Seems Legit: An Investigation of the Assessing and Sharing of Unverifiable Messages on Online Social Networks

可靠性 通信源 有用性 社会化媒体 互联网隐私 计算机科学 广告 计算机安全 人际交往 公共关系 社会心理学 业务 万维网 心理学 政治学 电信 法学
作者
Jackie London,Siyuan Li,Heshan Sun
出处
期刊:Information Systems Research [Institute for Operations Research and the Management Sciences]
卷期号:33 (3): 978-1001 被引量:24
标识
DOI:10.1287/isre.2021.1095
摘要

Unverifiable messages abound on the Internet. As policymakers and social media platforms grapple with the spread of misleading, false, or otherwise harmful messages, it is important they better understand why users share messages they cannot verify. This article reports on two studies that shed light on such issues. In the first study, the authors leverage secondary data collected from Twitter to show that true and false unverifiable messages have different characteristics and that those characteristics are predictive of retweeting. In the second study, they conduct a controlled experiment to explain why such characteristics influence resharing. Jointly, these studies show that leaks (i.e., true-but-unverifiable) tend to be more plausible, more vivid, and are sent by more credible senders than rumors (i.e., false-but-unverifiable). Further, the relationships among these variables is multiplicative such that the effects of vividness and sender credibility are strengthened for plausible and weakened for implausible messages. Finally, message recipients use these characteristics to determine whether an unverifiable message is novel and/or helpful. In sum, the authors find that social media users are likely to reshare unverifiable messages when they exhibit characteristics of plausibility, vividness, and sender credibility, which signal the novelty of helpfulness of the message.
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
Zongxin完成签到,获得积分10
刚刚
谦让问兰完成签到,获得积分10
刚刚
刚刚
传奇3应助科研通管家采纳,获得20
刚刚
Jasper应助科研通管家采纳,获得20
1秒前
1秒前
隐形曼青应助科研通管家采纳,获得10
1秒前
充电宝应助科研通管家采纳,获得10
1秒前
1秒前
1秒前
搜集达人应助科研通管家采纳,获得10
1秒前
星辰大海应助科研通管家采纳,获得10
1秒前
火绒草完成签到,获得积分10
1秒前
完美世界应助科研通管家采纳,获得10
1秒前
张欢馨应助科研通管家采纳,获得10
2秒前
Owen应助科研通管家采纳,获得10
2秒前
华仔应助迅速茹嫣采纳,获得10
2秒前
小蘑菇应助科研通管家采纳,获得10
2秒前
2秒前
隐形曼青应助科研通管家采纳,获得10
2秒前
molihuakai应助科研通管家采纳,获得10
2秒前
2秒前
Jasper应助科研通管家采纳,获得10
3秒前
烟花应助科研通管家采纳,获得30
3秒前
高大的凝阳完成签到,获得积分10
3秒前
酷波er应助科研通管家采纳,获得10
3秒前
orixero应助科研通管家采纳,获得10
3秒前
田様应助smg1307采纳,获得10
3秒前
Ava应助科研通管家采纳,获得10
3秒前
3秒前
斯文败类应助科研通管家采纳,获得10
4秒前
小可不怕困难完成签到,获得积分10
4秒前
SciGPT应助科研通管家采纳,获得10
4秒前
赘婿应助儒雅的凝旋采纳,获得10
4秒前
酷波er应助科研通管家采纳,获得10
4秒前
老爷爷遨游世界完成签到,获得积分10
4秒前
小马甲应助科研通管家采纳,获得10
4秒前
ydygdy发布了新的文献求助10
4秒前
Hello应助科研通管家采纳,获得10
4秒前
典雅冰双完成签到,获得积分10
4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
An Introduction to Foreign Language Learning and Teaching 750
The Oxford Handbook of Digital Classical Studies 550
China Pluperfect I: Epistemology of Past and Outside in Chinese Art 520
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
The fast track to determining transfer functions of linear circuits: The student guide 500
The Analytical and Numerical Solution of Electric and Magnetic Fields 500
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7621169
求助须知:如何正确求助?哪些是违规求助? 9196128
关于积分的说明 19712082
捐赠科研通 7192655
什么是DOI,文献DOI怎么找? 3272694
关于科研通互助平台的介绍 2435199
邀请新用户注册赠送积分活动 2267870