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Online negative sentiment towards Mexicans and Hispanics and impact on mental well-being: A time-series analysis of social media data during the 2016 United States presidential election.
Hswen, Yulin; Qin, Qiuyuan; Williams, David R; Viswanath, K; Subramanian, S V; Brownstein, John S.
Affiliation
  • Hswen Y; Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
  • Qin Q; Computational Epidemiology Lab, Harvard Medical School, Boston, MA, USA.
  • Williams DR; Innovation Program, Boston Children's Hospital, Boston, MA, USA.
  • Viswanath K; Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, USA.
  • Subramanian SV; Bakar Computational Health Science Institute, University of California San Francisco, San Francisco, USA.
  • Brownstein JS; Innovation Program, Boston Children's Hospital, Boston, MA, USA.
Heliyon ; 6(9): e04910, 2020 Sep.
Article in En | MEDLINE | ID: mdl-33005781
PURPOSE: The purpose was to use Twitter to conduct online surveillance of negative sentiment towards Mexicans and Hispanics during the 2016 United States presidential election, and to examine its relationship with mental well-being in this targeted group at the population level. METHODS: Tweets containing the terms Mexican(s) and Hispanic(s) were collected within a 20-week period of the 2016 United States presidential election (November 9th 2016). Sentiment analysis was used to capture percent negative tweets. A time series lag regression model was used to examine the association between percent count of negative tweets mentioning Mexicans and Hispanics and percent count of worry among Hispanic Gallup poll respondents. RESULTS: Of 2,809,641 tweets containing terms Mexican(s) and Hispanic(s), 687,291 tweets were negative. Among 8,314 Hispanic Gallup respondents, a mean of 33.5% responded to be worried on a daily basis. A significant lead time of 1 week was observed, showing that negative tweets mentioning Mexicans and Hispanics appeared to forecast daily worry among Hispanics by 1 week. CONCLUSION: Surveillance of online negative sentiment towards racially vulnerable population groups can be captured using social media. This has potential to identify early warning signals for symptoms of mental well-being among targeted groups at the population level.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Country/Region as subject: Mexico Language: En Journal: Heliyon Year: 2020 Document type: Article Affiliation country: United States Country of publication: United kingdom

Full text: 1 Collection: 01-internacional Database: MEDLINE Country/Region as subject: Mexico Language: En Journal: Heliyon Year: 2020 Document type: Article Affiliation country: United States Country of publication: United kingdom