当假新闻感染政治网络:菲律宾塔拉诺黄金神话的案例研究

Q2 Social Sciences
Ronald U. Mendoza, Camille Kristina S. Elemia, Juan Miguel M. Recto, Bea Alyssa B. de Castro
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引用次数: 1

摘要

错误/虚假信息日益成为民主社会的全球性威胁,造成对制度的不信任,煽动深刻的社会分裂,扰乱民主选举。为了补充先前对菲律宾的研究,本文开发了一种案例研究方法来分析在2022年菲律宾总统选举之前和期间“病毒”传播的一个特定虚假叙述。具体来说,本文考察了塔拉诺黄金神话,使用了一个广泛的社交媒体数据集的实证分析,该数据集由使用CrowdTangle编译的近24,000个社交媒体帖子组成。三组关键信息似乎是这个神话的核心:(1)马科斯黄金对经济复苏至关重要;(2)马科斯的财富是合法的;(3)反对派想要窃取黄金。本文发现有证据表明,塔拉诺黄金神话在2022年总统选举之前在党派团体中传播开来,事实证明仅靠事实核查很难克服。最后一节简要回顾了各国对假新闻的反应,并概述了可能的政策反应,并着眼于它们在病毒式传播模式中的可能时机。这个案例研究的教训强调了及时发现假新闻的必要性,以阻止它们传播并对社会产生巨大的不利影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
When fake news infects political networks: case study of the Tallano gold myth in the Philippines
Abstract Mis-/disinformation has increasingly become a global threat to democratic societies, creating distrust in institutions, fomenting deep societal divisions, and disrupting democratic elections. To complement earlier studies on the Philippines, this paper develops a case study approach to analyze one specific false narrative that went “viral” prior to and during the Philippine Presidential elections in 2022. Specifically, this paper examines the Tallano gold myth, using an empirical analysis of an extensive social media dataset of almost 24,000 social media posts compiled using CrowdTangle. Three key sets of messages appear central to the myth: (1) Marcos gold is critical for economic revival; (2) Marcos’ wealth is legitimate; and (3) the opposition wants to steal the gold. This paper finds evidence that the Tallano gold myth spread across partisan groups prior to the 2022 Presidential elections, proving difficult to overcome with mere fact-checking efforts. A final section concludes by briefly reviewing various country responses to fake news, and outlining possible policy responses with an eye to their possible timing in the virality pattern. Lessons from this case study emphasize the need to catch fake news in time to stop them from reaching virality and generating large adverse impacts on society.
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来源期刊
Media Asia
Media Asia Social Sciences-Social Sciences (miscellaneous)
CiteScore
1.10
自引率
0.00%
发文量
39
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