Media Mediate Sentiments: Exploratory Analysis of Tweets Posted Before, During, and After the Great East Japan Earthquake

N. Matsumura, A. Miura, Masashi Komori, K. Hiraishi
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引用次数: 2

Abstract

When the Great East Japan Earthquake occurred, Twitter was used as an infrastructure for sharing information carried by other media. In other words, Twitter is considered as a "meta medium." Earthquake-related tweets included information that was of questionable veracity, contained vicious rumors, and propagated matters of controversy that often gave rise to various discussions and arguments. In this research, the authors analyzed 89,351,242 tweets posted from December 11, 2010 to April 16, 2012. They then extracted 9,816,625 URLs and classified the top 100 domains of these URLs into 19 media categories. The emotional reactions of Twitter users were investigated by counting the terms conveying positive and negative emotions included in the body of tweets along with the media URLs. The authors' findings revealed differences in terms of the frequency with which terms expressing emotions were evoked and differences in the patterns of their surges, across the various media. The authors also considered the usage of various terms appearing in tweets concurrently with the terms expressing emotion.
媒体调解情绪:对东日本大地震前、中、后推文的探索性分析
当东日本大地震发生时,Twitter被用作共享其他媒体传播的信息的基础设施。换句话说,Twitter被认为是一种“元媒体”。与地震有关的推文包括真实性可疑的信息,包含恶意谣言,并传播经常引起各种讨论和争论的争议事项。在这项研究中,作者分析了2010年12月11日至2012年4月16日发布的89,351,242条推文。然后,他们提取了9816625个url,并将这些url的前100个域名分为19个媒体类别。通过统计推文正文中包含的表达积极和消极情绪的术语以及媒体url来调查Twitter用户的情绪反应。作者的发现揭示了在不同的媒体中,表达情感的词语被唤起的频率和其激增模式的差异。作者还考虑了与表达情感的术语同时出现在推文中的各种术语的使用情况。
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