References

  1. Amnesty International. (2019). Troll Patrol Findings.
  2. Ausserhofer, J., & Maireder, A. (2013). NATIONAL POLITICS ON TWITTER: Structures and topics of a networked public sphere. Information Communication and Society, 16(3), 291–314. https://doi.org/10.1080/1369118X.2012.756050
  3. Bandura, A. (1978). Social Learning Theory of Aggression. Journal of Communication. https://doi.org/10.1111/j.1460-2466.1978.tb01621.x
  4. Benesch, S., Ruths, D., Dillon, K. P., Mohammad Saleem, H., Wright, L., & Ruths -, D. (2016). Considerations for Successful Counterspeech. Retrieved from http://dangerousspeech.org/
  5. Cheng, J., Bernstein, M., Danescu-Niculescu-mizil, C., & Leskovec, J. (2017). Anyone can become a troll: Causes of trolling behavior in online discussions. Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, 1217–1230. https://doi.org/10.1145/2998181.2998213
  6. Cikara, M. (2015, June 1). Intergroup Schadenfreude: Motivating participation in collective violence. Current Opinion in Behavioral Sciences, Vol. 3, pp. 12–17. https://doi.org/10.1016/j.cobeha.2014.12.007
  7. Conway, M. (2014). Ethical issues in using twitter for public health surveillance and research: Developing a taxonomy of ethical concepts from the research literature. Journal of Medical Internet Research, 16(12), 1–9. https://doi.org/10.2196/jmir.3617
  8. Danaher, J. (2019). The Case Against Righteous Anger. Retrieved December 9, 2019, from https://philosophicaldisquisitions.blogspot.com/2019/11/the-case-against-righteous-anger.html
  9. Mapping Media Freedom. (2019). Targeting the messenger: Journalists face an onslaught of online harassment.
  10. Mikal, J., Hurst, S., & Conway, M. (2016). Ethical issues in using Twitter for population-level depression monitoring: A qualitative study. BMC Medical Ethics, 17(1), 1–11. https://doi.org/10.1186/s12910-016-0105-5
  11. Muller, K., & Schwarz, C. (2017). Fanning the Flames of Hate: Social Media and Hate Crime. SSRN Electronic Journal. https://doi.org/10.2139/ssrn.3082972
  12. Munger, K. (2017). Tweetment Effects on the Tweeted: Experimentally Reducing Racist Harassment. Political Behavior, 39(3), 629–649. https://doi.org/10.1007/s11109-016-9373-5
  13. Newton, C. (2019). Why a top content moderation company quit the business instead of fixing its problems. Retrieved December 9, 2019, from The Verge website: https://www.theverge.com/interface/2019/11/1/20941952/cognizant-content-moderation-restructuring-facebook-twitter-google
  14. Pater, J. A., Kim, M. K., Mynatt, E. D., & Fiesler, C. (2016). Characterizations of online harassment: Comparing policies across social media platforms. Proceedings of the International ACM SIGGROUP Conference on Supporting Group Work, 1316November2016, 369–374. https://doi.org/10.1145/2957276.2957297
  15. Sharma, S., & Shrivastava, M. (2018). Degree based Classification of Harmful Speech using Twitter Data. Retrieved from https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge/data
  16. Srinivasan, A. (2018). The aptness of anger. Journal of Political Philosophy, 26(2), 123–144. https://doi.org/10.1111/jopp.12130
  17. Suler, J. (2004). The Online Disinhibition Effect. In CYBERPSYCHOLOGY & BEHAVIOR (Vol. 7).
  18. Tirrell, L. (2019). Toxic misogyny and the limits of counterspeech. Fordham Law Review.
  19. Twitter. (2019). Twitter Rules and Policies. Retrieved December 9, 2019, from https://help.twitter.com/en/rules-and-policies