论文标题
在贝林卡特分析社交媒体活动
Analyzing Social Media Activities at Bellingcat
论文作者
论文摘要
开源新闻业在媒体生态系统中成为一种新现象,该现象使用众包进行事实检查并使用开放源(例如社交媒体)为世界事件生成调查报告。贝林卡特是一个特别突出的例子。贝林卡特(Bellingcat)以其在叙利亚战争期间非法使用化学武器的调查,俄罗斯对降落MH17的责任,在企图谋杀阿列克谢海军中对肇事者的识别以及在鲁斯索 - 乌克兰战争中的战争罪。至关重要的是社交媒体,以传播发现和众包事实检查。在这项工作中,我们在Twitter上表征了BellingCat的社交媒体活动。为此,我们构建了贝林卡特(Bellingcat)在2014年7月成立以来,贝林卡特(Bellingcat)在Twitter上发布的所有n = 24,682推文的全面数据集。我们的分析是三倍:(1)我们分析了贝林卡特(BellingCat)如何使用Twitter来传播信息并从其追随者基础中收集信息。在这里,我们发现随着时间的流逝,这两个帖子和答复都在稳步增长,尤其是在鲁斯乌克兰战争期间,这符合贝林卡特对传统媒体生态系统的重要性。 (2)我们确定成功引起用户参与度的帖子的特征。用户参与度特别大,对于嵌入其他媒体项目并具有更负面情绪的帖子。 (3)我们研究了追随者基地如何应对俄罗斯对乌克兰的入侵。在这里,我们发现情绪变得更加两极化和负面。我们将其归因于与BellingCat帐户相互作用的机器人增加约13倍。总体而言,我们的发现提供了建议,以了解诸如BellingCat之类的开源新闻业能够在社交媒体上成功运作。
Open-source journalism emerged as a new phenomenon in the media ecosystem, which uses crowdsourcing to fact-check and generate investigative reports for world events using open sources (e.g., social media). A particularly prominent example is Bellingcat. Bellingcat is known for its investigations on the illegal use of chemical weapons during the Syrian war, the Russian responsibility for downing flight MH17, the identification of the perpetrators in the attempted murder of Alexei Navalny, and war crimes in the Russo-Ukraine war. Crucial for this is social media in order to disseminate findings and crowdsource fact-checks. In this work, we characterize the social media activities at Bellingcat on Twitter. For this, we built a comprehensive dataset of all N=24,682 tweets posted by Bellingcat on Twitter since its inception in July 2014. Our analysis is three-fold: (1) We analyze how Bellingcat uses Twitter to disseminate information and collect information from its follower base. Here, we find a steady increase in both posts and replies over time, particularly during the Russo-Ukrainian war, which is in line with the growing importance of Bellingcat for the traditional media ecosystem. (2) We identify characteristics of posts that are successful in eliciting user engagement. User engagement is particularly large for posts embedding additional media items and with a more negative sentiment. (3) We examine how the follower base has responded to the Russian invasion of Ukraine. Here, we find that the sentiment has become more polarized and negative. We attribute this to a ~13-fold increase in bots interacting with the Bellingcat account. Overall, our findings provide recommendations for how open-source journalism such as Bellingcat can successfully operate on social media.