社会心理过程和人类欲望:关于网络错误信息的一个难以忽视的真相

IF 5.1 2区 教育学 Q1 Social Sciences Journal of Research on Technology in Education Pub Date : 2023-10-09 DOI:10.1080/15391523.2023.2264962
Wayne Journell
{"title":"社会心理过程和人类欲望:关于网络错误信息的一个难以忽视的真相","authors":"Wayne Journell","doi":"10.1080/15391523.2023.2264962","DOIUrl":null,"url":null,"abstract":"AbstractMuch has been written about the potential civic ramifications of online misinformation, and scholars have identified many useful strategies for helping students discern fact from fiction on social media. However, those strategies make an assumption, which is that consumers of digital media have a desire to identify and share accurate information. In this article, I argue that media literacy efforts should also require students to be retrospective and grapple with their own motivations and biases that may make them more susceptible to believing inaccurate or misleading information. Drawing on theories from political psychology, namely motivated reasoning and confirmation bias, as well as psychosocial research that explains the role of affect on individuals’ decision-making, I identify implications for K-12 media literacy education.Keywords: Media literacysocial mediamotivated reasoningconfirmation biasaffectpsychosocial Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 For the K-12 schools, SHEG studied students from 16 districts in 14 states. They prioritized districts with racial and ethnic diversity, and the districts varied in terms of enrollment, percentage of students receiving specialized education services, and proportion of schools receiving Title 1 funds (Breakstone et al., Citation2021).2 Another problem with educating students on social media norms is that they are always changing. For example, the blue check mark no longer has the same authority it once did. After taking control of X, Musk allowed anyone to purchase a blue check mark for a monthly fee, and recent reports indicate that the Meta products (Facebook and Instagram) are going to follow suit (Espada, Citation2023).3 Elon Musk has since changed the name of the app from Twitter to X. However, given that this fake post occurred when the name was still Twitter, I am using that name and referring to the post as a tweet.4 The experiment was part of the Youth Participatory Politics Survey, which is a nationally representative survey of Americans aged 15 to 27.5 I used the search feature of the websites for British Journal of Educational Technology, Computers and Education, Educational Technology and Society, Journal of Computer Assisted Learning, Journal of Media Literacy, Journal of Research on Technology in Education, and TechTrends.6 As an example, I document one of my own bouts with directional motivation/confirmation bias elsewhere (Journell, Citation2021).7 Determining what is considered an “active user” of social media is somewhat subjective; however, the Pew Research Center (Citation2021) has found that 70% of Facebook users and 60% of Instagram and Snapchat users check their accounts daily. Yet, the number of people who produce content is lower; for example, Pew also found that 25% of the most active X users produced 97% of all posts (McClain, 2021).8 Social media outlets use different terminologies, and some, namely Facebook, have options in which one can remain friends with someone but unfollow or block their posts from being seen. For readability, I use the term “unfollow” from this point on to describe unfriending users, blocking or hiding posts, or any other action taken with the intent to prevent one from seeing unwanted content on their social media accounts.9 Interestingly, unfollowing people due to their politics appears to be more prevalent in the United States than in other democratic nations. In studies conducted in Hong Kong (Zhu et al., Citation2017; Zhu & Skoric, Citation2022) and Israel (John & Dvir-Gvirsman, Citation2015) during periods of political conflict in those respective nations, the percentage reporting unfollowing people due to politics only ranged between 11% to 15%. This discrepancy may be illustrative of the high degree of political polarization found in the United States.10 Research has shown that the likelihood of an American being killed by a refugee-linked terrorist attack is approximately one in 3.6 billion (Beauchamp, Citation2017).11 Of course, it is certainly possible that even when one finds a meme to be false or abhorrent, they may still share it, albeit in an attempt to highlight the inaccuracy, which still results in the meme being shared.Additional informationNotes on contributorsWayne JournellWayne Journell is Professor of social studies education at the University of North Carolina at Greensboro. His research focuses on the teaching of politics and controversial issues in K-12 education.","PeriodicalId":47444,"journal":{"name":"Journal of Research on Technology in Education","volume":"52 1","pages":"0"},"PeriodicalIF":5.1000,"publicationDate":"2023-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Psychosocial processes and human desire: an inconvenient truth about online misinformation\",\"authors\":\"Wayne Journell\",\"doi\":\"10.1080/15391523.2023.2264962\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"AbstractMuch has been written about the potential civic ramifications of online misinformation, and scholars have identified many useful strategies for helping students discern fact from fiction on social media. However, those strategies make an assumption, which is that consumers of digital media have a desire to identify and share accurate information. In this article, I argue that media literacy efforts should also require students to be retrospective and grapple with their own motivations and biases that may make them more susceptible to believing inaccurate or misleading information. Drawing on theories from political psychology, namely motivated reasoning and confirmation bias, as well as psychosocial research that explains the role of affect on individuals’ decision-making, I identify implications for K-12 media literacy education.Keywords: Media literacysocial mediamotivated reasoningconfirmation biasaffectpsychosocial Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 For the K-12 schools, SHEG studied students from 16 districts in 14 states. They prioritized districts with racial and ethnic diversity, and the districts varied in terms of enrollment, percentage of students receiving specialized education services, and proportion of schools receiving Title 1 funds (Breakstone et al., Citation2021).2 Another problem with educating students on social media norms is that they are always changing. For example, the blue check mark no longer has the same authority it once did. After taking control of X, Musk allowed anyone to purchase a blue check mark for a monthly fee, and recent reports indicate that the Meta products (Facebook and Instagram) are going to follow suit (Espada, Citation2023).3 Elon Musk has since changed the name of the app from Twitter to X. However, given that this fake post occurred when the name was still Twitter, I am using that name and referring to the post as a tweet.4 The experiment was part of the Youth Participatory Politics Survey, which is a nationally representative survey of Americans aged 15 to 27.5 I used the search feature of the websites for British Journal of Educational Technology, Computers and Education, Educational Technology and Society, Journal of Computer Assisted Learning, Journal of Media Literacy, Journal of Research on Technology in Education, and TechTrends.6 As an example, I document one of my own bouts with directional motivation/confirmation bias elsewhere (Journell, Citation2021).7 Determining what is considered an “active user” of social media is somewhat subjective; however, the Pew Research Center (Citation2021) has found that 70% of Facebook users and 60% of Instagram and Snapchat users check their accounts daily. Yet, the number of people who produce content is lower; for example, Pew also found that 25% of the most active X users produced 97% of all posts (McClain, 2021).8 Social media outlets use different terminologies, and some, namely Facebook, have options in which one can remain friends with someone but unfollow or block their posts from being seen. For readability, I use the term “unfollow” from this point on to describe unfriending users, blocking or hiding posts, or any other action taken with the intent to prevent one from seeing unwanted content on their social media accounts.9 Interestingly, unfollowing people due to their politics appears to be more prevalent in the United States than in other democratic nations. In studies conducted in Hong Kong (Zhu et al., Citation2017; Zhu & Skoric, Citation2022) and Israel (John & Dvir-Gvirsman, Citation2015) during periods of political conflict in those respective nations, the percentage reporting unfollowing people due to politics only ranged between 11% to 15%. This discrepancy may be illustrative of the high degree of political polarization found in the United States.10 Research has shown that the likelihood of an American being killed by a refugee-linked terrorist attack is approximately one in 3.6 billion (Beauchamp, Citation2017).11 Of course, it is certainly possible that even when one finds a meme to be false or abhorrent, they may still share it, albeit in an attempt to highlight the inaccuracy, which still results in the meme being shared.Additional informationNotes on contributorsWayne JournellWayne Journell is Professor of social studies education at the University of North Carolina at Greensboro. His research focuses on the teaching of politics and controversial issues in K-12 education.\",\"PeriodicalId\":47444,\"journal\":{\"name\":\"Journal of Research on Technology in Education\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":5.1000,\"publicationDate\":\"2023-10-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Research on Technology in Education\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1080/15391523.2023.2264962\",\"RegionNum\":2,\"RegionCategory\":\"教育学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Social Sciences\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Research on Technology in Education","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/15391523.2023.2264962","RegionNum":2,"RegionCategory":"教育学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Social Sciences","Score":null,"Total":0}
引用次数: 0

摘要

关于网络错误信息的潜在公民后果已经写了很多,学者们已经确定了许多有用的策略来帮助学生在社交媒体上辨别事实和虚构。然而,这些策略都有一个假设,即数字媒体的消费者有识别和分享准确信息的愿望。在这篇文章中,我认为媒体素养的努力也应该要求学生回顾并与自己的动机和偏见作斗争,这可能使他们更容易相信不准确或误导性的信息。根据政治心理学的理论,即动机推理和确认偏差,以及解释影响对个人决策作用的社会心理研究,我确定了对K-12媒体素养教育的影响。关键词:媒体素养社会媒体动机推理确认偏见影响心理社会披露声明作者未报告潜在的利益冲突注1:对于K-12学校,SHEG研究了来自14个州16个学区的学生。他们优先考虑具有种族和民族多样性的地区,这些地区在入学率、接受特殊教育服务的学生比例和接受第一标题基金的学校比例方面各不相同(Breakstone等人,Citation2021)对学生进行社交媒体规范教育的另一个问题是,这些规范总是在变化。例如,蓝色复选标记不再具有与以前相同的权限。在控制了X之后,马斯克允许任何人每月支付一定的费用购买一个蓝色的复选标记,最近的报道表明,Meta产品(Facebook和Instagram)也将效仿(Espada, Citation2023)埃隆·马斯克后来把这个应用程序的名字从Twitter改成了x。然而,考虑到这个假帖子是在Twitter的名字还是Twitter的时候发布的,所以我使用了这个名字,并把它称为一条推文该实验是青年参与政治调查的一部分,该调查是对15至27.5岁的美国人进行的具有全国代表性的调查。我使用了英国教育技术杂志、计算机与教育、教育技术与社会、计算机辅助学习杂志、媒体素养杂志、教育技术研究杂志和技术趋势等网站的搜索功能作为一个例子,我在其他地方记录了我自己与定向动机/确认偏见的一次冲突(Journell, Citation2021)确定什么是社交媒体的“活跃用户”有点主观;然而,皮尤研究中心(Citation2021)发现,70%的Facebook用户和60%的Instagram和Snapchat用户每天都会查看自己的账户。然而,制作内容的人数较少;例如,皮尤研究中心还发现,25%最活跃的X用户发表了97%的帖子(麦克莱恩,2021年)社交媒体使用不同的术语,其中一些,如Facebook,可以选择与某人保持朋友关系,但可以取消关注或阻止他们的帖子被看到。为了便于阅读,我从这里开始使用“取消关注”一词来描述取消与用户的好友关系,屏蔽或隐藏帖子,或任何其他旨在防止人们在他们的社交媒体账户上看到不想要的内容的行为有趣的是,由于政治原因而取消关注的人在美国似乎比在其他民主国家更普遍。在香港进行的研究中(Zhu et al., Citation2017;Zhu & Skoric, Citation2022)和以色列(John & dvr - gvirsman, Citation2015)在这些国家的政治冲突期间,由于政治原因而取消关注的人的比例仅在11%到15%之间。研究表明,美国人死于与难民有关的恐怖袭击的可能性约为36亿分之一(Beauchamp, Citation2017)当然,即使一个人发现一个模因是错误的或令人厌恶的,他们仍然可能会分享它,尽管是为了强调它的不准确性,但这仍然会导致模因被分享。作者简介:wayne Journell是北卡罗来纳大学格林斯博罗分校的社会研究教育教授。他的研究重点是K-12教育中的政治教学和有争议的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Psychosocial processes and human desire: an inconvenient truth about online misinformation
AbstractMuch has been written about the potential civic ramifications of online misinformation, and scholars have identified many useful strategies for helping students discern fact from fiction on social media. However, those strategies make an assumption, which is that consumers of digital media have a desire to identify and share accurate information. In this article, I argue that media literacy efforts should also require students to be retrospective and grapple with their own motivations and biases that may make them more susceptible to believing inaccurate or misleading information. Drawing on theories from political psychology, namely motivated reasoning and confirmation bias, as well as psychosocial research that explains the role of affect on individuals’ decision-making, I identify implications for K-12 media literacy education.Keywords: Media literacysocial mediamotivated reasoningconfirmation biasaffectpsychosocial Disclosure statementNo potential conflict of interest was reported by the author(s).Notes1 For the K-12 schools, SHEG studied students from 16 districts in 14 states. They prioritized districts with racial and ethnic diversity, and the districts varied in terms of enrollment, percentage of students receiving specialized education services, and proportion of schools receiving Title 1 funds (Breakstone et al., Citation2021).2 Another problem with educating students on social media norms is that they are always changing. For example, the blue check mark no longer has the same authority it once did. After taking control of X, Musk allowed anyone to purchase a blue check mark for a monthly fee, and recent reports indicate that the Meta products (Facebook and Instagram) are going to follow suit (Espada, Citation2023).3 Elon Musk has since changed the name of the app from Twitter to X. However, given that this fake post occurred when the name was still Twitter, I am using that name and referring to the post as a tweet.4 The experiment was part of the Youth Participatory Politics Survey, which is a nationally representative survey of Americans aged 15 to 27.5 I used the search feature of the websites for British Journal of Educational Technology, Computers and Education, Educational Technology and Society, Journal of Computer Assisted Learning, Journal of Media Literacy, Journal of Research on Technology in Education, and TechTrends.6 As an example, I document one of my own bouts with directional motivation/confirmation bias elsewhere (Journell, Citation2021).7 Determining what is considered an “active user” of social media is somewhat subjective; however, the Pew Research Center (Citation2021) has found that 70% of Facebook users and 60% of Instagram and Snapchat users check their accounts daily. Yet, the number of people who produce content is lower; for example, Pew also found that 25% of the most active X users produced 97% of all posts (McClain, 2021).8 Social media outlets use different terminologies, and some, namely Facebook, have options in which one can remain friends with someone but unfollow or block their posts from being seen. For readability, I use the term “unfollow” from this point on to describe unfriending users, blocking or hiding posts, or any other action taken with the intent to prevent one from seeing unwanted content on their social media accounts.9 Interestingly, unfollowing people due to their politics appears to be more prevalent in the United States than in other democratic nations. In studies conducted in Hong Kong (Zhu et al., Citation2017; Zhu & Skoric, Citation2022) and Israel (John & Dvir-Gvirsman, Citation2015) during periods of political conflict in those respective nations, the percentage reporting unfollowing people due to politics only ranged between 11% to 15%. This discrepancy may be illustrative of the high degree of political polarization found in the United States.10 Research has shown that the likelihood of an American being killed by a refugee-linked terrorist attack is approximately one in 3.6 billion (Beauchamp, Citation2017).11 Of course, it is certainly possible that even when one finds a meme to be false or abhorrent, they may still share it, albeit in an attempt to highlight the inaccuracy, which still results in the meme being shared.Additional informationNotes on contributorsWayne JournellWayne Journell is Professor of social studies education at the University of North Carolina at Greensboro. His research focuses on the teaching of politics and controversial issues in K-12 education.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Journal of Research on Technology in Education
Journal of Research on Technology in Education EDUCATION & EDUCATIONAL RESEARCH-
CiteScore
11.70
自引率
5.90%
发文量
43
期刊介绍: The Journal of Research on Technology in Education (JRTE) is a premier source for high-quality, peer-reviewed research that defines the state of the art, and future horizons, of teaching and learning with technology. The terms "education" and "technology" are broadly defined. Education is inclusive of formal educational environments ranging from PK-12 to higher education, and informal learning environments, such as museums, community centers, and after-school programs. Technology refers to both software and hardware innovations, and more broadly, the application of technological processes to education.
期刊最新文献
Culturally-sustaining and revitalizing computer science education for Indigenous students Computer science for English learners: supporting teacher learning and improved practice to engage multilinguals in AP computer science principles Micro: bit programming effects on elementary STEM teachers’ computational thinking and programming attitudes: a moderated mediation model Advancing culturally responsive-sustaining computer science through K-12 teacher professional development strategies Leading digital innovation in schools: the role of the open innovation mindset
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1