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首页> 外文期刊>International journal of information systems for crisis response and management >Predicting Tweet Retweetability during Hurricane Disasters
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Predicting Tweet Retweetability during Hurricane Disasters

机译：预测飓风灾难期间的推文可转发性

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摘要

Twitter is a vital source for obtaining information, especially during events such as natural disasters. Users can spread information on Twitter either by crafting new posts, which are called "tweets," or by using the retweet mechanism to re-post previously created tweets. During natural disasters, identifying how likely a tweet is to be retweeted is crucial since it can help promote the spread of useful information in a social network such as Twitter, as well as it can help stop the spread of misinformation when corroborated with approaches that identify rumors and misinformation. In this paper, we present an analysis of retweeted tweets from two different hurricane disasters, to identify factors that affect retweetability. We then use these factors to extract features from tweets' content and user account information in order to develop models that automatically predict the retweetability of a tweet. The results of our experiments on Sandy and Patricia Hurricanes show the effectiveness of our features.
机译：Twitter是获取信息的重要来源，尤其是在自然灾害等事件期间。用户可以通过制作新的帖子（称为“ tweets”）或通过使用转发机制重新发布以前创建的推文，在Twitter上传播信息。在自然灾害期间，确定转发一条推文的可能性至关重要，因为它可以帮助促进有用信息在诸如Twitter之类的社交网络中的传播，并且当被用于确定身份的方法得到证实时，也可以帮助阻止错误信息的传播。谣言和错误信息。在本文中，我们对两种不同的飓风灾害中的转发推文进行了分析，以确定影响转发性的因素。然后，我们使用这些因素从推文的内容和用户帐户信息中提取功能，以便开发可自动预测推文可转发性的模型。我们对Sandy和Patricia Hurricanes进行实验的结果表明了我们功能的有效性。

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