Mental Health during COVID-19

Nandy, Swaroopa Chakole Mohit

doi:10.17762/pae.v58i2.1888

pae

2021

DOI: 10.17762/pae.v58i2.1888

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Mental Health during COVID-19

Swaroopa Chakole Mohit Nandy¹

Abstract: BACKGROUND COVID-19 or coronavirus disease 2019 is the pandemic that had hit all the aspect of the human life in a negative way. Proper solutions needs to be find out before situation worsens. SUMMARY COVID-19 affected the mental wellbeing of all the people inhabiting the earth in some way or the other. As extreme uncertainty is attached to the event, it is impossible to forecast the future which everyone care about. In that quest we become anxious and forget to fully live the present which c… Show more

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Looking for Razors and Needles in a Haystack: Multifaceted Analysis of Suicidal Declarations on Social Media—A Pragmalinguistic Approach

Ptaszyński

Zaśko-Zielińska

Marcińczuk

et al. 2021

IJERPH

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In this paper, we study language used by suicidal users on Reddit social media platform. To do that, we firstly collect a large-scale dataset of Reddit posts and annotate it with highly trained and expert annotators under a rigorous annotation scheme. Next, we perform a multifaceted analysis of the dataset, including: (1) the analysis of user activity before and after posting a suicidal message, and (2) a pragmalinguistic study on the vocabulary used by suicidal users. In the second part of the analysis, we apply LIWC, a dictionary-based toolset widely used in psychology and linguistic research, which provides a wide range of linguistic category annotations on text. However, since raw LIWC scores are not sufficiently reliable, or informative, we propose a procedure to decrease the possibility of unreliable and misleading LIWC scores leading to misleading conclusions by analyzing not each category separately, but in pairs with other categories. The analysis of the results supported the validity of the proposed approach by revealing a number of valuable information on the vocabulary used by suicidal users and helped to pin-point false predictors. For example, we were able to specify that death-related words, typically associated with suicidal posts in the majority of the literature, become false predictors, when they co-occur with apostrophes, even in high-risk subreddits. On the other hand, the category-pair based disambiguation helped to specify that death becomes a predictor only when co-occurring with future-focused language, informal language, discrepancy, or 1st person pronouns. The promising applicability of the approach was additionally analyzed for its limitations, where we found out that although LIWC is a useful and easily applicable tool, the lack of any contextual processing makes it unsuitable for application in psychological and linguistic studies. We conclude that disadvantages of LIWC can be easily overcome by creating a number of high-performance AI-based classifiers trained for annotation of similar categories as LIWC, which we plan to pursue in future work.

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Looking for Razors and Needles in a Haystack: Multifaceted Analysis of Suicidal Declarations on Social Media—A Pragmalinguistic Approach

Ptaszyński

Zaśko-Zielińska

Marcińczuk

et al. 2021

IJERPH

View full text Add to dashboard Cite

show abstract

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Mental Health during COVID-19

Cited by 1 publication

References 14 publications

Looking for Razors and Needles in a Haystack: Multifaceted Analysis of Suicidal Declarations on Social Media—A Pragmalinguistic Approach

Looking for Razors and Needles in a Haystack: Multifaceted Analysis of Suicidal Declarations on Social Media—A Pragmalinguistic Approach

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