Anu Shrestha
Orcid: 0000-0002-5379-695X
According to our database1,
Anu Shrestha
authored at least 15 papers
between 2018 and 2024.
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Bibliography
2024
Joint Credibility Estimation of News, User, and Publisher via Role-relational Graph Convolutional Networks.
ACM Trans. Web, February, 2024
2022
Int. J. Data Sci. Anal., 2022
2021
That's Fake News! Reliability of News When Provided Title, Image, Source Bias & Full Article.
Proc. ACM Hum. Comput. Interact., 2021
Proceedings of the Workshop on Misinformation Integrity in Social Networks 2021 co-located with 30th The Web Conference (TheWebConf 2021), 2021
An Empirical Analysis of Collaborative Recommender Systems Robustness to Shilling Attacks.
Proceedings of the Second Workshop on Online Misinformation- and Harm-Aware Recommender Systems co-located with 15th ACM Conference on Recommender Systems (RecSys 2021), 2021
Textual Characteristics of News Title and Body to Detect Fake News: A Reproducibility Study.
Proceedings of the Advances in Information Retrieval, 2021
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021
2020
Multi-modal social and psycho-linguistic embedding via recurrent neural networks to identify depressed users in online forums.
Netw. Model. Anal. Health Informatics Bioinform., 2020
Proceedings of the Disinformation in Open Online Media, 2020
DeepTrust: An Automatic Framework to Detect Trustworthy Users in Opinion-based Systems.
Proceedings of the CODASPY '20: Tenth ACM Conference on Data and Application Security and Privacy, 2020
Detecting Fake News Spreaders in Social Networks via Linguistic and Personality Features.
Proceedings of the Working Notes of CLEF 2020, 2020
2019
Proceedings of the Influence and Behavior Analysis in Social Networks and Social Media, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019
2018
Who is Really Affected by Fraudulent Reviews? An analysis of shilling attacks on recommender systems in real-world scenarios.
CoRR, 2018