Abstract
Mob lynching is violent human behaviour where people punish someone without a legal trial. Lynching ends with a significant injury or death of a person. In the digital era, almost every piece of news, including the incident of mob lynching, is shared on social media. Once a case of mob lynching is shared on social media, it propagates to a wide range of audiences. This study uses quantitative and qualitative approaches to investigate mob lynching in India and discuss possible prevention measures through social media using two datasets, one collected from Twitter and another from a fact-checking website. The fact-checked data provides an overview of the cause and effect of mob lynching, while the tweets provide the current discussion and user response. The proposed analysis highlights frequent topics discussed on Twitter, user reactions to those posts, and their relation with historic mob lynching incidents. In the end, a prevention measure is proposed using a user study. The result shows that most tweets are of negative sentiment; tweets are more retweeted than likes. The topic modelling shows the tweets are asking for mob lynching and help. There is partial support for prevention measures, and there is a need for literacy, awareness, and strict law to control mob lynching in future.
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References
Jha, R.S., Jain, V., Chawla, C.: Hate speech & mob lynching: a study of its relations, impacts & regulating laws. Think India (Q. J.) 22(3), 1401–1405 (2019)
Mukherjee, R.: Mobile witnessing on Whatsapp: vigilante virality and the anatomy of mob lynching. South Asian Popular Cult. 18(1), 79–101 (2020)
Akhef, M.: Patna: Man lynched for killing 11-year-old punpun boy (2023). https://timesofindia.indiatimes.com/city/patna/patna-man-lynched-for-killing-11-year-old-punpun-boy/articleshow/99179725.cms
Wikipedia. Mob ‘lynching of Arab’ aired live on Israeli TV (2020). https://en.wikipedia.org/wiki/2020_Palghar_mob_lynching
Garland, D.: Penal excess and surplus meaning: public torture lynchings in twentieth-century America. Law Soc. Rev. 39(4), 793–834 (2005)
Blocker Jr., J.S., et al.: Lynching Beyond Dixie: American Mob Violence Outside the South. University of Illinois Press, Urbana-Champaign (2013)
Bhat, M., Bajaj, V., Kumar, S.A.: The crime vanishes: mob lynching, hate crime, and police discretion in India. Jindal Global Law Rev. 11(1), 33–59 (2020)
Janghu, P., Pranjal, B.: Emerging trend of violent cow protection and the right to religion in India
Tripathi, K.: No reliable data to define mob-lynching as a separate category of crime (2022). https://www.financialexpress.com/india-news/ncrb-no-reliable-data-to-define-mob-lynching-as-a-separate-category-of-crime-modi-govt-nityanand-rai/1787225
Quint. Lynching in India (2022). https://www.thequint.com/quintlab/lynching-in-india/
Gupta, I.: Mob violence and vigilantism in India. World Affairs J. Int. Issues 23(4), 152–172 (2019)
Baksi, S., Nagarajan, A.: Mob lynchings in India: a look at data and the story behind the numbers.Newslaundry.com, 4 July 2017
Vasudeva, F., Barkdull, N.: Whatsapp in India? A case study of social media related lynchings. Soc. Identities 26(5), 574–589 (2020)
Arun, C.: On whatsapp, rumours, lynchings, and the Indian government. Econ. Polit. Weekly 54(6), 30–35 (2019)
Shahi, G.K., Tsoplefack, W.K.: Mitigating harmful content on social media using an interactive user interface. In: Hopfgartner, F., Jaidka, K., Mayr, P., Jose, J., Breitsohl, J. (eds.) Social Informatics: 13th International Conference, SocInfo 2022, Glasgow, UK, 19–21 October 2022, Proceedings, vol. 13618, pp. 490–505. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-19097-1_34
Nandini, D., Schmid, U.: Explaining hate speech classification with model agnostic methods. arXiv preprint arXiv:2306.00021 (2023)
Keap, S.: DIGITAL 2023: INDIA (2023). https://datareportal.com/reports/digital-2023-india
Knowbles, T.: Two and a half hours a day spent staring at our smartphone (2022). https://www.thetimes.co.uk/article/two-and-a-half-hours-a-day-spent-staring-at-our-smartphones-llvlp3t3v
Sannam S4. Top social media trends in India (2020). https://acumen.education/top-social-media-trends-in-india/
Kohli, I.: Mob lynching in India: is the government doing enough? Available at SSRN 4341681 (2023)
Satonkar, S.D.: Mob lynching: collectively harmful influences of social media and hidden irrational thoughts of REBT. Phoenix Int. J. Psychol. Soc. Sci. 3, 120–128 (2019)
Carrigan, W.D.: Lynching Reconsidered: New Perspectives in the Study of Mob Violence. Routledge, London (2014)
Ellsworth, P.D.: Mobocracy and the rule of law: American press reaction to the murder of Joseph Smith. Brigham Young Univ. Stud. 20(1), 71–82 (1979)
Choubey, M.: Mob lynching: a case study Jharkhand. Jamshedpur Res. Rev. 4, 16–21 (2019)
O’Neill, A.: India: Religious affiliation in 2011 (2023). https://www.statista.com/statistics/261308/religious-affiliation-in-india/
Barz, H.: Islam und bildung: Bemerkungen zu einem ambivalenten verhältnis. Islam und Bildung, pp. 241–262 (2018)
Welle, D.: India Struggles with Religious Lynchings (2022). https://www.dw.com/en/india-struggles-with-religious-lynchings/a-49950223
Singay, K.A., Baig, T., Ahmad, M.A.: Mob lynching in Pakistan: an integrated conceptual model. Pak. Soc. Sci. Rev. 4(1), 688–698 (2020)
Pennews: A woman beggar in Ahmedabad was lynched over suspicion of child theft (2018). https://www.newsclick.in/mob-lynching-over-social-media-rumours-continue
Bekkers, V., Moody, R., Edwards, A.: Micro-mobilization, social media and coping strategies: some Dutch experiences. Policy Internet 3(4), 1–29 (2011)
Mergel, I.: Open collaboration in the public sector: the case of social coding on GitHub. Gov. Inf. Q. 32(4), 464–472 (2015)
Thacher, D., Rein, M.: Managing value conflict in public policy. Governance 17(4), 457–486 (2004)
Ferreyra, N.E.D., Shahi, G.K., Tony, C., Stieglitz, S., Scandariato, R.: Regret, delete, (do not) repeat: an analysis of self-cleaning practices on Twitter after the outbreak of the Covid-19 pandemic. In: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, pp. 1–7 (2023)
Beshears, M.L.: Effectiveness of police social media use. Am. J. Crim. Justice 42(3), 489–501 (2017)
Meijer, A.J., Torenvlied, R.: Social media and the new organization of government communications: an empirical analysis of Twitter usage by the Dutch police. Am. Rev. Public Adm. 46(2), 143–161 (2016)
Davis, E.F., Alves, A.A., Sklansky, D.A.: Social media and police leadership: lessons from Boston. Australas. Policing 6(1), 10–16 (2014)
Shahi, G.K., Majchrzak, T.A.: AMUSED: an annotation framework of multimodal social media data. In: Sanfilippo, F., Granmo, O.C., Yayilgan, S.Y., Bajwa, I.S. (eds.) Intelligent Technologies and Applications, INTAP 2021. CCIS, vol. 1616, pp. 287–299. Springer, Cham (2021). https://doi.org/10.1007/978-3-031-10525-8_23
Gowen, A.: As Mob Lynchings Fueled by WhatsApp Sweep India, Authorities Struggle to Combat Fake News, pp. NA-NA. The Washington Post (2018)
Singh, V.: Mob lynching: an expression threatening the right to life. Available at SSRN 3604289 (2020)
Shahi, G.K., Dirkson, A., Majchrzak, T.A.: An exploratory study of Covid-19 misinformation on Twitter. Online Soc. Netw. Media 22, 100104 (2021)
Shahi, G.K., Nandini, D.: FakeCovid-a multilingual cross-domain fact check news dataset for Covid-19. arXiv preprint arXiv:2006.11343 (2020)
Citizens Against Hate. Lynching without end: report of fact finding into religiously motivated vigilante violence in India, New Delhi, 9 January 2017
Sharma, R.: Lynchings in the time of voyeurism and social media misuse (2022). https://economictimes.indiatimes.com/news/politics-and-nation/view-lynchings-in-the-time-of-voyeurism-and-social-media-misuse/articleshow/65132202.cms
Loper, E., Bird, S.: NLTK: the natural language toolkit. arXiv preprint cs/0205028 (2002)
Blei, D.M., Ng, A.Y., Jordan, M.I.: Latent Dirichlet allocation. J. Mach. Learn. Res. 3(Jan), 993–1022 (2003)
Hutto, C., Gilbert, E.: VADER: a parsimonious rule-based model for sentiment analysis of social media text. In: Proceedings of the International AAAI Conference on Web and Social Media, vol. 8, pp. 216–225 (2014)
Shahi, G.K., Clausen, S., Stieglitz, S.: Who shapes crisis communication on Twitter? An analysis of German influencers during the Covid-19 pandemic. In: Proceedings of the 55th Hawaii International Conference on System Sciences (2022)
Srivastava, P.: Internet blocked to nip lynch backlash in Meerut (2019). https://www.telegraphindia.com/india/internet-blocked-to-nip-lynch-backlash-in-meerut/cid/1693615
Professor of Law. FIR and Role of Police: Legislative and Judicial Trends. Regal Publications (2017)
Stieglitz, S., Dang-Xuan, L.: Emotions and information diffusion in social media-sentiment of microblogs and sharing behavior. J. Manag. Inf. Syst. 29(4), 217–248 (2013)
Kazemi, A., Garimella, K., Shahi, G.K., Gaffney, D., Hale, S.A.: Research note: tiplines to uncover misinformation on encrypted platforms: a case study of the 2019 Indian general election on WhatsApp. Harvard Kennedy School Misinformation Review (2022)
Röchert, D., Shahi, G.K., Neubaum, G., Ross, B., Stieglitz, S.: The networked context of Covid-19 misinformation: informational homogeneity on Youtube at the beginning of the pandemic. Online Soc. Netw. Media 26, 100164 (2021)
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Shahi, G.K., Majchrzak, T.A. (2023). An Exploratory Study and Prevention Measures of Mob Lynchings: A Case Study of India. In: Maślankowski, J., Marcinkowski, B., Rupino da Cunha, P. (eds) Digital Transformation. PLAIS EuroSymposium 2023. Lecture Notes in Business Information Processing, vol 495. Springer, Cham. https://doi.org/10.1007/978-3-031-43590-4_7
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