Identifying Covid-19 misinformation tweets and learning their spatio-temporal topic dynamics using Nonnegative Coupled Matrix Tensor Factorization
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-021-00767-7.pdf
Reference70 articles.
1. Abdali S, Shah N, Papalexakis EE (2020) HiJoD: Semi-supervised multi-aspect detection of misinformation using hierarchical joint decomposition. arXiv preprint, arXiv:2005.04310
2. Acar E, Levin-Schwartz Y, Calhoun VD, Adali T (2017) ACMTF for fusion of multi-modal neuroimaging data and identification of biomarkers. In: 2017 25th European signal processing conference (EUSIPCO). IEEE, pp 643–647
3. Allcott H, Gentzkow M (2017) Social media and fake news in the 2016 election. J Econ Perspect 31(2):211–36
4. Bahargam S, Papalexakis EE (2018) Constrained coupled matrix-tensor factorization and its application in pattern and topic detection. In: 2018 IEEE/ACM international conference on advances in social networks analysis and mining (ASONAM). IEEE, pp 91–94
5. Balasubramaniam T, Nayak R, Yuen C (2019) Sparsity constraint nonnegative tensor factorization for mobility pattern mining. In: Pacific Rim international conference on artificial intelligence (PRICAI). Springer, Berlin, pp 582–594
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