The impact of emotional expressions on the popularity of discussion threads: evidence from Reddit

人气 心理学 计算机科学 万维网 多媒体 认知心理学 社会心理学
作者
Mahdi Abouei,Nima Kordzadeh,Maryam Ghasemaghaei,Basil Zia Khan
出处
期刊:Internet Research [Emerald Publishing Limited]
被引量:4
标识
DOI:10.1108/intr-12-2023-1187
摘要

Purpose Users contribute to online communities by posting and responding to discussion threads. Nonetheless, only a small fraction of threads gain popularity and shape community discourse. Prior studies have identified several factors driving thread popularity; however, despite their prevalence, the role of emotional expressions within discussion threads remains understudied. This study addresses this gap by investigating the impact of thread starters’ valence and embedded discrete emotions of anger, anxiety and sadness on thread popularity, drawing on the negativity bias and the emotion-as-social-information theories. Design/methodology/approach Using two samples from Reddit, this study employs negative binomial regression analysis to examine the hypothesized relationships. Findings The results demonstrate that negativity in thread starters significantly influences thread popularity; however, the expression of discrete emotions impacts popularity variously. In some contexts, such as COVID-19 vaccination subreddits, embedded anger in thread starters decreases thread popularity, whereas anxiety and sad expressions enhance it. In other contexts, such as professional discussions (e.g. r/Medicine subreddit), anger and anxiety expressions increase thread popularity, while sad expressions have no significant influence. Research limitations/implications The study is limited by its focus on specific emotions and contexts. Future research could examine a broader range of emotions, post-content modalities and the impact of cultural and linguistic differences. Originality/value This study contributes to theory by offering a new definition of thread popularity and enhancing our understanding of the impact of emotions in online discussions. It also provides practical implications for online community members and moderators seeking to promote discussion posts that help achieve community goals.
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
刚刚
2秒前
4秒前
韩.发布了新的文献求助10
7秒前
11秒前
独指蜗牛完成签到 ,获得积分10
14秒前
秦秦秦发布了新的文献求助10
15秒前
快乐的千兰完成签到 ,获得积分10
21秒前
秦秦秦完成签到,获得积分20
22秒前
不信人间有白头完成签到 ,获得积分10
24秒前
29秒前
风信子deon01发布了新的文献求助200
31秒前
TTT完成签到,获得积分10
31秒前
JiaMX应助韩.采纳,获得10
34秒前
CJW完成签到 ,获得积分10
38秒前
黑咖啡完成签到,获得积分10
38秒前
45秒前
一只特立独行的猪完成签到,获得积分10
47秒前
48秒前
gxzsdf完成签到 ,获得积分10
52秒前
hellozijia完成签到,获得积分10
55秒前
56秒前
loong完成签到,获得积分10
1分钟前
传奇3应助科研通管家采纳,获得10
1分钟前
毛豆应助风清扬采纳,获得10
1分钟前
Copyright应助科研通管家采纳,获得10
1分钟前
cdercder应助科研通管家采纳,获得10
1分钟前
蔡从安发布了新的文献求助10
1分钟前
manmanzhong完成签到 ,获得积分10
1分钟前
1分钟前
今天看文献了没完成签到 ,获得积分10
1分钟前
刘家那个宝完成签到,获得积分20
1分钟前
1分钟前
尚奇发布了新的文献求助10
1分钟前
zyq发布了新的文献求助10
1分钟前
谦谦呆滴完成签到 ,获得积分10
1分钟前
钉钉完成签到 ,获得积分10
1分钟前
casey完成签到 ,获得积分10
1分钟前
悬铃木完成签到,获得积分10
1分钟前
Jerry完成签到 ,获得积分10
1分钟前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(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
Molecular Mechanisms of Photosynthesis, 4th Edition 1000
Organic Reactions, Volume 116 1000
Current concepts in cutaneous toxicity : proceedings of the Fourth Conference on Cutaneous Toxicity, Washington, D.C., May 9-11, 1979 1000
The recovery-stress questionnaires : user manual 800
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 7257699
求助须知:如何正确求助?哪些是违规求助? 8879580
关于积分的说明 18757472
捐赠科研通 6938054
什么是DOI,文献DOI怎么找? 3201146
关于科研通互助平台的介绍 2375264
邀请新用户注册赠送积分活动 2176952