SIHCSep 5, 2020

Friend Network as Gatekeeper: A Study of WeChat Users' Consumption of Friend-Curated Contents

arXiv:2009.02531v1
Originality Synthesis-oriented
AI Analysis

This addresses the problem of information overload and lack of traditional gatekeepers in social media for users, offering insights for designing socio-technical systems, though it is incremental as it builds on existing gatekeeping theories.

The study investigated how WeChat users use their friend networks as gatekeepers for content consumption, finding through analysis of over seven million users and a survey of 216 users that friend networks effectively filter information, shifting focus from content production to individual consumption.

Social media enables users to publish, disseminate, and access information easily. The downside is that it has fewer gatekeepers of what content is allowed to enter public circulation than the traditional media. In this paper, we present preliminary empirical findings from WeChat, a popular messaging app of the Chinese, indicating that social media users leverage their friend networks collectively as latent, dynamic gatekeepers for content consumption. Taking a mixed-methods approach, we analyze over seven million users' information consumption behaviors on WeChat and conduct an online survey of $216$ users. Both quantitative and qualitative evidence suggests that friend network indeed acts as a gatekeeper in social media. Shifting from what should be produced that gatekeepers used to decide, friend network helps separate the worthy from the unworthy for individual information consumption, and its structure and dynamics that play an important role in gatekeeping may inspire the future design of socio-technical systems.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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