Text and graph mining, fake news detection, news ranking, news recommendation, deep learning for text and graph data
WP3: Media Content Production & Analysis
University of Stavanger
Dr. Vinay Setty is an Associate Professor at the Department of Electrical Engineering and Computer Science. Before that he has been an Assistant Professor at Aalborg University in Denmark and Postdoctoral Researcher at Max Planck Institute for Informatics. Setty got is PhD from University of Oslo, Norway.
Dr. Setty’s recent research areas mainly include information retrieval, text and graph mining using machine learning techniques. Text mining includes dealing with unstructured text, specifically news documents for tasks such as fake news detection, news ranking, news recommendation etc. Graph mining involves training network embeddings for machine learning on graphs and knowledge graphs. He has over 30 publications including several publications in highly competitive conferences in the area of data mining and Information Retrieval TheWebConf, SIGIR, VLDB, CIKM and WSDM.
Proceedings of the 29th acm international conference on information knowledge management, pp. 3325–3328, 2020, (Pre SFI).
Brenda: Browser extension for fake news detection Journal Article
Proceedings of the 43rd international acm sigir conference on research and development in information retrieval, pp. 2117–2120, 2020, (Pre SFI).
Proceedings of the 2019 acm sigir international conference on theory of information retrieval, Association for Computing Machinery, New York, 2019, (Pre SFI).
Neural embeddings for news events Conference
The 41st international acm sigir conference on research development in information retrieval, Association for Computing Machinery Association for Computing Machinery, New York, 2018, (Pre SFI).
Proceedings of the tenth acm international conference on web search and data mining, Association for Computing Machinery New York, 2017, (Pre SFI).