Harvard Kennedy School Misinformation Review1 February 2021, Volume 1, Issue 7 Creative Commons Attribution 4.0 International (CC BY 4.0) Reprints and permissions:
[email protected] DOI: https://doi.org/10.37016/mr-2020-55 Website: misinforeview.hks.harvard.edu Research Article Right and left, partisanship predicts (asymmetric) vulnerability to misinformation 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 performed a regression analysis and found that vulnerability to misinformation is most strongly influenced by partisanship for both left- and right-leaning users. Authors: Dimitar Nikolov (1), Alessandro Flammini (1), Filippo Menczer (1) Affiliations: (1) Observatory on Social Media, Indiana University, USA How to cite: Nikolov, D., Flammini, A., & Menczer, F. (2021). Right and left, partisanship predicts (asymmetric) vulnerability to misinformation. Harvard Kennedy School (HKS) Misinformation Review, 1(7). Received: October 12th, 2020. Accepted: December 15th, 2020. Published: February 15th, 2021. Research questions • Is exposure to more