• Automated false claims detection using deep neural networks 

      Rekve, Erlend (Masteroppgave/UIS-TN-IDE/2018;, Master thesis, 2018-06)
      Recently false claims and misinformation have become rampant in the web, affecting election outcomes, stock markets, and various other societal issues. Consequently, fact-checking and claim verification websites such as ...
    • Deep Neural Attention for Misinformation and Deception Detection 

      Mishra, Rahul (PhD thesis UiS;, Doctoral thesis, 2021-06)
      At present the influence of social media on society is so much that without it life seems to have no meaning for many. This kind of over-reliance on social media gives an opportunity to the anarchic elements to take undue ...
    • Falske nyhende i stortingsvalet 2017 

      Jøssang, Tor Inge (Masteroppgave/UIS-HF-IGIS/2018;, Master thesis, 2018-05-14)
      Falske nyhende har vore eit omdiskutert tema etter Brexit, presidentvalkampen i USA i 2016 og dei etterfølgjande vala i andre land. Denne studien forsøker å sjå på førekomsten av falske nyhende under stortingsvalet i 2017. ...
    • Sharing of fake news on social media: Application of the honeycomb framework and the third-person effect hypothesis 

      Talwar, Shalini; Dhir, Amandeep; Singh, Dilraj; Virk, Gurnam Singh; Salo, Jari (Peer reviewed; Journal article, 2020-11)
      Sharing of fake news on social media platforms is a global concern, with research offering little insight into the motives behind such sharing. This study adopts a mixed-method approach to explore fake-news sharing behaviour. ...