Corrigendum to “Detecting changes in attitudes toward depression on Chinese social media: A text analysis”: [Journal of Affective Disorders 280 (2021) 354–363] (Journal of Affective Disorders (2021) 280(PA) (354–363), (S0165032720329700), (10.1016/j.jad.2020.11.040))
Abstract
The authors regret that in published version of the article, we found that the information in tables in the article is correct, but there are problems with the layout. Below is the correct layout: Table 2 Results of linear regression analyses showing significant positive trends in the number of depression-related Weibo posts in both the overall set of posts and the subset of hot posts. [Table presented] Note: The data are based on publically available depression-related Weibo posts from January 2014 to July 2017. The total number of posts was 7,116,948. The number of hot posts (a subset of all posts) was 20,129. *p<0.05, **p<0.01, ***p<0.001. Table 3. Univariate regressions results showing significant positive trends in 6 of 11 lingustic features identified in 20,129 publicly available depression-related Weibo hot posts from January 2014 to July 2017. [Table presented] Note: *p<0.05, **p<0.01, ***p<0.001. Table 4 15 topics identified in 20,129 publicly available depression-related Weibo hot posts from January 2014 to July 2017, organized by theme (5 areas and subareas). [Table presented] Table 5. Regressions results showing significant positive and negative trends in 15 topics identified in 20,129 publicly available depression-related Weibo hot posts from January 2014 to July 2017. [Table presented] Note: T15, T28, T50 (suicide, death, self-injury) and T30, T19 (subjective pain) are part of the “severe consequences of depression” area. T41 (social support), and T35, T21 (professional help) are part of “provide support” area. T36 (suffer discrimination) and T37 (suffering stigma) belong to the “combat stigma” area. T46, T14 (popular science knowledge) and T23 (suffering) are part of the “appeal for understanding” area. T20 (danger) and T47 (false illness stigma) are part of the “stigma” area. *p<0.05. **p<0.01. ***p<0.001. The authors would like to apologise for any inconvenience caused.
Publication Title
Journal of Affective Disorders
Recommended Citation
Yu, L., Jiang, W., Ren, Z., Xu, S., Zhang, L., & Hu, X. (2021). Corrigendum to “Detecting changes in attitudes toward depression on Chinese social media: A text analysis”: [Journal of Affective Disorders 280 (2021) 354–363] (Journal of Affective Disorders (2021) 280(PA) (354–363), (S0165032720329700), (10.1016/j.jad.2020.11.040)). Journal of Affective Disorders, 281, 994-995. https://doi.org/10.1016/j.jad.2020.12.038