用线上数据解释社会运动的线下参与:公平选举观察员的案例*

Olessia Koltsova, G. Selivanova
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引用次数: 1

摘要

本文调查了社交网站上的社会运动活动在多大程度上与参与线下集体行动有关。这项研究为社会运动的有效交际结构提供了更广泛的理论。我们使用了代表俄罗斯圣彼得堡地区公平选举观察员运动分支机构的17个在线团体的数据,并将其在线属性与运动成员作为选举观察员的线下参与进行了比较。我们发现,虽然使用这些在线数据预测个人离线参与的能力有限,但地区参与率与在线群体特征之间的关联非常强。更大,更具包容性和均匀连接的网络,人们参与高门槛的在线活动,产生更多的线下参与者;较弱的个人水平预测与较强的群体水平预测相结合,表明要么存在“网络效应”,要么存在第三因素。之前有争议的经历或领导人的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
EXPLAINING OFFLINE PARTICIPATION IN A SOCIAL MOVEMENT WITH ONLINE DATA: THE CASE OF OBSERVERS FOR FAIR ELECTIONS*
This article investigates to what extent activity of a social movement on a social networking site is related to participation in offline collective action. This research contributes to a broader theory of effective communicative structures of social movements. We use the data from seventeen online groups representing the branches of the Observers for Fair Elections movement in districts of St. Petersburg, Russia, and compare their online properties to offline participation of movement members as electoral observers. We find that while prediction of individual offline participation with this online data is of limited power, association between district participation rates and online group features is very strong. Large, more inclusive and evenly connected networks, where people engage in high-threshold online activities, produce more offline participants; weak individual-level prediction, combined with strong group-level prediction, suggests either the presence of the “network effect” or of third factors—e.g., prior contentious experience or the leaders' effect.
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