A Literature Review on Detecting, Verifying, and Mitigating Online Misinformation

误传 造谣 社会化媒体 分类 计算机科学 互联网隐私 微博 数据科学 诬告 计算机安全 万维网 人工智能 心理学 社会心理学
作者
Arezo Bodaghi,Ketra Schmitt,Pierre Watine,Benjamin C. M. Fung
出处
期刊:IEEE Transactions on Computational Social Systems [Institute of Electrical and Electronics Engineers]
卷期号:: 1-27 被引量:4
标识
DOI:10.1109/tcss.2023.3289031
摘要

Social media use has transformed communication and made social interaction more accessible. Public microblogs allow people to share and access news through existing and social-media-created social connections and access to public news sources. These benefits also create opportunities for the spread of false information. False information online can mislead people, decrease the benefits derived from social media, and reduce trust in genuine news. We divide false information into two categories: unintentional false information, also known as misinformation; and intentionally false information, also known as disinformation and fake news. Given the increasing prevalence of misinformation, it is imperative to address its dissemination on social media platforms. This survey focuses on six key aspects related to misinformation: 1) clarify the definition of misinformation to differentiate it from intentional forms of false information; 2) categorize proposed approaches to manage misinformation into three types: detection, verification, and mitigation; 3) review the platforms and languages for which these techniques have been proposed and tested; 4) describe the specific features that are considered in each category; 5) compare public datasets created to address misinformation and categorize into prelabeled content-only datasets and those including users and their connections; and 6) survey fact-checking websites that can be used to verify the accuracy of information. This survey offers a comprehensive and unprecedented review of misinformation, integrating various methodological approaches, datasets, and content-, user-, and network-based approaches, which will undoubtedly benefit future research in this field.
最长约 10秒,即可获得该文献文件

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
舟车靡从发布了新的文献求助10
1秒前
李健应助poletar采纳,获得10
2秒前
科目三应助向语堂采纳,获得10
3秒前
chorus发布了新的文献求助10
3秒前
wyc完成签到,获得积分10
3秒前
SMG发布了新的文献求助10
3秒前
科研通AI5应助heheha采纳,获得10
3秒前
Tu完成签到 ,获得积分10
4秒前
HBUCSS发布了新的文献求助10
5秒前
6秒前
6秒前
柚柚发布了新的文献求助10
6秒前
JamesPei应助priscilla采纳,获得10
6秒前
lzzk完成签到,获得积分10
7秒前
hym完成签到,获得积分10
7秒前
7秒前
Lagom完成签到,获得积分10
8秒前
英俊的铭应助阿珩采纳,获得10
8秒前
舟车靡从完成签到,获得积分10
8秒前
8秒前
奶油面包完成签到 ,获得积分10
9秒前
iedith018完成签到,获得积分10
9秒前
Cathy发布了新的文献求助10
9秒前
10秒前
10秒前
刘郁白完成签到,获得积分10
10秒前
11秒前
11秒前
11秒前
12秒前
可爱的函函应助Lagom采纳,获得10
12秒前
nlqwan完成签到,获得积分10
13秒前
落寞的傲云完成签到,获得积分10
13秒前
橘子的海完成签到 ,获得积分10
14秒前
HBUCSS完成签到,获得积分20
14秒前
14秒前
iedith018发布了新的文献求助30
15秒前
小蘑菇关注了科研通微信公众号
16秒前
poletar完成签到,获得积分10
16秒前
英俊书雪发布了新的文献求助10
17秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Structural Load Modelling and Combination for Performance and Safety Evaluation 1000
Conference Record, IAS Annual Meeting 1977 820
England and the Discovery of America, 1481-1620 600
電気学会論文誌D(産業応用部門誌), 141 巻, 11 号 510
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3572963
求助须知:如何正确求助?哪些是违规求助? 3143128
关于积分的说明 9450156
捐赠科研通 2844589
什么是DOI,文献DOI怎么找? 1563562
邀请新用户注册赠送积分活动 731886
科研通“疑难数据库(出版商)”最低求助积分说明 718701