• Expression of Interest

    Misinformation (Fake news, rumors, etc.) and hate speech detection on online social platforms - University of Tartu, Estonia (Partner for Project)

    Computational social science group (https://css.cs.ut.ee/), at the University of Tartu, Estonia, lead by Dr. Rajesh Sharma, is actively working in the domain of Misinformation (Fake news, rumors, etc.) and hate speech detection on online social platforms. Specifically, the group has analysed misinformation detection on YouTube, Tweeter, and other publicly available datasets. We have specifically applied techniques related to AI (classical machine learning and state of the art deep learning techniques, including graph neural networks), Knowledge Graph, Network Science (Social Network Analysis), and Natural Language Processing.

    Group is part of EU H2020 project SoBigData and CHIST-ERA SAI.

    Related Publications:

    Identifying possible rumor spreaders on twitter: A weak supervised learning approach
    S Sharma, R Sharma
    2021 International Joint Conference on Neural Networks (IJCNN), 1-8

    Misleading the Covid-19 vaccination discourse on Twitter: An exploratory study of infodemic around the pandemic
    S Sharma, R Sharma, A Datta
    arXiv preprint arXiv:2108.10735

    DEAP-FAKED: Knowledge Graph based Approach for Fake News Detection
    M Mayank, S Sharma, R Sharma
    arXiv preprint arXiv:2107.10648

    Misinformation Detection on YouTube Using Video Captions
    R Jagtap, A Kumar, R Goel, S Sharma, R Sharma, CP George
    arXiv preprint arXiv:2107.00941

    Keywords
    Misinformation detection (Fake news and rumor)
    Hate Speech
    Online Social Platforms
    Graph Neural Networks
    Knowledge Graphs
    Artificial Intelligence (AI)

    Dr. Rajesh is working as Associate Prof. at the Institute of Computer Science, at University of Tartu. He has written over 50+ articles. 
    Institute of Computer Science is Ranked among the 176-200 best universities in the world in the field of computer science.

     

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