Detecting and Characterizing Mental Health Related Self-Disclosure in Social Media

Sairam Balani, Munmun De Choudhury

2015 · 161 citations · 12 references

Concepts

TL;DR

Self‑disclosure is a key factor that improves psychological wellbeing among individuals with mental illness. The study investigates how social media may enable candid self‑expression, aims to detect self‑disclosure levels in Reddit mental‑health forums, discusses moderation design, and develops a content‑feature classifier. A classifier based on content features was built to categorize Reddit posts as high, low, or no self‑disclosure. The classifier achieved 78 % accuracy, showed that most Reddit mental‑health discourse is highly self‑disclosing, revealed that community responses vary with disclosure level, and highlighted potential therapeutic uses.

Abstract

Self-disclosure is an important element facilitating improved psychological wellbeing in individuals with mental illness. As social media is increasingly adopted in health related discourse, we examine how these new platforms might be allowing honest and candid expression of thoughts, experiences and beliefs. Specifically, we seek to detect levels of self-disclosure manifested in posts shared on different mental health forums on Reddit. We develop a classifier for the purpose based on content features. The classifier is able to characterize a Reddit post to be of high, low, or no self-disclosure with 78% accuracy. Applying this classifier to general mental health discourse on Reddit, we find that bulk of such discourse is characterized by high self-disclosure, and that the community responds distinctively to posts that disclose less or more. We conclude with the potential of harnessing our proposed self-disclosure detection algorithm in psychological therapy via social media. We also discuss design considerations for improved community moderation and support in these vulnerable self-disclosing communities.

References

12