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Using computational techniques to study social influence online
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DOI：10.1177/1368430220937354.png)
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Abstract
En 中文
The social identity approach suggests that group prototypical individuals have greater influence over fellow group members. This effect has been well-studied offline. Here, we use a novel method of assessing prototypicality in naturally occurring data to test whether this effect can be replicated in online communities. In Study 1a (N= 53,049 Reddit users), we train a linguistic measure of prototypicality for two social groups: libertarians and entrepreneurs. We then validate this measure further to ensure it is not driven by demographics (Study 1b:N= 882) or local accommodation (Study 1c:N= 1,684 Silk Road users). In Study 2 (N =8,259), we correlate this measure of prototypicality with social network indicators of social influence. In line with the social identity approach, individuals who are more prototypical generate more responses from others. Implications for testing sociopsychological theories with naturally occurring data using computational approaches are discussed.
Keywords:
computational social science
identity prototype
machine learning
online social influence
social identity theory
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