Selim Sametoğlu
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View article: From words to wellbeing: Mining Dutch social media language to quantify wellbeing
From words to wellbeing: Mining Dutch social media language to quantify wellbeing Open
Wellbeing measures, traditionally based on self-reports, could potentially be enhanced with Social Media Text Mining (SMTM), providing dynamic, real-time insights into wellbeing. This study explores the application of SMTM to assess wellbe…
View article: The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors
The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors Open
Meta-analyses consistently report small but significant associations (around r = -0.10) between wellbeing (WB) and social media use (SMU) and between anxious-depressive symptoms (ADS) and SMU (around r = 0.10). This study employs the class…
View article: The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors
The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors Open
Meta-analyses consistently report small but significant associations (around r = -0.10) between wellbeing (WB) and social media use (SMU) and between anxious-depressive symptoms (ADS) and SMU (around r = 0.10). This study employs the class…
View article: Social media as a source for understanding differences in wellbeing
Social media as a source for understanding differences in wellbeing Open
This dissertation investigates the complex interplay between social media use (SMU) and mental health and wellbeing (WB), with a particular focus on the genetic, psychological, and computational underpinnings of this relationship. It addre…
View article: The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors
The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors Open
Meta-analyses consistently report small but significant associations (around r = -0.10) between wellbeing (WB) and social media use (SMU) and between anxious-depressive symptoms (ADS) and SMU (around r = 0.10). This study employs the class…
View article: The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors
The association between frequency of social media use, wellbeing, and depressive symptoms: disentangling genetic and environmental factors Open
Meta-analyses consistently report small but significant associations (around r = -0.10) between wellbeing (WB) and social media use (SMU) and between anxious-depressive symptoms (ADS) and SMU (around r = 0.10). This study employs the class…
View article: The value of social media language for the assessment of wellbeing: A systematic review and meta-analysis
The value of social media language for the assessment of wellbeing: A systematic review and meta-analysis Open
Wellbeing is predominantly measured through self-reports, which is time-consuming and costly. It can also be measured by automatically analysing language expressed on social media platforms, through social media text mining (SMTM). We pres…
View article: Comparison of wellbeing structures based on survey responses and social media language: A network analysis
Comparison of wellbeing structures based on survey responses and social media language: A network analysis Open
Wellbeing is predominantly measured through surveys but is increasingly measured by analysing individuals' language on social media platforms using social media text mining (SMTM). To investigate whether the structure of wellbeing is simil…
View article: Comparison of Wellbeing Structures Based on Survey Responses and Social Media Language: A Network Analysis
Comparison of Wellbeing Structures Based on Survey Responses and Social Media Language: A Network Analysis Open
Background: Wellbeing is predominantly measured through surveys but is increasingly measured by analysing individuals’ language on social media platforms using social media text mining (SMTM). Methods: To investigate whether the structure …
View article: The Value of Social Media Language for the Assessment of Wellbeing: A Systematic Review and Meta-Analysis
The Value of Social Media Language for the Assessment of Wellbeing: A Systematic Review and Meta-Analysis Open
Wellbeing is an important concept that concerns researchers, policy makers, and the broader general public. The measurement of individuals’ wellbeing levels has predominantly been done through self-reports (e.g., survey questionnaires), wh…
View article: Towards a better understanding of adolescent obsessive–compulsive personality traits and obsessive–compulsive symptoms from growth trajectories of perfectionism – ERRATUM
Towards a better understanding of adolescent obsessive–compulsive personality traits and obsessive–compulsive symptoms from growth trajectories of perfectionism – ERRATUM Open
In Sametoglu et al. 2021, as a result of a production error there is a mistake in table 1, column 1, row 12. The text should read “Order/Clean/Perfect Domain.” The correct table 1 follows: (Table Presented).
View article: Towards a better understanding of adolescent obsessive–compulsive personality traits and obsessive–compulsive symptoms from growth trajectories of perfectionism
Towards a better understanding of adolescent obsessive–compulsive personality traits and obsessive–compulsive symptoms from growth trajectories of perfectionism Open
Although there is increasing attention for the interrelationship between obsessive–compulsive personality disorder (OCPD) and obsessive–compulsive disorder (OCD), their shared characteristics in terms of childhood trait antecedents remain …