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Psychological underpinnings of partisan bias in tie formation on social media. | LitMetric

AI Article Synopsis

  • Individuals are more likely to connect with people who share their political views (copartisans) rather than those with opposing views (counter-partisans) on social media.
  • A Twitter field experiment showed that users were more inclined to follow back accounts labeled as human and associated with their political party compared to those identified as bots or from the opposing party.
  • Additional survey results indicated that factors like issue polarization, dislike for opposing parties, and fondness for one's own party influenced users' decisions to reciprocate connections online.

Article Abstract

Individuals preferentially reciprocate connections with copartisans versus counter-partisans online. However, the mechanisms underlying this partisan bias remain unclear. Do individuals simply prefer viewing politically congenial content, or do they additionally prefer socially connecting with copartisans? Is this driven by preference for in-party ties or distaste for out-party ties? In a Twitter (now called X) field experiment, we created bot accounts varying by partisanship and whether they identified as bots or humans. We randomly assigned Twitter users ( = 3,013) to be followed by one of these accounts. We found evidence for social motivation-users were much more likely to reciprocate links to copartisan relative to counter-partisan accounts when the accounts identified as humans versus bots. We also found evidence for both in-party preference and out-party dispreference-users were as likely to follow back copartisan accounts as they were unlikely to followback counter-partisan accounts, compared to politically neutral accounts. A follow-up survey experiment ( = 990) provides further evidence for distinct roles of issue polarization, out-party animosity, and in-party affinity in moderating follow-back decisions online. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

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Source
http://dx.doi.org/10.1037/xge0001662DOI Listing

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