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Not all emotions are created equal: Expressive behavior of the networked public on China's social media site

机译:并非所有的情绪都是一样的:中国社会媒体网站上网络公众的表现行为

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This study attempts to investigate the online expressive behavior of social media users in China. Specifically, we combine machine learning-based textual analysis with social network analysis to examine the structure and content of the discussion network which formed around the political aspects of food safety issues on China's Twitter-like Weibo. The findings suggest that Weibo-mediated communication space does not serve as an effective forum for deliberative discussion because people of like mind tend to cluster and the factor of emotion predominates. Further statistical analyses of a hand-coded sample show that emotional discussions influence people more than cognitive discussions, with distinct emotions (e.g., anger, fear and sadness) having different effects. A poster's status is also found to matter. We contend that this kind of online civic talk underlines an expressive form of rationality that transcends the dominant bipolar instrumental-communicative dimension for understanding the use of social media in online political discussion. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本研究试图调查中国社交媒体用户的在线表达行为。具体来说,我们将基于机器学习的文本分析与社交网络分析相结合,以研究讨论网络的结构和内容,该讨论网络围绕着类似Twitter的中国微博上的食品安全问题的政治方面而形成。研究结果表明,微博介导的交流空间不能用作进行有效讨论的有效论坛,因为思想相似的人倾向于聚集在一起,而情感因素占主导地位。对手编码样本的进一步统计分析表明,情感讨论比认知讨论对人的影响更大,不同的情感(例如愤怒,恐惧和悲伤)具有不同的影响。海报的状态也很重要。我们认为,这种在线公民谈话强调了一种理性的表达形式,这种形式超越了在理解在线政治讨论中使用社交媒体时占主导地位的两极工具-交流维度。 (C)2016 Elsevier Ltd.保留所有权利。

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