Suppr超能文献

假新闻:我们为什么会相信它?

Fake news: Why do we believe it?

机构信息

Service de rhumatologie, hôpital Saint-Antoine. AP-HP. Sorbonne université, Paris, France.

出版信息

Joint Bone Spine. 2022 Jul;89(4):105371. doi: 10.1016/j.jbspin.2022.105371. Epub 2022 Mar 4.

Abstract

Fake news dissemination has increased greatly in recent years, with peaks during the US presidential elections and the COVID-19 pandemic. Research has addressed fake news creation, consumption, sharing, and detection as well as approaches to counteract it and prevent people from believing it. This update addresses only a part of the fake news-related issues and focuses on determinants leading individuals to believe fake news, noting that rheumatology is scarcely represented. Some determinants relate to the ecosystem of media and social networks, such as the availability and rapid spread of fake news, the unselected information on platforms and the fact that consumers can become creators of fake news. Cognitive factors are important, such as confirmation bias, political partisanship, prior exposure and intuitive thinking. Low science knowledge and low educational level are also involved. Psychological factors include attraction to novelty, high emotional state, and the emotionally evocative content of fake news. High digital literacy protects against believing fake news. Sociological factors such as online communities, or echo chambers, and the role of pressure groups have been identified. The implication for practice can be deduced, including education in media literacy and warning tips, reliable journalism and fact-checking, social media regulation, partnership of media platforms' with fact-checkers, warning messages on networks, and digital detection solutions. Health professionals need to better understand the factors that cause individuals to believe fake news. Identifying these determinants may help them in their counseling role when talking to patients about misinformation.

摘要

近年来,假新闻的传播大大增加,在美国总统选举和 COVID-19 大流行期间达到高峰。研究已经解决了假新闻的创作、消费、分享和检测问题,以及对抗和防止人们相信假新闻的方法。本更新仅涉及与假新闻相关问题的一部分,重点介绍导致个人相信假新闻的决定因素,并指出风湿病学几乎没有涉及。一些决定因素与媒体和社交网络的生态系统有关,例如假新闻的可用性和快速传播、平台上未经选择的信息以及消费者可以成为假新闻创作者的事实。认知因素很重要,例如确认偏差、政治党派偏见、先前的接触和直观思维。科学知识水平低和教育程度低也是相关因素。心理因素包括对新奇事物的吸引力、高情绪状态以及假新闻的情感唤起内容。高数字素养可防止相信假新闻。已经确定了一些社会学因素,例如在线社区或回音室,以及压力团体的作用。可以推断出对实践的影响,包括媒体素养和警告提示教育、可靠的新闻和事实核查、社交媒体监管、媒体平台与事实核查者的合作、网络上的警告信息以及数字检测解决方案。卫生专业人员需要更好地了解导致个人相信假新闻的因素。确定这些决定因素可能有助于他们在与患者讨论错误信息时发挥咨询作用。

相似文献

1
Fake news: Why do we believe it?
Joint Bone Spine. 2022 Jul;89(4):105371. doi: 10.1016/j.jbspin.2022.105371. Epub 2022 Mar 4.
2
Fake news in the age of COVID-19: evolutional and psychobiological considerations.
Psychiatriki. 2022 Sep 19;33(3):183-186. doi: 10.22365/jpsych.2022.087. Epub 2022 Jul 19.
3
Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.
PLoS One. 2024 Dec 19;19(12):e0315407. doi: 10.1371/journal.pone.0315407. eCollection 2024.
6
Tribalism and tribulations: The social costs of not sharing fake news.
J Exp Psychol Gen. 2023 Mar;152(3):611-631. doi: 10.1037/xge0001374. Epub 2023 Mar 9.
7
Psychological, Communicative, and Relationship Characteristics That Relate to Social Media Users' Willingness to Denounce Fake News.
Cyberpsychol Behav Soc Netw. 2023 Jul;26(7):563-571. doi: 10.1089/cyber.2022.0204. Epub 2023 May 30.
10
"In Flow"! Why Do Users Share Fake News about Environmentally Friendly Brands on Social Media?
Int J Environ Res Public Health. 2022 Apr 16;19(8):4861. doi: 10.3390/ijerph19084861.

引用本文的文献

1
Machine and deep learning algorithms for sentiment analysis during COVID-19: A vision to create fake news resistant society.
PLoS One. 2024 Dec 19;19(12):e0315407. doi: 10.1371/journal.pone.0315407. eCollection 2024.
2
The Social Contract at Risk: COVID-19 Misinformation in South Africa.
Jamba. 2024 Oct 11;16(1):1630. doi: 10.4102/jamba.v16i1.1630. eCollection 2024.
3
The spread of fake news: Disclosure willingness role.
Heliyon. 2024 Jul 15;10(14):e34468. doi: 10.1016/j.heliyon.2024.e34468. eCollection 2024 Jul 30.
4
Examining the growth in willingness to pay for digital wellbeing services on social media: A comparative analysis.
Heliyon. 2024 Jun 5;10(11):e32467. doi: 10.1016/j.heliyon.2024.e32467. eCollection 2024 Jun 15.
6
Fake news during the war in Ukraine: coping strategies and fear of war in the general population of Romania and in aid workers.
Front Psychol. 2023 May 12;14:1151794. doi: 10.3389/fpsyg.2023.1151794. eCollection 2023.
7
Addressing the spread of health-related misinformation on social networks: an opinion article.
Front Med (Lausanne). 2023 May 2;10:1167033. doi: 10.3389/fmed.2023.1167033. eCollection 2023.

本文引用的文献

1
Beyond (Mis)Representation: Visuals in COVID-19 Misinformation.
Int J Press Polit. 2021 Jan;26(1):277-299. doi: 10.1177/1940161220964780.
2
Individual Differences in Belief in Fake News about Election Fraud after the 2020 U.S. Election.
Behav Sci (Basel). 2021 Dec 10;11(12):175. doi: 10.3390/bs11120175.
3
Fake news and COVID-19: modelling the predictors of fake news sharing among social media users.
Telemat Inform. 2021 Jan;56:101475. doi: 10.1016/j.tele.2020.101475. Epub 2020 Jul 30.
5
Influence of Mass Media on Italian Web Users During the COVID-19 Pandemic: Infodemiological Analysis.
JMIRx Med. 2021 Oct 18;2(4):e32233. doi: 10.2196/32233. eCollection 2021 Oct-Dec.
6
Stakes of Knowing the Truth: A Motivational Perspective on the Popularity of a Controversial Scientific Theory.
Front Psychol. 2021 Sep 9;12:708751. doi: 10.3389/fpsyg.2021.708751. eCollection 2021.
7
The impact of emotional signals on credibility assessment.
J Assoc Inf Sci Technol. 2021 Sep;72(9):1117-1132. doi: 10.1002/asi.24480. Epub 2021 May 4.
8
Analysis of Tweets Containing Information Related to Rheumatological Diseases on Twitter.
Int J Environ Res Public Health. 2021 Aug 28;18(17):9094. doi: 10.3390/ijerph18179094.
9
The Impact of COVID-19 on Conspiracy Hypotheses and Risk Perception in Italy: Infodemiological Survey Study Using Google Trends.
JMIR Infodemiology. 2021 Aug 6;1(1):e29929. doi: 10.2196/29929. eCollection 2021 Jan-Dec.
10
No one is immune to misinformation: An investigation of misinformation sharing by subscribers to a fact-checking newsletter.
PLoS One. 2021 Aug 10;16(8):e0255702. doi: 10.1371/journal.pone.0255702. eCollection 2021.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验