The Tanbih mega-project aims to limit the effect of "fake news", propaganda and media bias by making users aware of what they are reading. The team believes that promoting media literacy and critical thinking is the best way to address disinformation and "fake news".  
Related publications

  • G. Da San Martino, S. Shaar, Y. Zhang, S. Yu, A. Barrón-Cedeño, and P. Nakov, “Prta: a system to support the analysis of propaganda techniques in the news,” in Proceedings of the 58th annual meeting of the association for computational linguistics: system demonstrations, Online, 2020, p. 287–293.
    [BibTeX] [Download PDF]
    title = "{P}rta: A System to Support the Analysis of Propaganda Techniques in the News",
    author = "Da San Martino, Giovanni and
    Shaar, Shaden and
    Zhang, Yifan and
    Yu, Seunghak and
    Barr{\'o}n-Cede{\~n}o, Alberto and
    Nakov, Preslav",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations",
    series = {ACL~'20},
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.acl-demos.32",
    pages = "287--293",
  • Y. Zhang, G. D. S. Martino, A. Barrón-Cedeño, S. Romeo, J. An, H. Kwak, T. Staykovski, I. Jaradat, G. Karadzhov, R. Baly, K. Darwish, and P. N. James Glass, “Tanbih: get to know what you are reading,” in Proceedings of the 2019 conference on empirical methods in natural language processing, Hong Kong, China, 2019, p. 223–228.
    author = "Yifan Zhang and Giovanni Da San Martino and Alberto Barrón-Cedeño and Salvatore Romeo and Jisun An and Haewoon Kwak and Todor Staykovski and Israa Jaradat and Georgi Karadzhov and Ramy Baly and Kareem Darwish and James Glass, Preslav Nakov",
    title = "Tanbih: Get To Know What You Are Reading",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing",
    month = {November},
    series = {EMNLP~'19},
    year = "2019",
    pages = "223--228",
    address = "Hong Kong, China",