Browsing Conference papers by Author "Stamatelatos, Giorgos"

Now showing items 1-5 of 5

  • Deriving the Political Affinity of Twitter Users from Their Followers 

    Stamatelatos, Giorgos; Gyftopoulos, Sotirios; Drosatos, George; Efraimidis, Pavlos S. (IEEE, 2018)
    In this work, we show that Twitter users can reveal valuable political information about particular Nodes of Interest (NOIs) they opt to follow. More precisely, we utilize an interesting graph projection method and a series ...

  • DUTH at TREC 2013 Contextual Suggestion Track 

    Drosatos, George; Stamatelatos, Giorgos; Arampatzis, Avi; Efraimidis, Pavlos S. (2013)
    In this report we give an overview of our participation in the TREC 2013 Contextual Suggestion Track. We present an approach for context processing that comprises a newly designed and fine-tuned POI (Point Of Interest) ...

  • Privacy Leakages about Political Beliefs through Analysis of Twitter Followers 

    Briola, Helen; Drosatos, George; Stamatelatos, Giorgos; Gyftopoulos, Sotirios; Efraimidis, Pavlos S. (Pan-Hellenic Conference on Informatics, 2018-11)
    In this paper, we focus on privacy leakages about Twitter usersand show that simply establishing follower and friend connectionsin the Twitter network might be enough to reveal sensitive in-formation about the political ...

  • Privacy Leakages about Political Beliefs through Analysis of Twitter Followers 

    Briola, Helen; Drosatos, George; Stamatelatos, Giorgos; Gyftopoulos, Sotirios; Efraimidis, Pavlos S. (ICPS Proceedings, 2018-11)
    In this paper, we focus on privacy leakages about Twitter users and show that simply establishing follower and friend connections in the Twitter network might be enough to reveal sensitive information about the political ...

  • Pythia: A Privacy-enhanced Personalized Contextual Suggestion System for Tourism 

    Drosatos, George; Efraimidis, Pavlos S.; Arampatzis, Avi; Stamatelatos, Giorgos; Athanasiadis, Ioannis N. (COMPSAC, 2015-07)
    We present Pythia, a privacy-enhanced non-invasive contextual suggestion system for tourists, with important architectural innovations. The system offers high quality personalized recommendations, non-invasive operation ...