Cyber hate speech on twitter: An application of machine classification and statistical modeling for policy and decision making P Burnap, ML Williams Policy & Internet 7 (2), 223-242, 2015 | 795 | 2015 |
Researching online populations: the use of online focus groups for social research K Stewart, M Williams Qualitative Research 5 (4), 395-416, 2005 | 692 | 2005 |
Towards an ethical framework for publishing Twitter data in social research: taking into account users’ views, online context and algorithmic estimation ML Williams, P Burnap, L Sloan Sociology, 2017 | 487 | 2017 |
Us and them: identifying cyber hate on Twitter across multiple protected characteristics P Burnap, ML Williams EPJ Data science 5, 1-15, 2016 | 477 | 2016 |
Who Tweets? Deriving the Demographic Characteristics of Age, Occupation and Social Class from Twitter User Meta-Data L Sloan, J Morgan, P Burnap, ML Williams PLOS ONE 10 (3), 2015 | 472 | 2015 |
Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack P Burnap, ML Williams, L Sloan, O Rana, W Housley, A Edwards, ... Social Network Analysis and Mining 4, 1-14, 2014 | 332 | 2014 |
140 characters to victory?: Using Twitter to predict the UK 2015 General Election P Burnap, R Gibson, L Sloan, R Southern, M Williams Electoral Studies 41, 230-233, 2016 | 308 | 2016 |
Detecting tension in online communities with computational Twitter analysis P Burnap, OF Rana, N Avis, M Williams, W Housley, A Edwards, J Morgan, ... Technological Forecasting and Social Change 95, 96-108, 2015 | 281 | 2015 |
Hate in the machine: Anti-Black and Anti-Muslim social media posts as predictors of offline racially and religiously aggravated crime ML Williams, P Burnap, A Javed, H Liu, S Ozalp The British Journal of Criminology 60 (1), 93-117, 2020 | 277 | 2020 |
Cyberhate on social media in the aftermath of Woolwich: A case study in computational criminology and big data ML Williams, P Burnap British Journal of Criminology 56 (2), 211-238, 2016 | 275 | 2016 |
Knowing the Tweeters: Deriving sociologically relevant demographics from Twitter L Sloan, J Morgan, W Housley, M Williams, A Edwards, P Burnap, O Rana Sociological research online 18 (3), 74-84, 2013 | 275 | 2013 |
Crime sensing with big data: The affordances and limitations of using open-source communications to estimate crime patterns ML Williams, P Burnap, L Sloan British Journal of Criminology 57 (2), 320-340, 2017 | 243 | 2017 |
Digital social research, social media and the sociological imagination: Surrogacy, augmentation and re-orientation A Edwards, W Housley, M Williams, L Sloan, M Williams International journal of social research methodology 16 (3), 245-260, 2013 | 233 | 2013 |
Avatar watching: participant observation in graphical online environments M Williams Qualitative research 7 (1), 5-24, 2007 | 209 | 2007 |
Virtually criminal: Crime, deviance, and regulation online M Williams Taylor & Francis, 2006 | 194 | 2006 |
Policing diversity in the digital age: Maintaining order in virtual communities DS Wall, M Williams Criminology & Criminal Justice 7 (4), 391-415, 2007 | 162 | 2007 |
Big and broad social data and the sociological imagination: A collaborative response W Housley, R Procter, A Edwards, P Burnap, M Williams, L Sloan, O Rana, ... Big Data & Society 1 (2), 2053951714545135, 2014 | 158 | 2014 |
Guardians upon high: An application of routine activities theory to online identity theft in Europe at the country and individual level ML Williams British Journal of Criminology 56 (1), 21-48, 2016 | 157 | 2016 |
Policing cyber-neighbourhoods: tension monitoring and social media networks ML Williams, A Edwards, W Housley, P Burnap, O Rana, N Avis, J Morgan, ... Policing Cybercrime, 53-73, 2017 | 143 | 2017 |
Hate speech, machine classification and statistical modelling of information flows on Twitter: Interpretation and communication for policy decision making P Burnap, ML Williams | 138 | 2014 |