TY - GEN
T1 - Within and between-person differences in language used across anxiety support and neutral reddit communities
AU - Ireland, Molly E.
AU - Iserman, Micah
N1 - Publisher Copyright:
© 2018 Association for Computational Linguistics
PY - 2018
Y1 - 2018
N2 - Although many studies have distinguished between the social media language use of people who do and do not have a mental health condition, within-person context-sensitive comparisons (for example, analyzing individuals' language use when seeking support or discussing neutral topics) are less common. Two dictionary-based analyses of Reddit communities compared (1) anxious individuals' comments in anxiety support communities (e.g.,/r/PanicParty) with the same users' comments in neutral communities (e.g.,/r/todayilearned), and, (2) within popular neutral communities, comments by members of anxiety subreddits with comments by other users. Each comparison yielded theory-consistent effects as well as unexpected results that suggest novel hypotheses to be tested in the future. Results have relevance for improving researchers' and practitioners' ability to unobtrusively assess anxiety symptoms in conversations that are not explicitly about mental health.
AB - Although many studies have distinguished between the social media language use of people who do and do not have a mental health condition, within-person context-sensitive comparisons (for example, analyzing individuals' language use when seeking support or discussing neutral topics) are less common. Two dictionary-based analyses of Reddit communities compared (1) anxious individuals' comments in anxiety support communities (e.g.,/r/PanicParty) with the same users' comments in neutral communities (e.g.,/r/todayilearned), and, (2) within popular neutral communities, comments by members of anxiety subreddits with comments by other users. Each comparison yielded theory-consistent effects as well as unexpected results that suggest novel hypotheses to be tested in the future. Results have relevance for improving researchers' and practitioners' ability to unobtrusively assess anxiety symptoms in conversations that are not explicitly about mental health.
UR - http://www.scopus.com/inward/record.url?scp=85088413557&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85088413557
T3 - Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018
SP - 182
EP - 193
BT - Proceedings of the 5th Workshop on Computational Linguistics and Clinical Psychology
A2 - Loveys, Kate
A2 - Niederhoffer, Kate
A2 - Prud�hommeaux, Emily
A2 - Resnik, Rebecca
A2 - Resnik, Philip
PB - Association for Computational Linguistics (ACL)
T2 - 5th Workshop on Computational Linguistics and Clinical Psychology: From Keyboard to Clinic, CLPsych 2018 at the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HTL 2018
Y2 - 5 June 2018
ER -