dc.contributor.author | Kleanthous, Styliani | en |
dc.contributor.author | Herodotou, C. | en |
dc.contributor.author | Samaras, George S. | en |
dc.contributor.author | Germanakos, Panagiotis | en |
dc.contributor.editor | Meiselwitz G. | en |
dc.creator | Kleanthous, Styliani | en |
dc.creator | Herodotou, C. | en |
dc.creator | Samaras, George S. | en |
dc.creator | Germanakos, Panagiotis | en |
dc.date.accessioned | 2019-11-13T10:40:43Z | |
dc.date.available | 2019-11-13T10:40:43Z | |
dc.date.issued | 2016 | |
dc.identifier.issn | 0302-9743 | |
dc.identifier.uri | http://gnosis.library.ucy.ac.cy/handle/7/54268 | |
dc.description.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. © Springer International Publishing Switzerland 2016. | en |
dc.source | 8th International Conference on Social Computing and Social Media, SCSM 2016 and 18th International Conference on Human-Computer Interaction, HCI International 2016 | en |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-84978849151&doi=10.1007%2f978-3-319-39910-2_27&partnerID=40&md5=741a93ffad7833f558caf37a6181b381 | |
dc.subject | Social networks | en |
dc.subject | Behavioral research | en |
dc.subject | Human computer interaction | en |
dc.subject | Social media | en |
dc.subject | Social networking (online) | en |
dc.subject | User modeling | en |
dc.subject | Evaluation study | en |
dc.subject | Big five personality model | en |
dc.subject | Extract informations | en |
dc.subject | Personality modeling | en |
dc.subject | Personality predictions | en |
dc.subject | Social activities | en |
dc.subject | User personalities | en |
dc.title | Detecting personality traces in users’ social activity | en |
dc.type | info:eu-repo/semantics/article | |
dc.identifier.doi | 10.1007/978-3-319-39910-2_27 | |
dc.description.volume | 9742 | |
dc.description.startingpage | 287 | |
dc.description.endingpage | 297 | |
dc.author.faculty | 002 Σχολή Θετικών και Εφαρμοσμένων Επιστημών / Faculty of Pure and Applied Sciences | |
dc.author.department | Τμήμα Πληροφορικής / Department of Computer Science | |
dc.type.uhtype | Article | en |
dc.description.notes | <p>Sponsors: | en |
dc.description.notes | Conference code: 177799</p> | en |
dc.source.abbreviation | Lect. Notes Comput. Sci. | en |