Look who's watching: platform labels and user engagement on state-backed media outlets
Samantha Bradshaw, Mona Elswah, Antonella Perini

TL;DR
This study investigates how YouTube's state media labels influence user engagement and perceptions, revealing limited overall impact but notable effects on critical comments for certain outlets like RT.
Contribution
It introduces new methodological and theoretical approaches to assess the impact of state media labels on user engagement with content.
Findings
RT received fewer likes after labeling.
Critical comments about RT decreased significantly post-labeling.
Other outlets' critical comments were influenced more by political content than labeling.
Abstract
Recently, social media platforms have introduced several measures to counter misleading information. Among these measures are state media labels which help users identify and evaluate the credibility of state-backed news. YouTube was the first platform to introduce labels that provide information about state-backed news channels. While previous work has examined the efficiency of information labels in controlled lab settings, few studies have examined how state media labels affect user perceptions of content from state-backed outlets. This paper proposes new methodological and theoretical approaches to investigate the effect of state media labels on user engagement with content. Drawing on a content analysis of 8,071 YouTube comments posted before and after the labelling of five state-funded channels (Al Jazeera English, CGTN, RT, TRT World, and Voice of America), this paper analyses…
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Taxonomy
TopicsSocial Media and Politics · Hate Speech and Cyberbullying Detection · Media Studies and Communication
