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Tailoring the truth – evidence on parliamentarians’ responsiveness and misinformation toleration from a field experiment

Published online by Cambridge University Press:  05 January 2023

Matthias Diermeier*
Affiliation:
German Economic Institute, Cologne, Germany
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Abstract

Populist radical right parties (PRRPs) claim to be particularly responsive to people’s needs and have been identified as a major source of disinformation. The present contribution sets up a field experiment to zoom in on one-to-one communication between voters and their parliamentarians. By drawing on pieces of misinformation that are present among different parties’ supporters, artificial citizen’s requests are sent to all 2503 German federal parliamentarians. In fact, PRRP politicians do not turn out to be more responsive and they are by far more reluctant to reject misinformation. In contrast, parliamentarians of all other parties largely object to misinformation, even if it matches their political positions and is shared by their electorates. In opposition to PRRP politicians who reveal signs of vote-seeking behaviour, established parties’ communication behaviour indicates a high degree of intrinsic motivation.

Type
Research Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of European Consortium for Political Research

Introduction

It is the nature of political competition that different parties stress different aspects of the same political issue. Recently, however, political communication research has more specifically turned toward studying the dissemination of false information. The rising interest in this pertinent field of study is first and foremost due to the rise of anti-establishment populist radical right parties (PRRPs) who endorse ‘fake news’ in a twofold way.

First, PRRPs use ‘fake news as a label’ (Egelhofer and Lecheler, Reference Egelhofer and Lecheler2019: 97) to accuse and discredit certain sources of news. A main characteristic of PRRPs is constituted by a Manichaean discourse that distinguishes between a putatively corrupt elite and the ‘good people’. In this vein, established media and expert knowledge count much less than people’s ‘unfiltered’ experience, ‘gut feelings’, emotions, and common sense (Hameleers, Reference Hameleers2022). Since ‘the elite’ putatively ignore the latter and argue based on facts that might be unrelated to citizens’ daily experiences, populists can portray themselves as the people’s only true representation (Mu05e, Reference Mudde2007).

Second, PRRPs have applied ‘fake news as a genre’ by intentionally creating ‘pseudojournalistic disinformation’ (Egelhofer and Lecheler, Reference Egelhofer and Lecheler2019: 97). Many scholars have convicted populist politicians of strategically spreading false information and polarizing political co01unication (Castanho Silva, Reference Castanho Silva2018; Runciman, Reference Runciman2018). Importantly, a narrow line has been drawn between the deliberate propagation of ‘disinformation’ and the unintentional spread of ‘misinformation’ (Hameleers, Reference Hameleers2020: 148). Examples of deliberate disinformation may be the White House press secretary Sean Spicer’s pretension that Donald Trump was received by the largest inauguration crowd in the history of the United States (The Guardian, 2017), Boris Johnson’s famous Brexit campaign claim that the UK sends 350 million Pounds to the EU every week (Full Fact, 2017), or the German Alternative für Deutschland’s (AfD) exaggeration that homicides committed by foreigners in Germany had increased by 685% in 2018 (Tagesschau, 2019). Even these examples, however, reveal the difficulties in differentiating between misinformation and disinformation (Egelhofer and Lecheler, Reference Egelhofer and Lecheler2019).

Intentionally or not, the rise of radical politicians and their (social) media coverage is often associated with the rise of misinformation (Bennett and Pfetsch, Reference Bennett and Pfetsch2018; Berning et al., Reference Berning, Lubbers and Schlueter2019; Gerstlé and Nai, Reference Gerstlé and Nai2019; Schmidt, Reference Schmidt2020). As a matter of fact, PRRP supporters have been strongly exposed to false information, particularly through social media content (Allcott and Gentzkow, Reference Allcott and Gentzkow2017; Gunther et al., Reference Gunther, Beck and Nisbet2019; Guess et al., Reference Guess, Nyhan and Reifler2020). Unsurprisingly, clutching at inaccurate knowledge known as ‘overconfidence’ (van Prooijen and Krouwel, Reference van Prooijen and Krouwel2019: 159) has been shown to correlate with support for the populist radical right (van Kessel et al., Reference van Kessel, Sajuria and van Hauwaert2021).

In contrast to the well-researched sphere of semi-public social media and the level of misinformation present among PRRP supporters, much less is known about the behaviour of PRRP politicians when being confronted with misinformation in private, direct, or one-to-one communication with their constituents. Recently, such discourses have been analysed in innovative responsiveness experiments based on constituent inquiries: In the US, senators were found to strategically tailor their answers on a controversial issue congruent with the stated constituent’s preferences (Grose et al., Reference Grose, Malhotra and van Parks Houweling2015). Until today, this strand of literature does little to address the special role that direct voter-politician communication might play for the radical right. The present analysis bridges this gap by carrying out a citizen’s inquiry experiment and asking the following research question:

How do politicians behave when confronted with different pieces of misinformation? Do PRRP politicians stand out in their behaviour in comparison with representatives of other party families?

The present analysis links the PRRP disinformation and misinformation literature that focuses on social media with the experimental approaches that fail to zoom in on the populist radical right behaviour when dealing with misinformation in citizen’s inquiries: A total population experiment of one-to-one citizen-parliamentarian communication of all 2503 national and state parliamentarians is carried out. Misinformation is operationalized for the AfD’s and the Green Party’s core issues – immigration and climate change.

Literature review

Tailoring the truth on the populist right: the German case

For decades, Germany has been interpreted as particularly resilient against the appearance of a significant political competitor on the far right (Bornschier, Reference Bornschier2012). The German electoral system follows the principal of proportionality on the national and state level, generally enabling small (and radical) competitors to enter the parliaments. However, a candidate needs to win the relative majority of ‘first votes’ in their constituency to ‘directly’ enter a parliament or parties need to meet an electoral threshold of 5% of the overall ‘second votes’ to nominate a faction of parliamentarians through a pre-defined party list.

In the course of the reorganization of the North-Western European party systems from the traditional redistribution issue to an extremely salient cultural/anti-immigration cleavage (Bornschier, Reference Bornschier2010; Hutter and Kriesi, Reference Hutter and Kriesi2019), the German party system finally stretches between a typical populist radical right party and its ‘natural’ opponent – a Green Party. Founded in 2013, within only five years the populist radical right Alternative für Deutschland (AfD) entered the national and all 16 state parliaments. The young party was not only able to draw upon several well-known conservative politicians but also on several experienced staffers that had served for several political competitors (Pinkert et al., Reference Pinkert, Pittelkow and Riedel2017). In the federal election in 2021, 16 AfD parliamentarians not only entered the parliament proportionally to the party’s overall share of votes but also received the highest vote share among the candidates in their electoral districts.

Hence, the current German political system represents an interesting object of study to carry out an experiment that focuses on the behaviour of PRRP parliamentarians when faced with misinformation. Within its European populist radical right party family, the AfD represents ‘a case in point’ (Conrad, Reference Conrad2022: 58) that rides the wave of ‘post-truth campaigning’. The party regularly bills itself to be particularly responsive and to represent ‘the true people’ (‘wir sind das Volk’) while being criticized for spreading misinformation by its competitors and the media (Siri and Lewandowsky, Reference Siri, Lewandowsky, Bergem, Diehl and Lietzmann2019). The German PRRP employs an anti-elite rhetoric, promotes a traditional way of life, stages itself as the defender of a homogeneous, nativist nation state, opposes immigration, and denies that climate change resulted from human activities (Schmitt-Beck, Reference Schmitt-Beck2017; Arzheimer and Berning, Reference Arzheimer and Berning2019). Furthermore, the AfD dominates online communication among German parties and manages to circumvent potentially dividing topics by aggressively focusing on anti-immigration positions (Serrano et al., Reference Serrano, Shahrezaye, Papakyriakopoulos and Hegelich2019). Unsurprisingly, ‘disinformation trackers’ reveal that seven of the ten most spread items of disinformation in the German federal election campaign 2017 have been shared by the German PRRP (Sängerlaub et al., Reference Sängerlaub, Meier and Rühl2018). In fact, the AfD is understood to have triggered the rise of disinformation in Germany, which is increasingly perceived as a threat to democracy (Reuter et al., Reference Reuter, Hartwig, Kirchner and Schlegel2019).

On the other cultural end of the political spectrum, the Green Party embraces a multi-cultural society, favours post-materialist values, and stresses Germany’s responsibility in the fight against climate change as their core issue (Bündnis 90/Die Grünen, 2020). In line with their extreme positioning in the German climate change debate, the Greens were accused by the AfD of ‘hysterical climate-crisis screeching’ (own translation, Frindte and Frindte, Reference Frindte and Frindte2020) as the right-wingers demanded ‘fact-based climate and energy politics’ (own translation, Deutscher Bundestag, 2018).

Hence, the AfD and the Greens promote opposing policy platforms in various topics (see Figure 1) and their electoral success can be clearly attributed to their respective core issues: anti-immigration for the AfD; the fight against climate change for the Greens. Furthermore, AfD politicians regularly claim to be particularly responsive as only they are the people’s true spokesperson. The Green Party also claims a special responsiveness, for example, regarding the grassroots movement Fridays for Futures (own translation, Bundestagsfraktion Bündnis 90/Die Grünen, 2019).

Figure 1. Issue positioning in the German party system.

Source: Chapel Hill Expert Survey (2020).

New experimental evidence: responsiveness tests with parliamentarians

Up to know, little is known about the motivation and cognitive mechanisms behind politicians’ communication behaviour in polarized political systems (Sheffer et al., Reference Sheffer, Loewen, Soroka, Walgrave and Sheafer2018). In general, legislators are understood to be intrinsically-motivated if their behaviour is driven by their view of how a dutiful politician should behave (Norris, Reference Norris1997). Intrinsically-motivated parliamentarians are not expected to discriminate between specific groups in the electorate, and selective or strategic communication should be less frequent. In contrast, legislators are understood to be extrinsically-motivated if they are primarily driven by vote-seeking behaviour (Cain et al., Reference Cain, Ferejohn and Fiorina1984). In order to understand the motivation behind representatives’ communication behaviour, it is helpful to disentangle intrinsic and extrinsic motivational drivers (Bénabou and Tirole, Reference Bénabou and Tirole2003). In line with the concept of extrinsic motivation, Butler et al. (Reference Butler, Karpowitz and Pope2012) compare selective answering to an election campaign’s ‘microtargeting’; Bol et al. (Reference Bol, Gschwend, Zittel and Zittlau2021) reveal higher response rates if an inquiry includes a personal vote intention or if a candidate is elected ‘directly’ (not through a party list); and Bowler and Farrell (Reference Bowler and Farrell2011) find that legislators elected in smaller districts are more responsive. In fact, extrinsic motivation often seems to dominate the decision of whether a request is answered or not (Vries et al., Reference de Vries, Dinas and Solaz2016), crowding out intrinsic motivation (Giger et al., Reference Giger, Lanz and de Vries2020).

Experimental studies that analyse the role of politicians in their direct communication with constituents draft an e-mail or letter with a request or question posed by an artificial citizen to a parliamentarian. This form of ‘contacting’ is a standard way for citizens to address their representatives at low-cost (Teorell et al., Reference Teorell, Torcal, Montero, van Deth, Montero and Westholm2006; Theocharis and van Deth, Reference Theocharis and van Deth2018).Footnote 1 For Bundestag parliamentarians and their staff who deal with a great variety of different duties, communication with constituents represents one of the core tasks (Bröchler and Elbers, Reference Bröchler and Elbers2001). Response rates to citizen’s inquiries are found to be comparatively high in Germany, ranging between 63 and 79% for Bundestag MPs (Heß et al., Reference Heß, von Scheve and Zittlau2018; Bol et al., Reference Bol, Gschwend, Zittel and Zittlau2021) and 79% for local governments (Grohs et al., Reference Grohs, Adam and Knill2016).Footnote 2 It is important to note that parliamentarians in Germany stand on a level playing field in terms of funding. They are free to pick their own staff and design their own communication strategy. The Bundestag offers a monthly budget of 19,913 Euros for each parliamentarian to be spent on their employees, financing the salaries of a total staff of 4,500 people (Deutscher Bundestag, 2015). It remains in the control of individual parliamentarians how many resources are devoted to communication activities. Nevertheless, the literature on the organizational structure of parliamentarians finds that replies in audit experiments differ between politicians and their staff. Also, more professionalization is associated with less discriminatory answers (Landgrave and Weller, Reference Landgrave and Weller2019).

Costa (Reference Costa2017) summarizes the growing field of experiments (Butler and Broockman, Reference Butler and Broockman2011; Broockman, Reference Broockman2013; Grohs et al., Reference Grohs, Adam and Knill2016; Levine and Glick, Reference Levine and Glick2017): The easier it seems to convince a voter the more responsive elected officials turn out to be – namely if the politician and the voter share relevant characteristics. Unfortunately, these studies remain silent on the treatment of misinformation or disinformation and on the peculiarities of populist radical right politicians. The populist ideology is fundamentally based on the Manichaean division between a corrupt elite and the ‘true people’ and is translated into a specific form of communication: By circumventing established media and promoting direct democracy, populists often claim to take citizens’ concerns more seriously than other politicians (Mudde, Reference Mudde2007; Krämer, Reference Krämer2014; Schürmann, Reference Schürmann2022). Hence, the intent of PRRPs to represent voters that feel alienated from mainstream parties and the respective increase in turnout has even been dubbed a ‘corrective for democracy’ (Mudde and Kalwasser, Reference Mudde and Kalwasser2017).Footnote 3

Given the people-centric populist ideology, the effect of extrinsic motivation on responsiveness should be less pronounced among radical right populists. Since PRRP representatives claim to take people’s concerns seriously, independent of whether a request is based on expert knowledge or empirical evidence (Hameleers, Reference Hameleers2020), they should respond less selectively when being ‘contacted’ with flawed pieces of evidence.

H1: In contrast to selective responsiveness to misinformation among established parties, we expect PRRP parliamentarians to be more responsive independent of the stimulus.

Once representatives decide to answer an inquiry, they must deal with the respective content. Again, if responsive democratic representatives followed an intrinsic idealistic conception, all requests would be answered ‘neutrally’ by correcting potentially wrong facts and supplying a political interpretation independent of their party’s issue positioning. If extrinsic motivation mattered, however, parliamentarians might ‘not really care that much about the truth or they care about other things (partisan causes) more than the truth’ (Chambers, Reference Chambers2021: 148).

Hence, the party’s issue positioning could affect the toleration of misinformation. Since a piece of misinformation might imply a certain topic is more pressing or severe than it actually is, it may be tolerated or rejected depending on a party’s political agenda. Finally, a conscious vote-seeking behaviour would be reflected by greater tolerance for disinformation in line with a party’s positioning.

Such an interpretation, however, understates the cognitive constraints that limit politicians’ conscious behaviour. Based on the theory of motivated reasoning (Kunda, Reference Kunda1990), recent research has advanced the psychological understanding of political behaviour and isolated the effect of a confirmation bias (Jakobson, Reference Jakobson2010; Knobloch-Westerwick et al., Reference Knobloch-Westerwick, Mothes, Johnson, Westerwick and Donsbach2015; Westerwick et al., Reference Westerwick, Johnson and Knobloch-Westerwick2017). In a field experiment, Sheffer et al. (Reference Sheffer, Loewen, Soroka, Walgrave and Sheafer2018) reveal that political representatives base their decision-making heavily on framing effects and are more often subjected to choice anomalies than ordinary people. These cognitive biases could drive representatives to unconsciously ignore partisan misinformation in constituent inquiries (Kappes et al., Reference Kappes, Harvey, Lohrenz, Montague and Sharot2020; Körösényi et al., Reference Körösényi, Patkós, Plesz and Susánszky2022). Both extrinsic vote share maximization (disinformation) and an implicit confirmation bias (misinformation) imply a higher tolerance for flawed facts in line with a party’s (core) issue positioning.

H2: The more closely a misinformation is related to a party’s positioning, the higher the tolerance of respective pieces of misinformation in citizen’s requests.

Since all politicians somehow rely on winning votes, depending on the party’s positioning and the pieces of misinformation, there is a smaller or larger temptation to ignore their constituents’ flawed views on an issue. For parties with an extreme issue positioning – for example single issue pro-climate or anti-immigration parties – it appears even more difficult to resist respective partisan misinformation. What is more, following Mudde’s (Reference Mudde2007) understanding of PRRPs, it seems well understandable that respective politicians turn out to be particularly lax when dealing with facts.

First, radical right parties are grounded on a nativist illiberal ideological position. In this sense, the idealistic conception of a politician who truthfully explains pros and cons of an issues to their constituents in order to meet the ideal of deliberative democracy is simply less appealing for PRRP parliamentarians – far beyond their nativist core issue.

Second, the party family is characterized by their populist anti-establishment appeal. Based on Weyland (Reference Weyland1999), there is a longstanding tradition in understanding populist representatives as rational actors who employ ‘a series of tactics in order to concentrate power’ (Rueda, Reference Rueda2021: 169). Following the unrestrained ‘people’s will’, translates into less respect for specific moral guardrails. In fact, as populists’ key communication elements, discursive and stylistic simplification can be identified as well as the defiance of expert knowledge (Moffitt, Reference Moffitt2018; Hameleers, Reference Hameleers2020). By challenging established gatekeepers, they intend to raise concerns about the status quo of the political, societal and economic situation: ‘the communication and mobilization by populist actors build their success on the cultivation of collective grievances’ (Giebler et al., Reference Giebler, Hirsch, Schürmann and Veit2021: 914). Deliberately proclaiming a societal crisis is one of the key elements on the populist political agenda (Rooduijn, Reference Rooduijn2014). Hence, extrinsic motivation would particularly trigger the deliberate toleration of negative disinformation among PRRP politicians.

Taken together, PRRPs’ particular communication behaviour is driven by a radical denial of liberal as well as deliberative democracy and their gatekeepers, in combination with a stark commitment to cherish the unfiltered ‘people’s will’. Furthermore, even if parliamentarians were inclined to correct misinformation, they need to deal with an electorate that might not favour being challenged in their political views. It needs to be acknowledged that extreme political attitudes generally correlate with a ‘black and white’ understanding of complex issues (van Prooijen and Krouwel, Reference van Prooijen and Krouwel2019). Building upon the findings from social psychology, van Kessel et al. (Reference van Kessel, Sajuria and van Hauwaert2021) show that supporters of the populist radical right stand out in their level of misinformation, even compared to non-voters. Challenging prevailing misinformation can be difficult as they ‘engage deeper emotional truths […] that wilfully defy reason’ (Bennett and Livingston, Reference Bennett and Livingston2018: 135). Given the ‘overconfidence’ (van Prooijen and Krouwel, Reference van Prooijen and Krouwel2019) that many PRRP supporters exhibit, it is possible that their political representatives face higher electoral costs when correcting negative misjudgements (Chambers, Reference Chambers2021). Radicalism and populism in combination with potentially higher electoral costs leads to the hypothesis that PRRPs are especially inclined to overlook flawed facts beyond their specific issue positioning.

H3: Disinformation tolerance is expected to be particularly pronounced for the populist radical right.

Misinformation operationalization and research design

A major difficulty in operationalizing false information in an experimental setting is the distinction between deliberate disinformation and unintentional misinformation. To avoid confusion in this ‘grey zone’ (Tandoc et al., Reference Tandoc, Lim and Ling2018), the following experiment is limited to quantifiable pieces of misinformation that the different parties’ supporters actually believe in.

Topic-specific misinformation inquiries are designed for the two most controversial issues in the past German elections. Whereas the federal election of 2017 is widely interpreted as a vote on immigration (Korte, Reference Korte, Korte and Schoofs2019) – with the AfD winning a historically high share of 12.7% – the election of the European Parliament in 2019 was dominated by the issue of climate change (Kaeding et al., Reference Kaeding, Müller and Schmälter2020) – with the German Green Party skyrocketing to a 20.5% election result. Fictional constituent inquiries are drafted around these core issues. The experiment employs the actual misperceptions of party supporters on very general and clearly verifiable facts. To generate comparable results for the political extremes, an immigration vignette employs the numerical overstatement of a negative characteristic of immigrants and a climate change vignette employs the numerical understatement of the progress in fighting climate change (see Figure 2). Dealing with immigration statistics, it needs to be noted that people generally overestimate immigration numbers as well as underestimate their labour market performance and unemployment rates (Alesina et al., Reference Alesina, Miano and Stantcheva2022). Hence, we need to be cautious when interpreting our results as parties could be comparatively used to flawed facts when immigration is concerned.

Figure 2. Artificial citizen’s request sent outFootnote 4.

Note: Randomized parts are in bold.

As a first stimulus, parliamentarians are asked whether ‘actually’ 48% of immigrants in Germany were unemployed in line with AfD supporters’ perception. The true value was only 14.4% in 2020 (Federal Employment Agency, 2021a). The second stimulus asks whether the current share of renewable energy of total electricity consumption in Germany laid ‘merely’ around 35% in line with the German Green Party supporters’ perception. The true value increased to 45.4% in 2020 (Federal Environment Agency, 2020). Hence, the first misinformation backs the AfD’s anti-immigration positioning in line with the beliefs of their electorate. The second misinformation stimulus provides an argument to accelerate investments in renewable energy in line with the Green Party’s positioning and beliefs of their electorate. Despite the fact that even parliamentarians of established parties might be used to misperceptions of immigrants, they are most likely not used to people expecting every second immigrant to be unemployed.

It needs to be considered that these misinformation treatments differ qualitatively and quantitatively.Footnote 5 Since the immigration misinformation is quantitatively larger and qualitatively more clearly aligned with the AfD’s positioning than the renewable energy treatment is with the Green Party’s positioning, differences in the party’s communication behaviours over the stimuli need to be interpreted carefully. As a control stimulus, the Germany-wide perceived unemployment rate of 24% is chosenFootnote 6 – whereas the official average 2020 unemployment rate was 5.9% and increased only slightly over the course of the pandemic (Federal Employment Agency, 2021b).

To increase responsiveness in line with Bol et al. (Reference Bol, Gschwend, Zittel and Zittlau2021) and Giger et al. (Reference Giger, Lanz and de Vries2020), the fictional inquirer pretends to be a constituent, sympathizes with the addressed politician, and offers a potential vote for future elections. To reduce the chances that the request is forwarded to and answered by a central representative from the faction, the inquirer states to live in the parliamentarian’s constituency. The inquiries are designed to be salient but neutral (neither pro nor con regarding the piece of misinformation: ‘is it really true that […]’), to test politicians’ responsiveness and their tolerance for misinformation as generally as possible: The voter pretends to feel insecure regarding the conflicting information that is present in the debate on an issue and asks for the parliamentarian’s assessment. For reasons of comparability, the empirical question refers to the federal level.

To assess the party-level differences of responsiveness and misinformation tolerance in electorate-parliamentarian communication, data of all German national and state parliamentarians is collected including their names, gender, e-mail addresses, the states where the constituencies are located as well as their faction, faction size, government participation by faction, issue positioning and salience by faction as well as upcoming elections in 2021.Footnote 7 In case such information was unavailable online, the parliament was contacted in order to receive the missing data. Further information on the legislators’ mode of election (directly or through a party list)Footnote 8 was retrieved from Abgeordnetenwatch.Footnote 9 To assess whether parliamentarians themselves or their staff answered an inquiry, the name that signed an answer was compared to each inquiry’s recipients.

Finally, a complete mailing list of 703 national and 1800 state parliamentarians of the six major German parties was compiled.Footnote 10 Comparable to Bol et al. (Reference Bol, Gschwend, Zittel and Zittlau2021), two e-mail addresses were created consisting of common German names and surnames to circumvent potential responsiveness bias in relation to gender or ethnicity (Butler and Broockman, Reference Butler and Broockman2011). The common German e-mail service t-online.de served as an e-mail provider.

The e-mails were sent to parliamentarians in two waves to spread the same e-mail content over several days and thus avoid being detected as a fake inquiry or spam by the parliamentarians and their staff. A third of each faction’s parliamentarians received either an immigration, a renewable energy or an unemployment related inquiry. The distribution of issues has been randomized over parties and states. Time spans between the waves were kept to a minimum of one week to reduce the probability of political events that complicate comparability between the waves. To increase responsiveness, the e-mails were sent in January 2021 avoiding parliamentarian holidays and election periods. In sum, three different stimulus e-mails (immigration, renewable energy, unemployment) were sent by two different aliases in two separate waves, yielding a 3 x 2 x 2 experiment set-up. Robustness checks verify that the results do not differ for different alias or waves.Footnote 11

The experiment enables an analysis of the two dependent variables of interest: First, the topic-related response rate by political faction (responsiveness); second, the share of parliamentarians who respond to the inquiry but remain quiet on the quantitative question or actively tolerate the piece of misinformation (misinformation toleration). Comparing the level of responsiveness and misinformation with parties’ salience, issue positioning, and parliamentarians’ characteristics, we analyse if political communication follows a strategic rationale and if the PRRPs’ behaviour deviates from established parties.

Ethical considerations

Field experiments that intend to uncover political communication between legislators and voters have recently become fashionable in political sciences (Butler and Broockman, Reference Butler and Broockman2011; Broockman, Reference Broockman2013; Grohs et al., Reference Grohs, Adam and Knill2016; Levine and Glick, Reference Levine and Glick2017; Bol et al., Reference Bol, Gschwend, Zittel and Zittlau2021). These analyses are usually based on politicians’ answers to artificial voter inquiries. Hence, in order to simulate real communication between citizens and politicians, the political representatives are deceived and left to believe they face inquiries from actual potential voters. In general, the politicians’ deception in such experiments raises ethical concerns (Butler et al., Reference Butler, Karpowitz and Pope2012; Landgrave, Reference Landgrave2020; Bischof et al., Reference Bischof, Cohen, Cohen, Foos, Kuhn, Nanou, Visalvanich and Vivyan2022). The fact that the present experimental setting sends e-mails from fictional constituents in order to reveal politicians’ behaviour when dealing with misinformation is particularly questionable. Any potential critique resulting from the present study of politicians deceiving voters stands on shaky grounds as it is based on deception itself. Unfortunately, the research question is not suitable for a less deceptive audit that includes actual information about the underlying research project as proposed by Landgrave (Reference Landgrave2020).

When investigating how parliamentarians deal with misinformation, we are particularly interested in the communication behaviour on the political fringes. Therefore, disclosing the requests’ scientific nature is expected to bias the different parties’ response behaviour disproportionally. Deception could also have been reduced by recruiting genuine constituents who voluntarily draft requests (Bischof et al., Reference Bischof, Cohen, Cohen, Foos, Kuhn, Nanou, Visalvanich and Vivyan2022). Unfortunately, the identification of sufficient citizens who hold representative levels of misinformation and consent to participate in the experiment was impossible. Nevertheless, we believe that the evidence revealed from the outlined experiment outweighs the ethical reservations.

First and foremost, in the context of misinformation, disinformation, and the respective prevailing accusations that different parties face, the experiment sheds light on hidden and important democratic processes. If democracy is endangered (Reuter et al., Reference Reuter, Hartwig, Kirchner and Schlegel2019) or even going to ‘end’ (Runciman, Reference Runciman2018) due to partisanship, misinformation, and finally a degeneration of political culture into self-referential subgroups, there is a pressing need for independent and unbiased research on the issue. In the end, it is in the public interest to understand how politicians tailor the truth to deceive voters. That being said, the findings generated in the experiment will be treated as a public good, made available to the research community and consciously spread through media channels. Perhaps the public discussion on the deliberate toleration of disinformation or the unconscious toleration of misinformation by politicians of different parties has the power to trigger a more responsible way of dealing with citizen’s requests.

Second, of the few ways to analyse direct one-to-one communication, e-mail-based experiments trigger the lowest adverse effects and repercussions. Ethically, it would be preferable to observe communication behaviour in a controlled experimental environment. Unfortunately, such a set-up faces challenges of selection bias, external validity, and the difficulties of recruiting a sufficient number of politicians (Sheffer et al., Reference Sheffer, Loewen, Soroka, Walgrave and Sheafer2018). In e-mail-based experiments the effort for legislators or their team to answer the stimulus e-mails is low and does not alter their general functional capacities. Legislators receive and answer multiple e-mails each day and have standardized answers for requests in their main political issues. In contrast, a citizen’s request is one of the few chances for constituents to interact one-on-one with their representatives. In case parliamentarians or their staff decide to research the true number demanded in an inquiry, the questions posed require a minimum online search. Those politicians who consider answering too time-consuming face no cost when refusing an answer. In line with Alizade et al. (Reference Alizade, Dancygier and Ruth2021), we respond to any parliamentarian who wants to gather further information by a standardized answer that our request was no longer valid.

Third, we addressed potential privacy protection violations by not asking for any confidential information. We deleted the e-mail accounts immediately after the experimental period and saved the original data on an encrypted hard drive. In order to avoid any inference on individual answers, for publication purposes we aggregate quantitative data to the party level.

Fourth, we answered every response with a standardized expression of our gratitude, to prevent lower responsiveness to following service requests.

Fifth, parliamentarians who participated in the experiment received a debriefing e-mail including the final published article and an invitation to discuss the results.

Lastly, our research outline was approved by the academic ethics commission of the University of Duisburg-Essen and pre-registered at the Open Science Framework.

Results

Responsiveness: ‘defender of the true people’ fail to live up to their own demands

Of the 2503 addressed parliamentarians on the national and state levels, 1283 (51.3%) provided an answer. Independent of how intensely replies engage with the inquirers’ questions, an answer to a citizen’s request was coded as responsiveness and to the contrary, every non-response was coded as a lack of responsiveness.Footnote 12 The response rate of 65.6% for Bundestag parliamentarians lies within the range that has been identified by similar experiments on the national level in Germany (Heß et al., Reference Heß, von Scheve and Zittlau2018; Bol et al., Reference Bol, Gschwend, Zittel and Zittlau2021). The response rate on the state level turns out to be significantly lower (45.7%), raising awareness for structural differences between the different federal layers. Compared to the responsiveness in other mature democracies (Costa, Reference Costa2017) and despite the specificity of the requests that did not fit into most addressed parliamentarians’ issue specializations, the response rate reveals German parliamentarians’ high willingness to engage with citizens on issue-specific topics.

Figure 3 dives deeper into the responsiveness analysis and provides an overview of response rates by party and citizen’s request. Response rates are the lowest for AfD politiciansFootnote 13 : Only 41.9% of all PRRP parliamentarians provide an answer to the experiment’s citizen’s inquiries. For each of the three different citizen’s requests, Germany’s self-declared ‘defender of the true people’ turns out to be less responsive than members of all other major political parties. Splitting the sample by Bundestag and Länder parliaments does not alter this finding. Regarding one-to-one responsiveness, the AfD seems to be the cause, rather than the saviour, of the putatively missing link between citizens and politicians.

Figure 3. Response rates, by party, in percent.

Source: Own depiction.

Response rates are comparable between the unemployment (54.2%) and the renewable energy (55.9%) query, but significantly lower for the immigration citizen’s requests (44.1%). The responsiveness ordering differs substantially for CDU/CSU, FDP, DIE LINKE and SPD. The Greens come second-to-last in the unemployment and immigration treatments and only manage to leave behind the FDP and left-wing parliamentarians in responsiveness to the renewable energy inquiry. The AfD ranges behind the established parties: Even when being approached by a citizen who is ‘concerned’ about immigration and shares the AfD supporters’ severe overestimation of immigrants’ unemployment rate, only 39.5% of the populist politicians provided an answerFootnote 14 – in contrast to a 44.8% response rate among non-AfD politicians.Footnote 15

Contrary to our expectations (H1), PRRP parliamentarians are not more but less responsive than other politicians. To test for selective response behaviour and control for faction specific differences in the motivational drivers, the following logistic regression models are specified:

$$\Pr {\left( {Responsiveness = 1} \right)_i} = logi{t^{ - 1}}\left( {{\beta _0} + {\beta _i}issue\;salience + {\beta _j}Controls} \right)$$

The binary responsiveness variable represents the dependent variable. We expect varying responsiveness in line with the respective party’s issue salience of our stimuli $i$ (unemployment, renewable energy, or immigration). Party-specific salience of the three issues is extracted from the Chapel Hill Expert Survey (CHES) (2020).Footnote 16 Since national MPs have access to more resources, we control for Bundestag affiliation on the individual level. The same could be possible for government parties and larger factions which we control for on the party-state-level. Signs of extrinsic motivation could be inferred from higher responsiveness in states with upcoming state elections in the coming year or for directly-elected politicians who strongly rely on the support of their constituency.Footnote 17 Since different parliaments potentially supply different levels of resources available to MPs, standard errors are clustered at the state level. Table 1 (Columns 1 to 3) shows the regression results of the three different issue treatments. Hypothesis 1 follows the rationale that parliamentarians are more willing to engage with their party’s core issue. As politicians are regularly approached with questions concerning their core issue, they have almost certainly prepared respective arguments, facts, and policies. Hence, they might be more confident to answer than when asked about less-common issues. Thus, for each regression we expect ${\beta _i} \gt 0$ .Footnote 18 For example, the highest response rate to the renewable energy issue – that is based on a piece of misinformation circulating among Green Party supporters – is expected from the Green Party.Footnote 19 Finally, the subsamples are pooled for a joint regression, including party dummy variables for parliamentarians of the AfD and the Green Party (see Table 1 Column 4):

$${\rm{Pr}}\left( {Responsiveness = 1} \right) = logi{t^{ - 1}}\left( {{\beta _0} + {\beta _1}AfD + {\beta _2}Green\;Party + {\beta _j}Controls} \right)$$

Table 1 Logistic regression models: responsiveness

Robust standard errors in parentheses, clustered at parliament level.

***p < 0.01,

**p < 0.05,

*p < 0.1.

Table 1 reveals no relationship between party-specific issue salience and the response rate. For all three citizen’s requests, there is no statistically significant relationship between issue salience and responsiveness. In contrast, national parliamentarians are more responsive than their state-level counterparts – despite when they are addressed with the immigration misinformation. In general, neither indicators of extrinsic motivation – an election year or having won the constituency ‘directly’Footnote 20 – nor evidence for a higher level of experience – a larger faction or government participation – goes along with higher responsiveness. However, responsiveness is higher in states with an upcoming election if contacted with the renewable energy request.Footnote 21 Despite the party-specific differences in issue salience, this topic has dominated the German political agenda in 2021 (Forschungsgruppe Wahlen, 2022). Possibly the importance of the climate change issue has triggered higher response rates during the election campaigns.

Finally, Table 1 (Column 4) reveals that ceteris paribus the low responsiveness of AfD parliamentarians is not statistically significant when considering the discussed covariates. AfD politicians are less often national than state parliamentarians, they do not form any government, their factions are smaller than those of other parties, and they win their constituencies less often directly – characteristics that are positively correlated with responsiveness in bivariate regressions. Hence, the AfD’s responsiveness is the lowest, but its differences to established parties are at least partly explained by the party’s peculiar characteristics. Nevertheless, we can reject the populist radical right’s claim of being particularly responsive.

Misinformation toleration: post-truthism on the political right

Of the parliamentarians who answered the citizen’s request, 92% corrected the misinformation and included a numerical number or reference to the official statistics.Footnote 22 Most parliamentarians who provide a numerical answer supply the official data or a number that resembles the official statistics closely. However, 103 of the 1283 (8%) parliamentarians’ answers failed to reject the pieces of misinformation. An inquiry is coded to have tolerated a flawed fact if it fails to reject the misinformation. Answers are coded to fail to reject the respective piece of misinformation for different reasons. First, this holds for answers if they simply ignore the empirical question and rather discuss the more generally posed question or an issue unrelated to the inquiry. Second, answers that falsely state there was no official data to evaluate the issue are coded to have tolerated misinformation (‘I can neither confirm nor deny the figures you mention […]. Exact figures are not published’.). Third, answers are coded as a toleration of misinformation if they consent with the inquirer’s proposed misinformation (‘These numbers are frightening and so are the consequences for our society’). The slightest notion of contest or an alternative numerical answer disqualifies a response from being coded as misinformation toleration. This even holds for an AfD politician who states that the unemployment rate ‘cannot be defined correctly right now’ but at the meantime ‘seems implausible’. Hence, this measure of misinformation toleration represents the very conservative lower bound of uncontested misinformation.

Impressively, Figure 4 reveals the party-specific patterns of misinformation tolerance between parties and the stark tolerance of false facts by AfD parliamentarians. Whereas 29.7% of AfD parliamentarians fails to contest the pieces of misinformation presented to them, the share for established parties’ politicians lies around only 5%. With only eight of the 318 SPD respondents tolerating misinformation, social democrats come the closest to the ideal of politicians as a source of unbiased information. Hypothesis 2, which claims that parties rather tolerate misinformation the more closely flawed facts are related to a party’s positioning, has to be rejected. Particularly the Green Party is highly resilient to misinformation even in its core topic. In contrast to underplaying the development of renewable energy in Germany in line with their supporters’ views, 93.5% of the Green parliamentarians contest the respective piece of misinformation. Thus, the AfD’s accusation about the Greens’ ‘hysterical climate-crisis screeching’ (own translation, Frindte and Frindte, Reference Frindte and Frindte2020) must be rejected. On the other end, four out of ten AfD parliamentarians tolerate or even reinforce the misinformation that the unemployment rate of immigrants ranged around 48% – as stated by their supporters.Footnote 23

Figure 4. Misinformation toleration rate, by party, in percent.

Source: Own depiction.

Finally, the following logistic regressions model the relationship between misinformation toleration and the party’s issue positioning in order to test for strategic behaviour or cognitive biases in politicians’ communication (H2):

$$\Pr {\left( {Toleration\;rate = 1} \right)_i} = logi{t^{ - 1}}\left( {{\beta _0} + {\beta _i}issue\;positioning + {\beta _j}Controls} \right)$$

The individual misinformation toleration variable is employed as the dependent variable. The Chapel Hill Expert Survey (2020) supplies data on issue positioning. Since a special interest in tailoring the truth in line with constituents could evolve from government participation, an upcoming election, or being directly elected, we add respective covariates as controls. Furthermore, we control for faction size and Bundestag affiliation, as these characteristics could indicate a higher level of professionalization and truthfulness. We cluster standard errors on the faction level in each parliament because the local political environment could play a role in dealing with misinformation. Again, we additionally run a logistic regression model for all treatment subsamples, but we also specify a pooled regression model that includes party specific dummy variables to specifically analyse the behaviour of PRRP parliamentarians and their counterparts (H3):

$${\rm{Pr}}\left( {Toleration\;rate = 1} \right) = logi{t^{ - 1}}\left( {{\beta _0} + {\beta _1}AfD + {\beta _2}Green\;Party + {\beta _j}Controls} \right)$$

Table 2 reports the issue-specific (Columns 1 to 3) and pooled (Column 4) regression results.Footnote 24 More right-wing parties turn out to have a higher chance of tolerating negative misinformation regarding the labour market, renewable energy, and immigration. The former two findings are surprising and lead us to reject Hypothesis 2. We expected anti-climate change parties to be more ‘flexible’ in dealing with environmental misinformation and left-wing parties to rather tolerate negative labour market misinformation. The regressions show that parties with respective issue positionings tend to shy away from exploiting misinformation in their favour – even if these misconceptions are present among their own supporters. In contrast, the regression results are driven by the AfD’s high misinformation tolerance. Excluding the AfD from the sample, the issue positioning coefficients become statistically insignificant. This also holds for the immigration citizen’s request, where more right-wing (anti-immigration) parties tend to tolerate negative misinformation.Footnote 25

Table 2 Logistic regression models: toleration rate

Robust standard errors in parentheses, clustered at parliament-party level.

***p < 0.01,

**p < 0.05,

*p < 0.1.

Table 2 (Column 4) reveals a statistically significant relationship between AfD membership and misinformation toleration: Translated into odds ratios, AfD politicians have a 6.6 times higher chance to tolerate misinformation than parliamentarians of established parties – ceteris paribus. In contrast to Hypothesis 2, misinformation toleration does not stem from a general confirmation bias or motivated reasoning that leads to an unconscious ignorance of partisan misinformation. The insignificance of being directly elected, having upcoming elections, or being better equipped points to intrinsically-motivated politicians who carefully reject misinformation.Footnote 26 Hence, the analysis of direct voter-politician communication reveals that for most parliamentarians of established parties, intrinsic motivation to supply correct information dominates the temptation to simply confirm whatever citizens ‘have heard’ – even if these pieces of misinformation would let the respective party’s positioning appear more pressing. In contrast, the extrinsic drivers of misinformation toleration might either fall on fruitful grounds within the populist radical right (disinformation) or be driven by especially pronounced cognitive biases (misinformation) (H3). Finally, the extreme anti-immigration positioning might reinforce but not entirely explain the AfD’s overall misinformation tolerance. The party’s communication behaviour rather needs to be understood following Mudde’s (Reference Mudde2007) characterization of the party family’s radical opposition to deliberative and liberal democracy as well as its reluctance to challenge people’s views even if these oppose officially provided statistics.

Conclusion

The prominently-detected dealignment between ‘the elite’ and ‘the people’ (Mair, Reference Mair2013) puts the spotlight on ‘the action or inaction of political elites and their interaction with the citizens’ (Merkel, Reference Merkel, Merkel and Kneip2018). Regarding the (deliberate) spread of misinformation and disinformation, scholars have pointed to the rise of the populist radical right and its anti-establishment ideology (Castanho Silva, Reference Castanho Silva2018; Runciman, Reference Runciman2018; Hameleers, Reference Hameleers2020). The present analysis argues that, taken together, the key characteristics of PRRPs shape the party family’s misinformation affinity. First, radicalism drives a fundamental opposition to specific aspects of liberal and deliberative democracy. Second, populism implies an unwillingness to defy the unfiltered ‘people’s will’ as well as an inherent mistrust in established sources of information.

Furthermore, we do not stop at focusing on the populist radical right, but rather ask if communication behaviour follows an inherent topic-specific logic. Parliamentarians’ decisions to answer as well as what to answer might be influenced by different motivational mechanisms. All politicians face time constraints, opportunity cost, choice anomalies (Sheffer et al., Reference Sheffer, Loewen, Soroka, Walgrave and Sheafer2018) as well as the extrinsic temptation of pretending to understand citizens’ concerns in order to win their votes (Cain et al., Reference Cain, Ferejohn and Fiorina1984).

The experiment was carried out in Germany and reveals the expected division in a proportional voting system that recently rearranged around a salient cultural cleavage. In general, all established parties seem to be rather intrinsically-motivated in their ‘private’ political communication: First, misinformation toleration is low among this group (5.4%) and does not follow a topic-specific pattern. Particularly, the Green Party – even approached with a piece of misinformation on poor renewable energy supply that their supporters believe – entirely lacks signs of motivated reasoning or confirmation bias. Its politicians abstain from tolerating partisan misinformation. Second, responsiveness is high for established parties (52.7%), despite the specificity of the requests that do not match parliamentarians’ individual issue specializations. Higher response rates on the national level, compared to the state level, point to structural differences in the different federal layers of the German political system. Additionally, more than two thirds of citizen’s requests seem to have been answered by parliamentarians themselves and no topic-specific strategic communication behaviour can be detected, not even for parliamentarians who were directly elected in their constituencies.

The opposite is the case for the German populist radical right. Based on their radical and populist ideology, we expected AfD politicians to be more responsive as well as more ‘flexible’ in dealing with misinformation. In line with the ‘affinity’ (Hameleers, Reference Hameleers2020: 146) between (right-wing) populism and mis- and disinformation (Waisbord and Amado, Reference Waisbord and Amado2017), nearly 30% of AfD parliamentarians’ answers fail to contest the pieces of misinformation presented to them. The regression models translate these differences into probabilities and estimate ceteris paribus a 6.6 times higher chance of tolerating misinformation for an AfD politician than for their established counterparts. When being confronted with the overestimation of immigrants’ unemployment rate of 48%, as AfD supporters actually believe, 40% of populist radical right parliamentarians tolerate this piece of misinformation.

Nevertheless, even the extremely high tolerance for immigration-related false facts leaves open whether PRRP communication follows conscious and strategic extrinsic motivation (disinformation) or unconscious motivated reasoning (misinformation). It is up to future research to disentangle the two potential drivers of political misinformation toleration and figure out why the radical right behaves differently. In contrast to the AfD’s people-centric appeal, the party clearly defies its claim to be especially eager to engage with citizen’s inquiries. Although the AfD does not stand out regarding the share of requests answered by staffers, the intuition that the young party’s low responsiveness could be explained by parliamentarians and their staff being rather inexperienced, needs to be carefully monitored during the coming legislative periods.

Furthermore, due to the peculiarities of the German party system, the present experiment has some limitations regarding its external validity. It would be promising to run a comparable experiment in a party system that entails a PRRP that is as established its competitors. Such a set-up could test if the present results are driven by AfD parliamentarians and their staff being less-professionalized. Furthermore, running the similar experiment in a political system that contains a PRRP in government would test whether the present results are shaped by the special oppositional role of the German PRRP. After all, the AfD is the only German party that is neither part of the national nor of any state government.

Finally, it is extremely difficult to identify pieces of misinformation that are comparable across issues. The present study employs stimuli that are qualitatively and quantitatively different. Also, experiments that employ artificial citizen’s requests inherently run the risk of being detected and treated as spam or fraud. External validity could be particularly questioned, if response rates would turn out to be systematically biased between parties.

Despite these limitations, the experiment corroborates the notion present in many European party systems: The threat for the political discourse comes from the populist radical right and the findings are particularly concerning due to the self-referential (analogous) filter bubbles in which PRRP representatives engage with their supporters. After all, people who distrust the political system are less informed, prefer authentic representatives, and do not necessarily favour their views being challenged (Valgarðsson et al., Reference Valgarðsson, Clarke, Jennings and Stoker2021). Typical for a PRRP, their parliamentarians allow ‘totally fabricated scientific data [to] make it past the gatekeepers (Chambers, Reference Chambers2021: 155) and capitalize on ‘society-centred discontent’ (Giebler et al., Reference Giebler, Hirsch, Schürmann and Veit2021).

The AfD has been characterized as a ‘case in point’ (Conrad, Reference Conrad2022: 58) of a European populist and radical right party. Accordingly, intrinsic motivation to meet the ideals of deliberative democracy where politicians argue on a truthful level playing field to discover the most valid arguments, might not appeal to parliamentarians (radicalism). Neither do PRRP politicians respect official sources of information that contradict their constituents (populism). Scholarship that monitors increasing discontentment with various political issues and a decreasing ‘factfulness’ of political communication should focus on the radical right end of the political spectrum.

Supplementary material

To view supplementary material for this article, please visit https://doi.org/10.1017/S1755773922000613.

Data availability statement

The anonymized datasets generated and analysed during the current study are made available in the Supporting Information’s document.

Acknowledgments

I would like to thank Karl-Rudolf Korte, Armin Mertens, Max Schiffers, Ruth Schüler, participants of the 5th International Conference on the Political Economy of Democracy and Dictatorship, and three anonymous reviewers for helpful comments on previous versions of this manuscript. The usual disclaimer applies.

Financial support

The author received no financial support for the research, authorship, or publication of this article.

Conflict of interest

None.

Ethics approval statement

The ethical implications of this design are discussed in Section 4. The ethics committee of the University of Duisburg Essen approved the study design (20-9715-BO).

Footnotes

1 Already by 2004, members of the US Congress were bombarded with 200 million e-mails and letters (Fitch and Goldschmidt, Reference Fitch and Goldschmidt2005). No such statistics are published or available upon request for Members of the German Bundestag.

2 Alizade et al. (Reference Alizade, Dancygier and Ruth2021) notes that it is a common practice in Germany for MP staff members to sign e-mails with ‘im Auftrag’ meaning that they have answered ‘in accordance’ with the MP.

3 See Bertelsmann Stiftung (2017) for respective evidence from Germany.

4 See online Appendix 1 for the original three vignettes sent out in German.

5 Whereas the immigration misinformation deviates 33.6% points from the actual value, the renewable energy misinformation deviation lies only 10.4% points below the official statistics.

6 The perceived share of unemployed immigrants, the perceived share of renewables in energy consumption, and the perceived unemployment rate were polled in a representative population survey in Germany (Schüler et al., Reference Schüler, Niehues and Diermeier2021). See online Appendix Table A1 for the translated wording of the questions.

7 See online Appendix Table A2 for the summary statistics of all variables employed in the regression models.

8 Directly elected representatives are more likely to deviate from the party line in e-mail communications (Bischof et al., Reference Bischof, Cohen, Cohen, Foos, Kuhn, Nanou, Visalvanich and Vivyan2022).

9 Abgeordnetenwatch is a project aimed at improving political transparency. Available information can be retrieved through an API: https://www.abgeordnetenwatch.de/api

10 See online Appendix Table A3 for a sample overview divided by factions.

11 Appendix Table A4 reveals no systemic impact of alias and wave on responsiveness (randomization test). Appendix Table A5 reveals that wave and alias, as well as pre-treatment variables, are unrelated to the issue treatment (balance test). The supplemental information confirms a successful randomization and balancing procedure across parliamentarians’ relevant pre-treatment characteristics.

12 Note that 161 parliamentarians (6.4% of the total sample) did not provide a qualitative answer to their request but offered a personal appointment (mostly by telephone) referencing the difficulties in explaining a controversial issue in a simple e-mail. In order not to waste the democratic representatives’ valuable time, such offers were kindly turned down. Since these politicians seemed eager to engage with citizens and to exchange arguments, their answers were coded as responses that did not tolerate misinformation.

13 See Appendix Table A6 for a numerical overview of response rates and the chi-square test of independence of AfD responses and those of other factions.

14 The qualitative differences between the stimuli complicate the interpretation of response rates between issues within a single faction. Respective statistical analyses are available upon request.

15 Note that for the immigration inquiry differences between the AfD and the other factions are not statistically significant (see Appendix Table A6).

16 Note that variables on issue-specific salience and positioning are not available individually but defined on the party level. In order to exploit the full variance of these variables, party fixed effects are excluded from the issue-specific regressions and are only added to the full sample model in Column 4. All additional model specifications with party fixed effects are available upon request.

17 Since the experiment did not reveal significant differences between Eastern and Western Germany nor between men and women, no respective dummy variables are included.

18 See Appendix Table A7a for the linear probability models.

19 Consult Figure 1 for an overview of party issue positioning and salience.

20 Interestingly, a bivariate comparison between the ‘mode of election’ and responsiveness reveals higher response rates for directly elected parliamentarians (54%) in comparison with parliamentarians elected through a party list (49%). Nevertheless, the effect turns out statistically insignificant in our multivariate regression model.

21 Descriptively, response rates are higher in the eight states with elections in 2021 (49.5%), in contrast to a response rate of only 42% in states without upcoming elections.

22 See Appendix Figure A1 for the numerical deviations of politicians’ answers from the official statistics by party averages. See Appendix Figure A2ac for box plots of the answer’s numerical deviation from official statistics.

23 See Appendix Table A8 for an overview of misinformation toleration rates and the chi-square test of independence of AfD responses and those of other factions.

24 See Appendix Table A7b for the linear probability models.

25 Since the results from Table 1 suggest that response behaviour does not significantly differ between parties, we expect the post-treatment bias in our results to be rather low. Nevertheless, the response rate is a post-treatment outcome and misinformation toleration is necessarily conditional on parliamentarians’ response behaviour. In theory, the analysis of misinformation toleration could be subject to post-treatment bias. Following the strategy proposed by Coppock (Reference Coppock2019) and applied by White et al. (Reference White, Nathan and Faller2015), Appendix Table A9 accounts for potential post-treatment bias by assuming the unobserved cases would have tolerated the misinformation. The results strengthen the interpretation that misinformation toleration in Germany is largely attributed to the AfD.

26 It needs to be noted that misinformation toleration seems to be unrelated to cross-party differences in professionalization measured by the share of replies answered by staffers. Overall, 68% of all e-mails were signed by parliamentarians themselves; 28% were answered by staffers; 4% were forwarded to third persons (other parliamentarians, experts, etc.). Whereas the party differences range from 77% self-signed by DIE LINKE to 63% self-signed by CDU/CSU, 73% of AfD answers were signed by the respective parliamentarian. The ‘staffer coefficient’ turns out insignificant when added to Table 2 Column 4. Results are available upon request.

References

Alesina, A., Miano, A. and Stantcheva, S. (2022), ‘Immigration and redistribution’, The Review of Economic Studies: rdac011. doi: 10.1093/restud/rdac011 Google Scholar
Alizade, J., Dancygier, R. and Ruth, D. (2021), ‘National penalties reversed: the local politics of citizenship and politician responsiveness to immigrants’, The Journal of Politics 83(3): 118.CrossRefGoogle Scholar
Allcott, H. and Gentzkow, M. (2017), ‘Social media and fake news in the 2016 election’, Journal of Economic Perspectives 31(2): 211236.CrossRefGoogle Scholar
Arzheimer, K. and Berning, C.C. (2019), ‘How the alternative for Germany (AfD) and their voters veered to the radical right, 2013–2017’, Electoral Studies 60. doi: 10.1016/j.electstud.2019.04.004 CrossRefGoogle Scholar
Bénabou, R. and Tirole, J. (2003), ‘Intrinsic and extrinsic motivation’, Review of Economic Studies 70(3): 489520.CrossRefGoogle Scholar
Bennett, W.L. and Livingston, S. (2018), ‘The disinformation order: disruptive communication and the decline of democratic institutions’, European Journal of Communication 33(2): 122139.CrossRefGoogle Scholar
Bennett, W.L. and Pfetsch, B. (2018), ‘Rethinking political communication in a time of disrupted public spheres’, Journal of Communication 68(2): 243253.CrossRefGoogle Scholar
Berning, C.C., Lubbers, M. and Schlueter, E. (2019), ‘Media attention and radical right-wing populist party sympathy: longitudinal evidence from The Netherlands’, International Journal of Public Opinion Research 31(1): 93120.CrossRefGoogle Scholar
Bertelsmann Stiftung (2017), Populäre Wahlen: Mobilisierung und Gegenmobilisierung der sozialen Milieus bei der Bundestagswahl 2017, Gütersloh: Bertelsmann.Google Scholar
Bischof, D., Cohen, G., Cohen, S., Foos, F., Kuhn, P.M., Nanou, K., Visalvanich, N. and Vivyan, N. (2022), ‘Advantages, challenges and limitations of audit experiments with constituents’, Political Studies Review 20(2): 192200.CrossRefGoogle Scholar
Bol, D., Gschwend, T., Zittel, T. and Zittlau, S. (2021), ‘The importance of personal vote intentions for the responsiveness of legislators: a field experiment’, European Journal of Political Research 60(2): 455473.CrossRefGoogle Scholar
Bornschier, S. (2010), Cleavage Politics and the Populist Right: The New Cultural Conflict in Western, Philadelphia: Temple University Press.Google Scholar
Bornschier, S. (2012), ‘Why a right-wing populist party emerged in France but not in Germany: cleavages and actors in the formation of a new cultural divide’, European Political Science Review 4(1): 121145.CrossRefGoogle Scholar
Bowler, S. and Farrell, D. (2011), ‘Electoral institutions and campaigning in comparative perspective: electioneering in European Parliament elections’, European Journal of Political Research 50(5): 668688.CrossRefGoogle Scholar
Bröchler, S. and Elbers, H. (2001), Hochschulabsolventen als Mitarbeiter des Parlaments: Politikberater oder Bürohilfskräfte? Ergebnisse einer internetgestützten Befragung der persönlichen wissenschaftlichen Mitarbeiter der Abgeordneten des Deutschen Bundestages, Hagen: polis-Arbeitspapiere aus der Fern- Universität Hagen Nr. 52/2001.Google Scholar
Broockman, D.E. (2013), ‘Black politicians are more intrinsically motivated to advance blacks’ interests: a field experiment manipulating political incentives’, American Journal of Political Science 57(3): 521536.CrossRefGoogle Scholar
Bundestagsfraktion Bündnis 90/Die Grünen (2019), ‘Klima-Appelle junger Menschen ernst nehmen’, Press Release. Retrieved from https://www.gruene-bundestag.de/presse/pressemitteilungen/klima-appelle-junger-menschen-ernst-nehmen Google Scholar
Bündnis 90/Die Grünen (2020), … zu achten und zu schützen …: Veränderung schafft halt. Grundsatzprogramm, Berlin: BÜNDNIS 90/DIE GRÜNEN.Google Scholar
Butler, D.M. and Broockman, D.E. (2011), ‘Do politicians racially discriminate against constituents? A field experiment on state legislators’, American Journal of Political Science 55(3): 463477.CrossRefGoogle Scholar
Butler, D.M., Karpowitz, C.F. and Pope, J.C. (2012), ‘A field experiment on legislators’ home styles: service versus policy’, The Journal of Politics 74(2): 474486.CrossRefGoogle Scholar
Cain, B., Ferejohn, J. and Fiorina, M. (1984), ‘The constituency service basis of the personal vote for U.S. representatives and British Members of Parliament’, American Political Science Review 78(1): 110125.CrossRefGoogle Scholar
Castanho Silva, B. (2018), ‘Populist radical right parties and mass polarization in the Netherlands’, European Political Science Review 10(2): 219244.CrossRefGoogle Scholar
Chambers, S. (2021), ‘Truth, deliberative democracy, and the virtues of accuracy: is fake news destroying the public sphere?’, Political Studies 69(1): 147163.CrossRefGoogle Scholar
Chapel Hill Expert Survey (2020), 2019 Chapel Hill Expert Survey. Version 2019.1. doi: 10.1016/j.electstud.2021.102420 Google Scholar
Conrad, M. (2022), ‘A post-truth campaign: the alternative for Germany in the 2019 European Parliament Election’, German Politics and Society 40(1): 5876.CrossRefGoogle Scholar
Coppock, A. (2019), ‘Avoiding post-treatment bias in audit experiments’, Journal of Experimental Political Science 6(1): 14.CrossRefGoogle Scholar
Costa, M. (2017), ‘How responsive are political elites? A meta-analysis of experiments on public officials’, Journal of Experimental Political Science 4(3): 241254.CrossRefGoogle Scholar
de Vries, C., Dinas, E. and Solaz, H. (2016), ‘You have got mail! How intrinsic and extrinsic motivations shape constituency service in the European Parliament’, IHS Political Science Series, Working Paper No. 140.Google Scholar
Deutscher Bundestag (2015), ‘Der Abgeordnete und seine Mitarbeiter’, Retrieved14 August 2020 from https://www.bundestag.de/dokumente/textarchiv/2015/kw32_finanzierung_buero-384390 Google Scholar
Deutscher Bundestag (2018), ‘AfD fordert eine “faktenbasierte Klima- und Energiepolitik”’, Retrieved 14 August 2020 from https://www.bundestag.de/dokumente/textarchiv/2018/kw26-de-klima-energiepolitik-561634 Google Scholar
Egelhofer, J.L. and Lecheler, S. (2019), ‘Fake news as a two-dimensional phenomenon: a framework and research agenda’, Annals of the International Communication Association 43(2): 97116.CrossRefGoogle Scholar
Federal Employment Agency (2021a), ‘Arbeitslosigkeit im Zeitverlauf: Entwicklung der Arbeitslosenquote (Strukturmerkmale)’, Retrieved 14 August 2020 from https://statistik.arbeitsagentur.de/Statistikdaten/Detail/Aktuell/iiia4/alo-zeitreihe-dwo/alo-zeitreihe-dwo-b-0-xlsx.xlsx Google Scholar
Federal Employment Agency (2021b), ‘Jahresrückblick 2020’, Retrieved 22 June 2021 from https://www.arbeitsagentur.de/presse/2021-02-jahresrueckblick-2020 Google Scholar
Federal Environment Agency (2020), ‘Erneuerbare Energien in Zahlen’, Retrieved 14 August 2020 from https://www.umweltbundesamt.de/themen/klima-energie/erneuerbare-energien/erneuerbare-energien-in-zahlen?sprungmarke=strom#strom Google Scholar
Fitch, B. and Goldschmidt, K. (2005), Communication with Congress: How Capitol Hill Is Coping with the Surge in Citizen Advocacy, Washington, DC: Congressional Management Foundation.Google Scholar
Frindte, W. and Frindte, I. (2020), Halt in haltlosen Zeiten: Eine sozialpsychologische Spurensuche, Wiesbaden: Springer VS.CrossRefGoogle Scholar
Full Fact (2017), ‘£350 million EU claim “a clear misuse of official statistics”’, Retrieved 29 June 2020 from https://fullfact.org/europe/350-million-week-boris-johnson-statistics-authority-misuse/ Google Scholar
Gerstlé, J. and Nai, A. (2019), ‘Negativity, emotionality and populist rhetoric in election campaigns worldwide, and their effects on media attention and electoral success’, European Journal of Communication 34(4): 410444.CrossRefGoogle ScholarPubMed
Giebler, H., Hirsch, M., Schürmann, B. and Veit, S. (2021), ‘Discontent with what? Linking self-centered and society-centered discontent to populist party support’, Political Studies 69(4): 900920.CrossRefGoogle Scholar
Giger, N., Lanz, S. and de Vries, C. (2020), ‘The motivational basis of constituency work: how intrinsic and extrinsic motivations interact’, Political Science Research and Methods 8(3): 493508.CrossRefGoogle Scholar
Grohs, S., Adam, C. and Knill, C. (2016), ‘Are some citizens more equal than others? Evidence from a field experiment’, Public Administration Review 76(1): 155164.CrossRefGoogle Scholar
Grose, C.R., Malhotra, N. and van Parks Houweling, R. (2015), ‘Explaining explanations: how legislators explain their policy positions and how citizens react’, American Journal of Political Science 59(3): 724743.CrossRefGoogle Scholar
Guess, A., Nyhan, B. and Reifler, J. (2020), ‘Selective exposure to misinformation: evidence from the consumption of fake news d uring the 2016 U.S. presidential campaign’, Nature Human Behaviour 4: 472480.CrossRefGoogle Scholar
Gunther, R., Beck, P.A. and Nisbet, E.C. (2019), ‘“Fake news” and the defection of 2012 Obama voters in the 2016 presidential election’, Electoral Studies 61: 102030.CrossRefGoogle Scholar
Hameleers, M. (2020), ‘Populist disinformation: exploring intersections between online populism and disinformation in the US and the Netherlands’, Politics and Governance 8(1): 146157.CrossRefGoogle Scholar
Hameleers, M. (2022), Populist Disinformation in Fragmented Information Settings: Understanding the Nature and Persuasiveness of Populist and Post-Factual Communication, New York: Routledge.Google Scholar
Heß, M., von Scheve, C. and Zittlau, S. (2018), ‘Ethnische Diskriminierung durch Bundestagsabgeordnete: Ein Feldexperiment’, Soziale Welt 69(4): 355378.CrossRefGoogle Scholar
Hutter, S. and Kriesi, H. (2019), ‘Politicizing Europe in times of crisis’, Journal of European Public Policy 26(7): 9961017.CrossRefGoogle Scholar
Jakobson, G. (2010), ‘Perception, memory, and partisan polarization on the Iraq War’, Political Science Quarterly 125(1): 3156.CrossRefGoogle Scholar
Kaeding, M., Müller, M. and Schmälter, J. (eds), (2020), Die Europawahl 2019: Ringen um die Zukunft Europas, Wiesbaden: Springer VS.CrossRefGoogle Scholar
Kappes, A., Harvey, A., Lohrenz, T., Montague, R. and Sharot, T. (2020), ‘Confirmation bias in the utilization of others’ opinion strength’, Nature Neuroscience 23: 130137.CrossRefGoogle ScholarPubMed
Knobloch-Westerwick, S., Mothes, C., Johnson, B., Westerwick, A. and Donsbach, W. (2015), ‘Political online information searching in Germany and the United States: confirmation bias, source credibility, and attitude impacts’, Journal of Communication 65(3): 489511.CrossRefGoogle Scholar
Körösényi, A., Patkós, V., Plesz, B. and Susánszky, P. (2022), ‘The potentials of heresthetic and rhetoric in an open framing situation: theory and evidence from a survey experiment’, European Political Science Review 14(1): 94114.CrossRefGoogle Scholar
Korte, K.-R. (2019), ‘Die Bundestagswahl 2017: Ein Plebiszit über die Flüchtlingspolitik’, in Korte, K.-R. and Schoofs, J. (eds.), Die Bundestagswahl 2017, Wiesbaden: Springer Fachmedien Wiesbaden, pp. 119.CrossRefGoogle Scholar
Krämer, B. (2014), ‘Media populism: a conceptual clarification and some theses on its effects’, Communication Theory 24(1): 4260.CrossRefGoogle Scholar
Kunda, Z. (1990), ‘The case for motivated reasoning’, Psychological Bulletin 108(3): 480498.CrossRefGoogle ScholarPubMed
Landgrave, M. (2020), ‘Can we reduce deception in elite field experiments? Evidence from a field experiment with state legislative offices’, State Politics & Policy Quarterly 20(4): 489507.CrossRefGoogle Scholar
Landgrave, M. and Weller, N. (2019), ‘Do more professionalized legislatures discriminate less? The role of staffers in constituency service’, American Politics Research 48(5): 571578.CrossRefGoogle Scholar
Levine, K. and Glick, D. (2017), ‘Does race affect access to government services? An experiment exploring street-level Bureaucrats and access to public housing’, American Journal of Political Science 61(1): 110116.Google Scholar
Mair, P. (2013), Ruling the Void. The Hollowing out of Western Democracy, London and New York: Verso.Google Scholar
Merkel, W. (2018), ‘Challenge or crisis of democracy’, in Merkel, W. and Kneip, S. (eds.), Democracy and Crisis: Challenges in Turbulent Times, Wiesbaden: Springer, pp. 128.CrossRefGoogle Scholar
Moffitt, B. (2018), ‘The populism/anti-populism divide in Western Europe’, Democratic Theory 5(2): 116.CrossRefGoogle Scholar
Mudde, C. (2007), Populist Radical Right Parties in Europe, New York: Cambridge University Press.CrossRefGoogle Scholar
Mudde, C. and Kalwasser, R. (2017), Populism: A Very Short Introduction, Oxford: Oxford University Press.CrossRefGoogle Scholar
Norris, P. (1997), ‘The puzzle of constituency service’, Journal of Legislative Studies 3(2): 2949.CrossRefGoogle Scholar
Pinkert, R., Pittelkow, S. and Riedel, K. (2017), ‘Bundestag: Mitarbeiter wechseln zur AfD’, Retrieved 16 November 2022 from https://daserste.ndr.de/panorama/aktuell/Bundestag-Mitarbeiter-wechseln-zur-AfD,afd1376.htmlGoogle Scholar
Reuter, C., Hartwig, K., Kirchner, J. and Schlegel, N. (2019), ‘Fake news perception in Germany: a representative study of people’s attitudes and approaches to counteract disinformation: paper presented at the 14th International Conference on Wirtschaftsinformatik’, Siegen.Google Scholar
Rooduijn, M. (2014), ‘The nucleus of populism: in search of the lowest common denominator’, Government and Opposition 49(4): 573599.CrossRefGoogle Scholar
Rueda, D. (2021), ‘Is populism a political strategy? A critique of an enduring approach’, Political Studies 69(2): 167184.CrossRefGoogle Scholar
Runciman, D. (2018), How Democracy Ends, London: Profile Books.Google Scholar
Sängerlaub, A., Meier, M. and Rühl, W.-D. (2018), Fakten statt Fakes: Verursacher, Verbreitungswege und Wirkungen von Fake News im Bundestagswahlkampf, Berlin: Stiftung Neue Verantwortung.Google Scholar
Schmidt, F. (2020), ‘Party populism and media access: the news value of populist communication and how it is handled by the mass media’, International Journal of Communication 14: 2360–2382.Google Scholar
Schmitt-Beck, R. (2017), ‘The ‘Alternative für Deutschland in the Electorate’: between single-issue and right-wing populist party’, German Politics 26(1): 124148.CrossRefGoogle Scholar
Schüler, R.M., Niehues, J. and Diermeier, M. (2021), ‘Politisches Informationsverhalten: Gespräch und traditionelle Medien liegen vorn’, IW-Report 19.Google Scholar
Schürmann, B. (2022), ‘Populismus, Krise und politische Mobilisierung: Wie Angebot und Nachfrage die AfD-Wahl und politischen Protest erklären können’, Discussion Paper SP V 2022-102 Wissenschaftszentrum Berlin für Sozialforschung.Google Scholar
Serrano, J., Shahrezaye, M., Papakyriakopoulos, O. and Hegelich, S. (2019), ‘The rise of Germany’s AfD: a social media analysis’, SMSociety 2019: Proceedings of the 10th International Conference on Social Media and Society, 214–223. doi: 10.1145/3328529.3328562 CrossRefGoogle Scholar
Sheffer, L., Loewen, P.J., Soroka, S., Walgrave, S. and Sheafer, T. (2018), ‘Nonrepresentative representatives: an experimental study of the decision making of elected politicians’, American Political Science Review 112(2): 302321.CrossRefGoogle Scholar
Siri, J. and Lewandowsky, M. (2019), ‘“Wir sind das Volk”: Zur Herausbildung eines Diskurses der identitären Demokratie im Umfeld der Partei Alternative für Deutschland (AfD)’, in Bergem, W., Diehl, P. and Lietzmann, H. (eds.), Politische Kulturforschung reloaded: Neue Theorien, Methoden und Ergebnisse, Bielefeld: transcript, pp. 273293.CrossRefGoogle Scholar
Tagesschau (2019), ‘Faktenfinder: AfD-Studie’, Retrieved 30 September 2020 from https://www.tagesschau.de/faktenfinder/afd-studie-101.html Google Scholar
Tandoc, E.C., Lim, Z.W. and Ling, R. (2018), ‘Defining “Fake News”’, Digital Journalism 6(2): 137153.CrossRefGoogle Scholar
Teorell, J., Torcal, M. and Montero, J. (2006), ‘Political participation: mapping the terrain’, in van Deth, J., Montero, J. and Westholm, A. (eds.), Citizenship and Involvement in European Democracies: A Comparative Analysis: A Comparative Analysis, Abingdon: Routledge, pp. 334–357.Google Scholar
The Guardian (2017), ‘Trump’s inauguration crowd: Sean Spicer’s claims versus the evidence’, Retrieved 29 June 2021 from https://www.theguardian.com/us-news/2017/jan/22/trump-inauguration-crowd-sean-spicers-claims-versus-the-evidence Google Scholar
Theocharis, Y. and van Deth, J.W. (2018), ‘The continuous expansion of citizen participation: a new taxonomy’, European Political Science Review 10(1): 139163.CrossRefGoogle Scholar
Valgarðsson, V.O., Clarke, N., Jennings, W. and Stoker, G. (2021), ‘The good politician and political trust: an authenticity gap in British politics?’, Political Studies 69(4): 858880.CrossRefGoogle Scholar
van Kessel, S., Sajuria, J. and van Hauwaert, S. (2021), ‘Informed, uninformed or misinformed? A cross-national analysis of populist party supporters across European democracies’, West European Politics 44(3): 585610.CrossRefGoogle Scholar
van Prooijen, J.-W. and Krouwel, A.P.M. (2019), ‘Psychological features of extreme political ideologies’, Current Directions in Psychological Science 28(2): 159163.CrossRefGoogle Scholar
Waisbord, S. and Amado, A. (2017), ‘Populist communication by digital means: presidential Twitter in Latin America’, Information, Communication & Society 20(9): 13301346.CrossRefGoogle Scholar
Westerwick, A., Johnson, B. and Knobloch-Westerwick, S. (2017), ‘Confirmation biases in selective exposure to political online information: Source bias vs. content bias’, Communication Monographs 84(3): 343364.CrossRefGoogle Scholar
Weyland, K. (1999), ‘Neoliberal populism in Latin America and Eastern Europe’, Comparative Politics 31(1): 122.CrossRefGoogle Scholar
White, A., Nathan, N. and Faller, J. (2015), ‘What do I need to vote? Burocratic discretion and discrimination by local election officials’, American Political Science Review 109(1): 129142.CrossRefGoogle Scholar
Figure 0

Figure 1. Issue positioning in the German party system.Source: Chapel Hill Expert Survey (2020).

Figure 1

Figure 2. Artificial citizen’s request sent out4.Note: Randomized parts are in bold.

Figure 2

Figure 3. Response rates, by party, in percent.Source: Own depiction.

Figure 3

Table 1 Logistic regression models: responsiveness

Figure 4

Figure 4. Misinformation toleration rate, by party, in percent.Source: Own depiction.

Figure 5

Table 2 Logistic regression models: toleration rate

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