RT Article
T1 Measuring Geographic Sentiment toward Police Using Social Media Data
JF American journal of criminal justice
VO 47
IS 5
SP 924
OP 940
A1 Oh, Gyeongseok
A2 Zhang, Yan
A2 Greenleaf, Richard G.
LA English
YR 2022
UL https://krimdok.uni-tuebingen.de/Record/1883304865
AB Using Twitter messages published online from October 2018 to June 2019, and opinion mining (OM) technology, the current study analyzes the geographic sentiments toward police in 82 metropolitan areas within the United States. Building on the frameworks of the neighborhood social contextual models, the construct validity of "sentiment toward the police" is assessed via its relationship with the features of various metropolitan areas. Results of the regression analysis indicate that the violent crime rate, racial heterogeneity, and economic disadvantage significantly affect sentiment toward the police. Our results suggest that opinion mining of social media can be an important instrument to understand public sentiment toward the police.
K1 Attitude towards police
K1 Opinion mining
K1 Sentiment analysis
K1 Twitter messages
DO 10.1007/s12103-021-09614-z