Perception of misinformation on social media among Chinese college students

误传 心理学 社会化媒体 主题分析 感知 政府(语言学) 医学教育 社会心理学 应用心理学 定性研究 政治学 医学 社会学 神经科学 法学 哲学 语言学 社会科学
作者
Bowen Jiang,Desheng Wang
出处
期刊:Frontiers in Psychology [Frontiers Media]
卷期号:15
标识
DOI:10.3389/fpsyg.2024.1416792
摘要

Background Chinese college students predominantly use social media applications to collect information, communicate with each other, advance their education, and go shopping. Research has highlighted the spread of misinformation or fake news on social media, and this has affected college students negatively as they are the most frequent users of social media. Objective This research aims to investigate Chinese college students’ perceptions of misinformation on social media, including their views on the consequences of misinformation, insights into the reasons for its dissemination, how misinformation impacts their mental health, and their perspectives on how to control misinformation. Methods This study followed a qualitative approach, selecting 36 participants from 12 universities in China, collecting data through semi-structured interviews, and analyzing the data to enable thematic analysis. Results Chinese college students are aware of the adverse impact of spreading misinformation on social media. They believe that false information is disseminated primarily due to inadequate punishment for those who intentionally spread it. Most college students lack proficiency in identifying misinformation, and they expect the government to do more to control the misinformation phenomenon. Moreover, misinformation on social media may cause Chinese college students to feel dysphoric, angry, and even depressed, thereby affecting their mental health. This research indicates that the public and government should make efforts to address the misinformation phenomenon in order to protect college students from being harmed.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
F二次方应助迷人的安寒采纳,获得100
3秒前
wanghh发布了新的文献求助10
4秒前
卿莞尔完成签到 ,获得积分10
4秒前
andy_lee发布了新的文献求助10
4秒前
5秒前
5秒前
jinjin完成签到,获得积分10
6秒前
石梓硕完成签到,获得积分10
8秒前
华仔应助伍寒烟采纳,获得10
10秒前
xiaobai发布了新的文献求助10
11秒前
12秒前
wanghh完成签到,获得积分10
12秒前
13秒前
无限尔蓝完成签到 ,获得积分10
14秒前
14秒前
丘比特应助morena采纳,获得10
15秒前
灰灰发布了新的文献求助10
17秒前
17秒前
17秒前
17秒前
17秒前
Zz发布了新的文献求助10
17秒前
18秒前
18秒前
18秒前
18秒前
18秒前
19秒前
慕青应助科研通管家采纳,获得10
19秒前
朴实的立果完成签到 ,获得积分10
20秒前
demi2333完成签到,获得积分10
23秒前
rrrrrrry发布了新的文献求助10
26秒前
失眠的梦秋应助文件撤销了驳回
26秒前
Orange应助耍酷的世平采纳,获得30
26秒前
Tingting完成签到 ,获得积分10
27秒前
喜遇徐完成签到,获得积分20
28秒前
桐桐应助xiaobai采纳,获得10
29秒前
29秒前
30秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357689
求助须知:如何正确求助?哪些是违规求助? 8172194
关于积分的说明 17207436
捐赠科研通 5413217
什么是DOI,文献DOI怎么找? 2864954
邀请新用户注册赠送积分活动 1842489
关于科研通互助平台的介绍 1690566