Inference of personality using social media profiles

Download
index.pdf
2014
Ateş, Ümit
Show full item record
196
views
70
downloads
People have an inherent need to express themselves to other people in the community by sharing their experiences, ideas, activities, and memories. As a means, they mostly prefer to use social media such as Twitter, Facebook, personal blogs, and wikis. Many people consistently contribute to such social media platforms by writing their own experiences, sharing photos and status. The majority of shared content is personal information. There are studies in the literature which make use of shared social media content to predict users' Big 5 Personality Traits such as agreeableness, conscientiousness, extraversion, neuroticism and openness. These studies usually utilize linguistic features, social network information, and the frequency of their interaction with the platform such as number of posted status updates, photos, videos and likes. The aim of this thesis is to identify which features of the shared content in Facebook are correlated with users' Big 5 Personality Traits and develop a model based on these features for personality prediction. The contribution of this thesis is twofold. First, we show that the existing solutions in predicting Big 5 Personality work better when there is sufficient evidence in terms of number of posts in their social media profile. Second, we show that the inclusion of information regarding users' friends such as their Big 5 Personality information improves the accuracy compared to other methods in the literature.
Social media., Personality., Social interaction., Self-presentation., Online social networks., Information society.
http://etd.lib.metu.edu.tr/upload/12617509/index.pdf
https://hdl.handle.net/11511/23678
Graduate School of Informatics, Thesis

Suggestions

Analyzing and Predicting Privacy Settings in the Social Web
Naini, Kaweh Djafari; Altıngövde, İsmail Sengör; Kawase, Ricardo; Herder, Eelco; Niederee, Claudia (2015-07-03)
Social networks provide a platform for people to connect and share information and moments of their lives. With the increasing engagement of users in such platforms, the volume of personal information that is exposed online grows accordingly. Due to carelessness, unawareness or difficulties in defining adequate privacy settings, private or sensitive information may be exposed to a wider audience than intended or advisable, potentially with serious problems in the private and professional life of a user. Alt...
Social comparison as a determinant of self-presentation
Demir, Sıla; Özkan, Türker; Department of Psychology (2017)
As social beings people usually try to project the best image of themselves on their interaction partners. On other occasions, they try to create the image that they think will be advantageous for them in a certain way. These self-presentational efforts may be conscious or automatic, and may be triggered by some situational determinants and be associated with some personality characteristics. Besides, social comparison tendencies may also be associated with self-presentation. People often compare themselves...
Reconstruction of Collective Memory and Memory of Place: From Hergelen Square to Melike Hatun Mosque
Ata Arslan, Hatice Kübra; Bilsel, Fatma Cânâ; Department of Architecture (2021-8-03)
Shared memories help not only individuals but also groups to sustain their social existence. In order for memories to be shared, there is a need for a common ground where such memories accumulate, which is the collective memory. Architecture is concerned with collective memory with regard to its interactive relation with built environment. That is why collective memory is interlaced with physical environments and thereby with architecture. The architecture of a city is part of its collective memory through ...
Event Detection on Communities: Tracking the Change in Community Structure within Temporal Communication Networks
Aktunç, Rıza; Toroslu, İsmail Hakkı; Karagöz, Pınar (Springer, Cham, 2020-01-01)
In this work, we focus on social interactions in communities in order to detect events. There are several previous efforts for the event detection problem based on analyzing the change in the network structure in terms of the overall network features. However, in this work, event detection is considered as a problem of change detection in community structures. Particularly, communities extracted from communication network are focused on, and various versions of the community change detection methods are dev...
Social media addiction: Psychoanalytic approach
Aktaş, Dilan; Gençöz, Faruk; Canbolat, Fazilet; Department of Psychology (2021-10)
The aim of this study is to explore the experiences of individuals who define themselves as social media addicts. In particular, it is aimed to understand how the excessive use of social media affects the lives of the participants and the meaning they attribute to it. For this purpose, a qualitative research method was used. Semi-structured interviews were conducted with six participants. In the light of Interpretative Phenomenological Analysis (IPA), the data was analyzed to find the emerging themes. In th...
Citation Formats
Ü. Ateş, “Inference of personality using social media profiles,” M.S. - Master of Science, Middle East Technical University, 2014.
METU IIS - Integrated Information Service open@metu.edu.tr