Measuring Geographic Sentiment toward Police Using Social Media Data
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, t...
| 1. VerfasserIn: | |
|---|---|
| Beteiligte: | ; |
| Medienart: | Elektronisch Aufsatz |
| Sprache: | Englisch |
| Veröffentlicht: |
2022
|
| In: |
American journal of criminal justice
Jahr: 2022, Band: 47, Heft: 5, Seiten: 924-940 |
| Online Zugang: |
Volltext (lizenzpflichtig) |
| Journals Online & Print: | Lade...
|
| Verfügbarkeit prüfen: | HBZ Gateway |
| Schlagwörter: |
MARC
| LEADER | 00000naa a22000002 4500 | ||
|---|---|---|---|
| 001 | 1883304865 | ||
| 003 | DE-627 | ||
| 005 | 20240313102431.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 240313s2022 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1007/s12103-021-09614-z |2 doi | |
| 035 | |a (DE-627)1883304865 | ||
| 035 | |a (DE-599)KXP1883304865 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rda | ||
| 041 | |a eng | ||
| 084 | |a 2,1 |2 ssgn | ||
| 100 | 1 | |a Oh, Gyeongseok |e VerfasserIn |4 aut | |
| 245 | 1 | 0 | |a Measuring Geographic Sentiment toward Police Using Social Media Data |
| 264 | 1 | |c 2022 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 520 | |a 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. | ||
| 650 | 4 | |a Attitude towards police | |
| 650 | 4 | |a Opinion mining | |
| 650 | 4 | |a Sentiment analysis | |
| 650 | 4 | |a Twitter messages | |
| 700 | 1 | |a Zhang, Yan |e VerfasserIn |4 aut | |
| 700 | 1 | |a Greenleaf, Richard G. |e VerfasserIn |0 (DE-588)1144520991 |0 (DE-627)1004839952 |0 (DE-576)173603742 |4 aut | |
| 773 | 0 | 8 | |i Enthalten in |t American journal of criminal justice |d New York, NY [u.a.] : Springer, 1975 |g 47(2022), 5, Seite 924-940 |h Online-Ressource |w (DE-627)545782163 |w (DE-600)2387971-3 |w (DE-576)306834987 |x 1936-1351 |7 nnns |
| 773 | 1 | 8 | |g volume:47 |g year:2022 |g number:5 |g pages:924-940 |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s12103-021-09614-z |x Resolving-System |z lizenzpflichtig |3 Volltext |
| 951 | |a AR | ||
| ELC | |a 1 | ||
| LOK | |0 000 xxxxxcx a22 zn 4500 | ||
| LOK | |0 001 4499821754 | ||
| LOK | |0 003 DE-627 | ||
| LOK | |0 004 1883304865 | ||
| LOK | |0 005 20240313103150 | ||
| LOK | |0 008 240313||||||||||||||||ger||||||| | ||
| LOK | |0 040 |a DE-2619 |c DE-627 |d DE-2619 | ||
| LOK | |0 092 |o n | ||
| LOK | |0 852 |a DE-2619 | ||
| LOK | |0 852 1 |9 00 | ||
| LOK | |0 866 |x zotak: Nacherfasst, wegen zota-Pause | ||
| LOK | |0 935 |a krzo | ||
| ORI | |a WA-MARC-krimdoka001.raw | ||