Employing face reading technology to study the effects of the fake news' message sidedness on consumers' emotional valence and arousal

IF 3.1 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Anat Toder Alon, Hila Tahar
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引用次数: 0

Abstract

PurposeThis study aims to investigate how message sidedness affects the impact of fake news posted on social media on consumers' emotional responses.Design/methodology/approachThe study involves a face-tracking experiment in which 198 participants were exposed to different fake news messages concerning the COVID-19 vaccine. Specifically, participants were exposed to fake news using (1) a one-sided negative fake news message in which the message was entirely unfavorable and (2) a two-sided fake news message in which the negative message was mixed with favorable information. Noldus FaceReader 7, an automatic facial expression recognition system, was used to recognize participants' emotions as they read fake news. The authors sampled 17,450 observations of participants' emotional responses.FindingsThe results provide evidence of the significant influence of message sidedness on consumers' emotional valence and arousal. Specifically, two-sided fake news positively influences emotional valence, while one-sided fake news positively influences emotional arousal.Originality/valueThe current study demonstrates that research on fake news posted on social media may particularly benefit from insights regarding the potential but often overlooked importance of strategic design choices in fake news messages and their impact on consumers' emotional responses.
采用人脸识别技术研究假新闻的消息性对消费者情绪效价和情绪唤醒的影响
目的本研究旨在探讨社交媒体虚假新闻对消费者情绪反应的影响。设计/方法/方法该研究涉及一项面部追踪实验,其中198名参与者接触到有关COVID-19疫苗的不同假新闻消息。具体来说,参与者被暴露在假新闻中使用(1)片面的负面假新闻信息,其中信息完全是不利的;(2)双面假新闻信息,其中负面信息与有利信息混合在一起。Noldus FaceReader 7是一款自动面部表情识别系统,用于识别参与者在阅读假新闻时的情绪。作者对参与者的情绪反应进行了17,450次观察。研究结果表明,信息偏向性对消费者的情绪效价和情绪唤起有显著影响。双面假新闻正向影响情绪效价,单面假新闻正向影响情绪唤醒。独创性/价值目前的研究表明,对社交媒体上发布的假新闻的研究可能特别受益于对假新闻信息中战略设计选择的潜在但往往被忽视的重要性及其对消费者情绪反应的影响的见解。
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来源期刊
Online Information Review
Online Information Review 工程技术-计算机:信息系统
CiteScore
6.90
自引率
16.10%
发文量
67
审稿时长
6 months
期刊介绍: The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.
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