• Crowd Sourcing as an Improvement of N-Grams Text Document Classification Algorithm 

      Saloun P., Andrsic D., Cigankova B., Anagnostopoulos I. (2020)
      A common task in a world of natural language processing is text classification useful for e.g.spam filters, documents sorting, science articles classification or plagiarism detection. This can still be done best and most ...
    • Paid Crowdsourcing, Low Income Contributors, and Subjectivity 

      Haralabopoulos G., Wagner C., McAuley D., Anagnostopoulos I. (2019)
      Scientific projects that require human computation often resort to crowdsourcing. Interested individuals can contribute to a crowdsourcing task, essentially contributing towards the project's goals. To motivate participation ...
    • Privacy-Preserving Text Labelling Through Crowdsourcing 

      Haralabopoulos G., Torres M.T., Anagnostopoulos I., McAuley D. (2021)
      The extensive use of online social media has highlighted the importance of privacy in the digital space. As more scientists analyse the data created in these platforms, privacy concerns have extended to data usage within ...