Detecting Personality Traces in Users' Social Activity

被引：5

作者：

Kleanthous, Styliani ^{[1
]}

Herodotou, Constantinos ^{[1
]}

Samaras, George ^{[1
]}

Germanakos, Panayiotis ^{[1
,2
]}

机构：

[1] Univ Cyprus, Dept Comp Sci, CY-1678 Nicosia, Cyprus

[2] SAP SE, Suite Engn UX Prod & Innovat, D-69190 Walldorf, Germany

来源：

SOCIAL COMPUTING AND SOCIAL MEDIA, SCSM 2016 | 2016年 / 9742卷

关键词：

Social networks; Big Five personality model; User modeling; FACEBOOK;

D O I：

10.1007/978-3-319-39910-2_27

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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.

引用

页码：287 / 297

页数：11

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