Detecting personality traces in users’ social activity

Styliani Kleanthous, Constantinos Herodotou, George Samaras, Panayiotis Germanakos

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    Abstract

    The effect that social media have in our lives nowadays is apparent. Many studies focused on how the differences we hold as people due to our personality, reflect our activities online. In this work we aim to exploit reports of previous work to implicitly build a personality model of Facebook users, based on their Facebook activity. An initial evaluation study shows that using Facebook activity data, we can extract information on user personality and at the same time points in further improvements necessary for more accurate personality prediction.

    Original languageEnglish
    Title of host publicationSocial Computing and Social Media - 8th International Conference, SCSM 2016 and Held as Part of HCI International 2016, Proceedings
    PublisherSpringer Verlag
    Pages287-297
    Number of pages11
    Volume9742
    ISBN (Print)9783319399096
    DOIs
    Publication statusPublished - 2016
    Event8th International Conference on Social Computing and Social Media, SCSM 2016 and 18th International Conference on Human-Computer Interaction, HCI International 2016 - Toronto, Canada
    Duration: 17 Jul 201622 Jul 2016

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume9742
    ISSN (Print)0302-9743
    ISSN (Electronic)1611-3349

    Other

    Other8th International Conference on Social Computing and Social Media, SCSM 2016 and 18th International Conference on Human-Computer Interaction, HCI International 2016
    Country/TerritoryCanada
    CityToronto
    Period17/07/1622/07/16

    Keywords

    • Big five personality model
    • Social networks
    • User modeling

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