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Crisis information distribution on Twitter: a content analysis of tweets during Hurricane Sandy

机译:Twitter上的危机信息分布:飓风桑迪推文的内容分析

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摘要

Social media has been widely used for crisis communication during disasters, and its use during extreme events has drawn attention from both researchers and practitioners. Although crisis information coverage and distribution speed are important issues, both have not been studied extensively in the literature. This paper fills this gap by studying information distribution and coverage of social media during disasters. To this end, we searched and analyzed 986,579 tweets posted during Hurricane Sandy (October 22 to November 6, 2012). To learn about responses from official agents, we sampled 163 governmental organizations (GO), 31 non-governmental organizations (NGO) and 276 news agent accounts and their tweets for analysis. Specifically, five social media key performance indicators (KPIs) are studied in this paper, including impression, like, mention, re-tweet, and response time, and other variables such as hashtag, tweet frequency, and information type. We also test whether the five KPIs and other variables are different among different user types. Results show that total impression, re-tweet rate, hashtag, and tweet frequency are significantly different among different user types. Specifically, although news agent users generate a larger number of total impressions and tweet more frequently than GO and NGO users, their re-tweet rates and number of hashtags are lower than the GO and NGO users. Re-tweet rate based on mentioned users (5%) is significantly higher than that based on regular followers (0.01%). Nearly 89% of total impressions are generated from regular followers, with impressions from re-tweeting being a minority. This paper provides some new insights into how social media was used for crisis communication during disasters.
机译:社交媒体已广泛用于灾害期间的危机沟通,其在极端事件中的使用引起了研究人员和从业者的关注。虽然危机信息覆盖范围和分销速度是重要的问题,但两者都没有在文献中进行广泛研究。本文通过在灾害期间学习信息分布和社交媒体的覆盖范围来填补这种差距。为此,我们在飓风桑迪(10月22日至11月6日)搜索和分析了986,579次推文(2012年10月22日至11月6日)。要了解官方代理人的回复,我们采样了163个政府组织(GO),31个非政府组织(非政府组织)和276个新闻代理账户及其推文进行分析。具体而言,本文研究了五个社交媒体关键绩效指标(KPI),包括印象,如提及,重新推文和响应时间,以及其他变量,如HASHTAG,Tweet频率和信息类型。我们还测试不同用户类型的五个KPI和其他变量是否不同。结果表明,在不同的用户类型中,总印象,重新推特率,散列和推文频率明显不同。具体而言,虽然新闻代理用户比Go和Ngo用户更频繁地生成更多的总印象和推文,但它们的重新推文率和哈希特数量低于Go和Ngo用户。基于提到的用户(5%)的重新推特率明显高于普通粉丝(0.01%)。近89%的普通符合普遍的追随者产生,次数来自少数民族。本文对社交媒体在灾害期间如何用于危机沟通提供了一些新的见解。

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