One of the drivers for pushing for open data as a form of corruption control stems from the belief that in making government operations more transparent, it would be possible to hold public officials accountable for how public resources are spent. These large datasets would then be open to the public for scrutiny and analysis, resulting in lower levels of corruption. Though data quality has been largely studied and many advancements have been made, it has not been extensively applied to open data, with some aspects of data quality receiving more attention than others. One key aspect however—accuracy—seems to have been overlooked. This gap resulted in our inquiry: how is accurate open data produced and how might breakdowns in this process introduce opportunities for corruption? We study a government agency situated within the Brazilian Federal Government in order to understand in what ways is accuracy compromised. Adopting a distributed cognition (DCog) theoretical framework, we found that the production of open data is not a neutral activity, instead it is a distributed process performed by individuals and artifacts. This distributed cognitive process creates opportunities for data to be concealed and misrepresented. Two models mapping data production were generated, the combination of which provided an insight into how cognitive processes are distributed, how data flow, are transformed, stored, and processed, and what instances provide opportunities for data inaccuracies and misrepresentations to occur. The results obtained have the potential to aid policymakers in improving data accuracy.

Does digitalization reduce corruption? What are the integrity benefits of government digitalization? While the correlation between digitalization and corruption is well established, there is less actionable evidence on the integrity dividends of specific digitalization reforms on different types of corruption and the policy channels through which they operate. These linkages are especially relevant in high corruption risk environments. This article unbundles the integrity dividends of digital reforms undertaken by governments around the world, accelerated by the pandemic. It analyzes the rise of data-driven integrity analytics as promising tools in the anticorruption space deployed by tech-savvy integrity actors. It also assesses the broader integrity benefits of the digitalization of government services and the automation of bureaucratic processes, which contribute to reducing bribe solicitation risks by front-office bureaucrats. It analyzes in particular the impact of digitalization on social transfers. It argues that government digitalization can be an implicit yet effective anticorruption strategy, with subtler yet deeper effects, but there needs to be greater synergies between digital reforms and anticorruption strategies.

Fighting corruption is often seen as a crucial step toward building better institutions, but how it affects political selection remains less well understood. This article argues that in systems where corruption functions as an informal incentive for government to attract talent, anticorruption initiatives that curb rent-seeking opportunities may unintentionally weaken both the quality and the representativeness of the bureaucracy. The authors test this argument in China using an original nationwide survey of government officials and an identification strategy that exploits exogenous variations in enforcement levels created by the recent anticorruption campaign. The study finds that intensified enforcement has generated two potentially negative selection effects: a deterrence effect that lowers the average ability of newly recruited bureaucrats, and a compositional effect that discourages the entry of lower-class individuals in favor of those who are affluent and well connected. These findings highlight important hidden human capital costs of corruption elimination in developing countries.

This essay explores the possibility of universal values. Universal values do not exist as Platonic ideals nor do they exist in clearly defined lists of rules or laws. Rather, universal ethical claims are constructed through the actions of individual political leaders, scholars, and activists. This essay explores how such normative constructions take place. It uses an initiative undertaken by the UN Office of Drugs and Crime to further education around corruption as an example of how such universal values come into existence. The initiative focused on developing teaching materials for higher education. The essay focuses on two particular modules, both their content and the process by which they were written.

In authoritarian regimes, anticorruption measures are fundamentally mechanisms of controlling agents at various levels. To do this, the principal can either rely on routine bureaucratic management or resort to ad hoc, intense mobilization to discipline its agents. Using China as a case study, this article explores which mode of top-down control exerts greater influence on the pattern of anticorruption enforcement. We focus on the cadre rotation system as an example of routine management techniques and examine its effects on provincial level enforcement. We also investigate how provinces respond to the central government's periodic call to intensify anticorruption efforts. Based on provincial enforcement data from 1998 to 2013, our analysis finds that the proportion of rotated officials has little impact on enforcement outcomes. Rather, the vigor of enforcement in the provinces responds strongly to national policy priorities, suggesting a highly centralized disciplinary system. Moreover, provinces of greater political importance are under more central pressure to conform. The findings challenge the often-made argument that stable institutions are effective in fostering top-down control in authoritarian regimes, and suggest that campaign mobilization continues to be an essential instrument at the dictator's disposal.