Looking the other way? Selective media exposure and electoral punishment of corruption - Enrique Hernández
Start time: 15:30 / End time: 17:00 / Date: 13 May 2021 Open to: Students within this Faculty / Staff within this Faculty / Any UOL students / Any UOL staff Type: Seminar Cost: This is a free event, however, please register via the Eventbrite link provided Contact: For more information contact Dr Luca Bernadi at Luca.Bernardi@liverpool.ac.uk Citizens are expected to punish corrupt politicians at the polls. In line with this presumption, lab and survey experiments consistently show that citizens are unlikely to vote for candidates that engage in corruption. At the same time, observational studies and field experiments frequently conclude that corrupt politicians are only mildly punished by voters. This apparent contradiction could be a consequence of the design implemented in previous lab and survey experiments. In the real world, individuals tend to avoid and downplay information that challenges previously held beliefs, like their partisanship. An experimental design that randomly informs participants about corruption, and disregards the fact that citizens are prone to self-select information, is highly unrealistic and might lead to an overestimation of the electoral consequences of corruption. Unlike previous studies, this paper implements a Preference Incorporating Choice and Assignment (PICA) experimental design in order to address the following question: how does information about corruption affect the likelihood of voting for corrupt politicians when accounting for information self-selection? Based on an online experiment conducted in Spain (N = 3,200), the PICA design allows us to estimate the electoral consequences of corruption accounting for the fact that citizens are able to overlook information about corruption from their preferred party, either by exposing themselves selectively to information about malfeasance from other parties or by avoiding information about corruption altogether. The PICA design increases ecological validity by explicitly modelling how citizens navigate information about malfeasance from different parties, while retaining the internal validity of fully randomized experiments. Bio: Enrique Hernández is a postdoctoral fellow at the Democracy, Elections and Citizenship research group at the Universitat Autònoma de Barcelona. He completed a Ph.D. in Political and Social Sciences at the European University Institute in 2016. Enrique’s main research interests are in political attitudes, public opinion, electoral behavior, and political participation. His work has been published in Electoral Studies, the European Journal of Political Research, the European Political Science Review, European Union Politics, Political Analysis, and Research & Politics. Click on "Create a calendar file" and your browser will download a .ics file for this event. Microsoft Outlook: Download the file, double-click it to open it in Outlook, then click on "Save & Close" to save it to your calendar. If that doesn't work go into Outlook, click on the File tab, then on Open & Export, then Open Calendar. Select your .ics file then click on "Save & Close". Google Calendar: download the file, then go into your calendar. On the left where it says "Other calendars" click on the arrow icon and then click on Import calendar. Click on Browse and select the .ics file, then click on Import. Apple Calendar: The file may open automatically with an option to save it to your calendar. If not, download the file, then you can either drag it to Calendar or import the file by going to File >Import > Import and choosing the .ics file.About the event
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