Disinformation Analysis on Social Media , Machine Learning, Deep Learning, Natural Language Processing

1. Ashfaq Ali Shafin and Khandaker Mamun Ahmed. "Toxicity in State Sponsored Information Operations". In Proceedings of the 36th ACM Conference on Hypertext and Social Media (HT 2025), September 2025. DOI; https://doi.org/10.1145/3720553.3746680

2. Ashfaq Ali Shafin and Bogdan Carbunar. "Duplicating Deceit: Inauthentic Behavior Among Indian Misinformation Duplicators on X/Twitter". Accepted in the 17th  International Conference on Advances in Social Networks Analysis and Mining (ASONAM). DOI: https://doi.org/10.48550/arXiv.2507.13636

3. Ashfaq Ali Shafin,  Khandaker Mamun Ahmed, "The Language of Influence: Sentiment, Emotion, and Hate Speech in State Sponsored Influence Operations", In Proceedings of the 18th ACM International Conference on PErvasive Technologies Related to Assistive Environments (PETRA '25), June 2025. DOI: https://doi.org/10.1145/3733155.3734898

4. Zaid Hakami, Ashfaq Ali Shafin, Peter J. Clarke, Niki Pissinou, and Bogdan Carbunar. "Victim-Centred Abuse Investigations and Defenses for Social Media Platforms." arXiv preprint arXiv:2503.01327 (2025), Accepted in the Symposium on Usable Security and Privacy (USEC) 2025

5. Ruben Recabarren, Bogdan Carbunar, Nestor Hernandez, and Ashfaq Ali Shafin, "Strategies and Vulnerabilities of Participants in Venezuelan Influence Operations", In the 32nd Usenix Security Symposium, August 2023. DOI: https://doi.org/10.48550/arXiv.2210.11673

6. Saad Almohaimeed, Saleh Almohaimeed, Ashfaq Ali Shafin, Bogdan Carbunar, Ladislau Boloni, "THOS: A Benchmark Dataset for Targeted Hate and Offensive Speech", Accepted in the Proceedings of the 40th International Conference on Machine Learning (DMLR Workshop), July 2023. 

1. Md. Rayhan Ahmed, Towhidul Islam Robin, Ashfaq Ali Shafin, "Automatic Environmental Sound Recognition (AESR) Using Convolutional Neural Network", International Journal of Modern Education and Computer Science(IJMECS), Vol.12, No.5, pp. 41-54, 2020.DOI: 10.5815/ijmecs.2020.05.04 

2. Md. Rayhan Ahmed, Ashfaq Ali Shafin, "Statistical and Machine Learning Analysis of Impact of Population and Gender Effect in GDP of Bangladesh: A Case Study", International Journal of Information Technology and Computer Science (IJITCS), Vol.12, No.1, pp.24-33, 2020. DOI: 10.5815/ijitcs.2020.01.04

3. Ashfaq Ali Shafin, "Machine Learning Approach to Forecast Average Weather Temperature of Bangladesh", Global Journal of Computer Science and Technology, Vol 19, No 3-D(2019), pp.39-48, July 2019. ISSN 0975-4172

Detecting Fake Reviews Using Yelp Dataset 

Abstract: In the current era of digital world, e-commerce sites are leading in marketing. Products are marketed through these markets where consumers can find their desired products within a short period of time. Consumers increasingly rate, review and research products online. Genuine reviews of a product portray the product’s features and attributes. It helps a business to grow or fall down. Unfortunately, imposters have a strong incentive to game the system by posting fake reviews to promote or demote a certain product or business. We aim to analyze these reviews and classify the fake and non-fake reviews using text analysis and behavioral attributes of a reviewer.