Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter

Alshalan, R., & Al-Khalifa, H. (2020). A Deep Learning Approach for Automatic Hate Speech Detection in the Saudi Twittersphere”, Applied Sciences, 10(23), 8614.10.3390/app10238614 Search in Google Scholar

Amnesty International Italia (2021). Barometro dell’odio. Intolleranza pandemica. Roma. Search in Google Scholar

Amrutha, B.R., & Bindu, K.R. (2019). Detecting hate speech in tweets using different deep neural network architectures. International Conference on Intelligent Computing and Control Systems (ICCS), IEEE, pp. 923-926.10.1109/ICCS45141.2019.9065763 Search in Google Scholar

Arcila-Calderón, C., Blanco-Herrero, D., Frías-Vázquez, M., & Seoane-Pérez, F. (2021). Refugees Welcome? Online Hate Speech and Sentiments in Twitter in Spain during the Reception of the Boat Aquarius. Sustainability, 13(5), 2728.10.3390/su13052728 Search in Google Scholar

Arrigoni, P., & Vitale, T. (2008). Quale legalità? Rom e gagi a confronto. Aggiornamenti Sociali. 3, pp. 182-194. Search in Google Scholar

Assimakopoulos, S., Vella Muskat, R., van der Plas, L., & Gatt, A. (2020). Annotating for Hate Speech: The MaNeCo Corpus and Some Input from Critical Discourse Analysis. Proceedings of the 12th Conference on Language Resources and Evaluation, Marseille, LREC, 5088–5097. Search in Google Scholar

Balibar, É., & Wallerstein, I. (1991). Race, nation, class: ambiguous identities. London-New York: Verso. Search in Google Scholar

Bird, S., Klein, E., & Loper, E. (2009). Natural Language Processing with Python. Sebastopol: O’Reilly. Search in Google Scholar

Bravi, L. (2009). Tra inclusione ed esclusione. Una storia sociale dell’educazione dei rom e dei sinti in Italia. Milano: Unicopli. Search in Google Scholar

Brena, S. (2021). Mappa dell’Intolleranza, così le donne sono da sempre nel mirino. In S. Pasta, & M. Santerini (Eds.), Nemmeno con un click. Ragazze e odio online (pp. 68-79). Milano : FrancoAngeli. Search in Google Scholar

Bruner, J.S. (1997). The Culture of Education. Cambridge, MA: Harvard University Press.10.2307/j.ctv136c601 Search in Google Scholar

Cao, R., Lee, R.K.W., & Hoang, T.A. (2020). DeepHate: Hate speech detection via multi-faceted text representations. 12th ACM Conference on Web Science. New York: AMC, pp. 11-20.10.1145/3394231.3397890 Search in Google Scholar

Capozzi, A.T.E., Lai, M., Basile, V., Poletto, F., Sanguinetti, M., Bosco, C., Patti, V., Ruffo, G., Musto, C., Polignano, M., Semeraro, G., & Stranisci, M. (2020). “Contro L’Odio”: A Platform for Detecting, Monitoring and Visualizing Hate Speech against Immigrants in Italian Social Media. Italian Journal of Computational Linguistics, 6(1), 77-97.10.4000/ijcol.659 Search in Google Scholar

Council of Europe (2021). Draft Recommendation of the Committee of Ministers to member States on combating hate speech. Strasbourg: Committee of Expert on Combating Hate Speech. Search in Google Scholar

D’Amico, M., & Siccardi, C. (Eds.) (2021). La Costituzione non odia. Conoscere, prevenire e contrastare l’hate speech on line. Torino: Giappichelli. Search in Google Scholar

De Mauro, T. (2016). Le parole per ferire. Internazionale. Search in Google Scholar

Di Nicola, A., Andreatta, D., & Martini, E. (2020). Hatemeter. Hate speech tool for monitoring, analysing and tackling Anti-Muslim hatred online, eCrime, Trento. Search in Google Scholar

Dubey, K., Nair, R., Khan, M.U., & Shaikh, P.S. (2020). Toxic Comment Detection using LSTM. 2020 Third International Conference on Advances in Electronics, Computers and Communications (ICAECC), 1-8.10.1109/ICAECC50550.2020.9339521 Search in Google Scholar

Eidelson, R., & Eidelson, J. (2003). Dangerous ideas. Five beliefs that propel groups toward conflict. American Psychologist Journal, 58(3), 182-192.10.1037/0003-066X.58.3.182 Search in Google Scholar

Faloppa, F. (2019). #Odio. Manuale di resistenza alla violenza delle parole. Milano: Utet. Search in Google Scholar

Femia, D. (2019). Discorso dell’odio e risorse per il trattamento automatico delle lingue. In R. Petrilli (Ed.), Hate speech (pp. 147-164). Torino: Round Robin. Search in Google Scholar

Ferrini, C., & Paris, O. (2019). I discorsi dell’odio. Roma: Carocci. Search in Google Scholar

Fersini, E., Nozza, D., & Rosso, P. (2020). AMI @ EVALITA2020: Automatic misogyny identification. 7th Evaluation Campaign of Natural Language Processing and Speech Tools for Italian. EVALITA. CEUR-WS.10.4000/books.aaccademia.6764 Search in Google Scholar

Graumann, C.F., & Kallmeyer, W. (2002). Perspective and Perspectivation in Discourse. Amsterdam: Benjamins.10.1075/hcp.9 Search in Google Scholar

Heinzelmann, N., Höltgen, B.T.A., & Tran, V. (2021). Moral discourse boosts confidence in moral judgments. Philosophical Psychology, 34 (8), 1192-1216.10.1080/09515089.2021.1959026 Search in Google Scholar

Isbister, T., Sahlgren, M., Kaati, L., Obaidi, M. & Akrami, N. (2018). Monitoring targeted hate in online environments. arXiv preprint: 1803.04757. Search in Google Scholar

James, G., Witten, D., Hastie, T., & Tibshirani, T. (2017). An Introduction to Statistical Learning. Berlin: Springer. Search in Google Scholar

Jikeli, G., Cavar, D., & Miehling, D. (2019). Annotating antisemitic online content. towards an applicable definition of antisemitism. arXiv:1910.01214, 1-27. Search in Google Scholar

Jo Cox Committee on hate, intolerance, xenophobia and racism (2017). Final Relation. Rome: Camera dei deputati. Search in Google Scholar

Kommattam, O., Fischer, A., & Jonas, K. (2019). Perceived to feel less: intensity bias in interethnic emotion perception. Journal of Experimental Social Psychology, 84, 1-8.10.1016/j.jesp.2019.04.007 Search in Google Scholar

Lazzardi, S., Patti, V., & Rosso, P. (2021). Categorizing Misogynistic Behaviours in Italian, English and Spanish Tweets. Procesamiento del Lenguaje Natural, Revista, 66, 65-76. Search in Google Scholar

Mikolov, T., Sutskever, I., Chen, K., Corrado, G. S., & Dean, J. (2013). Distributed representations of words and phrases and their compositionality. Proceedings of NIPS, 3111–3119. Search in Google Scholar

Novak, P.K., Mozetič, I., De Pauw, G., & Cinelli, M. (2020). Hate speech detection and trends. Multilingual Hate Speech Database. Ljubljana: IMSyPP. Search in Google Scholar

Ozalp, S., Williams, M.L., Burnap, P., Liu, H., & Mostafa, M. (2020). Antisemitism on Twitter. Social Media+ Society, 6(2), 1-20.10.1177/2056305120916850 Search in Google Scholar

Paasch-Colberg, S., Strippel, C., Trebbe, J., & Emmer, M. (2021). From Insult to Hate Speech: Mapping Offensive Language in German User Comments on Immigration. Media and Communication, 9(1), 171-180.10.17645/mac.v9i1.3399 Search in Google Scholar

Pasta, S. (2018a). Razzismi 2.0. Analisi socio-educativa dell’odio online. Brescia: Morcelliana Scholé. Search in Google Scholar

Pasta, S. (2018b). Addressing Antigypsyism. In D. De Vito, A. Ciniero, L. Bravi & S. Pasta, Civil society monitoring report on implementation of the national Roma integration strategy in Italy. Focusing on structural and horizontal preconditions for successful implementation of the strategy (pp. 2939). Luxembourg: Publications Office of the European Union. Search in Google Scholar

Pasta, S. (2019). The media and the public perception of the Roma and the Sinti in Italy. Trauma and Memory, 7(1), 46-52. Search in Google Scholar

Pasta, S. (2021). Detection di odio antimusulmano tra machine learning e valutazione qualitativa. In S. Polenghi, F. Cereda, & P. Zini (Eds.), La responsabilità della pedagogia nelle trasformazioni dei rapporti sociali. Storia, linee di ricerca e prospettive (pp. 1169-1179). Lecce-Rovato (BS): Pensa Multimedia. Search in Google Scholar

Pasta, S. (2020a). ‘Theory of nomadism’ in regional laws and national legislative vacuum. In D. De Vito, S. Pasta, A. Ciniero, & L. Bravi, Civil society monitoring report on implementation of the National Roma Integration Strategy in Italy. Identifying blind spots in Roma inclusion policy (pp. 11-20). Luxembourg: Publications Office of the European Union. Search in Google Scholar

Pasta, S. (2020b). Didattica della memoria. Insegnare il Porrajmos, contrastare l’antiziganismo e prevenire l’elezione a bersaglio di rom e sinti. Consultori Familiari Oggi, 28(1), 54-68. Search in Google Scholar

Pasta, S. (2022). Social network conversations with young authors of online hate speech against migrants. In A. Monnier, A. Boursier, & A. Seoane (Eds.), Cyberhate in the Context of Migrations (pp. 187-214). London: Palgrave MacMillan.10.1007/978-3-030-92103-3_8 Search in Google Scholar

Pasta, S., & Vitale, T. (2017). ‘Mi guardano male, ma io non guardo’. Come i rom e i sinti in Italia reagiscono allo stigma. In A. Alietti (Ed.), Razzismi, discriminazioni e disuguaglianze. Analisi e ricerche sull’Italia contemporanea (pp. 217-241). Milano: Mimesis. Search in Google Scholar

Pasta, S., Santerini, M., Forzinetti, E., & Della Vedova, M. (2021). Antisemitism and Covid-19 on Twitter. The search for hatred online between automatisms and qualitative evaluation. Form@re. Open Journal per formazione in rete, XXI(3), 288-304.10.36253/form-9990 Search in Google Scholar

Paul, C., & Bora, P. (2021). Detecting Hate Speech using Deep Learning Techniques. International Journal of Advanced Computer Science and Applications (IJACSA), 12(2), 619-623.10.14569/IJACSA.2021.0120278 Search in Google Scholar

Piasere, L. (2015). L’antiziganismo. Macerata: Quodlibet. Search in Google Scholar

Poletto, F., Basile, V., Sanguinetti, M., Bosco, C., & Patti, V. (2021). Resources and benchmark corpora for hate speech detection: a systematic review. Language Resources and Evaluation, 55, 477–523.10.1007/s10579-020-09502-8 Search in Google Scholar

Powell, J., & Menendian, S. (2018). The Problem of Othering. Othering and Belonging. Search in Google Scholar

Řehůřek, R., & Sojka, P. (2010). Software Framework for Topic Modelling with Large Corpora. Proceedings of the LREC 2010 Workshop on New Challenges for NLP Frameworks, Valletta, ELRA, 45-50. Search in Google Scholar

Sandaruwan, H.M.S.T., Lorensuhewa, S.A.S., & Kalyani, M.A.L. (2019). Sinhala Hate Speech Detection in Social Media using Text Mining and Machine learning. 19th International Conference on Advances in ICT for Emerging Regions (ICTer), 1-8.10.1109/ICTer48817.2019.9023655 Search in Google Scholar

Sanguinetti, M., Poletto, F., Bosco, C., Patti, V., & Stranisci, M. (2018). An Italian Twitter Corpus of Hate Speech against Immigrants. Proceedings of the 11th International Conference on Language Resources and Evaluation, LREC, Miyazaki, 2798-2805. Search in Google Scholar

Santerini, M. (2021). La mente ostile. Forme dell’odio contemporaneo. Milano: Raffaello Cortina. Search in Google Scholar

Siapera, E., Moreo, E., & Zhou, J. (2018). Hate Track Tracking And Monitoring Racist Speech Online. Dublin: Irish Human Rights and Equality Commission. Search in Google Scholar

Siegel, A.A. (2020). Online hate speech. In N. Persily, & J.A. Tucker (Eds.), Social Media and Democracy (pp. 56-88). Cambridge: Cambridge University Press.10.1017/9781108890960.005 Search in Google Scholar

Stanley, J. (1994). How Propaganda Works. Princeton: Princeton University Press. Search in Google Scholar

Sternberg, R. J., & Sternberg, K. (2008). The nature of hate. Cambridge: Cambridge University Press10.1017/CBO9780511818707 Search in Google Scholar

Uyheng, J., & Carley, K.M. (2021), Characterizing network dynamics of online hate communities around the COVID-19 pandemic. Applied Network Science, 6(20), 1-21.10.1007/s41109-021-00362-x Search in Google Scholar

Vox-Osservatorio italiano sui diritti (2021). VI Mappa sull’Intolleranza in Italia. Retrieved from www.voxdiritti.it. Search in Google Scholar

Wieviorka, M. (1995). The arena of racism. New York: Sage. Search in Google Scholar

Wodak, R., & Meyer, M. (2011). Methods of Critical Discourse Analysis London: Sage. Search in Google Scholar

Zannettou, S., Elsherief, M., Belding, E., Nilizadeh, S., & Stringhini, G. (2020). Measuring and Characterizing Hate Speech on News Websites. 12th ACM Conference on Web Science, AMC, New York, 125-34.10.1145/3394231.3397902 Search in Google Scholar

Zhou, Y., Yang, Y., Liu, H., Liu, X., & Savage, N. (2020). Deep Learning Based Fusion Approach for Hate Speech Detection. IEEE Access, vol. 8, 128923-128929.10.1109/ACCESS.2020.3009244 Search in Google Scholar

Zimbardo, P. (2007). The Lucifer Effect: How Good People Turn Evil. New York: Random House. Search in Google Scholar