Open Access
| Issue |
E3S Web Conf.
Volume 412, 2023
International Conference on Innovation in Modern Applied Science, Environment, Energy and Earth Studies (ICIES’11 2023)
|
|
|---|---|---|
| Article Number | 01102 | |
| Number of page(s) | 9 | |
| DOI | https://doi.org/10.1051/e3sconf/202341201102 | |
| Published online | 17 August 2023 | |
- Gunning, D., & Ferguson, J. (2021). Artificial intelligence-generated text and its impact on environmental discourse. Journal of Environmental Communication, 5(2), 153-168. [Google Scholar]
- Nguyen, T., & Le-Khac, N. (2022). Detecting AI-generated text for environmental misinformation identification. Environmental Informatics, 37(1), 45-58. [Google Scholar]
- O’Brien, M., & Pearce, J. (2020). The use of AI-generated text in environmental advocacy: Opportunities and challenges. Environmental Science & Policy, 114, 101-108. [Google Scholar]
- Reynolds, L. E., & Medvedev, O. (2021). Misinformation and disinformation in environmental campaigns: Challenges and strategies for detection and debunking. Environmental Communication, 15(4), 457-474. [Google Scholar]
- Schäfer, M. S., & Boykoff, M. T. (2018). Climate change and journalistic norms: A case-study of US mass-media coverage. Oxford Research Encyclopedia of Climate Science. [Google Scholar]
- Shu, K., et al. (2019). Fake news detection on social media: A data mining perspective. ACM SIGKDD Explorations Newsletter, 21(1), 22-36. [Google Scholar]
- Stark, L., & Oboler, A. (2019). The rise of the weaponized AI propaganda machine. Institute for the Future. [Google Scholar]
- Sudhahar, S., & Anitha, K. (2021). Detection of AI-generated text for environmental misinformation identification using machine learning techniques. Journal of Ambient Intelligence and Humanized Computing, 12(9), 12919-12932. [Google Scholar]
- Törnberg, P., & Törnberg, A. (2021). Fact-checking, fake news, and the future of environmental journalism. Journalism Studies, 22(1), 116-135. [Google Scholar]
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