打破沉默：网络社会运动对性别暴力的影响

IF 2.3 3区经济学 Q2 ECONOMICS

European Journal of Political Economy Pub Date : 2024-09-17 DOI:10.1016/j.ejpoleco.2024.102598

Michele Battisti , Ilpo Kauppinen , Britta Rude

{"title":"打破沉默：网络社会运动对性别暴力的影响","authors":"Michele Battisti , Ilpo Kauppinen , Britta Rude","doi":"10.1016/j.ejpoleco.2024.102598","DOIUrl":null,"url":null,"abstract":"<div><div>This paper investigates the impact of online social movements against gender-based violence (GBV) on GBV-related crime. Using machine learning techniques, we construct a novel dataset tracking the prevalence of GBV-related social media movements on Twitter from 2014 to 2017. Matching this data with weekly FBI crime reports across U.S. states we estimate the effect of tweets related to GBV on GBV-related reported crime. Our econometric approach aims to mitigate concerns of spurious correlations arising from common trends in Twitter usage and crime. We estimate national level regressions with differential effects on GBV-related and non-GBV-related crimes within the same week, as well as regressions at the state-by-week level controlling for state and month fixed effects. Our main findings reveal that GBV-related tweets led to a small but significant short-term decrease in GBV-related crime reports. Further analysis suggests that the decrease is attributable to a reduction in actual crime rather than in reporting behavior.</div></div>","PeriodicalId":51439,"journal":{"name":"European Journal of Political Economy","volume":"85 ","pages":"Article 102598"},"PeriodicalIF":2.3000,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Breaking the silence: The effects of online social movements on gender-based violence\",\"authors\":\"Michele Battisti , Ilpo Kauppinen , Britta Rude\",\"doi\":\"10.1016/j.ejpoleco.2024.102598\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This paper investigates the impact of online social movements against gender-based violence (GBV) on GBV-related crime. Using machine learning techniques, we construct a novel dataset tracking the prevalence of GBV-related social media movements on Twitter from 2014 to 2017. Matching this data with weekly FBI crime reports across U.S. states we estimate the effect of tweets related to GBV on GBV-related reported crime. Our econometric approach aims to mitigate concerns of spurious correlations arising from common trends in Twitter usage and crime. We estimate national level regressions with differential effects on GBV-related and non-GBV-related crimes within the same week, as well as regressions at the state-by-week level controlling for state and month fixed effects. Our main findings reveal that GBV-related tweets led to a small but significant short-term decrease in GBV-related crime reports. Further analysis suggests that the decrease is attributable to a reduction in actual crime rather than in reporting behavior.</div></div>\",\"PeriodicalId\":51439,\"journal\":{\"name\":\"European Journal of Political Economy\",\"volume\":\"85 \",\"pages\":\"Article 102598\"},\"PeriodicalIF\":2.3000,\"publicationDate\":\"2024-09-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"European Journal of Political Economy\",\"FirstCategoryId\":\"96\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0176268024001009\",\"RegionNum\":3,\"RegionCategory\":\"经济学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"ECONOMICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"European Journal of Political Economy","FirstCategoryId":"96","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0176268024001009","RegionNum":3,"RegionCategory":"经济学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ECONOMICS","Score":null,"Total":0}

引用次数: 0

摘要

本文研究了反对性别暴力（GBV）的网络社交运动对性别暴力相关犯罪的影响。利用机器学习技术，我们构建了一个新的数据集，追踪 2014 年至 2017 年 Twitter 上与 GBV 相关的社交媒体运动的流行情况。将该数据与美国各州的联邦调查局每周犯罪报告相匹配，我们估算了与性别暴力相关的推文对性别暴力相关犯罪报告的影响。我们的计量经济学方法旨在减轻人们对推特使用和犯罪的共同趋势所产生的虚假相关性的担忧。我们估算了国家层面的回归结果，其中包括对同一周内与 GBV 相关和非 GBV 相关犯罪的不同影响，以及控制了州和月固定效应的逐周回归结果。我们的主要研究结果表明，与性别暴力相关的推文导致与性别暴力相关的犯罪报告在短期内出现了小幅但显著的下降。进一步的分析表明，这种下降是由于实际犯罪的减少而非报告行为的减少。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Breaking the silence: The effects of online social movements on gender-based violence

This paper investigates the impact of online social movements against gender-based violence (GBV) on GBV-related crime. Using machine learning techniques, we construct a novel dataset tracking the prevalence of GBV-related social media movements on Twitter from 2014 to 2017. Matching this data with weekly FBI crime reports across U.S. states we estimate the effect of tweets related to GBV on GBV-related reported crime. Our econometric approach aims to mitigate concerns of spurious correlations arising from common trends in Twitter usage and crime. We estimate national level regressions with differential effects on GBV-related and non-GBV-related crimes within the same week, as well as regressions at the state-by-week level controlling for state and month fixed effects. Our main findings reveal that GBV-related tweets led to a small but significant short-term decrease in GBV-related crime reports. Further analysis suggests that the decrease is attributable to a reduction in actual crime rather than in reporting behavior.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

European Journal of Political Economy Multiple-

CiteScore

3.40

自引率

10.00%

发文量

106

期刊介绍： The aim of the European Journal of Political Economy is to disseminate original theoretical and empirical research on economic phenomena within a scope that encompasses collective decision making, political behavior, and the role of institutions. Contributions are invited from the international community of researchers. Manuscripts must be published in English. Starting 2008, the European Journal of Political Economy is indexed in the Social Sciences Citation Index published by Thomson Scientific (formerly ISI).