On the Causal Relation between Users' Real-World Activities and their Affective Processes

Seyed Amin Mirlohi Falavarjani, E. Bagheri, Ssu Yu Zoe Chou, J. Jovanović, A. Ghorbani
{"title":"On the Causal Relation between Users' Real-World Activities and their Affective Processes","authors":"Seyed Amin Mirlohi Falavarjani, E. Bagheri, Ssu Yu Zoe Chou, J. Jovanović, A. Ghorbani","doi":"10.1145/3341161.3342918","DOIUrl":null,"url":null,"abstract":"Research in social network analytics has already extensively explored how engagement on online social networks can lead to observable effects on users' real-world behavior (e.g., changing exercising patterns or dietary habits), and their psychological states. The objective of our work in this paper is to investigate the flip-side and examine whether engaging in or disengaging from real-world activities would reflect itself in users' affective processes such as anger, anxiety, and sadness, as expressed in users' posts on online social media. We have collected data from Foursquare and Twitter and found that engaging in or disengaging from a real-world activity, such as frequenting at bars or stopping going to a gym, have direct impact on the users' affective processes. In particular, we report that engaging in a routine real-world activity leads to expressing less emotional content online, whereas the reverse is observed when users abandon a regular real-world activity.","PeriodicalId":403360,"journal":{"name":"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3341161.3342918","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

Research in social network analytics has already extensively explored how engagement on online social networks can lead to observable effects on users' real-world behavior (e.g., changing exercising patterns or dietary habits), and their psychological states. The objective of our work in this paper is to investigate the flip-side and examine whether engaging in or disengaging from real-world activities would reflect itself in users' affective processes such as anger, anxiety, and sadness, as expressed in users' posts on online social media. We have collected data from Foursquare and Twitter and found that engaging in or disengaging from a real-world activity, such as frequenting at bars or stopping going to a gym, have direct impact on the users' affective processes. In particular, we report that engaging in a routine real-world activity leads to expressing less emotional content online, whereas the reverse is observed when users abandon a regular real-world activity.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
论用户真实世界活动与情感过程之间的因果关系
社交网络分析方面的研究已经广泛探讨了参与在线社交网络如何对用户的现实行为(如改变锻炼方式或饮食习惯)及其心理状态产生可观察到的影响。我们在本文中的工作旨在从反面进行研究,探讨参与或脱离现实世界的活动是否会反映在用户的情感过程中,如愤怒、焦虑和悲伤,这些都会在用户在网络社交媒体上发布的帖子中表现出来。我们收集了来自 Foursquare 和 Twitter 的数据,发现参与或脱离现实世界的活动(如经常去酒吧或停止去健身房)会对用户的情感过程产生直接影响。特别是,我们报告称,参与现实世界中的常规活动会导致在网上表达较少的情感内容,而当用户放弃现实世界中的常规活动时,则会观察到相反的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Neural-Brane: An inductive approach for attributed network embedding Customer Recommendation Based on Profile Matching and Customized Campaigns in On-Line Social Networks Characterizing and Detecting Livestreaming Chatbots Two Decades of Network Science: as seen through the co-authorship network of network scientists Show me your friends, and I will tell you whom you vote for: Predicting voting behavior in social networks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1