Denouncing Sexual Violence: A Cross-Language and Cross-Cultural Analysis of #MeToo and #BalanceTonPorc

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11747)


#MeToo, a social media movement that denounced sexual violence against women was lauded as a global phenomenon. In this paper, we present a cross-language and cross-cultural quantitative examination of the English #MeToo and French #BalanceTonPorc. The goal of our study was to examine the global to local adoption and personalization of this social media movement. In part one of our study, we sought to understand linguistic differences by comparing #MeToo tweets in English and #BalanceTonPorc tweets in French. In the second part, we sought to understand cultural differences in the way #MeToo was adopted in the US and India. We found that the movement did not share a unified perspective, instead it was shaped by the culture and social reality of the posters; tweets in French were more aggressive and accusing than those in English, while English tweets from India involved more religion and society than those from the US.


Twitter trends Linguistic analysis Social movements 


  1. 1.
    Ahrens, C.E.: Silent and silenced: the disclosure and non-disclosure of sexual assault. Ph.D. thesis, ProQuest Information & Learning (2002)Google Scholar
  2. 2.
    Anderson, M.: How social media users have discussed sexual harassment since #MeToo went viral. Pew Research Center (2018).
  3. 3.
    Angermuller, J., Maingueneau, D., Wodak, R.: The Discourse Studies Reader: Main Currents in Theory and Analysis. John Benjamins Publishing Company, Amsterdam (2014)CrossRefGoogle Scholar
  4. 4.
    Armour, N., Axon, R.: USA gymnastics: sexual assault investigation urges cultural change. USA Today (2017)Google Scholar
  5. 5.
    Bennett, W.L., Segerberg, A.: Digital media and the personalization of collective action: social technology and the organization of protests against the global economic crisis. Inf. Commun. Soc. 14(6), 770–799 (2011)CrossRefGoogle Scholar
  6. 6.
    Bruns, A., Highfield, T., Burgess, J.: The Arab Spring and social media audiences: English and Arabic Twitter users and their networks. Am. Behav. Sci. 57(7), 871–898 (2013)CrossRefGoogle Scholar
  7. 7.
    Castells, M.: The new public sphere: global civil society, communication networks, and global governance. Ann. Am. Acad. Polit. Soc. Sci. 616(1), 78–93 (2008)CrossRefGoogle Scholar
  8. 8.
    Choudhary, A., Hendrix, W., Lee, K., Palsetia, D., Liao, W.K.: Social media evolution of the Egyptian revolution. Commun. ACM 55(5), 74–80 (2012)CrossRefGoogle Scholar
  9. 9.
    De Choudhury, M., Jhaver, S., Sugar, B., Weber, I.: Social media participation in an activist movement for racial equality. In: Tenth International AAAI Conference on Web and Social Media (2016)Google Scholar
  10. 10.
    De Choudhury, M., Sharma, S.S., Logar, T., Eekhout, W., Nielsen, R.C.: Gender and cross-cultural differences in social media disclosures of mental illness. In: Proceedings of the 2017 ACM Conference on Computer Supported Cooperative Work and Social Computing, pp. 353–369. ACM (2017)Google Scholar
  11. 11.
    Donadio, R.: #BalanceTonPorc is France’s #MeToo. The Atlantic (2017).
  12. 12.
    Donadio, R.: A year ago, Alyssa Milano started a conversation about #MeToo. NBC News (2017).
  13. 13.
    Eltantawy, N., Wiest, J.B.: The Arab Spring - social media in the Egyptian revolution: reconsidering resource mobilization theory. Int. J. Commun. 5, 18 (2011)Google Scholar
  14. 14.
    Entman, R.M.: Framing: toward clarification of a fractured paradigm. J. Commun. 43(4), 51–58 (1993)CrossRefGoogle Scholar
  15. 15.
    Farnadi, G., et al.: Computational personality recognition in social media. User Model. User-Adap. Inter. 26(2–3), 109–142 (2016)CrossRefGoogle Scholar
  16. 16.
    Haynes, S., Chen, A.: How #MeToo is taking on a life of its own in Asia. Time Mag. (2018).
  17. 17.
    Kalra, G., Bhugra, D.: Sexual violence against women: understanding cross-cultural intersections. Indian J. Psychiatry 55(3), 244 (2013)CrossRefGoogle Scholar
  18. 18.
    Karusala, N., Kumar, N., Arriaga, R.: #autism: Twitter as a lens to explore differences in autism awareness in India and the United States. In: Proceedings of the Tenth International Conference on Information and Communication Technologies and Development, p. 41. ACM (2019)Google Scholar
  19. 19.
    Khatua, A., Cambria, E., Khatua, A.: Sounds of silence breakers: exploring sexual violence on Twitter. In: 2018 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 397–400. IEEE (2018)Google Scholar
  20. 20.
    Lakoff, G.: Simple framing. Rockridge Institute, vol. 14 (2006)Google Scholar
  21. 21.
    The Local: 1.001 Norwegian artists denounce sexual harassment (2017).
  22. 22.
    Manikonda, L., Beigi, G., Liu, H., Kambhampati, S.: Twitter for sparking a movement, reddit for sharing the moment: #MeToo through the lens of social media. arXiv preprint arXiv:1803.08022 (2018)
  23. 23.
    News, G.: Miss Peru contestants cite gender-based violence stats instead of their bra size (2017).
  24. 24.
    Olesen, T.: Transnational publics: new spaces of social movement activism and the problem of global long-sightedness. Curr. Sociol. 53(3), 419–440 (2005)CrossRefGoogle Scholar
  25. 25.
    Onwuachi-Willig, A.: What about #UsToo: the invisibility of race in the #MeToo movement. Yale LJF 128, 105 (2018)Google Scholar
  26. 26.
    Organization, W.H.: Violence against women (2011).
  27. 27.
    Pennebaker, J.W., Booth, R.J., Francis, M.E.: LIWC 2007: linguistic inquiry and word count., Austin, Texas (2007)Google Scholar
  28. 28.
    Pennebaker, J.W., Boyd, R.L., Jordan, K., Blackburn, K.: The development and psychometric properties of LIWC2015. Technical report (2015)Google Scholar
  29. 29.
    Piolat, A., Booth, R.J., Chung, C.K., Davids, M., Pennebaker, J.W.: La version française du dictionnaire pour le liwc: modalités de construction et exemples d’utilisation. Psychologie française 56(3), 145–159 (2011)CrossRefGoogle Scholar
  30. 30.
    Quadri, S., Karusala, N., Arriaga, R.I.: #AutismAwareness: a longitudinal study to characterize tweeting patterns for Indian and US users. In: Proceedings of the 9th Indian Conference on Human Computer Interaction, pp. 11–19. ACM (2018)Google Scholar
  31. 31.
    Ramirez-Esparza, N., Chung, C.K., Kacewicz, E., Pennebaker, J.W.: The psychology of word use in depression forums in English and in Spanish: texting two text analytic approaches. In: ICWSM (2008)Google Scholar
  32. 32.
    Respers, L.: #MeToo: social media flooded with personal stories of assault. CNN (2017).
  33. 33.
    Richards, K.: Misperceptions about child sex offenders. Trends and Issues in Crime and Criminal Justice, September 2011Google Scholar
  34. 34.
    Roesslein, J.: Tweepy documentation Google Scholar
  35. 35.
    Schneider, K.T., Carpenter, N.J.: Sharing #MeToo on Twitter: incidents, coping responses, and social reactions. Int. J. Equality Divers. Incl. (2019) Google Scholar
  36. 36.
    Stache, L.C.: Advocacy and political potential at the convergence of hashtag activism and commerce. Feminist Media Stud. 15(1), 162–164 (2015)CrossRefGoogle Scholar
  37. 37.
    Wang, Y., Weber, I., Mitra, P.: Quantified self meets social media: sharing of weight updates on Twitter. In: Proceedings of the 6th International Conference on Digital Health Conference, pp. 93–97. ACM (2016)Google Scholar
  38. 38.
    Zacharek, S., Dockterman, E., Sweetland, H.: Time person of the year 2017: the silence breakers. Time Mag. (2017).

Copyright information

© IFIP International Federation for Information Processing 2019

Authors and Affiliations

  1. 1.Universitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.École centrale de LilleLilleFrance
  3. 3.Georgia Institute of TechnologyAtlantaUSA

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