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International Visual Informatics Conference

IVIC 2021: Advances in Visual Informatics pp 77–89Cite as

Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 13051))

Abstract

This paper is about establishing field of study on the proposed development of a multilingual model for auto-detection of cyberbullying using fuzzy-crisp rules and Internet crowd data among Malaysian. From the time of preliminary study conducted, there was no cyberbully detection tool reported in Malaysia. This study intends to formulate an improved algorithm using fuzzy and crisp rules that is able to detect cyberbullying incidents in Malaysia society based on English and Malay languages. Some literature reviews and preliminary findings are attached and discussed to give more view about the research. This paper also encompasses on the methodology and activities to be carried out in achieving the objectives, along with the research expectations.

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References

  1. Chai, D.: Standing together to curb bullying | UNICEF Malaysia. https://www.unicef.org/malaysia/stories/standing-together-curb-bullying. Last Accessed June 2021

  2. R.E.A.L Education Group: Anti-bullying campaign. https://real.edu.my/anti-bullying-campaign/. Last Accessed 30 June 2021

  3. Quah, E.: Beauty queen takes on cyberbullying | The Star. https://www.thestar.com.my/metro/metro-news/2018/10/15/beauty-queen-takes-on-cyberbullying. Last Accessed 30 June 2021

  4. theSundaily: Nickelodeon announces its anti-bullying campaign in Malaysia. https://www.thesundaily.my/archive/nickelodeon-announces-its-anti-bullying-campaign-malaysia-XTARCH468385. Last Accessed 30 June 2021

  5. R.AGE team: Support – #StandTogether: ending school bullying through kindness. https://standtogether.my/support/. Last Accessed 30 June 2021

  6. Facebook: Bullying prevention hub. https://web.facebook.com/safety/bullying. Last Accessed 30 June 2021

  7. Instagram: Instagram help Centre. https://help.instagram.com/. Last Accessed 30 June 2021

  8. mint: Instagram is taking cyberbullying seriously, introduces “shadow ban”. https://www.livemint.com/technology/tech-news/instagram-is-taking-cyberbullying-seriously-introduces-shadow-ban-1562648818682.html. Last Accessed 30 June 2021

  9. Twitter: How to report abusive behavior on Twitter | Twitter Help. https://help.twitter.com/en/safety-and-security/report-abusive-behavior. Last Accessed 30 June 2021

  10. CyberSecurity Malaysia: CyberSAFE. https://www.cybersafe.my/en/. Last Accessed 30 June 2021

  11. The Straits Times: Malaysia teen Nhaveen dies after brutal assault by bullies, SE Asia news & top stories – the straits times. https://www.straitstimes.com/asia/se-asia/malaysia-teen-nhaveen-dies-after-brutal-assault-by-bullies. Last Accessed 30 June 2021

  12. Gunaratnam, S.: Bullied, murdered UPNM naval cadet: five students charged with murder. https://www.nst.com.my/news/crime-courts/2017/06/248852/bullied-murdered-upnm-naval-cadet-five-students-charged-murder. Last Accessed 30 June 2021

  13. Nortajuddin, A.: Does Malaysia have a cyberbullying problem? The ASEAN Post. https://theaseanpost.com/article/does-malaysia-have-cyberbullying-problem. Last Accessed 30 June 2021

  14. IPSOS: Malaysian and Global Views on Cyberbullying

    Google Scholar 

  15. Meikeng, Y., Lee, L.M., Clarissa, S.: Our teens are bullies. https://www.thestar.com.my/news/nation/2018/03/18/behaving-badly-in-cyberspace-malaysian-teens-more-likely-to-be-cyberbullies-than-victims-says-study. Last Accessed 22 Aug 2021

  16. Nur, A.: Malaysia surpasses 26 countries to become 2nd in Asia for … cyber-bullying. https://www.thesundaily.my/local/malaysia-surpasses-26-countries-to-become-2nd-in-asia-for-cyber-bullying-DD2948511. Last Accessed 30 June 2021

  17. Adams, D.: Teen commits suicide after Instagram poll, Digit. https://digit.fyi/teen-commits-suicide-after-instagram-poll/. Last Accessed 30 June 2021

  18. Chern, L.T.: Cyberbullying victim leaves suicide note. https://www.thestar.com.my/news/nation/2020/05/22/cyberbullying-victim-leaves-suicide-note. Last Accessed 24 Sep 2020

  19. Salawu, S., He, Y., Lumsden, J.: Approaches to automated detection of cyberbullying: a survey. IEEE Trans. Affect. Comput. 11, 3–24 (2020). https://doi.org/10.1109/TAFFC.2017.2761757

    Article  Google Scholar 

  20. Aind, A.T., Ramnaney, A., Sethia, D.: Q-Bully: a reinforcement learning based cyberbullying detection framework. In: 2020 International Conference for Emerging Technology (INCET), pp. 1–6 (2020). https://doi.org/10.1109/INCET49848.2020.9154092

  21. Banerjee, V., Telavane, J., Gaikwad, P., Vartak, P.: Detection of cyberbullying using deep neural network. In: 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), pp. 604–607 (2019). https://doi.org/10.1109/ICACCS.2019.8728378

  22. Al-Ajlan, M.A., Ykhlef, M.: Optimized twitter cyberbullying detection based on deep learning. In: 2018 21st Saudi Computer Society National Computer Conference (NCC), pp. 1–5 (2018). https://doi.org/10.1109/NCG.2018.8593146

  23. Rosa, H., Carvalho, J.P., Calado, P., Martins, B., Ribeiro, R., Coheur, L.: Using fuzzy fingerprints for cyberbullying detection in social networks. In: 2018 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), pp. 1–7 (2018). https://doi.org/10.1109/FUZZ-IEEE.2018.8491557

  24. Van Hee, C., et al.: Automatic detection of cyberbullying in social media text. PLoS One 13, (2018). https://doi.org/10.1371/journal.pone.0203794

  25. Balakrishnan, V., Khan, S., Arabnia, H.R.: Improving cyberbullying detection using Twitter users’ psychological features and machine learning. Comput. Secur. 90, 101710 (2020). https://doi.org/10.1016/j.cose.2019.101710

    Article  Google Scholar 

  26. Özel, S.A., Saraç, E., Akdemir, S., Aksu, H.: Detection of cyberbullying on social media messages in Turkish. In: 2017 International Conference on Computer Science and Engineering (UBMK), pp. 366–370 (2017). https://doi.org/10.1109/UBMK.2017.8093411

  27. Al-Garadi, M.A., Varathan, K.D., Ravana, S.D.: Cybercrime detection in online communications: The experimental case of cyberbullying detection in the Twitter network. Comput. Human Behav. 63, 433–443 (2016). https://doi.org/10.1016/j.chb.2016.05.051

  28. Chatzakou, D., et al.: Detecting cyberbullying and cyberaggression in social media. ACM Trans. Web. 13, (2019). https://doi.org/10.1145/3343484

  29. Nandhini, B.S., Sheeba, J.I.: Online social network bullying detection using intelligence techniques. Procedia Comput. Sci. 45, 485–492 (2015). https://doi.org/10.1016/j.procs.2015.03.085.

  30. Saravanaraj, A., Sheeba, J.I., Devaneyan, S.P.: Automatic detection of cyberbullying from Twitter. Int. J. Comput. Sci. Inf. Technol. Secur. 6, 2249–9555 (2019)

    Google Scholar 

  31. Sood, S.M.M., Hua, T.K., Hamid, B.A.: Cyberbullying through intellect-related insults. Malaysian J. Commun. 36, 278–297 (2020)

    Google Scholar 

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Author information

Authors and Affiliations

  1. Institute of Informatics and Computing in Energy (IICE), Universiti Tenaga Nasional, Putrajaya Campus, Jalan Ikram-Uniten, 43000, Kajang, Selangor, Malaysia

    Marina Md Din, Fiza Abdul Rahim, Rina Md. Anwar, Asmidar Abu Bakar & Aliza Abdul Latif

  2. Universiti Teknologi Malaysia, Jalan Sultan Yahya Petra, 54100, Kuala Lumpur, Malaysia

    Fiza Abdul Rahim

Authors
  1. Marina Md Din
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  2. Fiza Abdul Rahim
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  3. Rina Md. Anwar
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  4. Asmidar Abu Bakar
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  5. Aliza Abdul Latif
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Corresponding author

Correspondence to Marina Md Din .

Editor information

Editors and Affiliations

  1. Universiti Tenaga Nasional, Selangor, Malaysia

    Halimah Badioze Zaman

  2. Dublin City University, Dublin, Ireland

    Alan F. Smeaton

  3. National Central University, Jhongli, Taiwan

    Timothy K. Shih

  4. Queen Mary University of London, London, UK

    Sergio Velastin

  5. Toyo University, Tokyo, Japan

    Tada Terutoshi

  6. University of Southern Denmark, Odense, Denmark

    Bo Nørregaard Jørgensen

  7. Universiti Tenaga Nasional, Selangor, Malaysia

    Hazleen Aris

  8. Universiti Tenaga Nasional, Selangor, Malaysia

    Nazrita Ibrahim

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Md Din, M., Rahim, F.A., Md. Anwar, R., Abu Bakar, A., Latif, A.A. (2021). Establishing Field of Study: Towards Development of a Multilingual Model for Auto-detection of Cyberbullying Using Fuzzy-Crisp Rules and Internet Crowd Data. In: Badioze Zaman, H., et al. Advances in Visual Informatics. IVIC 2021. Lecture Notes in Computer Science(), vol 13051. Springer, Cham. https://doi.org/10.1007/978-3-030-90235-3_7

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  • DOI: https://doi.org/10.1007/978-3-030-90235-3_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-90234-6

  • Online ISBN: 978-3-030-90235-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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