Analyzing Labeled Cyberbullying Incidents on the Instagram Social Network

1. National Crime Prevention Council: National Crime Prevention Council (2011). http://en.wikipedia.org/wiki/Cyberbullying (accessed July 6, 2011)

2. Kowalski, R.M., Giumetti, G.W., Schroeder, A.N., Lattanner, M.R.: Bullying in the digital age: A critical review and meta-analysis of cyberbullying research among youth (2014)

   Google Scholar 

3. McNamee, D.: Cyberbullying ’causes suicidal thoughts in kids more than traditional bullying (2014). http://www.medicalnewstoday.com/articles/273788.php (accessed May 31, 2015)

4. Hinduja, S., Patchin, J.W.: Cyberbullying research summary, cyberbullying and suicide (2010)

   Google Scholar 

5. Menesini, E., Nocentini, A.: Cyberbullying definition and measurement. some critical considerations. Journal of Psychology 217, 320–323 (2009)

   Google Scholar 

6. Van Royen, K., Poels, K., Daelemans, W., Vandebosch, H.: Automatic monitoring of cyberbullying on social networking sites: From technological feasibility to desirability. Telematics and Informatics 32, 89–97 (2015)

   Article  Google Scholar 

7. Strickland, A.: Bullying by peers has effects later in life (2015). http://www.cnn.com/2015/05/08/health/bullying-mental-health-effects/index.html (accessed May 2015)

8. cbcNews: Jessica Logan - Victims of bullying (2008). http://www.cbsnews.com/pictures/victims-of-bullying/11/ (accessed May 31, 2015)

9. NoBullying.com: The top six cyberbullying case ever (2015). http://nobullying.com/six-unforgettable-cyber-bullying-cases/ (accessed May 31, 2015)

10. Kowalski, R.M., Limber, S., Limber, S.P., Agatston, P.W.: Cyberbullying: Bullying in the digital age. John Wiley & Sons (2012)

    Google Scholar 

11. Patchin, J.W., Hinduja, S.: An update and synthesis of the research. Cyberbullying prevention and response: Expert perspectives, p. 13 (2012)

    Google Scholar 

12. Hunter, S.C., Boyle, J.M., Warden, D.: Perceptions and correlates of peer-victimization and bullying. British Journal of Educational Psychology 77, 797–810 (2007)

    Article  Google Scholar 

13. Olweus, D.: Bullying at school: What we know and what we can do. Blackwell (1993)

    Google Scholar 

14. Olweus, D.: School bullying: Development and some important challenges. Annual Review of Clinical Psychology 9, 751–780 (2013)

    Article  Google Scholar 

15. Smith, P.K., del Barrio, C., Tokunaga, R.: Definitions of bullying and cyberbullying: how useful are the terms? routledge. In: Principles of Cyberbullying Research. Definitions, Measures and Methodology (2012)

    Google Scholar 

16. Dooley, J.J., Pyżalski, J., Cross, D.: Cyberbullying versus face-to-face bullying. Zeitschrift für Psychologie/Journal of Psychology 217, 182–188 (2009)

    Article  Google Scholar 

17. Monks, C.P., Smith, P.K.: Definitions of bullying: Age differences in understanding of the term, and the role of experience. British Journal of Developmental Psychology 24, 801–821 (2006)

    Article  Google Scholar 

18. Pyżalski, J.: Electronic aggression among adolescents: An old house with. Youth culture and net culture: Online social practices, p. 278 (2010)

    Google Scholar 

19. Limber, S.P., Kowalski, R.M., Agatston, P.A.: Cyber bullying: A curriculum for grades 6–12. Hazelden, Center City (2008)

    Google Scholar 

20. Ditch the Label Anti Bullying Charity: The annual cyberbullying survey 2013 (2013). http://www.ditchthelabel.org/annual-cyber-bullying-survey-cyber-bullying-statistics/

21. Hinduja, S.: Cyberbullying on Instagram (2013)

    Google Scholar 

22. Ptaszynski, M., Dybala, P., Matsuba, T., Masui, F., Rzepka, R., Araki, K., Momouchi, Y.: In the service of online order tackling cyberbullying with machine learning and affect analysis (2010)

    Google Scholar 

23. Dadvar, M., de Jong, F.M.G., Ordelman, R.J.F., Trieschnigg, R.B.: Improved cyberbullying detection using gender information. In: Proceedings of the Twelfth Dutch-Belgian Information Retrieval Workshop (DIR 2012), Ghent, Belgium, pp. 23–25. University of Ghent, Ghent (2012)

    Google Scholar 

24. Reynolds, K., Kontostathis, A., Edwards, L.: Using machine learning to detect cyberbullying. In: Fourth International Conference on Machine Learning and Applications, vol. 2, pp. 241–244 (2011)

    Google Scholar 

25. Dinakar, K., Jones, B., Havasi, C., Lieberman, H., Picard, R.: Common sense reasoning for detection, prevention, and mitigation of cyberbullying. ACM Trans. Interact. Intell. Syst. 2, 18:1–18:30 (2012)

    Article  Google Scholar 

26. Sanchez, H., Kumar, S.: Twitter bullying detection. In: NSDI 2012, Berkeley, CA, USA, p. 15. USENIX Association (2012)

    Google Scholar 

27. Kontostathis, A., Reynolds, K., Garron, A., Edwards, L.: Detecting cyberbullying: query terms and techniques. In: Proceedings of the 5th Annual ACM Web Science Conference, pp. 195–204. ACM (2013)

    Google Scholar 

28. Xu, J.M., Jun, K.S., Zhu, X., Bellmore, A.: Learning from bullying traces in social media. In: Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pp. 656–666. Association for Computational Linguistics (2012)

    Google Scholar 

29. Nahar, V., Al-Maskari, S., Li, X., Pang, C.: Semi-supervised learning for cyberbullying detection in social networks. In: Wang, H., Sharaf, M.A. (eds.) ADC 2014. LNCS, vol. 8506, pp. 160–171. Springer, Heidelberg (2014)

    Google Scholar 

30. Nahar, V., Li, X., Pang, C.: An effective approach for cyberbullying detection. In: Communications in Information Science and Management Engineering, CISME 2013 (2013)

    Google Scholar 

31. Dinakar, K., Reichart, R., Lieberman, H.: Modeling the detection of textual cyberbullying. In: The Social Mobile Web (2011)

    Google Scholar 

32. Nahar, V., Unankard, S., Li, X., Pang, C.: Sentiment analysis for effective detection of cyber bullying. In: Sheng, Q.Z., Wang, G., Jensen, C.S., Xu, G. (eds.) APWeb 2012. LNCS, vol. 7235, pp. 767–774. Springer, Heidelberg (2012)

    Chapter  Google Scholar 

33. Sood, S., Antin, J., Churchill, E.: Profanity use in online communities. In: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pp. 1481–1490. ACM (2012)

    Google Scholar 

34. Nandhini, B., Sheeba, J.: Cyberbullying detection and classification using information retrieval algorithm. In: Proceedings of the 2015 International Conference on Advanced Research in Computer Science Engineering & Technology (ICARCSET 2015), p. 20. ACM (2015)

    Google Scholar 

35. Nandhini, B.S., Sheeba, J.: Online social network bullying detection using intelligence techniques. Procedia Computer Science 45, 485–492 (2015)

    Article  Google Scholar 

36. Nalini, K., Sheela, L.J.: Classification of tweets using text classifier to detect cyber bullying. In: Satapathy, S.C., Govardhan, A., Raju, K.S., Mandal, J.K. (eds.) Emerging ICT for Bridging the Future - Volume 2. AISC, vol. 338, pp. 637–645. Springer, Heidelberg (2014)

    Google Scholar 

37. Huang, Q., Singh, V.K., Atrey, P.K.: Cyber bullying detection using social and textual analysis. In: Proceedings of the 3rd International Workshop on Socially-Aware Multimedia, pp. 3–6. ACM (2014)

    Google Scholar 

38. Potha, N., Maragoudakis, M.: Cyberbullying detection using time series modeling. In: 2014 IEEE International Conference on Data Mining Workshop (ICDMW), pp. 373–382. IEEE (2014)

    Google Scholar 

39. Kansara, K.B., Shekokar, N.M.: A framework for cyberbullying detection in social network (2015)

    Google Scholar 

40. Hosseinmardi, H., Rafiq, R.I., Li, S., Yang, Z., Han, R., Mishra, S., Lv, Q.: Comparison of common users across Instagram and Ask.fm to better understand cyberbullying. In: The 7th IEEE International Conference on Social Computing and Networking (SocialCom) (2014)

    Google Scholar 

41. Hosseinmardi, H., Ghasemianlangroodi, A., Han, R., Lv, Q., Mishra, S.: Towards understanding cyberbullying behavior in a semi-anonymous social network. In: Advances in Social Networks Analysis and Mining (ASONAM 2014), pp. 244–252 (2014)

    Google Scholar 

42. Weilenmann, A., Hillman, T., Jungselius, B.: Instagram at the museum: communicating the museum experience through social photo sharing. In: Proc. of the SIGCHI Conf. on Human Factors in Computing Systems, CHI 2013, pp. 1843–1852 (2013)

    Google Scholar 

43. Silva, T.H., de Melo, P.O.S.V., Almeida, J.M., Salles, J., Loureiro, A.A.F.: A picture of Instagram is worth more than a thousand words: workload characterization and application. In: DCOSS, pp. 123–132. IEEE (2013)

    Google Scholar 

44. Hu, Y., Manikonda, L., Kambhampati, S.: What we instagram: a first analysis of instagram photo content and user types. In: Proc. of the 8th International AAAI Conference on Weblogs and Social Media (ICWSM 2014) (2014)

    Google Scholar 

45. Araujo, C.S., Correa, L.P.D., da Silva, A.P.C., Prates, R.O., Meira Jr., W.: It is not just a picture: revealing some user practices in instagram. In: 2014 9th Latin American Web Congress (LA-WEB), pp. 19–23. IEEE (2014)

    Google Scholar 

46. NoSwearing.com: (Bad word list and swear filter) (accessed November 10, 2014)

    Google Scholar 

47. von Ahn’s Research Group, L.: Negative words list form. Luis von Ahn’s Research Group (2014)

    Google Scholar 

48. Pennebaker, J.M., Francis, M.E., Booth, R.J.: Linguistic Inquiry and Word Count. Lawerence Erlbaum Associates, Mahwah (2001)

    Google Scholar 

49. De Choudhury, M., Gamon, M., Counts, S., Horvitz, E.: Predicting depression via social media. In: International AAAI Conference on Weblogs and Social Media, Boston, MA (2013)

    Google Scholar 

Download references