An Exploratory Analysis of the Relation Between Offensive Language and Mental Health

The dataset for presuicidal signals detection in text and its analysis

“…From this table, we can clearly see that obsessive lexicon is a vital component of texts from our corpus. We might assume that this phenomenon relates to findings in work [1] in which authors show that there is a statistically significant relationship between mental health and offensive language usage. In addition, we compute a thematic value characteristic (TVC) [11].…”

“…In this work [1] authors show that there is a statistical value between mental health and using Offensive Language. Again, the source of the data was Reddit.…”

Whether Real Names on the Internet are Effective in Reducing Offensive Language: The Impact of Anonymity and Offensive Language on Mental Health

“…However, fewer studies have directly examined the relationship between aggressive speech and mental health levels. Bucur et al noted that people with self-reported depression diagnoses used more aggressive language, but did not confirm a causal relationship between the two [20]. Also, in terms of specific content, subjects who reported a depression diagnosis used more non-targeted aggressive language and focused more on negative self-exposure and expression.…”

Early Risk Detection of Pathological Gambling, Self-Harm and Depression Using BERT

“…They predicted if a user was depressed or not with this model and they conjugated the score obtained with several psycholinguistics and behavioural features, such as polarity, use of self-related words, use of absolutist words, mentions of mental disorders-related terms and other terms regarding the symptoms of depression from the BDI questionnaire. Regarding the psycholinguistics features, Bucur et al [28] showed through cross-dataset analysis the connection between offensive language and signs of depression. Other approaches were based on transformers models [20], SVM and logistic regression [26], LDA [29], writing style [29], etc.…”

“…We are provided with 80 users and their posts for evaluation, totalling 32237 posts and comments from Reddit. The evaluation for this task is threefold: number of correct responses, the absolute difference between levels of depression obtained from the ground truth responses to the questionnaire vs the estimated answers, and the depression level, which is used to categorize users as minimal depression (0-9), mild depression (10)(11)(12)(13)(14)(15)(16)(17)(18), moderate depression (19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29), severe depression .…”