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Given that approximately half of Internet users use Facebook to access news, it is no surprise that social media are increasingly seen as a viable source of political information. Despite the fact that the average social media user only clicks on a small fraction of political content available in their News Feed, social media use correlates with political knowledge. From where, then, does this knowledge come? We argue that Facebook’s News Feed itself, with its short article previews, provides enough political information for learning to occur. However, this learning comes with an additional consequence: audiences who only read article previews think they know more than they actually do, especially individuals who are motivated to seek emotions. While we are agnostic to the normative implications of such overconfidence, it is worth noting that similar behaviors are associated with political efficacy, knowledge, and participation.

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One noteworthy characteristic of Donald Trump’s candidacy and subsequent presidency is his willingness to use racial rhetoric. This is especially the case on Twitter, where he communicates directly with millions of followers. This article utilizes a survey experiment to understand how Trump’s tweets influence subjects’ revealed racial attitudes. Subjects are exposed to one of three tweets made by Trump: a control tweet about the economy, a tweet with an implicitly racist message, or a tweet with an explicitly racist message. Analyses indicate that while exposure to racist messages does not influence respondents’ issue prioritization, both implicitly and explicitly racist messages interact with racial resentment to increase the propensity to describe African-Americans in starkly stereotypical and negative language. These findings suggest that the norm of racial equality, long thought to dampen support for elites who invoke explicitly racist rhetoric, has weakened in the Trump era.

The past decade has seen a rapid increase in the number of studies employing psychophysiological methods to explain variation in political attitudes and behavior. However, the collection, analysis, and interpretation of physiological data present novel challenges for political scientists unfamiliar with the underlying biological concepts and technical skills necessary for utilizing this approach. Our objective in this article is to maximize the effectiveness of future work utilizing psychophysiological measurement by providing guidance on how the techniques can be employed most fruitfully as a complement to, not a replacement for, existing methods. We develop clear, step-by-step instructions for how physiological research should be conducted and provide a discussion of the issues commonly faced by scholars working with these measures. Our hope is that this article will be a useful resource for both neophytes and experienced scholars in lowering the start-up costs to doing this work and assessing it as part of the peer review process. More broadly, in the spirit of the open science framework, we aim to foster increased communication, collaboration, and replication of findings across political science labs utilizing psychophysiological methods.

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Is exposure to false information necessary for misbelief? In this article, we consider the possibility that certain individuals hold misinformed beliefs without encountering misinformation, thus questioning for whom exposure to “fake news” is most deleterious. Using a pre-registered experiment on a diverse sample of 1079 US respondents, we find that the young, those with low information literacy, and those with high trust in government tend to hold mistaken beliefs, even without exposure to misinformation. Because these groups are already misinformed, eventual exposure to fake news does little to influence their misperceptions. Instead, misinformation exposure affects the elderly, those with high information literacy, and those with low trust in mainstream media the most. These results suggest that research focused on correcting misperceptions should avoid studying how certain characteristics correlate with misbelief only in misinformation’s presence.