Research output: Contribution to journal › Article › peer-review
The Language of Positive Mental Health : Findings From a Sample of Russian Facebook Users. / Bogolyubova, Olga; Panicheva, Polina; Ledovaya, Yanina; Tikhonov, Roman; Yaminov, Bulat.
In: SAGE Open, Vol. 10, No. 2, 2158244020924370, 04.2020.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - The Language of Positive Mental Health
T2 - Findings From a Sample of Russian Facebook Users
AU - Bogolyubova, Olga
AU - Panicheva, Polina
AU - Ledovaya, Yanina
AU - Tikhonov, Roman
AU - Yaminov, Bulat
N1 - Publisher Copyright: © The Author(s) 2020. Copyright: Copyright 2020 Elsevier B.V., All rights reserved.
PY - 2020/4
Y1 - 2020/4
N2 - Positive mental health is considered to be a significant predictor of health and longevity; however, our understanding of the ways in which this important characteristic is represented in users’ behavior on social networking sites is limited. The goal of this study was to explore associations between positive mental health and language used in online communication in a large sample of Russian Facebook users. The five-item World Health Organization Well-Being Index (WHO-5) was used as a self-report measure of well-being. Morphological, sentiment, and semantic analyses were performed for linguistic data. The total of 6,724 participants completed the questionnaire and linguistic data were available for 1,972. Participants’ mean age was 45.7 years (SD = 11.6 years); 73.4% were female. The dataset included 15,281 posts, with an average of 7.67 (SD = 5.69) posts per participant. Mean WHO-5 score was 60.0 (SD = 19.1), with female participants exhibiting lower scores. Use of negative sentiment words and impersonal predicates (“should statements”) demonstrated an inverse association with the WHO-5 scores. No significant correlation was found between the use of positive sentiment words and the WHO-5 scores. This study expands current understanding of the association between positive mental health and language use in online communication by employing data from a non-Western sample.
AB - Positive mental health is considered to be a significant predictor of health and longevity; however, our understanding of the ways in which this important characteristic is represented in users’ behavior on social networking sites is limited. The goal of this study was to explore associations between positive mental health and language used in online communication in a large sample of Russian Facebook users. The five-item World Health Organization Well-Being Index (WHO-5) was used as a self-report measure of well-being. Morphological, sentiment, and semantic analyses were performed for linguistic data. The total of 6,724 participants completed the questionnaire and linguistic data were available for 1,972. Participants’ mean age was 45.7 years (SD = 11.6 years); 73.4% were female. The dataset included 15,281 posts, with an average of 7.67 (SD = 5.69) posts per participant. Mean WHO-5 score was 60.0 (SD = 19.1), with female participants exhibiting lower scores. Use of negative sentiment words and impersonal predicates (“should statements”) demonstrated an inverse association with the WHO-5 scores. No significant correlation was found between the use of positive sentiment words and the WHO-5 scores. This study expands current understanding of the association between positive mental health and language use in online communication by employing data from a non-Western sample.
KW - distributional semantics
KW - irrational beliefs
KW - language
KW - positive mental health
KW - social media
KW - subjective well-being
KW - word clustering
KW - DISTRESS
KW - SELF-COMPASSION
UR - http://www.scopus.com/inward/record.url?scp=85085168433&partnerID=8YFLogxK
U2 - 10.1177/2158244020924370
DO - 10.1177/2158244020924370
M3 - Article
AN - SCOPUS:85085168433
VL - 10
JO - SAGE Open
JF - SAGE Open
SN - 2158-2440
IS - 2
M1 - 2158244020924370
ER -
ID: 71879909