Social Alignment Contagion in Online Social Networks

Document Type

Article

Source of Publication

IEEE Transactions on Computational Social Systems

Publication Date

1-1-2022

Abstract

Researchers have already observed social contagion effects in both in-person and online interactions. However, such studies have primarily focused on users’ beliefs, mental states, and interests. In this article, we expand the state of the art by exploring the impact of social contagion on social alignment, i.e., whether the decision to socially align oneself with the general opinion of the users on the social network is contagious to one’s connections on the network or not. The novelty of our work in this article includes: 1) unlike earlier work, this article is among the first to explore the contagiousness of the concept of social alignment on social networks; 2) our work adopts an instrumental variable approach to determine reliable causal relations between observed social contagion effects on the social network; and 3) our work expands beyond the mere presence of contagion in social alignment and also explores the role of population heterogeneity on social alignment contagion. Based on the systematic collection and analysis of data from two large social network platforms, namely, Twitter and Foursquare, we find that a user’s decision to socially align or distance from social topics and sentiments influences the social alignment decisions of their connections on the social network. We further find that such social alignment decisions are significantly impacted by population heterogeneity.

ISSN

2373-924X

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

First Page

1

Last Page

19

Disciplines

Communication | Computer Sciences

Keywords

Social networking (online), Behavioral sciences, Voting, Sociology, Decision making, Blogs, Systematics

Indexed in Scopus

no

Open Access

no

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