"The Strength of Weak Ties" Varies Across Viral Channels

Shan Huang, Yuan Yuan, Yi Ji
{"title":"\"The Strength of Weak Ties\" Varies Across Viral Channels","authors":"Shan Huang, Yuan Yuan, Yi Ji","doi":"arxiv-2408.03579","DOIUrl":null,"url":null,"abstract":"The diffusion of novel information through social networks is essential for\ndismantling echo chambers and promoting innovation. Our study examines how two\nmajor types of viral channels, specifically Direct Messaging (DM) and\nBroadcasting (BC), impact the well-known \"strength of weak ties\" in\ndisseminating novel information across social networks. We conducted a\nlarge-scale empirical analysis, examining the sharing behavior of 500,000 users\nover a two-month period on a major social media platform. Our results suggest a\ngreater capacity for DM to transmit novel information compared to BC, although\nDM typically involves stronger ties. Furthermore, the \"strength of weak ties\"\nis only evident in BC, not in DM where weaker ties do not transmit\nsignificantly more novel information. Our mechanism analysis indicates that the\ncontent selection by both senders and recipients, contingent on tie strength,\ncontributes to the observed differences between these two channels. These\nfindings expand both our understanding of contemporary weak tie theory and our\nknowledge of how to disseminate novel information in social networks.","PeriodicalId":501273,"journal":{"name":"arXiv - ECON - General Economics","volume":"26 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-08-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - ECON - General Economics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2408.03579","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

The diffusion of novel information through social networks is essential for dismantling echo chambers and promoting innovation. Our study examines how two major types of viral channels, specifically Direct Messaging (DM) and Broadcasting (BC), impact the well-known "strength of weak ties" in disseminating novel information across social networks. We conducted a large-scale empirical analysis, examining the sharing behavior of 500,000 users over a two-month period on a major social media platform. Our results suggest a greater capacity for DM to transmit novel information compared to BC, although DM typically involves stronger ties. Furthermore, the "strength of weak ties" is only evident in BC, not in DM where weaker ties do not transmit significantly more novel information. Our mechanism analysis indicates that the content selection by both senders and recipients, contingent on tie strength, contributes to the observed differences between these two channels. These findings expand both our understanding of contemporary weak tie theory and our knowledge of how to disseminate novel information in social networks.
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
不同病毒渠道的 "弱关系强度 "各不相同
通过社交网络传播新信息对于消除回音室和促进创新至关重要。我们的研究探讨了两种主要的病毒式传播渠道,特别是直接消息(DM)和广播(BC),是如何影响众所周知的 "弱关系强度 "在社交网络中传播新信息的。我们进行了大规模的实证分析,研究了一个主要社交媒体平台上 50 万用户在两个月内的分享行为。我们的结果表明,与 BC 相比,DM 传播新信息的能力更强,尽管 DM 通常涉及更强的联系。此外,"弱关系的力量 "只在 BC 中明显,而在 DM 中并不明显,因为在 DM 中,弱关系传递的新信息并没有显著增加。我们的机制分析表明,发送者和接收者根据纽带强度对内容的选择导致了这两种渠道之间的差异。这些发现拓展了我们对当代弱纽带理论的理解,也拓展了我们对如何在社交网络中传播新信息的认识。
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
It depends: Varieties of defining growth dependence Experimental Evidence That Conversational Artificial Intelligence Can Steer Consumer Behavior Without Detection Cognitive Hierarchy in Day-to-day Network Flow Dynamics The long-term human capital and health impacts of a pollution reduction programme What Does ChatGPT Make of Historical Stock Returns? Extrapolation and Miscalibration in LLM Stock Return Forecasts
×
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