Vol. 1 No. 1 (2024)
Platform Accountability and Content Moderation: Hate Speech and Incitement in African Contexts: Climate Change Dimensions
Abraham Kuol Nyuon, Associate Professor of Politics, Peace, and Security
DOI: 10.5281/zenodo.19551097
Published: January 19, 2024
Abstract
This article examines Platform Accountability and Content Moderation: Hate Speech and Incitement in African Contexts: Climate Change Dimensions with a focused emphasis on Democratic Republic of Congo within the field of Law. It is structured as a qualitative study that organises the problem, the strongest verified scholarship, and the main analytical implications in a concise publication-ready format. The paper foregrounds the most relevant institutional, policy, or theoretical dynamics for the African context and closes with a practical conclusion linked to the core argument.
Read the Full Article
The HTML galley is loaded below for inline reading and better discovery.
How to Cite
Abraham Kuol Nyuon (2024). Platform Accountability and Content Moderation: Hate Speech and Incitement in African Contexts: Climate Change Dimensions. African Human Rights Law Review (Law/Social/Political crossover), Vol. 1 No. 1 (2024). https://doi.org/10.5281/zenodo.19551097
Keywords
Content Moderation HateModeration Hate SpeechAfrican Contexts ClimateContexts Climate ChangeClimate Change DimensionsPlatform Accountability
Research Snapshot
Desktop reading viewLanguage
EN
Formats
HTML + PDF
Publication Track
Vol. 1 No. 1 (2024)
Current Journal
African Human Rights Law Review (Law/Social/Political crossover)
References
- Pour, H.N. (2023). Transitional justice and online social platforms: Facebook and the Rohingya genocide. International Journal of Law and Information Technology.
- Rudolph, J., Tan, S., & Tan, S. (2023). War of the chatbots: Bard, Bing Chat, ChatGPT, Ernie and beyond. The new AI gold rush and its impact on higher education. Journal of Applied Learning & Teaching.
- Ziems, C., Held, W.A., Shaikh, O.A., Chen, J., Zhang, Z., & Yang, D. (2023). Can Large Language Models Transform Computational Social Science?. Computational Linguistics.
- Vidgen, B., & Derczynski, L. (2020). Directions in abusive language training data, a systematic review: Garbage in, garbage out. PLoS ONE.