2018
DOI: 10.1002/symb.381
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Audience Design and Context Discrepancy: How Online Debates Lead to Opinion Polarization

Abstract: This article examines how the technical layout of some online platforms shapes the way individuals engage in public debate online. To do so, the research studies an empirical case of how public debating on Weibo—China's equivalent to Twitter—leads to opinion polarization. The technical layout of Weibo strongly influences how users debate with others. The thread‐based message structure fragments the interactional context, preventing users from gaining a clear picture about other discussants and the ongoing conv… Show more

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Cited by 18 publications
(12 citation statements)
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References 62 publications
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“…With the relative anonymity that comes with traditional media, some actors are, potentially, emboldened (Phillips ). Likewise, the structure of online communication can promote discord (Lin and Tian ; Tian and Menchik ). Another more general factor to consider is the intensity of political polarization in the United States (e.g., see Sexton ).…”
Section: Disalignment and Stigma Contestsmentioning
confidence: 99%
“…With the relative anonymity that comes with traditional media, some actors are, potentially, emboldened (Phillips ). Likewise, the structure of online communication can promote discord (Lin and Tian ; Tian and Menchik ). Another more general factor to consider is the intensity of political polarization in the United States (e.g., see Sexton ).…”
Section: Disalignment and Stigma Contestsmentioning
confidence: 99%
“…These and other issues have been highlighted elsewhere in the radiography literature 49,50 and research also suggests that threadbased discussions risk creating misunderstandings. 51 The themes constructed from the findings of this research show that compassion is a broader phenomenon than might be assumed from dictionary definitions, which are confined to feelings around suffering coupled with a desire to relieve it. This may explain why, despite assumptions that it is universally understood, it means different things to different people.…”
Section: Discussionmentioning
confidence: 79%
“…Sude et al [ 19 ] considered that online contexts did not always foster polarization through selective exposure marked by a confirmation bias, and people’s attitudes were more moderate when they encountered inconsistent cues. Lin and Tian [ 20 ] studied an empirical case of how public debating on Weibo, China’s equivalent to Twitter, leads to opinion polarization. Weibo’s technical design, which enabled simultaneous interactions with multiple audiences (of which many users are unaware) further complicated the debate.…”
Section: Literature Reviewmentioning
confidence: 99%