Publications
A
A, J., da Silva, F.L.V., Costa, W., Carvalho, R.B., Bender, A.T., Correa, U.B. & de Freitas, L.A., 'BERTimbau in Action: An Investigation of its Abilities in Sentiment Analysis, Aspect Extraction, Hate Speech Detection, and Irony Detection' (2023), Proceedings of the International Florida Artificial Intelligence Research Society Conference, FLAIRS, 36
View the publication online
Aa, S. van der, Claessen, J. & Hofmann, R., 'Special Need of Victims of Hate Crime Regarding Criminal Proceedings and Victim Support [Speciale Behoefte van Slachtoffers van Hate Crime Ten Aanzien van Het Strafproces en de Slachtofferhulp]' (2020), Maastricht University - Faculty of Law
View the publication online
Aarthi, B. & Chelliah, B.J., 'HATDO: hybrid Archimedes Tasmanian devil optimization CNN for classifying offensive comments and non-offensive comments' (2023), Neural Computing and Applications [online]
View the publication online
Ababu, T.M. & Woldeyohannis, M.M., 'Afaan Oromo Hate Speech Detection and Classification on Social Media' (2022), 2022 Language Resources and Evaluation Conference, LREC 2022, pp. 6612-6619
View the publication online
Abashidze, A.K. & Butt, M.S., 'Freedom of Expression—A Double-Edged Right That Continues to Divide Peoples Across the Globe on How Best to Frame Its Scope and Limitations—An Organization of Islamic Cooperation (OIC) Perspective in Times of Digitalization' (2022), Smart Innovation, Systems and Technologies, 254, pp. 187-199
View the publication online
Abbas, T. & Awan, I., 'Limits of UK Counterterrorism Policy and its implications for Islamophobia and Far Right extremism' (2015), International Journal for Crime, Justice and Social Democracy, 4(3), pp.16-29
View the publication online
Abdallah Tani, M.E.N. & Alrasheed, T.K.A., 'Violence in digital communication social media through the of installing technique' (2023), Measurement: Sensors, 25, 100646
View the publication online
Abdel-Fattah, R., '‘Lebanese Muslim’: A Bourdieuian ‘capital’ offense in an Australian coastal town' (2016), Journal of Intercultural Studies, 37(4), p.323-338
View the publication online
Abdel-Fattah, R., 'Islamophobia and everyday multiculturalism in Australia' (2017), Oxon; New York, NY: Routledge
Abdel-Fattah, R., 'Islamophobia and Australian Muslim political consciousness in the war on terror' (2017), Journal of Intercultural Studies, 38(4), pp.397-411
View the publication online
AbdelHamid, M., Jafar, A. & Rahal, Y., 'Levantine hate speech detection in Twitter' (2022), Social Network Analysis and Mining, 12(1), 121
View the publication online
Abderrouaf, C. & Oussalah, M., 'On Online Hate Speech Detection. Effects of Negated Data Construction' (2019), Proceedings - 2019 IEEE International Conference on Big Data, Big Data 2019, 9006336, pp. 5595-5602
View the publication online
Abdou, A.L.N.N. & Tagne, E.F., 'A Sentiment Analysis Approach for Abusive Content Detection using Improved Dataset' (2021), Proceedings - 2021 International Conference on Computational Science and Computational Intelligence, CSCI 2021, pp. 1415-1420
View the publication online
Abdul Aziz, N.A., Aizaini Maarof, M. & Zainal, A., 'Hate Speech and Offensive Language Detection: A New Feature Set with Filter-Embedded Combining Feature Selection' (2021), 2021 3rd International Cyber Resilience Conference, CRC 2021, 9392486
View the publication online
Abdul Razak, M.I. & Mohamed Saleem, A., 'COVID-19: The Crossroads for Sinhala–Muslim Relations in Sri Lanka' (2021), Journal of Asian and African Studies [online]
View the publication online
Abdurrahman, M.H., Irawan, B. & Setianingsih, C., 'A Review of Light Gradient Boosting Machine Method for Hate Speech Classification on Twitter' (2020), ICECIE 2020 - 2020 2nd International Conference on Electrical, Control and Instrumentation Engineering, Proceedings, 9309565
View the publication online
Abebaw, Z., Rauber, A. & Atnafu, S., 'Design and Implementation of a Multichannel Convolutional Neural Network for Hate Speech Detection in Social Networks' (2022), Revue d'Intelligence Artificielle, 36(2), pp. 175-183
View the publication online
Abebaw, Z., Rauber, A. & Atnafu, S., 'Multi-channel Convolutional Neural Network for Hate Speech Detection in Social Media' (2022), Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST, 411 LNICST, pp. 603-618
View the publication online
Abeyta, S. & Cuevas, C.A., 'An Introductory Examination on the Differences Between Frequentist and Bayesian Multiple Regression Using Real-World Data on Bias-Based Victimization Among Latinx Adults' (2022), Psychological Trauma: Theory, Research, Practice, and Policy [online]
View the publication online
Abhijit, M., 'Dial H for hatred: Did Independent conclude too soon it is hate crime?' (2017), Journal of Global Communication, 10(1), pp.1-9
View the publication online
Abid, A.A., Shami, S. & Ashfaq, A., 'Facebook and hate speech: Analyzing relationship between consumers’ attributes and Islamic sectarian content on social media in Pakistan' (2021), Journal of Islamic Thought and Civilization, 11(1)
View the publication online
Abidin, Z., Adina, N., Arifudin, R., Purwinarko, A., Hamdani, H. & Wibisono, D.L., 'A deep learning approach for sentiment analysis of hate tweets' (2023), AIP Conference Proceedings, 2614, 040017
View the publication online
Aboriginal Deaths in Custody Watch Committee, 'Eliminating racial discrimination: Submission on Racial Discrimination Amendment Act' (1992), Irene Moores (ed) Voices of Aboriginal Australia: Past, Present, Future (1995) 227
Abrams, K., 'When the state hates' (2018), in T. Brudholm & B. Schepelern Johansen (Eds), Hate, politics, law: Critical perspectives on combating hate (Chapter 11). New York, NY: Oxford University Press
Abrams, D., Swift, H. & Houston, D., 'Developing a national barometer of prejudice and discrimination in Britain' (2018), Equality and Human Rights Commission (Research report 119)
View the publication online
Abrams, D., Swift, H.J. & Mahmood, L., 'Prejudice and unlawful behaviour: Exploring levers for change' (2016), Equality and Human Rights Commission, Research report 101
View the publication online
Abro, S., Shaikh, S., Ali, Z., Khan. S., Mujtaba, G. & Khand, Z.H., 'Automatic Hate Speech Detection Using Machine Learning: A Comparative Study' (2020), International Journal of Advanced Computer Science and Applications, 11(8), pp. 484-491
View the publication online
Abu-Ras, W. & Abu-Bader, S.H., 'The impact of the September 11, 2001, attacks on the well-being of Arab Americans in New York City' (2008), Journal of Muslim Mental Health, 3(2), pp.217-239
Abu-Ras, W., Suárez, Z.E. & Abu-Bader, S. , 'Muslim Americans’ safety and well-being in the wake of Trump: A public health and social justice crisis' (2018), The American Journal of Orthopsychiatry [online]
View the publication online
Abuín-Vences, N., Cuesta-Cambra, U., Niño-González, J.-I. & Bengochea-González, C., 'Hate speech analysis as a function of ideology: Emotional and cognitive effects | [Análisis del discurso de odio en función de la ideología: Efectos emocionales y cognitivos]' (2022), Comunicar, 30(71), pp. 1-11
View the publication online
Achondo, L., 'Musical Messaging: The Social and Anti-Social Affordances of WhatsApp in the Football Culture of the Latin American Southern Cone' (2022), Twentieth-Century Music, 19(3), pp. 517-536
View the publication online
Adam, B.D., 'Theorizing homophobia' (1998), Sexualities, 1(4), pp.387-404
View the publication online
Adamczyk, A., Gruenewald, J., Chermak, S.M. & Freilich, J.D., 'The relationship between hate groups and far-right ideological violence' (2014), Journal of Contemporary Criminal Justice, 30(3), pp.310-332
View the publication online
Adams, D.M., 'Punishing hate and achieving equality' (2005), Criminal Justice Ethics, 24(1), pp.19-30
View the publication online
Adams, K.K.J., 'A Spoonful of Sugar Makes the Hate Speech Go Down: Sugar-Coating in White Nationalist Recruitment Speech' (2023), Topoi [online]
View the publication online
Adams, M.S. & Toth, R.C., 'The unanticipated consequences of hate crime legislation' (2006), Judicature, 90(3), pp.129-134
View the publication online
Adiprasetio, J., Wibowo, K.A. & Rahmawan, D., 'A meta-analysis of hate speech in Indonesia the yielding of academic discourse to the discourse of authority' (2021), Pacific Journalism Review, 27(1-2), pp. 251-267
View the publication online
Aditya, A., Vinod, R., Kumar, A., Bhowmik, I. & Swaminathan, J., 'Classifying Speech into Offensive and Hate Categories along with Targeted Communities using Machine Learning' (2022), 5th International Conference on Inventive Computation Technologies, ICICT 2022 – Proceedings, pp. 291-295
View the publication online
Aeschbach, M., '#WhatBritishMuslimsReallyThink: Negotiating religious and national identity on Twitter' (2017), Zeitschrift für junge Religionswissenschaft
View the publication online
Afshar, H., 'Can I see your hair? Choice, agency and attitudes: The dilemma of faith and feminism for Muslim women who cover' (2008), Ethnic and Racial Studies, 31(2), pp.411-427
View the publication online
Afzal, N., 'Response to CLR article on Rochdale child sexual exploitation case' (2014), Criminal Law Review, 2, pp.145-146
Agarwal, N., Mead, E., Spann, B. & Donoven, K., 'Developing Approaches to Detect and Mitigate COVID-19 Misinfodemic in Social Networks for Proactive Policymaking' (2022), in R. Gill & R. Goolsby (Eds.) COVID-19 Disinformation: A Multi-National, Whole of Society Perspective (Advanced Sciences and Technologies for Security Applications Series) (pp. 47-79), Cham: Springer
View the publication online
Agarwal, P., Hawkins, O., Amaxopoulou, M., Dempsey, N., Sastry, N. & Wood, E., 'Hate Speech in Political Discourse: A Case Study of UK MPs on Twitter' (2021), HT 2021 - Proceedings of the 32nd ACM Conference on Hypertext and Social Media, pp. 155-164
View the publication online
Agarwal, S. & Chowdary, C.R., 'Combating hate speech using an adaptive ensemble learning model with a case study on COVID-19' (2021), Expert Systems with Applications, 185, 115632
View the publication online
Agarwal, S., Sonawane, A. & Chowdary, C.R., 'Accelerating automatic hate speech detection using parallelized ensemble learning models' (2023), Expert Systems with Applications, 230, 120564
View the publication online
Agarwal, V., Joglekar, S., Young, A.P. & Sastry, N., 'GraphNLI: A Graph-based Natural Language Inference Model for Polarity Prediction in Online Debates' (2022), WWW 2022 - Proceedings of the ACM Web Conference 2022, pp. 2729-2737
View the publication online
Aggarwal, A., Sharma, V., Trivedi, A., Agrawal, C., Singh, D., Mishra, V. & Gritli, H., 'Two-Way Feature Extraction Using Sequential and Multimodal Approach for Hateful Meme Classification' (2021), Complexity, 2021, 5510253
View the publication online
Aggarwal, P., Chawla, P., Das, M., Saha, P., Mathew, B., Zesch, T. & Mukherjee, A., 'HateProof: Are Hateful Meme Detection Systems Really Robust?' (2023), ACM Web Conference 2023 - Proceedings of the World Wide Web Conference, WWW 2023, pp. 3734-3743
View the publication online
Agrawal, P., Yusuf, Y., Pasha, O., Ali, S.H., Ziad, H. & Hyder, A.A., 'Interpersonal Stranger Violence and American Muslims: An Exploratory Study of Lived Experiences and Coping Strategies' (2019), Global Bioethics, 30(1), pp. 28-42
View the publication online
Agrawal, T. & Chakravarthy, V.D., 'Cyberbullying Detection and Hate Speech Identification using Machine Learning Techniques' (2022), Proceedings - 2022 2nd International Conference on Interdisciplinary Cyber Physical Systems, ICPS 2022, pp. 182-187
View the publication online