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Sustainable Smart Cities and Territories International Conference

SSCTIC 2021: Sustainable Smart Cities and Territories pp 289–299Cite as

Smart Cyber Victimization Discovery on Twitter

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Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 253))

Abstract

The advancement of technologies, the promotion of smartphones, and social networking have led to a high tendency among users to spend more time online interacting with each other via the available technologies. This is because they help overcome physical limitations and save time and energy by doing everything online. The rapid growth in this tendency has created the need for extra protection, by creating new rules and policies. However, sometimes users interrupt these rules and policies through unethical behavior. For example, bullying on social media platforms is a type of cyber victimization that can cause serious harm to individuals, leading to suicide. A firm step towards protecting the cyber society from victimization is to detect the topics that trigger the feeling of being a victim. In this paper, the focus is on Twitter, but it can be expanded to other platforms. The proposed method discovers cyber victimization by detecting the type of behavior leading to them being a victim. It consists of a text classification model, that is trained with a collected dataset of the official news since 2000, about suicide, self-harm, and cyberbullying. Results show that LinearSVC performs slightly better with an accuracy of 96%.

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References

  1. Bussey, K., Luo, A., Fitzpatrick, S., Allison, K.: Defending victims of cyberbullying: the role of self-efficacy and moral disengagement. J. School Psychol. 78, 1–12 (2020)

    Article  Google Scholar 

  2. Smith, P.K.: Research on cyberbullying: strengths and limitations. In: Vandebosch, H., Green, L. (eds.) Narratives in Research and Interventions on Cyberbullying Among Young People, pp. 9–27. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-04960-7_2

  3. Martínez-Monteagudo, M.C., Delgado, B., Díaz-Herrero, Á., García-Fernández, J.M.: Relationship between suicidal thinking, anxiety, depression and stress in university students who are victims of cyberbullying. Psychiatry Res. 286, 112856 (2020)

    Article  Google Scholar 

  4. Raza, M.O., Memon, M., Bhatti, S., Bux, R.: Detecting cyberbullying in social commentary using supervised machine learning. In: Arai, K., Kapoor, S., Bhatia, R. (eds.) FICC 2020. AISC, vol. 1130, pp. 621–630, Springer, Cham (2020). https://doi.org/10.1007/978-3-030-39442-4_45

  5. Google news API

    Google Scholar 

  6. Shoeibi, N., Mateos, A.M., Camacho, A.R., Corchado, J.M.: A feature based approach on behavior analysis of the users on Twitter: a case study of AusOpen tennis championship. In: Dong, Y., Herrera-Viedma, E., Matsui, K., Omatsu, S., González Briones, A., Rodríguez González, S. (eds.) DCAI 2020. AISC, vol. 1237, pp. 284–294, Springer, Cham (2020). https://doi.org/10.1007/978-3-030-53036-5_31

  7. Su, Y.-S., Wu, S.-Y.: Applying data mining techniques to explore user behaviors and watching video patterns in converged it environments. J. Ambient Intell. Humaniz. Comput. 1–8 (2021). https://doi.org/10.1007/s12652-020-02712-6

  8. Shoeibi, N.: Analysis of self-presentation and self-verification of the users on Twitter. In: Rodráguez González S., et al. (eds.) DCAI 2020. AISC, vol. 1242, pp. 221–226, Springer, Cham (2020). https://doi.org/10.1007/978-3-030-53829-3_25

  9. Marmo, R.: Social media mining. In: Encyclopedia of Organizational Knowledge, Administration, and Technology, pp. 2153–2165. IGI Global (2021)

    Google Scholar 

  10. Balakrishnan, V., Khan, S., Arabnia, H.R.: Improving cyberbullying detection using Twitter users’ psychological features and machine learning. Comput. Secur. 90, 101710 (2020)

    Article  Google Scholar 

  11. Vyawahare, M., Chatterjee, M.: Taxonomy of cyberbullying detection and prediction techniques in online social networks. In: Jain, L.C., Tsihrintzis, G.A., Balas, V.E., Sharma, D.K. (eds.) Data Communication and Networks. AISC, vol. 1049, pp. 21–37. Springer, Singapore (2020). https://doi.org/10.1007/978-981-15-0132-6_3

  12. Chamoso, P., González-Briones, A., De La Prieta, F., Venyagamoorthy, G.K., Corchado, J.M.: Smart city as a distributed platform: toward a system for citizen-oriented management. Comput. Commun. 152, 323–332 (2020)

    Article  Google Scholar 

  13. Yigitcanlar, T., Butler, L., Windle, E., Desouza, K.C., Mehmood, R., Corchado, J.M.: Can building “artificially intelligent cities" safeguard humanity from natural disasters, pandemics, and other catastrophes? An urban scholar’s perspective. Sensors 20(10), 2988 (2020)

    Article  Google Scholar 

  14. Casado-Vara, R., Rey, A.M.-d., Affes, S., Prieto, J., Corchado, J.M.: IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings. Future Gener. Comput. Syst. 102, 965–977 (2020)

    Google Scholar 

  15. González Bedia, M., Corchado Rodríguez, J.M., et al.: A planning strategy based on variational calculus for deliberative agents (2002)

    Google Scholar 

  16. Kumari, K., Singh, J.P., Dwivedi, Y.K., Rana, N.P.: Towards cyberbullying-free social media in smart cities: a unified multi-modal approach. Soft Comput. 24(15), 11059–11070 (2020)

    Article  Google Scholar 

  17. Gencoglu, O.: Cyberbullying detection with fairness constraints. IEEE Internet Comput. 25, 20–29 (2020)

    Article  Google Scholar 

  18. Muneer, A., Fati, S.M.: A comparative analysis of machine learning techniques for cyberbullying detection on Twitter. Future Internet 12(11), 187 (2020)

    Article  Google Scholar 

  19. Cheng, L., Shu, K., Wu, S., Silva, Y.N., Hall, D.L., Liu, H.: Unsupervised cyberbullying detection via time-informed Gaussian mixture model. arXiv preprint arXiv:2008.02642 (2020)

  20. Abbass, Z., Ali, Z., Ali, M., Akbar, B., Saleem, A.: A framework to predict social crime through Twitter tweets by using machine learning. In: 2020 IEEE 14th International Conference on Semantic Computing (ICSC), pp. 363–368 (2020)

    Google Scholar 

  21. Balakrishnan, V., Khan, S., Fernandez, T., Arabnia, H.R.: Cyberbullying detection on Twitter using big five and dark triad features. Pers. Individ. Differ. 141, 252–257 (2019)

    Article  Google Scholar 

  22. Sadiq, S., Mehmood, A., Ullah, S., Ahmad, M., Choi, G.S., On, B.-W.: Aggression detection through deep neural model on twitter. Future Gener. Comput. Syst. 114, 120–129 (2021)

    Article  Google Scholar 

  23. Corchado, J.M., Chamoso, P., Hernández, G., Gutierrez, A.S.R., Camacho, A.R., González-Briones, A., Pinto-Santos, F., Goyenechea, E., Garcia-Retuerta, D., Alonso-Miguel, M., et al.: Deepint. net: A rapid deployment platform for smart territories. Sensors 21(1), 236 (2021). Multidisciplinary Digital Publishing Institute

    Google Scholar 

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Acknowledgments

This research has been supported by the project “Intelligent and sustainable mobility supported by multi-agent systems and edge computing (InEDGEMobility): Towards Sustainable Intelligent Mobility: Blockchain-based framework for IoT Security”, Reference: RTI2018-095390-B-C31/32/33, financed by the Spanish Ministry of Science, Innovation and Universities (MCIU), the State Research Agency (AEI) and the European Regional Development Fund (FEDER).

Author information

Authors and Affiliations

  1. BISITE Research Group, University of Salamanca, Salamanca, Spain

    Niloufar Shoeibi & Pablo Chamoso

  2. Babol Noshirvani University of Technology, Babol, Iran

    Nastaran Shoeibi

  3. Department of Computer Systems and Computation, Universitat Politècnica de València, València, Spain

    Vicente Julian

  4. Universidad Rey Juan Carlos, Madrid, Spain

    Sascha Ossowski

  5. Department of Computer and Automation, University of Salamanca, Salamanca, Spain

    Angelica González Arrieta

Authors
  1. Niloufar Shoeibi
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  2. Nastaran Shoeibi
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  3. Vicente Julian
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  4. Sascha Ossowski
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  5. Angelica González Arrieta
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  6. Pablo Chamoso
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Corresponding author

Correspondence to Niloufar Shoeibi .

Editor information

Editors and Affiliations

  1. Department of Computing Science, Universidad Salamanca, Salamanca, Spain

    Juan M. Corchado

  2. Texas A&M University at Qatar, Doha, Qatar

    Saber Trabelsi

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Cite this paper

Shoeibi, N., Shoeibi, N., Julian, V., Ossowski, S., Arrieta, A.G., Chamoso, P. (2022). Smart Cyber Victimization Discovery on Twitter. In: Corchado, J.M., Trabelsi, S. (eds) Sustainable Smart Cities and Territories. SSCTIC 2021. Lecture Notes in Networks and Systems, vol 253. Springer, Cham. https://doi.org/10.1007/978-3-030-78901-5_25

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