  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.
