评估在线讨论中COVID-19疫苗误传/虚假信息的可信度。

IF 1.8 4区 管理学 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS Journal of Information Science Pub Date : 2023-08-01 DOI:10.1177/01655515211040653
Reijo Savolainen
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引用次数: 13

摘要

本研究考察了在线讨论中如何评估错误或虚假信息内容的可信度,以及作者创造此类信息的可信度。更具体地说,调查的重点是关于COVID-19疫苗的错误或虚假信息的可信度。为此,通过定性内容分析的方法,对发布到Reddit讨论组的1887条信息进行了仔细审查。研究结果表明,在评估作者可信度时,最重要的标准是作者的声誉、专业知识和论证诚实度。在对虚假信息内容可信度的判断中,信息的客观性和论证的合理性是非常重要的。研究结果强调,在评估错误/虚假信息的可信度时,作者的不良声誉、不称职和不诚实等品质尤为重要,因为它们会引发人们对作者所创造的信息内容如何被评判的预期。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Assessing the credibility of COVID-19 vaccine mis/disinformation in online discussion.

This study examines how the credibility of the content of mis- or disinformation, as well as the believability of authors creating such information is assessed in online discussion. More specifically, the investigation was focused on the credibility of mis- or disinformation about COVID-19 vaccines. To this end, a sample of 1887 messages posted to a Reddit discussion group was scrutinised by means of qualitative content analysis. The findings indicate that in the assessment of the author's credibility, the most important criteria are his or her reputation, expertise and honesty in argumentation. In the judgement of the credibility of the content of mis/disinformation, objectivity of information and plausibility of arguments are highly important. The findings highlight that in the assessment of the credibility of mis/disinformation, the author's qualities such as poor reputation, incompetency and dishonesty are particularly significant because they trigger expectancies about how the information content created by the author is judged.

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来源期刊
Journal of Information Science
Journal of Information Science 工程技术-计算机:信息系统
CiteScore
6.80
自引率
8.30%
发文量
121
审稿时长
4 months
期刊介绍: The Journal of Information Science is a peer-reviewed international journal of high repute covering topics of interest to all those researching and working in the sciences of information and knowledge management. The Editors welcome material on any aspect of information science theory, policy, application or practice that will advance thinking in the field.
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