360 Degrees rumor detection: When explanations got some explaining to do

Author:

Janssens BramORCID,Schetgen LisaORCID,Bogaert MatthiasORCID,Meire Matthijs,Van den Poel DirkORCID

Publisher

Elsevier BV

Subject

Information Systems and Management,Management Science and Operations Research,Modeling and Simulation,General Computer Science,Industrial and Manufacturing Engineering

Reference58 articles.

1. Fake news identification on Twitter with hybrid CNN and RNN models;Ajao,2018

2. Deep learning-based rumor detection on microblogging platforms: A systematic review;Al-Sarem;IEEE Access,2019

3. A novel hybrid deep learning model for detecting COVID-19-related rumors on social media based on LSTM and concatenated parallel CNNs;Al-Sarem;Applied Sciences,2021

4. HANN: Hybrid attention neural network for detecting Covid-19 related rumors;Almars;IEEE Access,2022

5. Alqurashi, S., Hamoui, B., Alashaikh, A., Alhindi, A., & Alanazi, E. (2021). Eating garlic prevents COVID-19 infection: Detecting misinformation on the Arabic content of Twitter. arXiv preprint arXiv:2101.05626.

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