Projects

HateLab Dashboard

Funded by the Economic and Social Research Council (part of UKRI) and the Alfred Landecker Foundation between 2017 and 2023, this grant supports the development of the HateLab Dashboard which is provided free of charge to civil society organisations that do not have the resources to routinely monitor and counter online hate speech and divisive […]

Understanding [Online/Offline] Society: Linking Surveys with Twitter Data

Funded from 2020 to 2024, this project examines the link between the expression of prejudice and hate in online and offline settings.

Hate Crime After Brexit

This project is a partnership between HateLab and the Behavioural Insights Team (BIT). Funded between 2019 and 2022, the project will link multiple hate crime datasets in the UK, allowing for causal inferences to be made.  A new linked dataset, incorporating both offline and online measures, will allow us to determine if events, like the Brexit […]

Understanding Online Hate Speech as a Motivator for Hate Crime

Funded between 2016 and 2019, this project will investigate the utility of Twitter data for understanding what types, for whom, and where online hate speech acts a ‘signature’ of offline hate crime. The study will develop a statistical model that links anonymous aggregate online hate speech and offline hate crimes, using tweets and reported hate crimes […]

Hate Speech and Social Media

Funded between 2013 and 2014, this project developed a range of machine learning classifiers designed to identify online hate speech across the protected characteristics of race, religion, sexual orientation and disability.  These classifiers were used in the first study of online hate speech produced in the aftermath of a terrorist event. Using Big Data to […]

Social Media and Prediction: Crime Sensing, Data Integration and Statistical Modelling

This project ran between 2013 and 2015, and aimed to test if social media data could be used to  estimate crime patterns at an aggregate level.  Data were collected over 12 months generating 180 million geocoded tweets and close to 600,000 Metropolitan Police recorded crime incidents.  The ethics of using social media in crime and security […]