Partisan Selective Exposure to Fake News Content

Cognitive Dissonance or Credibility?: A Comparison of Two Theoretical Explanations for Selective Exposure to Partisan News

Selective exposure research indicates that news consumers tend to seek out attitudeconsistent information and avoid attitude-challenging information. This study examines online news credibility and cognitive dissonance as theoretical explanations for partisan selective exposure behavior. After viewing an attitudinally consistent, challenging, or politically balanced online news source, cognitiv...

Optimal Signaling of Content Accuracy: Likes vs. Fake News

We study the tradeoff between user engagement and misinformation faced by an online social networking platform. The content available on the platform is possibly erroneous. Agents decide whether to engage with the content based on their direct satisfaction from engaging, the disutility from engaging with erroneous content, and the positive externality that they derive from engaging with the sam...

Fake News in Social Networks

We model the spread of news as a social learning game on a network. Agents can either endorse or oppose a claim made in a piece of news, which itself may be either true or false. Agents base their decision on a private signal and their neighbors’ past actions. Given these inputs, agents follow strategies derived via multi-agent deep reinforcement learning and receive utility from acting in acco...

The Economics of "Fake News"

Automatic Detection of Fake News

The proliferation of misleading information in everyday access media outlets such as social media feeds, news blogs, and online newspapers have made it challenging to identify trustworthy news sources, thus increasing the need for computational tools able to provide insights into the reliability of online content. In this paper, we focus on the automatic identification of fake content in online...