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The Social Media Psyche: Modeling Mental Disturbance in the Digital Age

The Social Media Psyche: Modeling Mental Disturbance in the Digital Age

Muskan Garg
Copyright: © 2023 |Pages: 13
ISBN13: 9781668498095|ISBN10: 166849809X|ISBN13 Softcover: 9781668498132|EISBN13: 9781668498101
DOI: 10.4018/978-1-6684-9809-5.ch001
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MLA

Garg, Muskan. "The Social Media Psyche: Modeling Mental Disturbance in the Digital Age." The Software Principles of Design for Data Modeling, edited by Debabrata Samanta, IGI Global, 2023, pp. 1-13. https://doi.org/10.4018/978-1-6684-9809-5.ch001

APA

Garg, M. (2023). The Social Media Psyche: Modeling Mental Disturbance in the Digital Age. In D. Samanta (Ed.), The Software Principles of Design for Data Modeling (pp. 1-13). IGI Global. https://doi.org/10.4018/978-1-6684-9809-5.ch001

Chicago

Garg, Muskan. "The Social Media Psyche: Modeling Mental Disturbance in the Digital Age." In The Software Principles of Design for Data Modeling, edited by Debabrata Samanta, 1-13. Hershey, PA: IGI Global, 2023. https://doi.org/10.4018/978-1-6684-9809-5.ch001

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Abstract

Amid the pandemic, people express the cause and consequences of their mental disturbance on social media platforms with ease. The causal analysis through cause detection, cause inference, and cause classification, and identifying consequences such as loneliness and low self-esteem expedite the interpersonal risk factors. The interpersonal risk factors of thwarted belongingness and perceived burdensomeness trigger clinical depression, which if left untreated advances to suicidal ideation and self-harm. The mental health practitioners are reliable on mental health triaging and motivational interviewing. To this end, this chapter models the evolution of mental disturbance through self-reported texts generated by users suffering with mental disturbance. The clinical psychology theories on interpersonal needs questionnaire (INQ) supporting a theory on thwarted belongingness and perceived burdensomeness is followed by extracting causes and consequences in a given text.

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