Hyperpartisanship, Disinformation and Political Conversations on Twitter: The Brazilian Presidential Election of 2018
Hyperpartisanship, Disinformation and Political Conversations on Twitter: The Brazilian Presidential Election of 2018
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Twitter 上的超级党派之争、虚假信息和政治对话：2018 年巴西总统选举
DOI：
10.1609/icwsm.v14i1.7324
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发表时间：
2020
期刊：
影响因子：
--
通讯作者：
A. Gruzd
中科院分区：
文献类型：
--
作者：
R. Recuero;F. Soares;A. Gruzd
本文探讨了2018年巴西总统选举期间Twitter上的超党派和两极分化的作用。基于混合方法，我们收集和分析了一个关于社会自由党极右翼候选人Jair Bolsonaro的超过800万条推文的数据集。我们的研究结果表明，两极分化，超党派和虚假信息之间有很强的联系。随着超党派媒体在Twitter上的中心地位越来越高，更多的传统媒体变得不那么中心化，对话变得更加两极化。我们还证实，超党派媒体经常分享虚假信息或有偏见的信息，作为新闻媒体的“真相”替代品。虽然在极右翼群体中更经常观察到虚假信息，但它也存在于反Bolsonaro集群中，特别是在径流期。
This paper examines the role of hyperpartisanship and polarization on Twitter during the 2018 Brazilian Presidential Election. Based on a mixed-methods approach, we collected and analyzed a dataset of over 8 million tweets about Jair Bolsonaro, a far-right candidate from the Social Liberty Party. Our results show that there is a strong connection between polarization, hyperpartisanship and disinformation. As the centrality of hyperpartisan outlets on Twitter grew, more traditional media outlets became less central and conversations became more polarized. We also confirmed that hyperpartisan outlets often shared disinformation or biased information, presented as a “truth-telling” alternative to journalistic outlets. And while disinformation was more frequently observed in the far-right group, it was also present in the anti-Bolsonaro cluster, especially towards the runoff period.
DOI：
10.1145/3184558.3188725
发表时间：
2018-03
期刊：
Companion Proceedings of the The Web Conference 2018
影响因子：
--
作者：
S. Bhatt;Sagar Joglekar;S. Bano;Nishanth R. Sastry
通讯作者：
S. Bhatt;Sagar Joglekar;S. Bano;Nishanth R. Sastry