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

by   Ana-Maria Bucur, et al.

In this paper, we analyze the interplay between the use of offensive language and mental health. We acquired publicly available datasets created for offensive language identification and depression detection and we train computational models to compare the use of offensive language in social media posts written by groups of individuals with and without self-reported depression diagnosis. We also look at samples written by groups of individuals whose posts show signs of depression according to recent related studies. Our analysis indicates that offensive language is more frequently used in the samples written by individuals with self-reported depression as well as individuals showing signs of depression. The results discussed here open new avenues in research in politeness/offensiveness and mental health.



There are no comments yet.


page 1

page 2

page 3

page 4


RSDD-Time: Temporal Annotation of Self-Reported Mental Health Diagnoses

Self-reported diagnosis statements have been widely employed in studying...

SMHD: A Large-Scale Resource for Exploring Online Language Usage for Multiple Mental Health Conditions

Mental health is a significant and growing public health concern. As lan...

Monte Carlo Tree Search for Interpreting Stress in Natural Language

Natural language processing can facilitate the analysis of a person's me...

Can x2vec Save Lives? Integrating Graph and Language Embeddings for Automatic Mental Health Classification

Graph and language embedding models are becoming commonplace in large sc...

A Corpus Linguistic Analysis of Public Reddit Blog Posts on Non-Suicidal Self-Injury

While non-suicidal self-injury (NSSI) is not a new phenomenon, there is ...

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

Early risk detection of mental illnesses has a massive positive impact u...

Understanding who uses Reddit: Profiling individuals with a self-reported bipolar disorder diagnosis

Recently, research on mental health conditions using public online data,...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.