Articles By

Filippo Menczer

Elections

Right and left, partisanship predicts (asymmetric) vulnerability to misinformation

Dimitar Nikolov, Alessandro Flammini and Filippo Menczer

We analyze the relationship between partisanship, echo chambers, and vulnerability to online misinformation by studying news sharing behavior on Twitter. While our results confirm prior findings that online misinformation sharing is strongly correlated with right-leaning partisanship, we also uncover a similar, though weaker, trend among left-leaning users.

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Exposure to social engagement metrics increases vulnerability to misinformation

Mihai Avram, Nicholas Micallef, Sameer Patil and Filippo Menczer

News feeds in virtually all social media platforms include engagement metrics, such as the number of times each post is liked and shared. We find that exposure to these signals increases the vulnerability of users to low-credibility information in a simulated social media feed.

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