User Effort and Network Structure Mediate Access to Information in Networks

TL;DR

This study investigates how user effort and network structure influence the diversity of information accessed on social media, revealing that more engaged users in diverse network positions receive more varied information.

Contribution

It introduces a probabilistic model incorporating cognitive constraints to measure information diversity and demonstrates the mediating role of user effort in access to diverse information.

Findings

Users in structurally diverse positions access more diverse information.

Higher user effort correlates with increased information diversity.

Engagement level influences network position and information access.

Abstract

Individuals' access to information in a social network depends on its distributed and where in the network individuals position themselves. However, individuals have limited capacity to manage their social connections and process information. In this work, we study how this limited capacity and network structure interact to affect the diversity of information social media users receive. Previous studies of the role of networks in information access were limited in their ability to measure the diversity of information. We address this problem by learning the topics of interest to social media users by observing messages they share online with their followers. We present a probabilistic model that incorporates human cognitive constraints in a generative model of information sharing. We then use the topics learned by the model to measure the diversity of information users receive from their social media contacts. We confirm that users in structurally diverse network positions, which bridge otherwise disconnected regions of the follower graph, are exposed to more diverse information. In addition, we identify user effort as an important variable that mediates access to diverse information in social media. Users who invest more effort into their activity on the site not only place themselves in more structurally diverse positions within the network than the less engaged users, but they also receive more diverse information when located in similar network positions. These findings indicate that the relationship between network structure and access to information in networks is more nuanced than previously thought.