Table 1 Key characteristics of included studies (n=36)

Social media data source

 Twitter

22 (61.6%)

[20, 24,25,26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43]

 Sina Weibo

5 (13.9%)

[44,45,46,47,48]

 YouTube

4 (11.1%)

[49,50,51,52]

 Instagram

2 (5.6%)

[53, 54]

 TikTok

1 (2.8%)

[55]

 Pinterest

1 (2.8%)

[56]

 Other

1 (2.8%)

[57]

Mental Health Condition

 Schizophrenia/psychosis

14 (38.9%)

[19, 24, 27,28,29,30,31,32, 39, 40, 43, 45, 49, 57]

 Mental health/mental illness

13 (36.1%)

[20, 25, 33, 35,36,37,38, 41, 42, 52,53,54,55]

 Depression

12 (33.3%)

[26, 27, 29, 39, 40, 44,45,46,47,48, 50, 56]

 Bipolar disorder

4 (11.1%)

[25, 27, 34, 56]

 Other (Psychiatry terms, ASD, ED)

3 (8.3%)

[27, 29, 40]

 Obsessive compulsive disorder

3 (8.3%)

[27, 29, 40]

 Anxiety

2 (5.6%)

[27, 29]

 Trichotillomania

1 (2.8%)

[51]

Social media language

 English

27 (75.0%)

[19, 20, 25, 26, 28,29,30,31, 33,34,35,36,37,38,39,40,41,42,43, 50,51,52,53,54,55,56,57]

 Chinese

5 (13.9%)

[44,45,46,47,48]

 Greek

2 (5.6%)

[24, 49]

 Turkish

1 (2.8%)

[32]

 French

1 (2.8%)

[27]

 Finnish

1 (2.8%)

[49]

Year of Publication

 2022

10 (27.8%)

[27, 29, 30, 32, 38, 42, 51,52,53, 56]

 2021

3 (8.3%)

[33, 48, 54]

 2020

7 (19.4%)

[25, 28, 35,36,37, 45, 50]

 2019

6 (16.7%)

[19, 20, 34, 40, 41, 43]

 2018

2 (5.6%)

[44, 46]

 2017

1 (2.8%)

[57]

 2016

5 (13.9%)

[24, 26, 47, 49, 56]

 2015

1 (2.8%)

[31]

 2014

1 (2.8%)

[39]

Location of Researchers

 United States

19 (52.8%)

[20, 25, 26, 28, 31, 34,35,36, 41,42,43, 46,47,48, 50, 53,54,55,56]

 Australia

1 (2.8%)

[39]

 Canada

4 (11.1%)

[51, 52, 55, 57]

 United Kingdom

5 (13.9%)

[19, 29, 30, 33, 40]

 China

4 (11.1%)

[44,45,46, 48]

 New Zealand

1 (2.78%)

[38]

 Finland

2 (5.6%)

[24, 49]

 Greece

2 (5.6%)

[24, 49]

 Spain

1 (2.8%)

[43]

 Turkey

1 (2.8%)

[32]

 Israel

2 (5.6%)

[20, 25]

 Netherlands

2 (5.6%)

[37, 38]