Mobilizing Manufactured Reality: How Participatory Disinformation Shaped Deep Stories to Catalyze Action during the 2020 U.S. Presidential Election

Mobilizing Manufactured Reality: How Participatory Disinformation Shaped Deep Stories to Catalyze Action during the 2020 U.S. Presidential Election
复制标题

动员人造现实:参与性虚假信息如何塑造深层故事以催化 2020 年美国总统选举期间的行动

DOI:
10.1145/3579616
复制
发表时间:
2023
影响因子:
--
通讯作者:
Starbird, Kate
Starbird, Kate
中科院分区:
--
文献类型:
--
作者:
Prochaska, Stephen;Duskin, Kayla;Kharazian, Zarine;Minow, Carly;Blucker, Stephanie;Venuto, Sylvie;West, Jevin D.;Starbird, Kate

文献摘要

参考文献

被引文献

相似文献

在2020年美国总统大选期间以及2021年1月6日叛乱企图之前,有关选举舞弊的指控引起了人们对迫切需要更好地了解人们如何解读和应对虚假信息的关注。在这项工作中,我们提出了三个主要贡献:(1)一个理解参与性虚假信息与非正式和战术动员之间相互作用的框架;(2)对2020年美国大选的三个案例进行了详细的时间、内容和主题分析;(3)定性编码方案,用于理解数字虚假信息如何动员在线受众。我们将资源动员理论与之前研究参与性虚假信息运动和“深度故事”的工作结合起来,展示虚假或误导性信息如何在选举日之前,期间和之后动员在线受众。我们的分析强调了Twitter用户如何协同构建和放大所谓的欺诈证据,这些证据被用来促进线上和线下的行动。我们发现,动员取决于影响者对虚假或误导性推文的选择性放大,围绕这些主张的框架,以及对其来源的可信度的感知。这些过程是一个自我强化的循环,观众合作构建一个误导性的现实版本,这反过来又导致用于进一步强化制造现实的离线行动。通过这项工作,我们希望更好地为未来的干预措施提供信息。
Claims of election fraud throughout the 2020 U.S. Presidential Election and during the lead up to the January 6, 2021 insurrection attempt have drawn attention to the urgent need to better understand how people interpret and act on disinformation. In this work, we present three primary contributions: (1) a framework for understanding the interaction between participatory disinformation and informal and tactical mobilization; (2) three case studies from the 2020 U.S. election analyzed using detailed temporal, content, and thematic analysis; and (3) a qualitative coding scheme for understanding how digital disinformation functions to mobilize online audiences. We combine resource mobilization theory with previous work examining participatory disinformation campaigns and "deep stories" to show how false or misleading information functioned to mobilize online audiences before, during, and after election day. Our analysis highlights how users on Twitter collaboratively construct and amplify alleged evidence of fraud that is used to facilitate action, both online and off. We find that mobilization is dependent on the selective amplification of false or misleading tweets by influencers, the framing around those claims, as well as the perceived credibility of their source. These processes are a self-reinforcing cycle where audiences collaborate in the construction of a misleading version of reality, which in turn leads to offline actions that are used to further reinforce a manufactured reality. Through this work, we hope to better inform future interventions.
病毒式现实时代的民主:西班牙愤怒运动的媒体流行病学
DOI: --
发表时间: 2014
期刊:
影响因子: --
作者:
John Postill
通讯作者: John Postill
社会运动的阴暗面:社会认同、不随波逐流、阴谋论的诱惑。
DOI: --
发表时间: 2020
影响因子: 5.9
作者:
Anni Sternisko;A. Cichocka;J. V. Van Bavel
通讯作者: J. V. Van Bavel
DOI: 10.1145/3272973.3274064
发表时间: 2018
期刊: Companion of the 2018 ACM Conference on Computer Supported Cooperative Work and Social Computing
影响因子: --
作者:
Ellen Simpson
通讯作者: Ellen Simpson
DOI: 10.1348/000711006x126600
发表时间: 2008-05-01
影响因子: 2.6
作者:
Gwet, Kilem Li
通讯作者: Gwet, Kilem Li
网络虚假信息的设计者:菲律宾巨魔账户和假新闻制作的幕后故事
DOI: --
发表时间: 2018
期刊:
影响因子: --
作者:
J. Ong;J. V. Cabañes
通讯作者: J. V. Cabañes