亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Community Gifting and Recipients’ Engagement with Peers and Influencers: Evidence from Natural Experiments on Twitch

影响力营销 自然(考古学) 自然实验 心理学 业务 广告 医学 营销 历史 关系营销 病理 考古 市场营销管理
作者
Alexander Chaudhry,Yang Wang,Erya Ouyang
出处
期刊:Journal of Interactive Marketing [SAGE Publishing]
卷期号:60 (1): 83-99 被引量:2
标识
DOI:10.1177/10949968241257891
摘要

Community gifting, the phenomenon of donating digital goods to peers without selecting specific recipients, is one of live streaming's key social technologies for engaging online communities. In this study, the authors investigate the causal relationship between receiving a community gift and the recipient's subsequent social and monetary engagement behaviors by exploiting the randomization of recipient assignment on a popular live streaming platform, Twitch. They find that, relative to nonrecipients within a five-minute window of a community gifting event, community gift recipients exhibit a 69% chance of directing an additional message toward their peers, a 35% chance of directing an additional message toward the streamer, and a 5% chance of gifting an incremental subscription to the community. However, recipients are no more likely to tip the streamer. The authors apply computational linguistics methods to illustrate that recipients’ increased social engagement is accompanied by elevated sentiment and an increased likelihood of joining existing conversations. Finally, a series of moderator analyses show that recipients’ gifting behavior is less frequent when there are more gifting events prior to the focal community gift, enabling the recipient to hide. Moreover, the social engagement effect of receiving a community gift is greater when prior chatter is more voluminous and discontinuous, that is, when it is easier for the recipient to jump into the chat. We conclude that the spillovers to social engagement are more important than those to financial reciprocity given the positive feedback loop implied by our moderator analysis. Our results reveal how and when community gifting impacts audience engagement.
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
3秒前
12秒前
思源应助OK采纳,获得25
17秒前
小龙虾味火鸡面完成签到,获得积分10
18秒前
Yuang完成签到 ,获得积分10
21秒前
33秒前
osteoclast发布了新的文献求助10
34秒前
球球子完成签到,获得积分10
35秒前
jfkyt应助天宝采纳,获得30
36秒前
36秒前
39秒前
Hello应助awa606采纳,获得10
40秒前
零一秒发布了新的文献求助10
42秒前
42秒前
43秒前
欣欣完成签到 ,获得积分10
46秒前
46秒前
尉迟姿发布了新的文献求助10
51秒前
fengquan完成签到 ,获得积分10
51秒前
曾经小伙完成签到 ,获得积分10
54秒前
JamesPei应助osteoclast采纳,获得10
54秒前
1分钟前
田様应助零一秒采纳,获得10
1分钟前
1分钟前
Connell发布了新的文献求助10
1分钟前
1分钟前
GingerF举报zzx求助涉嫌违规
1分钟前
冰糖完成签到 ,获得积分10
1分钟前
1分钟前
尉迟姿完成签到,获得积分20
1分钟前
Connell完成签到,获得积分10
1分钟前
osteoclast发布了新的文献求助10
1分钟前
脑洞疼应助awa606采纳,获得10
1分钟前
dandan发布了新的文献求助10
1分钟前
1分钟前
1分钟前
天宝完成签到,获得积分10
1分钟前
1分钟前
思源应助osteoclast采纳,获得10
1分钟前
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
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 7281697
求助须知:如何正确求助?哪些是违规求助? 8902551
关于积分的说明 18833335
捐赠科研通 6953057
什么是DOI,文献DOI怎么找? 3207515
关于科研通互助平台的介绍 2377781
邀请新用户注册赠送积分活动 2182690