Abstract
Social influence is ubiquitous in politics and online social media. Here we explore how social signals from partisan crowds influence people’s evaluations of political news. For example, are liberals easily persuaded by a liberal crowd, while resisting the influence of conservative crowds? We designed a largescale online experiment (N=1,000) to test how politically-annotated social signals affect participants’ opinions. In times rife with misinformation and polarization, our findings are optimistic: the mechanism of social influence works across political lines, that is, liberals are reliably influenced by majority-Republican
crowds and vice versa. At the same time, we replicate findings showing that people are inclined to discard news claims that are inconsistent with their political views. Considering that people show negative reactions to politically dissonant news but not to social signals that oppose their views, we point to the possibility of depolarizing social rating systems.
crowds and vice versa. At the same time, we replicate findings showing that people are inclined to discard news claims that are inconsistent with their political views. Considering that people show negative reactions to politically dissonant news but not to social signals that oppose their views, we point to the possibility of depolarizing social rating systems.
Original language | English |
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Pages | 1 |
Number of pages | 11 |
State | Published - 2020 |
Externally published | Yes |
Event | Proceedings of the 2020 Truth and Trust Online (TTO 2020) - Virtual Duration: 16 Oct 2020 → 17 Oct 2020 |
Conference
Conference | Proceedings of the 2020 Truth and Trust Online (TTO 2020) |
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Period | 16/10/20 → 17/10/20 |