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THE RELATIONSHIP BETWEEN JIM CROW LAWS AND SOCIAL CAPITAL FROM 1997-2014: A 3-LEVEL MULTILEVEL HIERARCHICAL ANALYSIS ACROSS TIME, COUNTY AND STATE
رابطه حقوقی بین JIM CROW و سرمایه های اجتماعی از سال 1997-2014: یک آنالیز چند سطحی سلسله مراتبی زمان و کشور-2020 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. Keywords: social capital | Jim Crow laws | policy | segregation | social determinants of health | health disparities | health inequities |
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