Multi-Context Based Neural Approach for COVID-19 Fake-News Detection
Author:
Affiliation:
1. Department of Artificial Intelligence, Indian Institute of Technology, Hyderabad, India
2. Department of Computer Science and Engineering, Indian Institute of Technology, Hyderabad, India
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3487553.3524662
Reference37 articles.
1. Spread of (mis)information in social networks
2. Maaz Amjad Grigori Sidorov Alisa Zhila Helena Gómez-Adorno Ilia Voronkov and Alexander Gelbukh. 2020. “Bend the truth”: Benchmark dataset for fake news detection in urdu language and its evaluation. Journal of Intelligent & Fuzzy SystemsPreprint (2020) 1–13. Maaz Amjad Grigori Sidorov Alisa Zhila Helena Gómez-Adorno Ilia Voronkov and Alexander Gelbukh. 2020. “Bend the truth”: Benchmark dataset for fake news detection in urdu language and its evaluation. Journal of Intelligent & Fuzzy SystemsPreprint (2020) 1–13.
3. Mohammed Azhan and Mohammad Kemal Ahmad. 2021. LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT. In CONSTRAINT@AAAI. Mohammed Azhan and Mohammad Kemal Ahmad. 2021. LaDiff ULMFiT: A Layer Differentiated training approach for ULMFiT. In CONSTRAINT@AAAI.
4. Many Americans believe fake news is sowing confusion;Barthel Michael;Pew Research Center,2016
5. Limiting the spread of misinformation in social networks
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