COVID-19大流行期间对在线新闻准确性的看法

Q2 Computer Science

First Monday Pub Date : 2023-03-13 DOI:10.5210/fm.v28i3.12342

M. Almoqbel, Jordan Vanzyl, Matthew Keaton, Manal Desai, Seejal Padhi, Seong-Jae Min, D. Y. Wohn

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引用次数: 0

摘要

在这项研究中，我们通过一项为期七天的日记研究，评估了年轻人如何确定新闻文章和来源的准确性。我们对参与者的反应进行了定性分析，发现参与者主要使用九种不同的策略来评估COVID新闻的准确性。大多数受访者依赖于他们固有的信任和给定新闻媒体的声誉，而不是主动确定信息是否准确。年轻人还使用他们对文章质量的看法、个人逻辑推理、交叉引用信息、数据的可用性等。我们讨论了结果的含义，并提出了切实可行的建议。

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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Perceptions of accuracy in online news during the COVID-19 pandemic

In this research, we assessed how young adults determine the accuracy of news articles and sources through a seven-day diary study. We performed a qualitative analysis on the participants’ responses and found that the participants mainly used nine different strategies to evaluate the accuracy of COVID news. The majority of respondents relied on their inherent trust and the reputation of a given news outlet instead of actively determining if the information was accurate. Young adults also used their perception of the quality of the article, personal logical reasoning, cross referencing the information, availability of data, among others. We discuss the implications of the results and propose practical suggestions.

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来源期刊

First Monday Computer Science-Computer Networks and Communications

CiteScore

2.20

自引率

0.00%

发文量

期刊介绍： First Monday is one of the first openly accessible, peer–reviewed journals on the Internet, solely devoted to the Internet. Since its start in May 1996, First Monday has published 1,035 papers in 164 issues; these papers were written by 1,316 different authors. In addition, eight special issues have appeared. The most recent special issue was entitled A Web site with a view — The Third World on First Monday and it was edited by Eduardo Villanueva Mansilla. First Monday is indexed in Communication Abstracts, Computer & Communications Security Abstracts, DoIS, eGranary Digital Library, INSPEC, Information Science & Technology Abstracts, LISA, PAIS, and other services.