Hate in the Machine: Anti-Black and Anti-Muslim Social Media Posts as Predictors of Offline Racially and Religiously Aggravated Crime

National governments now recognize online hate speech as a pernicious social problem. In the wake of political votes and terror attacks, hate incidents online and offline are known to peak in tandem. This article examines whether an association exists between both forms of hate, independent of ‘trigger’ events. Using Computational Criminology that draws on data science methods, we link police crime, census and Twitter data to establish a temporal and spatial association between online hate speech that targets race and religion, and offline racially and religiously aggravated crimes in London over an eight-month period. The findings renew our understanding of hate crime as a process, rather than as a discrete event, for the digital age.

[1]  L. Bobo,et al.  EDUCATION AND POLITICAL TOLERANCE TESTING THE EFFECTS OF COGNITIVE SOPHISTICATION AND TARGET GROUP AFFECT , 1989 .

[2]  Ben Bowling,et al.  Racial Harassment and the Process of Victimization. Conceptual and Methodological Implications for the Local Crime Survey , 1993 .

[3]  D. Green,et al.  Defended Neighborhoods, Integration, and Racially Motivated Crime1 , 1998, American Journal of Sociology.

[4]  J. Wooldridge.  Distribution-free estimation of some nonlinear panel data models , 1999 .

[5]  W. Stephan,et al.  An Integrated Threat Theory of Prejudice , 2000 .

[6]  David J. Smith,et al.  Shame, Rage and Racist Violence , 2004 .

[7]  Racial diversity and hate crime incidents , 2004 .

[8]  Kay Neville,et al.  Virtually Criminal: Crime, Deviance and Regulation Online , 2008 .

[9]  Barbara Perry,et al.  Cyberhate: the globalization of hate , 2009 .

[10]  P. Allison.  Fixed Effects Regression Models , 2009 .

[11]  C. Greer,et al.  We Predict a Riot?Public Order Policing, New Media Environments and the Rise of the Citizen Journalist , 2010 .

[12]  Robert J. Sampson,et al.  Great American City: Chicago and the Enduring Neighborhood Effect , 2012 .

[13]  Colin Roberts,et al.  Understanding who commits hate crimes and why they do it , 2013 .

[14]  Peter Burnap,et al.  Policing cyber-neighbourhoods: tension monitoring and social media networks , 2013 .

[15]  Jasmin Tregidga,et al.  Hate Crime Victimization in Wales Psychological and Physical Impacts Across Seven Hate Crime Victim Types , 2014 .

[16]  Stephen Machin,et al.  Hate Crime in the Wake of Terror Attacks , 2014 .

[17]  Jack Greig-Midlane.  Changing the beat? The impact of austerity on the neighbourhood policing workforce , 2014 .

[18]  Omer F. Rana,et al.  International Journal of Parallel, Emergent and Distributed Systems Cosmos: towards an Integrated and Scalable Service for Analysing Social Media on Demand Cosmos: towards an Integrated and Scalable Service for Analysing Social Media on Demand , 2022 .

[19]  Irene Zempi,et al.  ‘I Will Blow Your Face OFF’—VIRTUAL and Physical World Anti-muslim Hate Crime , 2015 .

[20]  Graham Farrell,et al.  Police performance measurement: an annotated bibliography , 2015 .

[21]  Martin A. Andresen,et al.  Spatio-temporal crime hotspots and the ambient population , 2015 .

[22]  Matthew Leighton Williams,et al.  Cyber Hate Speech on Twitter: An Application of Machine Classification and Statistical Modeling for Policy and Decision Making , 2015 .

[23]  Ofcom,et al.  Children and parents: media use and attitudes report , 2015 .

[24]  Renaud Lambiotte,et al.  Predicting links in ego-networks using temporal information , 2015, EPJ Data Science.

[25]  Lyria Bennett Moses,et al.  Making Sense of Big Data for Security , 2016 .

[26]  M. Williams,et al.  Cyber-hate on social media in the aftermath of Woolwich , 2015 .

[27]  Pete Burnap,et al.  Us and them: identifying cyber hate on Twitter across multiple protected characteristics , 2016, EPJ Data Science.

[28]  M. Williams,et al.  Crime sensing with big data: the affordances and limitations of using open source communications to estimate crime patterns , 2016 .

[29]  M. Eyre,et al.  Influences and vulnerabilities in radicalised lone-actor terrorists , 2016 .

[30]  Joshua A. Tucker,et al.  Emotion shapes the diffusion of moralized content in social networks , 2017, Proceedings of the National Academy of Sciences.

[31]  Jesse M. Shapiro,et al.  Greater Internet use is not associated with faster growth in political polarization among US demographic groups , 2017, Proceedings of the National Academy of Sciences.

[32]  Pekka Räsänen,et al.  Exposure to Online Hate in Four Nations: A Cross-National Consideration , 2017 .

[33]  Cass R. Sunstein,et al.  #Republic: Divided Democracy in the Age of Social Media , 2017 .

[34]  M. Williams,et al.  Towards an Ethical Framework for Publishing Twitter Data in Social Research: Taking into Account Users’ Views, Online Context and Algorithmic Estimation , 2017, Sociology.

[35]  Mareile Kaufmann,et al.  Predictive Policing and the Politics of Patterns , 2018, The British Journal of Criminology.

[36]  Taylor W. Brown,et al.  Exposure to opposing views on social media can increase political polarization , 2018, Proceedings of the National Academy of Sciences.

[37]  Grant Blank,et al.  The echo chamber is overstated: the moderating effect of political interest and diverse media , 2018 .

[38]  Carlo Schwarz,et al.  From Hashtag to Hate Crime: Twitter and Anti-Minority Sentiment , 2019, American Economic Journal: Applied Economics.

[39]  M. Williams,et al.  Hatred behind the screens: A report on the rise of online hate speech , 2019 .

[40]  Karsten Müller,et al.  Fanning the Flames of Hate: Social Media and Hate Crime , 2020, Journal of the European Economic Association.