Replication Data for: Measuring Police Performance: Public Attitudes Expressed in Twitter
Principal Investigator(s): View help for Principal Investigator(s) Taeho Kim, University of Pennsylvania
Version: View help for Version V1
Name | File Type | Size | Last Modified |
---|---|---|---|
|
text/plain | 1.4 KB | 04/22/2022 07:59:AM |
|
application/x-7z-compressed | 2.1 MB | 04/22/2022 07:38:AM |
Project Citation:
Kim, Taeho. Replication Data for: Measuring Police Performance: Public Attitudes Expressed in Twitter. Nashville, TN: American Economic Association [publisher], 2022. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2022-05-03. https://doi.org/10.3886/E168401V1
Project Description
Summary:
View help for Summary
Data/code files for the following project: I study the viability of Twitter-based measures for
measuring public attitudes about the police. I find that Twitter-based measures
track Gallup's measure of public attitudes starting around 2014, when Twitter
user base stabilized, but not before 2014. Increases in Black Lives Matter
protests are also associated with increases in negative sentiment measures from
Twitter. The findings suggest that Twitter-based measures can be used to
acquire granular evaluations of police performance, but they can be more useful
in analyzing panel data of multiple agencies over time than in tracking a
single geographical area over time.
Scope of Project
Subject Terms:
View help for Subject Terms
police;
performance ;
public attitude
JEL Classification:
View help for JEL Classification
H40 Publicly Provided Goods: General
J45 Public Sector Labor Markets
K40 Legal Procedure, the Legal System, and Illegal Behavior: General
H40 Publicly Provided Goods: General
J45 Public Sector Labor Markets
K40 Legal Procedure, the Legal System, and Illegal Behavior: General
Geographic Coverage:
View help for Geographic Coverage
US
Time Period(s):
View help for Time Period(s)
1/2010 – 12/2021
Collection Date(s):
View help for Collection Date(s)
2021 – 2022
Universe:
View help for Universe
Public attitudes data of US cities in the 2010s
Data Type(s):
View help for Data Type(s)
aggregate data;
observational data;
survey data
Related Publications
Published Versions
Report a Problem
Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.
This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.