HateLab is a global hub for data and insight into hate crime and speech. We use data science methods, including ethical forms of AI, to generate data on the problem of hate both offline and online. The Online Hate Speech Dashboard has has been developed by academics with trusted partners to provide aggregate trends over time and space. The Data tab provides examples of outputs from the Dashboard. We are funded by the Economic and Social Research Council (ESRC), part of UK Research and Innovation (UKRI).
ESRC and US DoJ Award Grants to Establish HateLab
HateLab will focus on using data science methods, including ethical forms of AI, to generate insights into the problem of hate both offline and online.
New Grant to Study Brexit-related Hate Crime
HateLab has been awarded a grant under the Economic and Social Research Council's Governance After Brexit call
HateLab findings on BBC One’s Panorama documentary on Brexit-related Hate Crime
HateLab research forms key evidence in BBC Panorama’s ‘Hate on the Streets’
Police need to focus on first 24 hours following terrorist event to ‘de-escalate’ online hate speech
Intervention by police within the first 24 hours of a terrorist event could be key to de-escalating and halting the spread of cyberhate, according to a new study by HateLab
HateLab nominated for a National Hate Crime Award
HateLab shortlisted to one of three nominees for the inaugural National Hate Crime Awards.
HateLab wins Prestigious Grant from US Department of Justice
Partnership between HateLab and the RAND Corporation awarded National Institute for Justice grant
Williams, M. L. and Burnap, P. , (2016)
Cyberhate on social media in the aftermath of Woolwich: A case study in computational criminology and big data.
British Journal of Criminology 56(2), pp. 211-238.
Burnap, P. and Williams, M. L., (2016)
Us and them: identifying cyber hate on Twitter across multiple protected characteristics.
EPJ Data Science 5, article number: 11.
Burnap, P., Williams, M. L. et al., (2014)
Tweeting the Terror: Modelling the Social Media Reaction to the Woolwich Terrorist Attack.
Social Network Analysis and Mining 4, pp. 206.
Williams, M. L., Burnap, P., and Ozalp, S., (2018)
Antisemitic Content on Twitter
CST Research Report
Burnap, P. and Williams, M. L., (2015)
Cyber hate speech on Twitter: An application of machine classification and statistical modeling for policy and decision making.
Policy & Internet 7(2), pp. 223-242.