Schmidt, Stefanie Julia (2 November 2019). Risks and potential of social big data analysis for the prevention of affective disorders in adolescents (Unpublished). In: First Congress of the European Association of Clinical Psychology and Psychological Treatment of ECALIPT. Dresden, Germany.
The use of social media has grown exponentially in recent years, and adolescents use them to express their thoughts, feelings, and behavior. Novel approaches are necessary to process this massive amount of data characterized by high volume, high velocity and high-variety information provided. Interdisciplinary methods that allow to analyse Social Big Data automatically using machine-learning tools to detect indicators of mental health problems by identifying differences compared to common activity- and communication-pattern. This talk will review and present new data on applications of social big data analysis to detect emerging signs of affective disorders in adolescents by identifying abnormalities in the structure of social networks, the use of specific words, and in the process how opinions and sentiments are communicated. Furthermore, it will be discussed how this line of research may contribute to develop more precise prediction models for early detection of mental disorders and personalised intervention programs.
Item Type: |
Conference or Workshop Item (Speech) |
|---|---|
Division/Institute: |
07 Faculty of Human Sciences > Institute of Psychology > Clinical Psychology and Psychotherapy |
UniBE Contributor: |
Schmidt, Stefanie Julia |
Subjects: |
100 Philosophy > 150 Psychology 600 Technology > 610 Medicine & health |
Language: |
English |
Submitter: |
Melanie Best |
Date Deposited: |
04 May 2020 10:46 |
Last Modified: |
05 Dec 2022 15:38 |
URI: |
https://boris.unibe.ch/id/eprint/142670 |
Actions (login required)
 |
Edit item |