The influence of emotions on online information sharing behavior

信息共享 情感(语言学) 社会化媒体 信息过载 独创性 心理学 社会化 价值(数学) 互联网隐私 社会心理学 计算机科学 万维网 沟通 机器学习 创造力
作者
Amal Dabbous,Karine Aoun Barakat
出处
期刊:Journal of Systems and Information Technology [Emerald (MCB UP)]
卷期号:25 (4): 341-363 被引量:7
标识
DOI:10.1108/jsit-03-2022-0060
摘要

Purpose The spread of fake news represents a serious threat to consumers, companies and society. Previous studies have linked emotional arousal to an increased propensity to spread information and a decrease in people’s ability to recognize fake news. However, the effect of an individual’s emotional state on fake news sharing remains unclear, particularly during periods of severe disruptions such as pandemics. This study aims to fill the gap in the literature by elucidating how heightened emotions affect fake news sharing behavior. Design/methodology/approach To validate the conceptual model, this study uses a quantitative approach. Data were collected from 212 online questionnaires and then analyzed using the structural equation modeling technique. Findings Results of this study show that positive emotions have indirect effects on fake news sharing behavior by allowing users to view the quality of information circulating on social media in a more positive light, and increasing their socialization behavior leading them to share fake news. Negative emotions indirectly impact fake news sharing by affecting users’ information overload and reinforcing prior beliefs, which in turn increases fake news sharing. Research limitations/implications This study identifies several novel associations between emotions and fake news sharing behavior and offers a theoretical lens that can be used in future studies. It also provides several practical implications on the prevention mechanism that can counteract the dissemination of fake news. Originality/value This study investigates the impact of individuals’ emotional states on fake news sharing behavior, and establishes four user-centric antecedents to this sharing behavior. By focusing on individuals’ emotional state, cognitive reaction and behavioral response, it is among the first, to the best of the authors’ knowledge, to offer a multidimensional understanding of individuals’ interaction with news that circulates on social media.
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
1秒前
大个应助晴朗采纳,获得10
1秒前
1秒前
田様应助海苔噗噗采纳,获得10
3秒前
在水一方应助摸鱼鱼采纳,获得10
3秒前
所所应助wei采纳,获得10
3秒前
肥鹤完成签到,获得积分20
3秒前
摸鱼划水完成签到,获得积分10
3秒前
3秒前
4秒前
量子星尘发布了新的文献求助10
5秒前
NexusExplorer应助jady采纳,获得10
6秒前
饱满的毛巾完成签到,获得积分10
7秒前
orixero应助lilixia采纳,获得10
7秒前
天天快乐应助憨豆采纳,获得10
9秒前
Jerryluo发布了新的文献求助10
10秒前
南京发布了新的文献求助10
11秒前
11秒前
风清扬发布了新的文献求助10
12秒前
JamesPei应助lucky采纳,获得10
12秒前
DrLiu完成签到,获得积分10
13秒前
啥也不会完成签到,获得积分10
13秒前
14秒前
bjbmtxy应助科研通管家采纳,获得10
15秒前
orixero应助科研通管家采纳,获得10
15秒前
8R60d8应助科研通管家采纳,获得10
15秒前
Owen应助科研通管家采纳,获得10
15秒前
桐桐应助科研通管家采纳,获得10
15秒前
8R60d8应助科研通管家采纳,获得10
15秒前
15秒前
Hello应助科研通管家采纳,获得10
15秒前
15秒前
今后应助科研通管家采纳,获得10
15秒前
小蘑菇应助科研通管家采纳,获得10
15秒前
稀土完成签到,获得积分10
15秒前
科目三应助科研通管家采纳,获得10
15秒前
15秒前
科研通AI6.3应助科研通管家采纳,获得100
15秒前
王景柯应助科研通管家采纳,获得10
16秒前
Lucas应助科研通管家采纳,获得10
16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
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Russian Politics Today: Stability and Fragility (2nd Edition) 500
Death Without End: Korea and the Thanatographics of War 500
Der Gleislage auf der Spur 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6083352
求助须知:如何正确求助?哪些是违规求助? 7913580
关于积分的说明 16368490
捐赠科研通 5218448
什么是DOI,文献DOI怎么找? 2789925
邀请新用户注册赠送积分活动 1772906
关于科研通互助平台的介绍 1649333