Artificial Intelligence to Address Cyberbullying, Harassment and Abuse: New Directions in the Midst of Complexity

被引:6
作者
Milosevic T. [1 ]
Van Royen K. [2 ]
Davis B. [3 ]
机构
[1] Anti-Bullying Centre and ADAPT SFI, Dublin City University, Lower Drumcondra Road Dublin 9, Co., Dublin
[2] University of Antwerp, Sint-Jacobstraat, Antwerpen
[3] School of Computing and ADAPT SFI, Dublin City University, Glasnevin Campus, Room Number, Dublin
基金
欧盟地平线“2020”; 爱尔兰科学基金会;
关键词
Abuse; Cyberbullying; Moderation;
D O I
10.1007/s42380-022-00117-x
中图分类号
学科分类号
摘要
This brief article serves as an introductory piece for the special issue “The Use of Artificial Intelligence (AI) to Address Online Bullying and Abuse.” It provides an overview of the state of the art with respect to the use of AI in addressing various types of online abuse and cyberbullying; current challenges for the field; and it emphasises the need for greater interdisciplinary collaboration on this topic. The article also summarises key contributions of the articles selected for the special issue. © 2022, The Author(s).
引用
收藏
页码:1 / 5
页数:4
相关论文
共 36 条
  • [1] Australian Government.
  • [2] Balakrishnan V., Khan S., Fernandez T., Arabnia H.R., Cyberbullying detection on twitter using Big Five and Dark Triad features, Personality and Individual Differences, 141, pp. 252-257, (2019)
  • [3] Charting a way forward on online content regulation. Facebook, Retrieved From, (2020)
  • [4] Cheng L., Silva Y.N., Hall D., Liu H., Session-based cyberbullying detection: Problems and challenges, IEEE Internet Computing, 25, 2, pp. 66-72, (2020)
  • [5] Chia Z.L., Ptaszynski M., Masui F., Leliwa G., Wroczynski M., Machine learning and feature engineering-based study into sarcasm and irony classification with application to cyberbullying detection, Information Processing & Management, 58, 4, (2021)
  • [6] Davis A., Meta Global Safety and Wellbeing Summit, (2019)
  • [7] Devlin J., Chang M.W., Lee K., Toutanova K., Bert: Pre-training of deep bidirectional transformers for language understanding, (2018)
  • [8] Emmery C., Verhoeven B., De Pauw G., Jacobs G., Van Hee C., Lefever E., Daelemans W., Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity, Language Resources and Evaluation, 55, 3, pp. 597-633, (2021)
  • [9] Facebook Qnnotation: Instagram-Teen-Annotated-Research-Deck-1, (2021)
  • [10] Facebook A.I., AI Advances to Better Detect Hate Speech, (2020)