Using computational techniques to study social influence online
Using computational techniques to study social influence online
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DOI：
10.1177/1368430220937354
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发表时间：
2020-09-01
影响因子：
4.4
通讯作者：
Koschate, Miriam
中科院分区：
文献类型：
--
作者：
Cork, Alicia;Everson, Richard;Koschate, Miriam
社会认同方法表明，群体原型个体对群体成员的影响更大。这种效应已经在线下得到了很好的研究。在这里，我们使用一种评估自然发生数据的原型性的新方法来测试这种效应是否可以在在线社区中复制。在研究1a中（N= 53,049名Reddit用户），我们为两个社会群体：自由主义者和企业家训练了一种原型性的语言度量。然后，我们进一步验证这一措施，以确保它不受人口统计学（研究1b:N= 882）或当地住宿（研究1c:N= 1684丝绸之路用户）的影响。在研究2 （N = 8259）中，我们将原型性的测量与社会影响力的社会网络指标联系起来。与社会认同理论一致的是，更典型的个体会产生更多来自他人的反应。讨论了使用计算方法测试社会心理学理论与自然发生的数据的含义。
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.