IF 7.6 2区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE
Clara Christner , Mykola Makhortykh , Teresa Gil-Lopez
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引用次数: 0

摘要

尽管右翼民粹主义和虚假信息在概念上很接近,但我们对民粹激进右翼(PRR)的态度是否会影响网络虚假信息的接触知之甚少。以往的研究表明,个人特征和媒体使用会影响接触(更多)虚假信息的可能性。然而,很少有研究探讨了激进右翼分子的态度对接触虚假信息的影响。此外,以往的研究在测量网上实际接触虚假信息的情况方面也存在局限性。在本研究中,我们采用了一种新颖的方法来了解在日冕大流行初期,PRR 的态度、媒体信任度和社交媒体的使用是如何影响网络虚假信息曝光的。我们结合了对德国 N = 594 名参与者的个人在线信息行为的调查和跟踪数据。为了识别跟踪数据中的虚假信息,我们开发了一种机器-人工混合方法,将虚假信息的自动分类与手工编码相结合。研究结果表明,虚假信息的平均在线曝光率很低,但却高度集中于一小部分个人和网站。较高的政治关系态度、对非传统媒体的信任、对社交媒体政治信息的依赖以及较低的教育水平都预示着较高的虚假信息在线曝光率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Populist radical-right attitudes, media trust, and social media reliance: Combining survey and tracking data to investigate predictors of online exposure to disinformation
Despite the conceptual affinity of right-wing populism and disinformation, we know little about whether populist radical-right (PRR) attitudes impact exposure to disinformation online. Previous research indicates that individual characteristics and media use affect the likelihood of being exposed to (more) disinformation. However, few studies examined the effect of PRR attitudes on exposure to disinformation. Further, previous studies show limitations with regard to the measurement of actual online exposure to disinformation. For this study, we used a novel approach to understand how PRR attitudes, media trust and social media usage affect online exposure to disinformation in the beginning of the corona pandemic. We combined survey and tracking data on individual online information behavior of N = 594 participants from Germany. To identify disinformation in the tracking data, we developed a hybrid machine-human approach combining automated classification of disinformation with hand-coding. Findings show very low average online exposure to disinformation, but high concentration among a small group of individuals and websites. Higher levels of PRR attitudes, trust in non-traditional media, reliance on social media for political information, and lower levels of education predicted a higher online exposure to disinformation.
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来源期刊
Telematics and Informatics
Telematics and Informatics INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
17.00
自引率
4.70%
发文量
104
审稿时长
24 days
期刊介绍: Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.
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