Skip to main content
SpringerLink
Log in

Analyzing Labeled Cyberbullying Incidents on the Instagram Social Network

  • Conference paper
  • First Online:
Social Informatics (SocInfo 2015)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9471))

Included in the following conference series:

Abstract

Cyberbullying is a growing problem affecting more than half of all American teens. The main goal of this paper is to study labeled cyberbullying incidents in the Instagram social network. In this work, we have collected a sample data set consisting of Instagram images and their associated comments. We then designed a labeling study and employed human contributors at the crowd-sourced CrowdFlower website to label these media sessions for cyberbullying. A detailed analysis of the labeled data is then presented, including a study of relationships between cyberbullying and a host of features such as cyberaggression, profanity, social graph features, temporal commenting behavior, linguistic content, and image content.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  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

Author information

Authors and Affiliations

  1. Computer Science Department, University of Colorado Boulder, Boulder, CO, USA

    Homa Hosseinmardi, Rahat Ibn Rafiq, Richard Han, Qin Lv & Shivakant Mishra

  2. Institute of Behavioral Science, University of Colorado Boulder, Boulder, CO, USA

    Sabrina Arredondo Mattson

Authors
  1. Homa Hosseinmardi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Sabrina Arredondo Mattson
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Rahat Ibn Rafiq
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Richard Han
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Qin Lv
    View author publications

    You can also search for this author in PubMed Google Scholar

  6. Shivakant Mishra
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Homa Hosseinmardi .

Editor information

Editors and Affiliations

  1. Microsoft Research Asia, Beijing, China

    Tie-Yan Liu

  2. Singapore Management University, Singapore, Singapore

    Christie Napa Scollon

  3. Tsinghua University, Beijing, China

    Wenwu Zhu

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this paper

Cite this paper

Hosseinmardi, H., Mattson, S.A., Ibn Rafiq, R., Han, R., Lv, Q., Mishra, S. (2015). Analyzing Labeled Cyberbullying Incidents on the Instagram Social Network. In: Liu, TY., Scollon, C., Zhu, W. (eds) Social Informatics. SocInfo 2015. Lecture Notes in Computer Science(), vol 9471. Springer, Cham. https://doi.org/10.1007/978-3-319-27433-1_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-27433-1_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-27432-4

  • Online ISBN: 978-3-319-27433-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation