• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

网络言论与群体冲突:来自印度的证据

Online speech and communal conflict: Evidence from India.

作者信息

Schutte Sebastian, Karell Daniel, Barrett Ryan

机构信息

Peace and Conflict Dynamics, Peace Research Institute Oslo, Hausmanns Gate 3, Oslo 0186, Norway.

Department of Sociology, Yale University, 493 College Street, New Haven, CT 06511, USA.

出版信息

PNAS Nexus. 2025 May 13;4(5):pgaf149. doi: 10.1093/pnasnexus/pgaf149. eCollection 2025 May.

DOI:10.1093/pnasnexus/pgaf149
PMID:40421005
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12103975/
Abstract

How does online speech affect offline attacks? While a growing literature has examined this link in right-wing violence in the West, much less is known about its importance in the religiously divided societies of the Global South. Furthermore, existing research has overwhelmingly focused on negative externalities of social media, while paying comparatively little attention to their conciliatory effects. We advance the scholarship in both of these areas by analyzing 22.4 million posts from Koo, an Indian social media network popular among India's Hindu nationalists. We combine these data with information on attacks on religious minorities in India from 2020 through 2022. We find that the frequency of hashtags with a Hindu-chauvinist connotation are associated with increased attacks on Muslims and Christians. We also find that the frequency of hashtags alluding to the overcoming of religious divisions is associated with fewer attacks. These results survive a battery of robustness checks and supplemental tests. Additionally, the observed relationships disappear during exogenous Internet outages, consistent with the effect being driven by online speech. Importantly, since the content we study is not overtly aggressive and conveys values rather than factual claims, it does not classify as hate speech, misinformation, or disinformation. This suggests that the scholarly debate on what kinds of online speech influence offline harm has to be broadened and that censorship and fact-checking can fall short of addressing online speech's negative consequences in religiously divided societies.

摘要

网络言论如何影响线下攻击行为?虽然越来越多的文献探讨了西方右翼暴力中这种联系,但对于其在全球南方宗教分裂社会中的重要性却知之甚少。此外,现有研究绝大多数都聚焦于社交媒体的负面外部效应,而相对较少关注其调解作用。我们通过分析印度社交媒体平台Koo上2240万条帖子推进了这两个领域的学术研究,Koo在印度的印度教民族主义者中颇受欢迎。我们将这些数据与2020年至2022年印度针对宗教少数群体的攻击信息相结合。我们发现,带有印度教沙文主义内涵的标签出现频率与针对穆斯林和基督徒的攻击增加有关。我们还发现,暗示克服宗教分裂的标签出现频率与攻击减少有关。这些结果在一系列稳健性检验和补充测试中都成立。此外,在外部互联网中断期间,观察到的关系消失了,这与该效应是由网络言论驱动的一致。重要的是,由于我们研究的内容并非公然具有攻击性,且传达的是价值观而非事实性主张,因此它不属于仇恨言论、错误信息或虚假信息。这表明,关于何种网络言论会影响线下伤害的学术辩论必须扩大,而且审查和事实核查可能不足以应对宗教分裂社会中网络言论的负面后果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/a13f9ee818d9/pgaf149f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/1a9f7f01052e/pgaf149f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/ab9edd28290b/pgaf149f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/95739162aac3/pgaf149f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/b92b41267813/pgaf149f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/a13f9ee818d9/pgaf149f5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/1a9f7f01052e/pgaf149f1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/ab9edd28290b/pgaf149f2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/95739162aac3/pgaf149f3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/b92b41267813/pgaf149f4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed0e/12103975/a13f9ee818d9/pgaf149f5.jpg

相似文献

1
Online speech and communal conflict: Evidence from India.网络言论与群体冲突:来自印度的证据
PNAS Nexus. 2025 May 13;4(5):pgaf149. doi: 10.1093/pnasnexus/pgaf149. eCollection 2025 May.
2
Exposure to hate in online and traditional media: A systematic review and meta-analysis of the impact of this exposure on individuals and communities.在网络和传统媒体中接触仇恨言论:对这种接触对个人和社区影响的系统评价与荟萃分析。
Campbell Syst Rev. 2025 Jan 16;21(1):e70018. doi: 10.1002/cl2.70018. eCollection 2025 Mar.
3
Illusory interparty disagreement: Partisans agree on what hate speech to censor but do not know it.虚幻的党派间分歧:党派人士对于审查何种仇恨言论达成了一致,但他们自己却不知道。
Proc Natl Acad Sci U S A. 2024 Sep 24;121(39):e2402428121. doi: 10.1073/pnas.2402428121. Epub 2024 Sep 16.
4
Offline events and online hate.线下活动与网络仇恨
PLoS One. 2023 Jan 25;18(1):e0278511. doi: 10.1371/journal.pone.0278511. eCollection 2023.
5
The Polarizing Impact of Political Disinformation and Hate Speech: A Cross-country Configural Narrative.
Inf Syst Front. 2023 Apr 17:1-26. doi: 10.1007/s10796-023-10390-w.
6
Decoding Digital Discourse Through Multimodal Text and Image Machine Learning Models to Classify Sentiment and Detect Hate Speech in Race- and Lesbian, Gay, Bisexual, Transgender, Queer, Intersex, and Asexual Community-Related Posts on Social Media: Quantitative Study.通过多模态文本和图像机器学习模型解码数字话语,以对社交媒体上与种族以及女同性恋、男同性恋、双性恋、跨性别者、酷儿、双性人及无性恋者群体相关帖子中的情感进行分类并检测仇恨言论:定量研究
J Med Internet Res. 2025 May 12;27:e72822. doi: 10.2196/72822.
7
Hindu-Muslim differentials in fertility and population growth in India: role of proximate variables.印度印度教徒与穆斯林在生育率和人口增长方面的差异:直接变量的作用
Artha Vijnana. 1984 Sep;26:189-216. doi: 10.21648/arthavij/1984/v26/i3/116369.
8
District-level religious composition and child health in India.印度的地区级宗教构成与儿童健康。
J Health Popul Nutr. 2022 May 12;41(1):19. doi: 10.1186/s41043-022-00298-7.
9
Temperature impacts on hate speech online: evidence from 4 billion geolocated tweets from the USA.温度对网络仇恨言论的影响:来自美国 40 亿条地理位置标记推文的证据。
Lancet Planet Health. 2022 Sep;6(9):e714-e725. doi: 10.1016/S2542-5196(22)00173-5.
10
Online interventions for reducing hate speech and cyberhate: A systematic review.减少仇恨言论和网络仇恨的在线干预措施:一项系统综述。
Campbell Syst Rev. 2022 May 25;18(2):e1243. doi: 10.1002/cl2.1243. eCollection 2022 Jun.

本文引用的文献

1
Theoretical foundations and limits of word embeddings: What types of meaning can they capture?词嵌入的理论基础与局限性:它们能捕捉哪些类型的意义?
Sociol Methods Res. 2024 Nov;53(4):1753-1793. doi: 10.1177/00491241221140142. Epub 2022 Dec 7.
2
The effects of Facebook and Instagram on the 2020 election: A deactivation experiment.脸书和照片墙对 2020 年选举的影响:一次停用实验。
Proc Natl Acad Sci U S A. 2024 May 21;121(21):e2321584121. doi: 10.1073/pnas.2321584121. Epub 2024 May 13.
3
Fake news, disinformation and misinformation in social media: a review.
社交媒体中的假新闻、虚假信息与错误信息:综述
Soc Netw Anal Min. 2023;13(1):30. doi: 10.1007/s13278-023-01028-5. Epub 2023 Feb 9.
4
Social media and adolescent well-being in the Global South.社交媒体与全球南方青少年的福祉
Curr Opin Psychol. 2022 Aug;46:101318. doi: 10.1016/j.copsyc.2022.101318. Epub 2022 Mar 10.
5
A Monte Carlo analysis of false inference in spatial conflict event studies.蒙特卡洛分析在空间冲突事件研究中的虚假推断。
PLoS One. 2022 Apr 5;17(4):e0266010. doi: 10.1371/journal.pone.0266010. eCollection 2022.
6
A focus on the spread of the delta variant of SARS-CoV-2 in India.关注严重急性呼吸综合征冠状病毒2(SARS-CoV-2)Delta变种在印度的传播情况。
Indian J Med Res. 2021 May;153(5&6):537-541. doi: 10.4103/ijmr.ijmr_1353_21.
7
Testing the effects of Facebook usage in an ethnically polarized setting.在种族极化的环境下测试 Facebook 使用的效果。
Proc Natl Acad Sci U S A. 2021 Jun 22;118(25). doi: 10.1073/pnas.2022819118.
8
COVID-19, Cities and Urban Informal Workers: India in Comparative Perspective.新冠疫情、城市与城市非正规就业者:印度的比较视角
Indian J Labour Econ. 2020;63(Suppl 1):41-46. doi: 10.1007/s41027-020-00254-1. Epub 2020 Sep 23.
9
India under COVID-19 lockdown.处于新冠疫情封锁下的印度。
Lancet. 2020 Apr 25;395(10233):1315. doi: 10.1016/S0140-6736(20)30938-7.
10
Moralization in social networks and the emergence of violence during protests.社交网络中的道德化与抗议活动中的暴力行为的出现。
Nat Hum Behav. 2018 Jun;2(6):389-396. doi: 10.1038/s41562-018-0353-0. Epub 2018 May 23.