Location
Hilton Hawaiian Village, Honolulu, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
3-1-2024 12:00 AM
End Date
6-1-2024 12:00 AM
Description
The growing spread of fake news on social media is a major scourge in society. To combat this problem, many studies have focused on different aspects to automatically detect fake news on social networks using artificial intelligence, especially Machine Learning. In the present work, to understand the current state of existing proposals, we conducted a systematic literature review. We propose to organize this literature in the light of a taxonomy of approaches.
Recommended Citation
Nguema Ngomo, Jean Gabriel; Torres De Paiva, Raquel; and Garcia, Ana Cristina, "Fake news detection by Machine Learning in Latin America: A Systematic Review" (2024). Hawaii International Conference on System Sciences 2024 (HICSS-57). 9.
https://aisel.aisnet.org/hicss-57/dsm/data_analytics/9
Fake news detection by Machine Learning in Latin America: A Systematic Review
Hilton Hawaiian Village, Honolulu, Hawaii
The growing spread of fake news on social media is a major scourge in society. To combat this problem, many studies have focused on different aspects to automatically detect fake news on social networks using artificial intelligence, especially Machine Learning. In the present work, to understand the current state of existing proposals, we conducted a systematic literature review. We propose to organize this literature in the light of a taxonomy of approaches.
https://aisel.aisnet.org/hicss-57/dsm/data_analytics/9