Us and them: identifying cyber hate on Twitter across multiple protected characteristics

EPJ Data Science

Volumn 5, Issue 1, 2016, Pages

  Burnap, Pete ^a   Williams, Matthew L ^b  

^a CARDIFF UNIVERSITY   (United Kingdom)

^b CARDIFF UNIVERSITY   (United Kingdom)

Author keywords

cyber hate; hate speech; machine learning; NLP; Twitter

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTATIONAL LINGUISTICS; LEARNING SYSTEMS; SYNTACTICS; TEXT PROCESSING; WORLD WIDE WEB;

AUTOMATIC DETECTION; CYBER HATE; INDIVIDUAL MODELS; MACHINE CLASSIFICATIONS; OFFENSIVE LANGUAGES; SEXUAL ORIENTATIONS; SOCIAL TENSIONS; TWITTER;

SOCIAL NETWORKING (ONLINE);

EID: 84961615137     PISSN: None     EISSN: 21931127     Source Type: Journal    
DOI: 10.1140/epjds/s13688-016-0072-6     Document Type: Article

References (28)

1. Burnap P, Williams ML (2015) Cyber hate speech on Twitter: an application of machine classification and statistical modeling for policy and decision making. Policy & Internet 7(2):223-242
2. Williams ML, Burnap P (2015) Cyberhate on social media in the aftermath of Woolwich: a case study in computational criminology and big data. Br J Criminol 55:1-28
3. Leets L (2001) Responses to Internet hate sites: is speech too free in cyberspace? Commun Law Policy 6:287-317
4. Eichhorn K (2001) Re-in/citing linguistic injuries: speech acts, cyberhate, and the spatial and temporal character of networked environments. Comput Compos 18:293-304
5. Perry B, Olsson P (2009) Cyberhate: the globalisation of hate. Inf Commun Technol Law 18:185-199
6. Oksanen A, Hawdon J, Holkeri E, Nasi M, Rasanen P (2014) Exposure to online hate among young social media users. In: Warehime MN (ed) Soul of society: a focus on the lives of children & youth. Emerald, Bingley, UK, pp 253-273
7. Burnap P, Williams M, Sloan L, Rana O, Housley W, Edwards A, Knight V, Procter R, Voss A (2014) Tweeting the terror: modelling the social media reaction to the Woolwich terrorist attack. Soc Netw Anal Min 4:206
8. Inter-parliamentary Coalition for Combating Anti-Semitism (ICCA) (2013) Task for on Internet hate: report and recommendation of the cochairs. London
9. Anti-Defamation League (2014) Best practices for responding to cyberhate. London
10. Giannasi P (2014) Hate on the Internet: progress on the UK Government’s hate crime action plan. Presented at the all wales hate crime criminal justice board, British Transport Police
11. Barriers B (2003) First out…Report of the findings of the Beyond Barriers survey of lesbian, gay, bisexual and transgender people in Scotland. PhD thesis, Beyond Barriers, Glasgow
12. Chakraborti N, Zempi I (2012) The veil under attack: gendered dimensions of islamophobic victimization. Int Rev Vict 18(3):269-284
13. Williams ML, Tregidga J (2014) Hate crime victimisation in Wales: psychological and physical impacts across seven hate crime victim-types. Br J Criminol 54:946-967
14. King RD, Sutton GM (2013) High times for hate crime: explaining the temporal clustering of hate motivated offending. Criminology 51(4):871-894
15. Downs A (1972) Up and down with ecology - the ‘issue-attention cycle’. Public Interest 28:38-50
16. Williams ML, Edwards A, Housley W, Burnap P, Rana O, Avis N, Morgan J, Sloan L (2013) Policing cyber-neighbourhoods: tension monitoring and social media networks. Policing Soc 23(4):461-481
17. Burnap P, Rana O, Avis N, Williams ML, Housley W, Edwardsb A, Morganb J, Sloanb L (2015) Detecting tension in online communities with computational Twitter analysis. Technol Forecast Soc Change 95:96-108
18. Thelwall M, Buckley K, Paltogou G, Cai D, Kappas A (2010) Sentiment strength detection in short informal text. J Am Soc Inf Sci Technol 61:2544-2558
19. Kolhatkar V, Zinsmeister H, Hirst G (2013) Interpreting anaphoric shell nouns using antecedents of cataphoric shell nouns as training data. In: Proceedings of the 2013 conference on empirical methods in natural language processing, October 18-21, Seattle, Washington
20. Thelwall M (2010) Data mining emotion in social network communication: gender differences in MySpace. J Am Soc Inf Sci Technol 61:190-199
21. Greevy E, Smeaton AF (2004) Classifying racist texts using a support vector machine. In: Proceedings of the 27th annual international conference on research and development in information retrieval, July 25-29, Sheffield, UK
22. Pendar N (2007) Toward spotting the pedophile telling victim from predator in text chats. In: Proceedings of the first IEEE international conference on semantic computing, September 17-19, Irvine, CA
23. Chen Y, Zhou Y, Zhu S, Xu H (2012) Detecting offensive language in social media to protect adolescent online safety. In: Proceedings of the fourth ASE/IEEE international conference on social computing (SocialCom 2012), September 3-6, Amsterdam
24. Dadvar M, Trieschnigg D, de Jong F (2013) Expert knowledge for automatic detection of bullies in social networks. In: Proceedings of the 25th Benelux conference on artificial intelligence, BNAIC 2013, November 7-8, Delft, the Netherlands
25. Dinakar K, Jones B, Havasi C, Lieberman H, Picard R (2012) Common sense reasoning for detection, prevention, and mitigation of cyberbullying. ACM Trans Interact Intell Syst 2(3):18
26. Meddaugh PM, Kay J (2009) Hate speech or ‘reasonable racism?’ The other in stormfront. J Mass Media Ethics 24(4):251-268
27. Wodak R, Reisigl M (1999) Discourse and racism: European perspectives. Annu Rev Anthropol 28:175-199
28. Marneffe M, MacCartney B, Manning CD (2006) Generating typed dependency parses from phrase structure parses. Paper presented at the international conference on language resources and evaluation (LREC, May 24-26, Genoa, Italy)