ICWSM
 2021
DOI: 10.1609/icwsm.v7i2.14466
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Mining Facebook Data for Predictive Personality Modeling

Dejan Markovikj
1
,
Sonja Gievska
2
,
Michał Kosiński
3
et al.

Abstract: Beyond being facilitators of human interactions, social networks have become an interesting target of research, providing rich information for studying and modeling user’s behavior. Identification of personality-related indicators encrypted in Facebook profiles and activities are of special concern in our current research efforts. This paper explores the feasibility of modeling user personality based on a proposed set of features extracted from the Facebook data. The encouraging results of our study, exploring… Show more

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Cited by 128 publications

(8 citation statements)
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“…Most previous studies utilizing text-mining techniques to detect mental disorders have relied on publicly available data, such as social, behavioral, and physiological health data obtained through social media, smart devices, and other sources (e.g., 32 , 33 , 53 – 55 ). Such data are characterized by their large scale and considerable noise, requiring extensive data cleaning before being input into models.…”
Section: Discussionmentioning
confidence: 99%
“…TC has shown remarkable performance in a wide range of classification tasks across different domains (e.g., 30 , 31 ). Given that individuals’ speech and writing pattern offer valuable clues about their emotional and cognitive states ( 32 – 34 ), numerous studies have applied text mining techniques to predict and identify risk indicators for mental disorders, such as depression, suicide, substance abuse, PTSD, and neurodevelopmental disorders ( 35 – 40 ), providing new tools and strategies for the screening, prevention, and intervention of mental health disorders.…”
Section: Literature Reviewmentioning
confidence: 99%
See 1 more Smart Citation
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
show abstract
“…Most previous studies utilizing text-mining techniques to detect mental disorders have relied on publicly available data, such as social, behavioral, and physiological health data obtained through social media, smart devices, and other sources (e.g., 32 , 33 , 53 – 55 ). Such data are characterized by their large scale and considerable noise, requiring extensive data cleaning before being input into models.…”
Section: Discussionmentioning
confidence: 99%
“…TC has shown remarkable performance in a wide range of classification tasks across different domains (e.g., 30 , 31 ). Given that individuals’ speech and writing pattern offer valuable clues about their emotional and cognitive states ( 32 – 34 ), numerous studies have applied text mining techniques to predict and identify risk indicators for mental disorders, such as depression, suicide, substance abuse, PTSD, and neurodevelopmental disorders ( 35 – 40 ), providing new tools and strategies for the screening, prevention, and intervention of mental health disorders.…”
Section: Literature Reviewmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
show abstract
“…The integration of human decision-making patterns into algorithmic derivatives through personification and personalisation holds the potential to serve as a means to engage communities typically absent or excluded from conventional citizen participation systems. Additionally, this mode of data gathering and analysis enhances efficiency, (Park et, al., 2014;Markovikj et, al., 2013) equity, and fairness in the decision-making process by equally incorporating all participants into the funnel of data analysis (or at least, all active on social media).…”
Section: Methodsmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
“…Then, each tweet’s sentiment as positive, neutral, or negative was identified using the AFINN lexicon dictionary developed by Hansen et al (2011). Several lexicon dictionaries are in use, but relevant studies used the AFINN for sentiment analysis (Lowe et al 2011; Markovikj et al 2013). In particular, Koto and Adriani (2015) argued that this lexicon dictionary is best for analyzing sentiments in Twitter data.…”
Section: Methodsmentioning
confidence: 99%
Exaggerated anticipatory anxiety is common in social anxiety disorder (SAD). Neuroimaging studies have revealed altered neural activity in response to social stimuli in SAD, but fewer studies have examined neural activity during anticipation of feared social stimuli in SAD. The current study examined the time course and magnitude of activity in threat processing brain regions during speech anticipation in socially anxious individuals and healthy controls (HC). Method Participants (SAD n = 58; HC n = 16) underwent functional magnetic resonance imaging (fMRI) during which they completed a 90s control anticipation task and 90s speech anticipation task.
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