Same scandal, different interpretations: politics of corruption, anger, and partisan bias in Mexico
Abstract
Instead of focusing on “why voters appear to tolerate rather than punish” as most previous literature, this paper advances an alternative explanation: it seeks to explain how voters process information about corruption. Consistent with research on public opinion formation, this paper argues that voters can perceive the same event and make different interpretation about its meaning. Based on an original survey experiment conducted during the 2018 presidential election in Mexico, this study finds that citizens hold partisan attitudes and are motivated to protect these partisan predispositions, which make them interpret common events in different way. In particular, when this study informed voters that an unnamed candidate engaged in corruption, respondents unequivocally considered such actions as corrupt. However, when the name of their co-partisan candidate was explicitly mentioned as engaging in the same activities, voters rejected to qualify them as corrupt. Partisans are not “tolerating” or “condoning” corruption; partisans tend to choose interpretations that rationalize their partisan priors and justify their co-partisans’ behavior.
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Citizens evaluate corrupt actions differently depending on the partisan affiliation of the involved politician: they tend to be more forgiving with co-partisan politicians and more condemning towards members of other parties.
“Citizens evaluate corrupt actions differently depending on the partisan affiliation of the involved politician: they tend to be more forgiving with copartisan politicians and more condemning towards members of other parties (Anduiza et al., 2013;Cornejo, 2023).”
From Political polarization and corruption: A theoretical and empirical review (2024) · cites this paper as Cornejo, 2023
Cites
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Uncivil Agreement: How Politics Became Our Identity
Mason, L. (2018) · doi:10.7208/chicago/9780226524689.001.0001 · Cited by 1,985 · cited 1× · see citing works
“This means that polarization is not primarily rooted on ideology but on identity (Iyengar, Sood, and Lelkes 2012; Mason 2018).”
BackgroundBeyond the Running Tally: Partisan Bias in Political Perceptions
Bartels, L. M. (2002) · Political Behavior · doi:10.1023/a:1021226224601 · Cited by 1,468 · see citing works
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“Given voters ’ tendency to develop an in-group/out-group identity (Tajfel 1981), polarized partisans resort to motivated reasoning to view their party as acting in good intentions (Edelson et al. 2017) and others as acting to immoral ends (Miller, Saunders, and Farhart 2016).”
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Political polarization and corruption: A theoretical and empirical review
Hajnal, Á. (2024) · Intersections · doi:10.17356/ieejsp.v10i2.1310 · Cited by 3 · see citing works
“Citi - zens evaluate corrupt actions differently depending on the partisan affiliation of the in - volved politician: they tend to be more forgiving with copartisan politicians and more condemning towards members of other parties (Anduiza et al., 2013; Cornejo, 2023).”
Background
- Authors
- Cornejo, R. C.
- Affiliations
- Centro de Investigación y Docencia Económicas (MX)
- Corresponding author
- Cornejo, Rodrigo Castro
- Venue
- Journal of Elections, Public Opinion and Parties
- Publisher
- Informa UK Limited
- Published
- 2022-09-07
- Volume
- 33
- Issue
- 3
- Pages
- 497-518
- ISSN
- 1368-9886 (ISSN-L)
- 1745-7289
- 1745-7297
- OpenAlex
- W4294884813
- Cited by
- 17
- References
- 7
- Citations by year
- 2026: 2 · 2025: 6 · 2024: 7 · 2023: 1 · 2022: 1
- FWCI
- 12.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Elections Public Opinion and Parties (publishedVersion)
- Topics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Social Sciences › Sociology and Political Science › Corruption and Economic Development
- Social Sciences › Political Science and International Relations › Politics and Society in Latin America
- Keywords
- corruption, partisan bias, political anger, information processing, public opinion formation, 2018 Mexican presidential election
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