将同伴提供的可信度标签作为一种网络误导干预措施

IF 5.3 2区 计算机科学 Q1 COMPUTER SCIENCE, CYBERNETICS
Saumya Pareek, Jorge Goncalves
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引用次数: 0

摘要

在社交媒体上,错误信息比比皆是,而现有平台提供的干预措施效果有限。在本研究中,我们考察了由关系亲密程度和政治观点一致程度不同的同伴提供的对信息准确性提出质疑的可信度标签的有效性。我们采用 2(强联系强度与弱联系强度)×2(高政治协议与低政治协议)的主体间因子设计,研究了这些标签的四种变体。我们发现,无论一个人与同伴的关系密切程度如何,他的同党(具有相似政治信仰的同伴)提出的可信度争议都会显著降低对错误信息的信任。我们的研究结果还表明,与以往的文献不同,同伴的可知性可能比可信性更能引起信念的改变,而且信任有时甚至会体现在距离较远的同伴的可信度判断中,如果他们被认为具有专业知识或事实核查倾向的话。我们还进一步强调了这些可信度标签的双重性质,讨论了在哪些情况下,对立党派的超党派成员的争议会强化对错误信息的信任。最后,我们讨论了由同侪提供的可信度争议如何有利于社交媒体,尤其是具有高度政治同质性的回声室。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Peer-supplied credibility labels as an online misinformation intervention

Misinformation is rampant on social media, and existing platform-supplied interventions offer limited effectiveness. In this study, we examine the effectiveness of credibility labels that dispute the accuracy of information when they are supplied by one’s peers at different levels of relationship closeness and political agreement. We investigate four variants of these labels using a 2 (strong vs. weak tie strength) x 2 (high vs. low political agreement) between-subjects factorial design. We find that credibility disputes raised by one’s co-partisans (peers with similar political beliefs) significantly reduced belief in misinformation, irrespective of one’s relationship closeness with the peer. Our findings also reveal that in contrast to prior literature, a peer’s knowledgeability may be more potent than trustworthiness in causing belief change, and that trust can sometimes manifest even in the credibility judgement of distant peers, when perceived to have expertise or a fact-checking tendency. We further highlight the dual nature of these credibility labels, discussing scenarios in which disputes by hyper-partisan members of the opposite party can enforce belief in misinformation. We conclude by discussing how peer-supplied credibility disputes can benefit social media, especially echo chambers with high political homophily, where disputes by a co-partisan may be met with less resistance and persuade significantly reduced belief in fake news.

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来源期刊
International Journal of Human-Computer Studies
International Journal of Human-Computer Studies 工程技术-计算机:控制论
CiteScore
11.50
自引率
5.60%
发文量
108
审稿时长
3 months
期刊介绍: The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities. Research areas relevant to the journal include, but are not limited to: • Innovative interaction techniques • Multimodal interaction • Speech interaction • Graphic interaction • Natural language interaction • Interaction in mobile and embedded systems • Interface design and evaluation methodologies • Design and evaluation of innovative interactive systems • User interface prototyping and management systems • Ubiquitous computing • Wearable computers • Pervasive computing • Affective computing • Empirical studies of user behaviour • Empirical studies of programming and software engineering • Computer supported cooperative work • Computer mediated communication • Virtual reality • Mixed and augmented Reality • Intelligent user interfaces • Presence ...
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