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The politics of 'Unfriending': User filtration in response to political disagreement on social media

机译:“不友善”的政治:用户过滤以回应社交媒体上的政治分歧

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This article examines exposure to political disagreement on social media and user filtration in response to it. Popular arguments suggest that social media sites prevent exposure to political disagreement either through algorithmic filtration or selective affiliation. Another popular argument says that when users are exposed to political disagreement on social media, they filter it from their feeds by "unfriending"/"unfollowing" or "hiding" the author. We put these narratives to the test by examining (a) the relationship between social media use and exposure to political disagreement and (b) the factors that predict user filtration in response to political disagreement. Results from analysis based on a nationally representative sample of Colombian adults in urban areas show that (a) engagement with news and public affairs content on social media is positively associated with exposure to political disagreement and (b) the amount of disagreement users are exposed to is not related to user filtration in response. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文研究了社交媒体上政治分歧的暴露以及对此的用户过滤。流行的论点表明,社交媒体网站可以通过算法过滤或有选择的从属关系来防止暴露于政治分歧。另一个流行的说法是,当用户暴露于社交媒体上的政治分歧时,他们会通过“取消对作者的联系” /“取消关注”或“隐藏”来从供稿中过滤掉它。我们通过检查(a)社交媒体使用与政治分歧的暴露之间的关系,以及(b)预测因政治分歧而导致用户过滤的因素,来检验这些叙述。根据对哥伦比亚成年人在城市地区具有全国代表性的样本进行的分析结果表明,(a)社交媒体上新闻和公共事务内容的参与与政治分歧的暴露呈正相关,(b)使用者暴露于政治分歧的数量与响应中的用户过滤无关。 (C)2016 Elsevier Ltd.保留所有权利。

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