Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spread

IF 3.4 3区 管理学 0 INFORMATION SCIENCE & LIBRARY SCIENCE Library Hi Tech Pub Date : 2023-12-07 DOI:10.1108/lht-02-2023-0073
Xiao Meng, Chengjun Dai, Yifei Zhao, Yuan Zhou
{"title":"Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spread","authors":"Xiao Meng, Chengjun Dai, Yifei Zhao, Yuan Zhou","doi":"10.1108/lht-02-2023-0073","DOIUrl":null,"url":null,"abstract":"PurposeThis study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread.Design/methodology/approachThe authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method.FindingsResults show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality.Originality/valueThe influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.","PeriodicalId":47196,"journal":{"name":"Library Hi Tech","volume":"47 22","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2023-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Library Hi Tech","FirstCategoryId":"91","ListUrlMain":"https://doi.org/10.1108/lht-02-2023-0073","RegionNum":3,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"0","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

PurposeThis study aims to investigate the mechanism of the misinformation spread based on the elaboration likelihood model and the effects of four factors – emotion, topic, authority and richness – on the depth, breadth and structural virality of misinformation spread.Design/methodology/approachThe authors collected 2,514 misinformation microblogs and 142,006 reposts from Weibo, used deep learning methods to identify the emotions and topics of misinformation and extracted the structural characteristics of the spreading network using the network analysis method.FindingsResults show that misinformation has a smaller spread size and breadth than true news but has a similar spread depth and structural virality. The differential influence of emotions on the structural characteristics of misinformation propagation was found: sadness can promote the breadth of misinformation spread, anger can promote depth and disgust can promote depth and structural virality. In addition, the international topic, the number of followers, images and videos can significantly and positively influence the misinformation's spread size, depth, breadth and structural virality.Originality/valueThe influencing factors of the structural characteristics of misinformation propagation are clarified, which is helpful for the detection and management of misinformation.
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
深度、广度和结构病毒性:情感、话题、权威性和丰富性对错误信息传播的影响
目的基于细化似然模型,探讨错误信息传播的机制,以及情绪、话题、权威和丰富度四个因素对错误信息传播深度、广度和结构病毒性的影响。设计/方法/方法作者收集了2514条错误信息微博和142006条微博转发,使用深度学习方法识别错误信息的情绪和话题,并使用网络分析法提取传播网络的结构特征。研究结果表明,与真实新闻相比,错误信息的传播规模和广度较小,但传播深度和结构病毒性相似。情绪对错误信息传播结构特征的影响存在差异:悲伤可以促进错误信息传播的广度,愤怒可以促进错误信息传播的深度,厌恶可以促进错误信息传播的深度和结构病毒性。此外,国际话题、关注者数量、图片和视频可以显著正向影响错误信息的传播规模、深度、广度和结构病毒性。澄清了错误信息传播结构特征的影响因素,有助于错误信息的检测和管理。
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
Library Hi Tech
Library Hi Tech INFORMATION SCIENCE & LIBRARY SCIENCE-
CiteScore
8.30
自引率
44.10%
发文量
97
期刊介绍: ■Integrated library systems ■Networking ■Strategic planning ■Policy implementation across entire institutions ■Security ■Automation systems ■The role of consortia ■Resource access initiatives ■Architecture and technology ■Electronic publishing ■Library technology in specific countries ■User perspectives on technology ■How technology can help disabled library users ■Library-related web sites
期刊最新文献
From traditional to emerging technologies in supporting smart libraries. A bibliometric and thematic approach from 2013 to 2022 Digital reading: a bibliometric and visualization analysis Collective impression management and collective privacy concerns in co-owned information disclosure: the mediating role of relationship support and relationship risk Designing an axial code pattern for absorptive capacity of knowledge in academic libraries: examining the effect of individual and organizational learning Depth, breadth and structural virality: the influence of emotion, topic, authority and richness on misinformation spread
×
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