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arXiv · 2010.01462

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

Dimitar Nikolov·Alessandro Flammini·Filippo Menczer
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Abstract

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. Because of the correlation between a user's partisanship and their position within a partisan echo chamber, these types of influence are confounded. To disentangle their effects, we perform a regression analysis and find that vulnerability to misinformation is most strongly influenced by partisanship for both left- and right-leaning users.

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Dimitar Nikolov, Alessandro Flammini, Filippo Menczer. 2020-10-04. Right and left, partisanship predicts (asymmetric) vulnerability to misinformation. https://doi.org/10.37016/mr-2020-55

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