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Analyzing the spread of tweets in response to Paris attacks

机译:分析针对巴黎袭击事件的推文传播

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摘要

Twitter is a widely used social media platform that provides a rich source of geotagged posts along with extended content information, such as hashtags or images. Since tweets are frequently used for the instant sharing of news, thoughts, and ideas, they reflect to some extent the effects of critical events, such as natural disasters or political riots, on the society, and how the society perceives such events. This paper analyzes, using exploratory methods and regression models, the spatio-temporal patterns of geo-located tweets that were posted in response to the November 2015 Paris terrorist attacks. It determines how information about this event spread around the world in the Twitter network and assesses how content category, tweet format, and profession of the user influence tweet popularity, measured by the number of retweets. The paper contributes to a better understanding of how the Twitter community reacts to unexpected events and how information about such an event propagates geographically.
机译:Twitter是一种广泛使用的社交媒体平台,它提供了丰富的带有地理标记的帖子以及扩展的内容信息(例如,标签或图像)。由于推文经常用于新闻,思想和观念的即时共享,因此它们在一定程度上反映了诸如自然灾害或政治骚乱等重大事件对社会的影响,以及社会如何看待这些事件。本文使用探索性方法和回归模型分析了为响应2015年11月巴黎恐怖袭击而发布的地理位置推文的时空模式。它确定有关此事件的信息如何在Twitter网络中传播到世界各地,并评估内容类别,推文格式和用户职业如何影响推文的流行程度(以转发数计)。本文有助于更好地了解Twitter社区如何应对意外事件以及有关此类事件的信息如何在地理上传播。

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