News audience fragmentation in the Japanese Twittersphere
News audience fragmentation in the Japanese Twittersphere
复制标题
日本 Twitter 圈的新闻受众碎片化
DOI：
10.1080/01292986.2018.1458326
复制
发表时间：
2018
影响因子：
2.6
通讯作者：
H.
中科院分区：
文献类型：
--
作者：
Kobayashi;T.;Ogawa;Y.;Suzuki;T. and Yamamoto;H.
虽然基于意识形态的受众碎片化的计算方法是有前途的，但它们并非没有限制。首先，大多数现有研究都集中在美国，其结果的跨国有效性很少得到测试。其次，以往的研究仅依赖于社交媒体的行为数据，倾向于做出强有力的分析假设，例如Twitter用户更喜欢关注与自己意识形态立场相似的媒体和政治家，政治精英的意识形态可以推断出普通用户的意识形态。我们的目标是解决这些局限性。首先，我们专注于日本，以测试美国的研究结果在亚洲背景下的普遍性。第二，我们不只是依靠行为测量，而是结合联合收割机调查和社交媒体数据来推断Twitter用户的意识形态。结果表明，我们的分类器建立在这些自我报告的意识形态产生更有效的估计比天真的推断从精英的观点。基于这些改进的Twitter用户的意识形态的估计，我们证明，那些谁遵循日本主要媒体帐户在Twitter上的意识形态分布在很大程度上重叠，这表明没有基于意识形态的观众碎片化。
Although computational approaches to ideology-based audience fragmentation are promising, they are not without limitations. First, most existing studies have focused on the US, and the cross-national validity of their results has rarely been tested. Second, previous studies that rely solely on behavioral data from social media tend to make strong analytical assumptions such as that Twitter users prefer to follow media and politicians whose ideological positions are similar to their own, and that the ideologies of political elites can be extrapolated to infer the ideologies of ordinary users. We aim to address these limitations. First, we focus on Japan to test the generalizability of US findings in an Asian context. Second, we do not rely solely on behavioral measurement but combine survey and social media data to infer the ideologies of Twitter users. Results indicate that our classifier built based on these self-reported ideologies produces more valid estimates than naïve extrapolation from views of the elites. Based on these improved estimates of Twitter users’ ideologies, we demonstrate that the ideological distributions of those who follow major Japanese media accounts on Twitter largely overlap, suggesting an absence of ideology-based audience fragmentation.