Text-Based Detection and Understanding of Changes in Mental Health

Li, Yaoyiran; Mihalcea, Rada; Wilson, Steven R.

doi:10.1007/978-3-030-01159-8_17

Cited by 13 publications

(11 citation statements)

References 41 publications

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“…De Choudhury et al (2016) presented a model for predicting the likelihood that users transition from discussing mental health generally to engaging in suicidal ideation. Li et al (2018) analyzed linguistic style measures associated with increasing vs decreasing participation in mental health subreddits over the course of a year. Kumar et al (2015) examined how posting activity in r/SuicideWatch changes following a celebrity suicide.…”

Section: Studying Mental Health Via Social Mediamentioning

confidence: 99%

Quantifying the Effects of COVID-19 on Mental Health Support Forums

Biester¹,

Matton²,

Rajendran³

et al. 2020

Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020

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The COVID-19 pandemic, like many of the disease outbreaks that have preceded it, is likely to have a profound effect on mental health. Understanding its impact can inform strategies for mitigating negative consequences. In this work, we seek to better understand the effects of COVID-19 on mental health by examining discussions within mental health support communities on Reddit. First, we quantify the rate at which COVID-19 is discussed in each community, or subreddit, in order to understand levels of pandemic-related discussion. Next, we examine the volume of activity in order to determine whether the number of people discussing mental health has risen. Finally, we analyze how COVID-19 has influenced language use and topics of discussion within each subreddit.

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Section: Studying Mental Health Via Social Mediamentioning

confidence: 99%

Quantifying the Effects of COVID-19 on Mental Health Support Forums

Biester¹,

Matton²,

Rajendran³

et al. 2020

Proceedings of the 1st Workshop on NLP for COVID-19 (Part 2) at EMNLP 2020

Self Cite

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“…Li et al utilize language, emotions, and subjectivity cues to compute the Mental Health Contribution Index (MHCI). The MHCI measures user engagement in MH-Reddits to assess for mental health disorders and their respective symptoms [ 39 ]. The authors identified a substantial correlation between linguistic cues (e.g., increased use of verbs, subordinate conjunctions, pronouns, articles, readability) with MHCI and identified them as indicators of increased mental health problems [ 39 ].…”

Section: Introductionmentioning

confidence: 99%

“…The MHCI measures user engagement in MH-Reddits to assess for mental health disorders and their respective symptoms [ 39 ]. The authors identified a substantial correlation between linguistic cues (e.g., increased use of verbs, subordinate conjunctions, pronouns, articles, readability) with MHCI and identified them as indicators of increased mental health problems [ 39 ]. Further, different user types and content types have varied influences on MHCI, which is different from the influence of linguistic cues.…”

Section: Introductionmentioning

confidence: 99%

Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS

et al. 2021

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Suicide is the 10th leading cause of death in the U.S (1999-2019). However, predicting when someone will attempt suicide has been nearly impossible. In the modern world, many individuals suffering from mental illness seek emotional support and advice on well-known and easily-accessible social media platforms such as Reddit. While prior artificial intelligence research has demonstrated the ability to extract valuable information from social media on suicidal thoughts and behaviors, these efforts have not considered both severity and temporality of risk. The insights made possible by access to such data have enormous clinical potential—most dramatically envisioned as a trigger to employ timely and targeted interventions (i.e., voluntary and involuntary psychiatric hospitalization) to save lives. In this work, we address this knowledge gap by developing deep learning algorithms to assess suicide risk in terms of severity and temporality from Reddit data based on the Columbia Suicide Severity Rating Scale (C-SSRS). In particular, we employ two deep learning approaches: time-variant and time-invariant modeling, for user-level suicide risk assessment, and evaluate their performance against a clinician-adjudicated gold standard Reddit corpus annotated based on the C-SSRS. Our results suggest that the time-variant approach outperforms the time-invariant method in the assessment of suicide-related ideations and supportive behaviors (AUC:0.78), while the time-invariant model performed better in predicting suicide-related behaviors and suicide attempt (AUC:0.64). The proposed approach can be integrated with clinical diagnostic interviews for improving suicide risk assessments.

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“…Specifically, writings of suicidal individuals have been found to use less firstperson plural pronouns but more first-person singular pronouns (Chung & Pennebaker, 2007;Kumar, Dredze, Coppersmith & De Choudhury, 2015). This was also observed in the postings of Redditors on anxiety subreddits (Shen & Rudzicz, 2017) and mental health subreddits (Pavalanathan & De Choudhury, 2015;Li, et al, 2018). The higher first-person singular pronoun usage demonstrates greater inward self-focus (Tausczik & Pennebaker, 2010) and the lowered first-person plural pronoun usage suggests social isolation and a lack of attention to others (Chung & Pennebaker, 2007).…”

Section: Differencesmentioning

confidence: 87%

“…Previous studies that incorporated posting history into their analyses tackled this by manually selecting a handful of popular subreddits related to the domain of study (e.g. mental health)(Tamersoy et al, 2015;Kasunic & Kaufman, 2018;Li, Mihalcea & Wilson, 2018). However, posters on r/relationships seek advice on a very broad range of topics.…”

mentioning

confidence: 99%

A quantitative exploration of repeated advice-seeking on Reddit's r/relationships

Kang¹

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Text-Based Detection and Understanding of Changes in Mental Health

Cited by 13 publications

References 41 publications

Quantifying the Effects of COVID-19 on Mental Health Support Forums

Quantifying the Effects of COVID-19 on Mental Health Support Forums

Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS

A quantitative exploration of repeated advice-seeking on Reddit's r/relationships

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