2021/05/31 by Ana-Maria Bucur, Bucur, Ana-Maria, Marcos Zampieri +3 · 1 citation
Computer Science · Health Professions · Social Sciences · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Hate Speech and Cyberbullying Detection #Interpreting and Communication in Healthcare #Swearing, Euphemism, Multilingualism
paper · pdf · doi:10.48550/arxiv.2105.14888
openalex publication_date 2021/05/31 · openalex created_date 2022/07/25 · openalex updated_date 2026/07/28
In this paper, we analyze the interplay between the use of offensive language\nand mental health. We acquired publicly available datasets created for\noffensive language identification and depression detection and we train\ncomputational models to compare the use of offensive language in social media\nposts written by groups of individuals with and without self-reported\ndepression diagnosis. We also look at samples written by groups of individuals\nwhose posts show signs of depression according to recent related studies. Our\nanalysis indicates that offensive language is more frequently used in the\nsamples written by individuals with self-reported depression as well as\nindividuals showing signs of depression. The results discussed here open new\navenues in research in politeness/offensiveness and mental health.\n