Hostname: page-component-cd9895bd7-jn8rn Total loading time: 0 Render date: 2024-12-27T07:58:10.291Z Has data issue: false hasContentIssue false

The foreign language effect on motivational quotes

Published online by Cambridge University Press:  12 August 2022

Barbara Braida
Affiliation:
Cognition and Brain Plasticity Unit, Departament de Cognició, Desenvolupament i Psicologia de l'Educació, Institut de Neurociències, Universitat de Barcelona (UB), Barcelona, Spain; Grup de Recerca en Cognició i Llenguatge, Departament de Cognició, Desenvolupament i Psicologia de l'Educació, Institut de Neurociències, Universitat de Barcelona (UB), Barcelona, Spain
Javier Rodríguez-Ferreiro
Affiliation:
Grup de Recerca en Cognició i Llenguatge, Departament de Cognició, Desenvolupament i Psicologia de l'Educació, Institut de Neurociències, Universitat de Barcelona (UB), Barcelona, Spain
Mireia Hernández*
Affiliation:
Cognition and Brain Plasticity Unit, Departament de Cognició, Desenvolupament i Psicologia de l'Educació, Institut de Neurociències, Universitat de Barcelona (UB), Barcelona, Spain;
*
Address for correspondence: Mireia Hernández Departament de Cognició, Desenvolupament i Psicologia de l'Educació Universitat de Barcelona Passeig de la Vall d'Hebron, 171 08035 Barcelona, Spain mireiahernandez@ub.edu
Rights & Permissions [Opens in a new window]

Abstract

According to the “reduced emotionality hypothesis”, we are less emotionally driven when reasoning in a foreign language (FL) than in a native language (NL). We examined whether this foreign language effect (FLe) extends to the way we perceive motivational quotes (i.e., encouraging slogans conveying a profound and inspirational message): we expected FL participants to rate motivational quotes as less profound than NL participants. Strikingly, we observed the opposite: FL participants found motivational quotes more profound than NL participants, even after controlling for potential confounders (e.g., IQ, reasoning style). Both FL and NL participants gave similarly low profundity ratings to pseudo-profound bullshit sentences (i.e., meaningless sentences sounding profound), indicating that the message must be meaningful for the FLe to arise. We propose that, like space or time, language could promote psychological distance. This favours a focus on the background of a message to indicate profoundness.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

1. Introduction

Research has shown that foreign language (FL) use influences judgment and reasoning. This phenomenon, known as the “foreign language effect” (FLe), has been studied exhaustively in the context of moral decision-making and gambling (see Del Maschio, Crespi, Peressotti, Abutalebi & Sulpizio Reference Del Maschio, Crespi, Peressotti, Abutalebi and Sulpizio2022; and Circi, Gatti, Russo & Vecchi Reference Circi, Gatti, Russo and Vecchi2021), for meta-analyses evidencing the robustness of FLe in these contexts). Compared to the use of one's native language (NL), the use of an FL increases utilitarian behaviour when making moral decisions. A striking example is that using an FL has been shown to increase the probability that we will decide to kill an innocent person to save more lives (Corey, Hayakawa, Foucart, Aparici, Botella, Costa & Keysar, Reference Corey, Hayakawa, Foucart, Aparici, Botella, Costa and Keysar2017; Costa, Foucart, Hayakawa, Aparici, Apesteguia, Heafner & Keysar, Reference Costa, Foucart, Hayakawa, Aparici, Apesteguia, Heafner and Keysar2014b; Driver, Reference Driver2020; Geipel, Hadjichristidis & Surian, Reference Geipel, Hadjichristidis and Surian2015; Hayakawa, Tannenbaum, Costa, Corey & Keysar, Reference Hayakawa, Tannenbaum, Costa, Corey and Keysar2017). Another classic example is that FL use reduces risk aversion in betting situations (Costa, Foucart, Arnon, Aparici & Apesteguia, Reference Costa, Foucart, Arnon, Aparici and Apesteguia2014a; Keysar, Hayakawa & An, Reference Keysar, Hayakawa and An2012).

The origin of the FLe remains unclear. According to the “reduced emotionality hypothesis” (Costa et al., Reference Costa, Foucart, Arnon, Aparici and Apesteguia2014a; Keysar et al., Reference Keysar, Hayakawa and An2012), FL use lowers the intensity with which the emotional content of linguistic material is processed. Presumably, this occurs because the NL is linked to the emotions that arise when one experiences events early in life (Costa et al., Reference Costa, Foucart, Arnon, Aparici and Apesteguia2014a). This means that associated emotions are retrieved when linguistic expressions commonly used in similar situations are processed (at least to some extent). FL use is not burdened by these early links, and as such, does not retrieve the same emotional states. The implication of this view is that making a decision involving an affective component is less distressing in an FL than in an NL. This could explain why it is possible to make less emotionally driven decisions in contexts entailing an affective component when using an FL. Some authors, however, have raised the concern that a potential “cognitive load effect”, rather than reduced emotionality, is what may actually drive the FLe (Keysar et al., Reference Keysar, Hayakawa and An2012). This concern is based on the assumption that using an FL increases cognitive load because it is costlier to process and also on the observation that cognitive load promotes deliberative reasoning (Greene, Morelli, Lowenberg, Nystrom & Cohen, Reference Greene, Morelli, Lowenberg, Nystrom and Cohen2008). It follows from these two premises that FL use leads to more utilitarian and/or less intuitive decisions due to the cognitive load associated with processing linguistic material (e.g., choices will be less conditioned by moral guidelines or fear of loss) (Hayakawa et al., Reference Hayakawa, Tannenbaum, Costa, Corey and Keysar2017; Keysar et al., Reference Keysar, Hayakawa and An2012). However, this concern has been addressed in prior studies that showed no correlation between the dependent variable (e.g., utilitarian responses) and continuous measures of FL proficiency level (e.g., Circi et al., Reference Circi, Gatti, Russo and Vecchi2021; Corey et al., Reference Corey, Hayakawa, Foucart, Aparici, Botella, Costa and Keysar2017). Moreover, the fact that different studies have shown no FLe in different cognitive biases (e.g., the tendency to consider a decision as more appropriate if it has resulted in a good outcome) that do not involve emotionality also argues against the cognitive load concern (e.g., Vives, Aparici & Costa, Reference Vives, Aparici and Costa2018). This is because one would expect the higher deliberative reasoning promoted by an FL's higher cognitive load to reduce such cognitive biases.

Unfortunately, although the “reduced emotionality hypothesis” is widely accepted in the field, it is difficult to test it experimentally because its foundations remain vague. This has led to most authors in the field focusing on exploring the phenomenon itself (i.e., the situations in which the FLe arises). Nevertheless, this line of research is not exempt of challenges. A concern that researchers of the FLe phenomenon must face is that most situations used in its assessment lack ecological validity. For instance, many dilemmas involve extreme situations that one may never encounter (e.g., having to kill someone) or habits in which some do not engage (e.g., gambling). This raises the question of whether the FLe could be observed in more common circumstances that do not necessarily require a choice. Hadjichristidis, Geipel and Surian (Reference Hadjichristidis, Geipel and Surian2019) observed that the FLe is also present in a context that may drive everyday behaviour to a lesser or greater extent in the population: superstitious beliefs. They found that FL reduces the influence of superstitious beliefs on the (positive and negative) feelings prompted by imaginary actions (e.g., finding a four-leaf clover in the grass or seeing a falling star in the sky will be less associated with good luck in an FL scenario; walking under a ladder or breaking a mirror will cause less fear of bad luck in an FL context).

In this study, we aimed to contribute to identifying ecological situations in which the FLe takes place. To this end, we assessed whether the FLe reduces the influence of a phenomenon that is increasingly present in everyday situations: motivational quotes. These positive and encouraging slogans are ubiquitous in social media (Twitter, Facebook, Instagram) and many other social-professional contexts, including working environments, gyms, and language schools (e.g., “Your teacher can open the door, but you must enter by yourself”). Because motivational quotes prompt positive affect, they have been progressively integrated in clinical and educational settings, such as therapeutic programs, to promote positive thinking and self-esteem. For instance, they have been shown to increase confidence, motivation, and satisfaction in adults suffering anxiety, depression, or stress (Bedrov & Bulaj, Reference Bedrov and Bulaj2018), especially in treatments taking a positive psychology approach (Kour, El-Den & Sriratanaviriyakul, Reference Kour, El-Den and Sriratanaviriyakul2019). However, individual differences in sociocultural background or general intelligence seem to modulate the influence of motivational quotes (Pennycook, Cheyne, Barr, Koehler & Fugelsang, Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015). We believe that, among the possible variables modulating the effects of motivational quotes, language should be considered. These quotes are carefully worded to sound profound and create an affective impression that prompts behaviour according to the value transmitted by the quote. In other words, they are written to help individuals adopt relevant attitudes at a personal level (e.g., effort, resilience, perseveration). Interestingly, the multilingualism that characterizes current society means that many people frequently encounter these messages in a non-native language. From the perspective of the “reduced emotionality hypothesis”, the efficiency of a motivational quote may be reduced if it is presented in an FL rather than an NL because their affective essence is processed differently. Of note, motivational quotes are positive emotion-laden sentences, which contrasts with the fact that most previous FLe literature has used linguistic material that elicits negative affect (see Del Maschio et al.'s (Reference Del Maschio, Crespi, Peressotti, Abutalebi and Sulpizio2022) and Circi et al.'s (Reference Circi, Gatti, Russo and Vecchi2021) recent meta-analyses). However, in line with the results by Hadjichristidis et al. (Reference Hadjichristidis, Geipel and Surian2019) with positive superstitions, for which they found similar FLe compared to negative superstitions, we expect to find the above-mentioned reduction on the efficiency of motivational quotes.

Thus, given the results of most previous studies and the “reduced emotionality hypothesis”, the most straightforward prediction is that motivational quotes will be perceived as less profound if they are presented in an FL compared to an NL. As in prior literature investigating the receptivity of motivational quotes (e.g., Pennycook et al., Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015), we consider a quote profound when its meaning extends below the surface by having a broad significance that involves a transcendental value. Therefore, in the current study, we investigate whether FL use reduces the extent to which motivational quotes are perceived as profound or transcendental. To test this prediction, we asked participants to rate the profundity of ten motivational quotes using a Likert scale (“1 = not at all profound” to “5 = very profound”). Half of the participants performed the task in their NL and the other half in their FL. Confirmation of our hypothesis would follow if participants in the FL group rated motivational quotes as less profound than participants in the NL group.

A potential concern might be that FL participants could give lower profundity values to motivational quotes because of mild comprehension difficulties preventing them fully grasping the meaning of a quote. Therefore, we also introduced ten sentences considered “pseudo-profound bullshit”: that is, grammatically correct sentences that are void of content, but that are written to impress and that pretend to convey a positive, encouraging, and deeply transcendental message (e.g., “Hidden meaning transforms unparalleled abstract beauty”) (Bainbridge, Quinlan, Mar & Smillie, Reference Bainbridge, Quinlan, Mar and Smillie2019; Gligorić & Vilotijević, Reference Gligorić and Vilotijević2020; Pennycook et al., Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015). These pseudo-profound sentences can be considered a type of motivational quote that lacks a clear meaning, and for which the pomposity of their wording results in many individuals perceiving them as profound (Pennycook et al., Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015). In fact, they are commonly used in social media. For instance, Pennycook and Rand (Reference Pennycook and Rand2020) demonstrated that the inclination to share fake news on these media was positively associated with pseudo-profound bullshit receptivity (that is, the predisposition to attribute profundity to these sentences). We applied the same rationale as we did with the motivational quotes: FL users would be less impressed by the pomposity of the wordiness and, hence, less inclined to rate pseudo-profound bullshit sentences as profound compared to NL participants. However, the main reason for including these pseudo-profound bullshit sentences was to remove the underlying meaning and assess only the extent to which their wording was able to impress the participant. Hence, we presented the motivational quotes and pseudo-profound bullshit sentences randomly, with participants being unaware that they were rating motivational quotes and pseudo-profound bullshit sentences. Observing an FLe in both sentence types would reduce concern about mild comprehension difficulties. That is, in the case of pseudo-profound bullshit sentences, the potential comprehension difficulties of FL participants would not exert any detrimental effect on grasping the meaning compared to NL participants. This is because pseudo-profound bullshit sentences already have unclear significance, which means that neither NL nor FL participants will be able to grasp a clear meaning from them. Hence, the two types of participants are expected to give their profundity ratings to pseudo-profound bullshit sentences solely guided by their impressive wording. Therefore, the concern that the lower profundity ratings that the FL participants are expected to give to motivational quotes are driven by mild comprehension deficits would be reduced if the same participants also show reduced profundity ratings to the pseudo-profound bullshit sentences.

Of note, individual differences regarding receptivity to motivational quotes and pseudo-profound bullshit seem to exist. Pennycook et al. (Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015) observed that such receptivity tends to correlate negatively with general intelligence and deliberative reasoning. Therefore, we included additional questionnaires in our study to control for potential confounding by these two variables: Raven's Progressive Matrices and the Cognitive Reflection Test (CRT). Finally, FL users completed an English proficiency self-assessment questionnaire and an English lexical task. The lexical task was used to obtain an objective measure of estimated proficiency. We used this measure to control for the potential cognitive load effects associated to the presumable higher cognitive demands of processing linguistic material in an FL compared to an NL.

2. Materials and methods

2.1. Participants

In total, 115 female participants gave written consent to participate in exchange for course credits. The study was granted ethical approval by the Bioethical Committee of the University of Barcelona (Institutional Review Board 00003099). All participants lived and studied in Barcelona (Spain) at the time the study was conducted and were Catalan–Spanish bilinguals with a native level in both languages. Given that one of the two languages may be considered more dominant than the other (even if only slightly), the 57 participants in the NL group completed the study in Spanish or Catalan depending on their self-reported dominant language. Another 58 participants completed the study in English as an FL. There were no between-group differences in mean age (NL group = 20.63, SD = 3.7; FL group = 19.91, SD = 1.71; t = 1.34, p > .18) or educational attainment (all were undergraduates or masters’ students at the Faculty of Psychology of the University of Barcelona).

Participants in the FL group reported having started acquiring English through classroom instruction at around age 8 years. Most had a Common European Framework (CEF) English proficiency level of “upper intermediate” (CEF = B2) or “upper & lower advanced/proficient” (CEF = C1 & C2). We estimated this proficiency level through the Lexical Test for Advanced Learners of English, LexTALE (Lemhöfer & Broersma, Reference Lemhöfer and Broersma2012), which has consistently been found to correlate with CEF proficiency. Participants also completed a self-rated English proficiency questionnaire in which they used a 7-point Likert-type scale to assess competence in reading, writing, speaking, and comprehension (1 = low proficient, 7 = highly proficient). Congruent with the CEF levels estimated by LexTALE, the mean self-rating value in each language domain (including the understanding capacity for material written in English, “reading”) approximated lower-upper intermediate proficiency levels (see Table 1).

Table 1. Summary of the English use and proficiency by 58 FL users

*N = adds up to more than the total number of the subjects because some indicated more than one place of exposure. ** Other = academies, audiovisual media, job, social media, etc.

2.2. Material and procedure

All participants rated the motivational quotes and pseudo-profound bullshit sentences. These ratings were given by completing the Motivational and Pseudo-profound Bullshit Scale, which was presented at the beginning of the study. Next, participants completed the control tasks and questionnaires in the following order: LexTALE, CRT, Raven's Progressive Matrices, and the English proficiency self-assessment questionnaire. This protocol was created and presented via Qualtrics.

Motivational and Pseudo-profound Bullshit Scale

Participants were presented with ten motivational quotes and ten pseudo-profound bullshit sentences. The former comprised meaningful and encouraging statements (e.g., “The creative adult is the child who survived”), while the latter comprised combinations of vague buzzwords composing a valid syntactic structure that lacked any meaning (e.g., “Wholeness quiets infinite phenomena”). All sentences were taken from Pennycook et al. (Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015). These authors selected the motivational quotes from the internet. The pseudo-profound bullshit sentences were selected from two generator websites. One of these websites (http://wisdomofchopra.com) creates pseudo-profound bullshit sentences by randomly combining a list of words used in tweets by Deepak Chopra, which have been categorized as nonsensical by many (e.g., Shermer, Reference Shermer2010). The other website (The New Age Bullshit Generator, http://sebpearce.com/bullshit/) works in a similar way to the first one but uses a list of buzzwords compiled by its author (Seb Pearce). Pennycook et al. reported good internal consistency for both sub-scales (motivational quotes and pseudo-profound bullshit). In addition, the fact that the mean ratings for the pseudo-profound bullshit sub-scale were lower than those for the motivational sub-scale was taken as a measure of the scale's sensitivity. This is because the fact that pseudo-profound bullshit sentences are void of content necessarily implies a lower perception of profundity compared to sentences with an actual underlying meaning (i.e., motivational quotes). Participants were asked to rate the profundity of the sentences on 5-point Likert scales (1 = not at all profound at all, 5 = very profound). We used the same instructions as those reported by Pennycook et al. (Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015):

“We are interested in how people experience the profound. Below are a series of statements taken from relevant websites. Please read each statement and take a moment to think about what it might mean. Then please rate how ‘profound’ you think it is. Profound means ‘of deep meaning; of great and broadly inclusive significance’.”

All 20 sentences appeared at once and remained visible on the same screen until the scale was completed, with the two sentence types intermixed in random orders that differed among participants (a full list of items for the Motivational and Pseudo-profound Bullshit Scale can be found in Appendix A). We used the mean profundity rating given by each participant to each type of question: the motivational quote receptivity (MQR) score was used to measure receptivity to motivational quotes, and the bullshit receptivity (BSR) score was used to measure receptivity to pseudo-profound bullshit.

Cognitive Reflection Test

We used the multiple-choice version of this task (Sirota & Juanchich, Reference Sirota and Juanchich2018) to assess the reasoning style of participants (intuitive vs. deliberative). This tested the ability of a participant to suppress a prepotent (but incorrect) intuitive response and engage in cognitive reflection to resolve a set of mathematical word problems (seven questions in this study). Participants had to choose between four options (Frederick, Reference Frederick2005; Sirota & Juanchich, Reference Sirota and Juanchich2018): the correct answer (1 point each, giving a “CRT-reflective score”), the incorrect intuitive answer (one point each, giving a “CRT-intuitive score”), as well as two other incorrect answers (Frederick, Reference Frederick2005; Pennycook, Cheyne, Koehler & Fugelsang, Reference Pennycook, Cheyne, Koehler and Fugelsang2016; Shenhav, Rand & Greene, Reference Shenhav, Rand and Greene2012; Sirota & Juanchich, Reference Sirota and Juanchich2018). As we sought a measure of the reasoning style that was not influenced by a potential FLe, all participants (including those in the FL group) completed the CRT test in their NL. The two groups did not differ in either the CRT-intuitive score (NL mean = 3.07, SD = 1.68; FL mean = 3.26, SD = 1.76; p = .56) or in the CRT-reflexive score (NL mean = 2.46, SD = 1.98; FL mean = 2.57, SD = 1.78; p = .75). This indicates that the two groups were equivalent in their reasoning style.

Raven's Progressive Matrices

We assessed general intelligence by means of the Superior Scale I of Raven's Advanced Progressive Matrices. The task comprised 12 items with a picture lacking a missing piece. Participants needed to indicate which of the eight pieces arranged next to the picture completed it correctly within 10 minutes (participants were informed that the test would close after this time had passed). To avoid a potential FLe in this task, all participants were given the instructions in their NL, including those in the FL group. The total number of correct responses was taken as a measure of general intelligence (Raven score). The mean Raven score was similar in the two groups (NL group = 9.81, SD = 1.61; FL group = 9.17, SD = 2.2; p = .08).

English Proficiency and Use Questionnaire

FL participants self-reported information about English acquisition (context and age when started), percentage use across lifespan (i.e., 0–3 years, 3–6 years, 6–12 years, 12–18 years, 18 years to present), and context of use (e.g., friends, classes, watching television, or watching movies on platforms like Netflix). A summary of the bilingual profile of the FL group is presented in Table 1.

3. Results

3.1 Data analyses

Data analyses were carried out using mixed-effect models. The dependent variable was the participants’ ratings for different items on the MQR-BSR scale. Given that the NL and FL groups did not differ in age, Raven score, CRT-intuitive score, or CRT-reflexive score, we did not include any of these variables in the analyses. Following recent recommendations to interpret significance in mixed-effect models (Luke, Reference Luke2017), we applied the Satterthwaite approximation for degrees of freedom (Satterthwaite, Reference Satterthwaite1941) and used maximum likelihood (REML) to fit the models. In addition, we used deviation coding for categorical predictor variables (i.e., scale and group) to enable interpretation of their main effects and interactions. That is, the two levels of the predictor variables were coded as -0.5 and 0.5 (instead of 0 and 1, which is what is used in dummy coding). This means that no level of a predictor factor was taken as a baseline with which to compare the other level (otherwise, coefficients would represent simple effects rather than main effects). Instead, the deviation coding (-0.5, 0.5) meant the intercept represented the grand mean (across the two levels of a factor), enabling us to interpret the coefficients of the models as main effects and interactions. All models had the maximal random effect structure justified by the data (Barr, Levy, Scheepers & Tily, Reference Barr, Levy, Scheepers and Tily2013), and the analyses were conducted with the lmerTest package R package (version 3.4.1; R core team, 2018).

3.2 Foreign language effect in motivational quotes

We evaluated whether FL use has an effect on motivational ratings, using a model with statement type (MQR vs. BSR), language group (NL vs. FL), and the interaction between these variables as experimental predictors. Besides participant and item, the by-participant random slope for the interaction between type of statement and language group were included in the random effects structure. The results showed a main effect for statement type (t = 4.25, p = .0002), indicating that overall ratings of the BSR statements were lower (mean = 2.68, SD = 0.74) than those of the MQR statements (mean = 3.4, SD = 0.68). This observation replicates the results of Pennycook et al. (Reference Pennycook, Cheyne, Barr, Koehler and Fugelsang2015) because, as expected, participants found meaningless statements (BSR) to be less profound than meaningful statements (the MQR ones). The main effect of language group did not reach significance (t = 1.85, p > 0.07). Importantly, the two-way interaction was significant between statement type and language group (t = 2.38, p = .019), suggesting that language exerts a differential influence in the ratings to MQR or BSR. Profoundness ratings in response to MQR were higher when sentences were presented in the FL (mean = 3.59, SD = 0.6) compared to the NL (mean = 3.21, SD = 0.71; t = 3.14, p = .002), whereas no differences appeared with respect to BSR items (FL mean = 2.67, SD = 0.69; NL mean = 2.65, SD = 0.8; t < 1) (Figure 1).

Fig. 1. Boxplots showing the overall profundity ratings for motivational quotes (A) and pseudo-profound bullshit sentences (B) by language group (NL vs. FL). Cross-marks indicate the mean values. NL group = native language group, FL group = foreign language group.

The main finding of this study is that FL use by participants was associated with rating motivational quotes as more profound when compared to NL use. By contrast, the profoundness ratings to pseudo-profound bullshit were unaffected by language (NL or FL). This raises the question of whether these results were driven by participants in the NL group rating meaningful sentences (motivational quotes) in the same way as meaningless statements (pseudo-profound bullshit). If this were the case, then the language effects would not be genuine – but, rather, by-products of methodological confounding. To exclude this possibility, we ran two complementary models.

The first complementary model sought to rule out that participants in the NL group rated the profundity of pseudo-profound bullshit and motivational quotes similarly. Hence, the dependent variable included the ratings that NL participants gave to all MQR-BSR scale items, with statement type of (MQR vs. BSR) included as the only experimental predictor. The random effect structure included participant, item, and the by-participant random slope for statement type. The main effect of statement type (t = 2.39, p = .023) confirmed that NL participants rated pseudo-profound bullshit significantly less profoundly (mean = 2.69, SD = 0.78) than motivational quotes (mean = 3.21, SD = 0.71), excluding the possibility that the FLe on motivational quotes in the main analyses could be explained merely by NL participants treating motivational quotes the same as pseudo-profound bullshit (i.e., void of content).

The second complementary model sought to evidence whether the FL group also showed differential ratings between the pseudo-profound bullshit and the motivational quotes. Therefore, this matched the previous model, with two exceptions. First, we only considered participant ratings from the FL group. Second, we included the LexTALE score as a control predictor and its interaction with the experimental predictor (statement type) to examine if FL proficiency affected the profundity ratings. As expected, there was a main effect of statement type (t = 5.49, p =.0001), reflecting that FL use was associated with participants rating pseudo-profound bullshit (mean = 2.67, SD = 0.69) significantly less profoundly than motivational quotes (mean = 3.59, SD = 0.6). There was no main effect or interaction involving the LexTALE score (ts < 1). The lack of interaction between the LexTALE score and statement type is particularly relevant because it limits the risk that the high profundity ratings by FL participants to motivational quotes (compared to NL participants) were driven by mild comprehension difficulties and/or cognitive load effects.

Comprehension issues could also have resulted in motivational quotes being rated more profoundly by FL users. The lack of between-group differences in profundity ratings to pseudo-profound bullshit excludes the potential that FL use led to sentences that were not fully understood being interpreted as more (or less) profound. It is therefore unlikely that FL users gave higher profundity ratings to motivational quotes because they did not fully grasp their meaning. One could still argue that slight comprehension difficulties may reflect the higher profundity ratings based on the possibility that FL users did not completely understand all words in the motivational quotes. As observed by Montero-Melis, Isaksson, van Paridon and Ostarek (Reference Montero-Melis, Isaksson, van Paridon and Ostarek2020), these mild comprehension difficulties would not prevent them grasping the general meaning of the quote, but the mental representation may be more abstract, which in turn, might promote a greater sense of profundity. However, as argued elsewhere (see also Douven, Reference Douven2018), we would expect FL users merely to show a bias toward the middle of the Likert scale if this were the case. That is, we would not expect these slight comprehension difficulties to lead FL users to differ from NL speakers in their interpretation of motivational quotes that are generally rated with extreme profundity rating (not at all profound, or very profound) – which is where in fact these existed, thereby excluding this as a potential concern. Indeed, a visual inspection (see Figure 2) reveals that low profundity ratings (1 and 2) tended to be given by NL participants, while high profundity ratings (4 and 5) were more frequent in the FL group, and the two groups overlapped for the middle value (3).

Fig. 2. Histogram showing the distribution of the profundity ratings given to the motivational quotes by participants in the FL group and the NL group, as well as the degree of overlay between the ratings of the two groups; Profundity ratings: 1 = not at all profound, 5 = very profound.

4. Discussion

The aim of this study was to contribute to the field of FLe by examining whether this phenomenon arises during the processing of a particular type of linguistic material, motivational quotes, which are of ecological relevance due to its increasing presence in everyday situations. With this aim in mind, we investigated whether language influences how profound or transcendental we find motivational quotes, hypothesizing that participants would rate motivational quotes presented in an FL as less profound than those presented in an NL. Given the positive affective content of motivational quotes, this prediction seemed consistent with the “reduced emotionality hypothesis”, which argues that the FLe reduces emotionality because the link between affective states and linguistic expressions is weaker (or even absent) when using an FL. However, our prediction was not confirmed. First, the FLe was observed in the opposite direction, with FL rather than NL use associated with participants rating motivational quotes more profoundly. This effect could not be attributed to the potential influence of general intelligence (measured by the Raven Progressive Matrices), reasoning style (measured by the CRT), or the proficiency level of FL participants (measured by the LexTALE).

We included pseudo-profound bullshit sentences and made the same prediction that FL use would reduce the emotional impression and lead to them being rated as less profound (compared to an NL). However, FL did not influence the profundity ratings for pseudo-profound bullshit. As mentioned in the Introduction, the rationale for incorporating pseudo-profound bullshit sentences was to control for the possibility of comprehension difficulties. However, in this unexpected scenario, where the FLe for motivational quotes went in the opposite direction than expected, the lack of an FLe for pseudo-profound bullshit is still informative. It reveals that the FLe observed in motivational quotes does not arise with any linguistic material formulated to impress the reader. Instead, it seems that the underlying message of the linguistic material must be meaningful for the FLe to arise.

To our knowledge, no prior study has observed reverse FLe (but see below Geipel, Hadjichristidis & Surian, Reference Geipel, Hadjichristidis and Surian2016). One difference between our study and most previous ones is that the material we used prompted positive rather than negative affects, like those one may experience when facing imaginary losses in terms of lives or money. In addition, studies using the framing effect have shown that an FL reduces loss aversion in terms of economic (e.g., Keysar et al., Reference Keysar, Hayakawa and An2012) and social decision-making (e.g., Liu, Wang, Timmer & Jiao, Reference Liu, Wang, Timmer and Jiao2022) strengthening the idea that it lowers emotional reactions that are particularly negative. Since the FLe has not been widely explored in contexts of positive affect, one may wonder whether it could be affected by affective valence. In fact, some studies seem to indicate that positive and negative emotion-laden linguistic material may not be processed in the same way, at least at lexical-semantic level. For example, it has been shown that (with respect to neutral words) positive emotion-laden words speed up lexical processing whereas negative emotion-laden words delay it (e.g., Rodríguez-Ferreiro & Davies, Reference Rodríguez-Ferreiro and Davies2019). One may wonder whether this difference could somehow influence the FLe. However, this does not seem to be the case. For example, with a written lexical decision task, Conrad, Recio and Jacobs (Reference Conrad, Recio and Jacobs2011) observed the typical faster response latencies for positive-laden words and slower response latencies for negative words (relative to neutral words). Importantly, both effects (the facilitation of positive words and the interference of negative words) were reduced in an FL compared to a NL: that is, an FL reduces the processing of affect at lexical-semantic level regardless of the direction of the effect (facilitatory or interfering). In addition, the results of an earlier study (where both positive and negative linguistic material was used to investigate the FLe) go in the same direction (Hadjichristidis et al., Reference Hadjichristidis, Geipel and Surian2019). These authors found that an FL reduces the receptivity to positive and negative superstitions to the same extent (prompting the feeling of good and bad luck respectively). However, the results of another study by the same authors (Geipel et al., Reference Geipel, Hadjichristidis and Surian2016) suggest that the modulation of FLe by affective valence is complex and needs further investigation. In the specific case of their study, participants’ assessment of different factors characterizing a given situation may have interacted with affective valence. This was reflected by the FL increasing moral goodness judgements (i.e., FLe in the reverse direction) of actions carried out with negative intentions but ending up with positive outcomes (e.g., a company running a charity campaign for good publicity that boosted its profits), whereas the FL reduced such judgments (i.e., FLe in the typical direction) if the intentions were positive but the outcomes negative (e.g., giving money to a poor boy who used it to buy drugs and died of an overdose).

The fact that the reverse FLe observed in the present study is difficult to accommodate by the “reduced emotionality hypothesis” casts doubts about its capacity to explain the general nature of the FLe. In this regard, a hypothesis regarding the FLe that we had not considered during the study design concerns the possible influence of “psychological distance”. In what follows, we briefly describe psychological distance and develop a tentative proposal about how it may explain the FLe, accounting for our result as well as those reported in prior studies. Given that proposing psychological distance as a potential driving force of FLe is a tentative hypothesis, it needs to be taken with caution. This is proposed here just as a potential line of future research that may serve to expand the rather vague knowledge we currently have about the origin of the FLe.

Psychological distance as a potential driving force of the FLe?

According to Liberman, Trope and Stephan (Reference Liberman, Trope, Stephan, Kruglanski and Higgins2007), one effect of psychological distancing is to construe the mental representation of an event more abstractly (as opposed to more detailed or concrete). Several factors can modulate the degree of abstraction of mental representations (e.g., time or space). Using time to illustrate our point, the more distant an event is perceived in time (either past or future), the more abstract its mental representation. Critical to this is that it has been consistently and robustly demonstrated that a high degree of abstraction entails focusing more on the goal or purpose of an action rather than the details of executing that action (Liberman & Trope, Reference Liberman and Trope1998; Sagristano, Trope & Liberman, Reference Sagristano, Trope and Liberman2002). For example, imagine that a person holds environmental preservation among their values. At one point they may be presented with the possibility of taking an action, such as joining a beach cleaning expedition early in the morning, before the bathers arrive. If the individual is then asked to indicate how likely it is that they will join the expedition, the proximity in time will be relevant. On the one hand, if the event is considered close in time (e.g., two days ahead), the individual will construct a concrete mental representation that includes details about the effort and its inconveniences (e.g., getting up very early and then getting tired and dirty). A response may be more realistic when indicating the probability of joining an activity in the near future, when concrete mental representation highlights factors that can put them off the activity place value systems in conflict with stated behavioural intentions. On the other hand, if the situation is formulated at a more distant time (e.g., within two months), the individual may construct an abstract mental representation in which specific details are not considered (e.g., the effort entailed). Rather, the value placed on the act (preserving the environment) may prevail. In the case of some imagined activity planned in the distant future, the individual's value system rather than the viability concerns may best predict the probability of engagement in the activity. We propose that FL use may also contribute to psychological distancing in a similar way to time distancing – that is, by leading to more abstract mental representations of a situation. This means that, compared to an NL, an FL leads to greater consideration of the value associated with an action and to less concern with the detail of carrying out the action. We believe that the results obtained with the motivational quotes could represent a first clue in favour of this proposition. These phrases could be considered more profound or transcendent in an FL because an abstract mental representation of their meaning has been constructed, leading to a focus on the value conveyed by the quote. However, those motivational quotes may not have been considered as profound in the NL because their message is interpreted more concretely, leading to individuals examining what it would entail to behave in line with the values underpinning the quote.

Of note, the “psychological distance hypothesis” tentatively proposed above predicts the same effect as the “reduced emotionality hypothesis” in many situations, such as in contexts of moral decision-making and gambling: both hypotheses predict more utilitarian behaviour and risky choices in an FL. What distinguishes the two hypotheses is how they explain these effects. According to the “psychological distance hypothesis”, it is a rather abstract construction of the situation that reduces the concern with the detail of carrying out an action (e.g., killing a man, betting a large amount of money). This is because the abstract construction of the situation will lead us to focus more on the objective (e.g., saving as many people as possible, winning money) than on how it may be achieved (e.g., killing an innocent person, putting our money at risk). According to the “reduced emotionality hypothesis”, the reduction of this concern is due to the FL system being unlinked from emotions. The fact that the two hypotheses predict the same in most affective situations makes them difficult to disentangle. In fact, both of them are based on the same assumption: the fact that a FL is not used when one experiences events early in life. This only has an impact on the link between the FL and the emotions, according to the “reduced emotionality hypothesis”. In contrast, the “psychological distance hypothesis” assumes that all sorts of concrete details (including but not restricted to emotions) will be affected, which is the reason why mental representations would be rather abstract when based on FL linguistic material. If the “psychological distance hypothesis” is true, then, we should be able to describe any imaginary situation (including those with no affective connotations) in less detail in an FL than in an NL. Moreover, this reduced richness of details should correlate with FLe measures. This could be an avenue to explore in future studies.

In short, the present study has contributed to the FLe literature by identifying motivational quotes as a new source of this effect. Beyond the underlying causes of the FLe, the identification of new contexts where it originates has been a growing line of research in the field. Information gathered in this area has a potential practical application at socio-economic and political levels, among others. For instance, the fact of using one or another language in speeches delivered to audiences that need to make decisions (e.g., voting, investing their money, supporting social policies, etc.) may be determinant. In the particular case of motivational quotes, the results of our study suggest that presenting them in a foreign language promotes their effect, which could roughly be summarized as the promotion of positive thinking. This feature could benefit different sorts of therapeutic programs, including positive psychology treatments for anxiety or depression.

However, two specific limitations of the present study call for caution when generalizing the results to the general population. The first limitation is the fact that our sample was exclusively composed of women. It is unknown whether gender influences the receptivity of motivational quotes; it is possible that it depends on the specific value underpinning the quote, responding to current gender stereotypes. For instance, it has been shown that women tend to characterize themselves as less assertive and less competent in leadership (e.g., Hentschel, Heilman & Peus, Reference Hentschel, Heilman and Peus2019). Therefore, they could obtain more benefit from motivational quotes with values that promote the development of a confident, forceful attitude. This entails that an FL might have more or less room to exert its beneficial effect depending on gender and the type of quote. Beyond any baseline differences between genders in personality traits and social behaviour that may constrain the magnitude of FLe, it is also possible that gender has a direct impact on the individuals’ propensity to experience FLe. For example, Gargalianou, Urbig and Van Witteloostuijn (Reference Gargalianou, Urbig and Van Witteloostuijn2017) observed no differences between men and women in social dilemmas presented in their NL. However, in the FL condition, women behaved more cooperatively than men, suggesting that women experienced less FLe. However, this issue remains unclear, since prior studies have found no interaction between gender and language in moral decision-making tasks (e.g., Białek, Paruzel-Czachura & Gawronski, Reference Białek, Paruzel-Czachura and Gawronski2019; Hayakawa et al., Reference Hayakawa, Tannenbaum, Costa, Corey and Keysar2017).

The second limitation concerns the use of a between-subject rather than a within-subject design. Most studies in the field use a between-subject design (e.g., Corey et al., Reference Corey, Hayakawa, Foucart, Aparici, Botella, Costa and Keysar2017; Costa et al., Reference Costa, Foucart, Arnon, Aparici and Apesteguia2014a, Reference Costa, Foucart, Hayakawa, Aparici, Apesteguia, Heafner and Keysar2014b; Keysar et al., Reference Keysar, Hayakawa and An2012). This has been common practice in order to exclude the concern that the first language (NL or FL) used sets the specific mindset that will be applied throughout the entire task (more or less utilitarian), even if the two languages are used in two separate sessions. However, this precaution means that it cannot be known whether the NL and FL groups of participants may be unbalanced in unknown individual differences.

An a posteriori and secondary contribution of the present study has been the proposal of a tentative hypothesis regarding the origin of FLe. Psychological distance, rather than reduced emotionality, seems to be able to accommodate the reverse FLe observed in our results. This suggests that there is scope to focus research on psychological distance.

5. Conclusions

We provide the first evidence that an FL affects people's receptivity to motivational quotes: they are rated as more profound when presented in an FL than when presented in an NL. The surprising direction of this FLe cannot be accommodated by the “reduced emotionality hypothesis”, which has been widely used to account for the FLe. This finding highlights that more research is needed to understand the origin of the FLe. We tentatively propose that FL use creates psychological distance, similar to the influence of space or time. Compared to NL use, FL use may promote a focus on the underlying message; consequently, motivational quotes may tend to be evaluated as more profound or transcendental in an FL. In any case, along with one previous study (Geipel et al., Reference Geipel, Hadjichristidis and Surian2016), our results may represent early evidence that the FLe may reverse in certain circumstances. Further research is needed to understand when and why.

Acknowledgments

MH was supported by the Ramón y Cajal Research Program of the Spanish Ministry of Science and Innovation (RYC-2016-19477). JRF was supported by grant PID2019-106102GB-I00, funded by MCINN / AEI / 10.13039/501100011033, and grant 2017SGR387 (AGAUR).

Competing interests

The authors declare no conflict of interest.

Data Availability Statement

The datasets generated during the current study are available from the corresponding author on reasonable request.

Appendix A: MOTIVATIONAL AND PSEUDO-PROFOUND BULLSHIT SCALE

MOTIVATIONAL QUOTATION SCALE (MQS)

  1. 1. Your teacher can open the door, but you must enter by yourself.

    Tu profesor puede abrir la puerta, pero debes entrar tú solo.

  2. 2. The creative adult is the child who survived.

    El adulto creativo es el niño que sobrevivió.

  3. 3. A river cuts through a rock, not because of its power but its persistence.

    Un río atraviesa una roca, no por su poder sino por su persistencia.

  4. 4. All endings are also beginnings. We just don't know it at the time.

    Todos los finales también son comienzos. Simplemente no lo sabemos en ese momento.

  5. 5. Art and love are the same thing: It's the process of seeing yourself in things that are not you.

    Arte y amor son lo mismo: es el proceso de verte a ti mismo en cosas que no son tú.

  6. 6. At the centre of your being you have the answer; you know who you are and you know what you want.

    En el centro de tu ser tienes la respuesta; sabes quién eres y sabes lo que quieres.

  7. 7. A wet person does not fear the rain.

    Una persona mojada no teme a la lluvia.

  8. 8. Forgiveness means letting go of the hope for a better past.

    Perdonar significa dejar ir la esperanza por un pasado mejor.

  9. 9. Only those who will risk going too far can possibly find out how far one can go.

    Solo aquellos que se arriesgan a ir demasiado lejos pueden descubrir hasta dónde se puede llegar.

  10. 10. I wonder how many people I've looked at all my life and never seen.

    Me pregunto a cuántas personas he mirado toda mi vida y nunca he visto.

BULLSHIT RECEPTIVITY SCALE (BRS)

  1. 11. Hidden meaning transforms unparalleled abstract beauty.

    El significado oculto transforma una belleza abstracta incomparable.

  2. 12. Good health imparts reality to subtle creativity.

    La buena salud imparte realidad a la creatividad sutil.

  3. 13. Wholeness quiets infinite phenomena.

    La totalidad calma los fenómenos infinitos.

  4. 14. The future explains irrational facts.

    El futuro explica hechos irracionales.

  5. 15. Imagination is inside exponential space time-events.

    La imaginación está dentro de los eventos exponenciales del espacio-tiempo.

  6. 16. We are in the midst of a self-aware blossoming of being that will align us with the nexus itself.

    Estamos en medio de un florecimiento autoconsciente del ser que nos alineará con el nexo mismo.

  7. 17. Consciousness consists of frequencies of quantum energy. “Quantum” means an unveiling of the unrestricted.

    La conciencia consiste en frecuencias de energía cuántica. Lo “cuántico” implica una revelación de lo irrestricto.

  8. 18. Consciousness is the growth of coherence, and of us.

    La conciencia es el crecimiento de la coherencia, y de nosotros.

  9. 19. We are in the midst of a high-frequency blossoming of interconnectedness that will give us access to the quantum soup itself.

    Estamos en medio de un florecimiento de interconexión de alta frecuencia que nos dará acceso a la sopa cuántica en sí misma.

  10. 20. Today, science tells us that the essence of nature is joy.

    Hoy, la ciencia nos dice que la esencia de la naturaleza es la alegría.

References

Bainbridge, TF, Quinlan, JA, Mar, RA and Smillie, LD (2019) Openness/Intellect and Susceptibility to Pseudo-Profound Bullshit: A Replication and Extension. European Journal of Personality 33(1), 7288. https://doi.org/10.1002/per.2176CrossRefGoogle Scholar
Barr, DJ, Levy, R, Scheepers, C and Tily, HJ (2013) Random effects structure for confirmatory hypothesis testing: Keep it maximal. Journal of Memory and Language 68(3), 255278. https://doi.org/10.1016/j.jml.2012.11.001CrossRefGoogle ScholarPubMed
Bedrov, A and Bulaj, G (2018) Improving self-esteem with motivational quotes: Opportunities for digital health technologies for people with chronic disorders. In Frontiers in Psychology 9, 2126. https://doi.org/10.3389/fpsyg.2018.02126CrossRefGoogle ScholarPubMed
Białek, M, Paruzel-Czachura, M and Gawronski, B (2019) Foreign language effects on moral dilemma judgments: An analysis using the CNI model. Journal of Experimental Social Psychology 85, 103855. https://doi-org.sire.ub.edu/10.1016/j.jesp.2019.103855CrossRefGoogle Scholar
Circi, R, Gatti, D, Russo, V and Vecchi, T (2021) The foreign language effect on decision-making: A meta-analysis. Psychonomic Bulletin & Review 28(4), 11311141. https://doi.org/10.3758/s13423-020-01871-zCrossRefGoogle ScholarPubMed
Conrad, M, Recio, G and Jacobs, AM (2011) The Time Course of Emotion Effects in First and Second Language Processing: A Cross Cultural ERP Study with German-Spanish Bilinguals. Frontiers in psychology 2, 351, 116. https://doi.org/10.3389/fpsyg.2011.00351CrossRefGoogle ScholarPubMed
Corey, JD, Hayakawa, S, Foucart, A, Aparici, M, Botella, J, Costa, A and Keysar, B (2017) Our moral choices are foreign to us. Journal of Experimental Psychology: Learning Memory and Cognition 43(7), 11091128. https://doi.org/10.1037/xlm0000356Google ScholarPubMed
Costa, A, Foucart, A, Arnon, I, Aparici, M and Apesteguia, J (2014a) “Piensa” twice: On the foreign language effect in decision making. Cognition 130(2), 236254. https://doi.org/10.1016/j.cognition.2013.11.010CrossRefGoogle ScholarPubMed
Costa, A, Foucart, A, Hayakawa, S, Aparici, M, Apesteguia, J, Heafner, J and Keysar, B (2014b) Your morals depend on language. PLoS ONE 9(4), e94842. https://doi.org/10.1371/journal.pone.0094842CrossRefGoogle ScholarPubMed
Del Maschio, N, Crespi, F, Peressotti, F, Abutalebi, J and Sulpizio, S (2022) Decision-making depends on language: A meta-analysis of the Foreign Language Effect. Bilingualism: Language and Cognition, 1-14. https://doi.org/10.1017/S1366728921001012Google Scholar
Douven, I (2018) A Bayesian perspective on Likert scales and central tendency. Psychonomic Bulletin and Review 25(3), 12031211. https://doi.org/10.3758/s13423-017-1344-2CrossRefGoogle ScholarPubMed
Driver, MY (2020) Switching codes and shifting morals: how code-switching and emotion affect moral judgment. International Journal of Bilingual Education and Bilingualism, 117. https://doi.org/10.1080/13670050.2020.1730763Google Scholar
Frederick, S (2005) Cognitive reflection and decision making. In Journal of Economic Perspectives 19(4), 2542. https://doi.org/10.1257/089533005775196732CrossRefGoogle Scholar
Gargalianou, V, Urbig, D and Van Witteloostuijn, A (2017) Cooperating or competing in three languages: cultural accommodation or alienation?. Cross Cultural & Strategic Management 24(1), 167191. https://doi.org/10.1108/CCSM-01-2016-0008CrossRefGoogle Scholar
Geipel, J, Hadjichristidis, C and Surian, L (2015) The foreign language effect on moral judgment: The role of emotions and norms. PLoS ONE 10(7), e0131529. https://doi.org/10.1371/journal.pone.0131529CrossRefGoogle ScholarPubMed
Geipel, J, Hadjichristidis, C and Surian, L (2016) Foreign language affects the contribution of intentions and outcomes to moral judgment. Cognition 154, 3439. http://dx.doi.org/10.1016/j.cognition.2016.05.010CrossRefGoogle ScholarPubMed
Gligorić, V and Vilotijević, A (2020) “Who said it?” How contextual information influences perceived profundity of meaningful quotes and pseudo-profound bullshit. Applied Cognitive Psychology 34(2), 535542. https://doi.org/10.1002/acp.3626CrossRefGoogle Scholar
Greene, JD, Morelli, SA, Lowenberg, K, Nystrom, LE and Cohen, JD (2008) Cognitive load selectively interferes with utilitarian moral judgment. Cognition 107(3), 11441154. https://doi.org/10.1016/j.cognition.2007.11.004CrossRefGoogle ScholarPubMed
Hadjichristidis, C, Geipel, J and Surian, L (2019) Breaking magic: Foreign language suppresses superstition. Quarterly Journal of Experimental Psychology 72(1), 1828. https://doi.org/10.1080/17470218.2017.1371780CrossRefGoogle ScholarPubMed
Hayakawa, S, Tannenbaum, D, Costa, A, Corey, JD and Keysar, B (2017) Thinking More or Feeling Less? Explaining the Foreign-Language Effect on Moral Judgment. Psychological Science 28(10), 13871397. https://doi.org/10.1177/0956797617720944CrossRefGoogle ScholarPubMed
Hentschel, T, Heilman, ME and Peus, CV (2019) The multiple dimensions of gender stereotypes: A current look at men's and women's characterizations of others and themselves. Frontiers in psychology 10, 11. https://doi.org/10.3389/fpsyg.2019.00011CrossRefGoogle Scholar
Keysar, B, Hayakawa, SL and An, SG (2012) The Foreign-Language Effect: Thinking in a Foreign Tongue Reduces Decision Biases. Psychological Science 23(6), 661668. https://doi.org/10.1177/0956797611432178CrossRefGoogle Scholar
Kour, J, El-Den, J and Sriratanaviriyakul, N (2019) The role of positive psychology in improving employees’ performance and organizational productivity: An experimental study. Procedia Computer Science 161, 226232. https://doi.org/10.1016/j.procs.2019.11.118CrossRefGoogle Scholar
Lemhöfer, K and Broersma, M (2012) Introducing LexTALE: A quick and valid Lexical Test for Advanced Learners of English. Behavior Research Methods 44(2), 325343. https://doi.org/10.3758/s13428-011-0146-0CrossRefGoogle ScholarPubMed
Liberman, N and Trope, Y (1998) The Role of Feasibility and Desirability Considerations in Near and Distant Future Decisions: A Test of Temporal Construal Theory. Journal of Personality and Social Psychology 75(1), 518. https://doi.org/10.1037/0022-3514.75.1.5CrossRefGoogle Scholar
Liberman, N, Trope, Y and Stephan, E (2007) Psychological distance. In Kruglanski, AW and Higgins, ET (eds), Social psychology: Handbook of basic principles. Guilford Press, pp. 353381.Google Scholar
Liu, C, Wang, H, Timmer, K and Jiao, L (2022) The foreign language effect on altruistic decision making: Insights from the framing effect. Bilingualism: Language and Cognition 19. https://doi.org/10.1017/S1366728922000128CrossRefGoogle Scholar
Luke, SG (2017) Evaluating significance in linear mixed-effects models in R. Behavior Research Methods 49(4), 14941502. https://doi.org/10.3758/s13428-016-0809-yCrossRefGoogle ScholarPubMed
Montero-Melis, G, Isaksson, P, van Paridon, J and Ostarek, M (2020) Does using a foreign language reduce mental imagery? In Cognition 196, 104134. https://doi.org/10.1016/j.cognition.2019.104134CrossRefGoogle ScholarPubMed
Pennycook, G, Cheyne, JA, Barr, N, Koehler, DJ and Fugelsang, JA (2015) On the reception and detection of pseudo-profound bullshit. Judgment and Decision Making 10(6), 549563. https://doi.org/10.5281/zenodo.1067051CrossRefGoogle Scholar
Pennycook, G, Cheyne, JA, Koehler, DJ and Fugelsang, JA (2016) Is the cognitive reflection test a measure of both reflection and intuition? Behavior Research Methods 48(1), 341348. https://doi.org/10.3758/s13428-015-0576-1CrossRefGoogle Scholar
Pennycook, G and Rand, DG (2020) Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. Journal of Personality 88(2), 185200. https://doi.org/10.1111/jopy.12476CrossRefGoogle ScholarPubMed
R core team (2018) R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing, Vienna, Austria. URL http://www.R-Project.org.Google Scholar
Rodríguez-Ferreiro, J and Davies, R (2019) The graded effect of valence on word recognition in Spanish. Journal of Experimental Psychology: Learning, Memory, and Cognition 45(5), 851868. https://doi.org/10.1037/xlm0000616Google ScholarPubMed
Sagristano, MD, Trope, Y and Liberman, N (2002) Time-dependent gambling: Odds now, money later. Journal of Experimental Psychology: General 131(3), 364376. https://doi.org/10.1037//0096-3445.131.3.364CrossRefGoogle ScholarPubMed
Satterthwaite, FE (1941) Synthesis of variance. Psychometrika 6(5), 309316. https://doi.org/10.1007/BF02288586CrossRefGoogle Scholar
Shenhav, A, Rand, DG and Greene, JD (2012) Divine intuition: Cognitive style influences belief in God. Journal of Experimental Psychology: General 141(3), 423428. https://doi.org/10.1037/a0025391CrossRefGoogle ScholarPubMed
Shermer, M (2010) Deepakese: The Woo-Woo Master Deepak Chopra Speaks. http://www.huffingtonpost.com/michael-shermer/deepakese-the-woo-woo-mas_b_405114.html.Google Scholar
Sirota, M and Juanchich, M (2018) Effect of response format on cognitive reflection: Validating a two- and four-option multiple choice question version of the Cognitive Reflection Test. Behavior Research Methods 50(6), 25112522. https://doi.org/10.3758/s13428-018-1029-4CrossRefGoogle ScholarPubMed
Vives, ML, Aparici, M and Costa, A (2018) The limits of the foreign language effect on decision-making: The case of the outcome bias and the representativeness heuristic. PloS one 13(9), e0203528. https://doi.org/10.1371/journal.pone.0203528CrossRefGoogle ScholarPubMed
Figure 0

Table 1. Summary of the English use and proficiency by 58 FL users

Figure 1

Fig. 1. Boxplots showing the overall profundity ratings for motivational quotes (A) and pseudo-profound bullshit sentences (B) by language group (NL vs. FL). Cross-marks indicate the mean values. NL group = native language group, FL group = foreign language group.

Figure 2

Fig. 2. Histogram showing the distribution of the profundity ratings given to the motivational quotes by participants in the FL group and the NL group, as well as the degree of overlay between the ratings of the two groups; Profundity ratings: 1 = not at all profound, 5 = very profound.