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Understanding Online Hate Speech as a Motivator and Predictor of Hate Crime, Los Angeles, California, 2017-2018

Metadata Updated: November 28, 2023

In the United States, a number of challenges prevent an accurate assessment of the prevalence of hate crimes in different areas of the country. These challenges create huge gaps in knowledge about hate crime--who is targeted, how, and in what areas--which in turn hinder appropriate policy efforts and allocation of resources to the prevention of hate crime. In the absence of high-quality hate crime data, online platforms may provide information that can contribute to a more accurate estimate of the risk of hate crimes in certain places and against certain groups of people. Data on social media posts that use hate speech or internet search terms related to hate against specific groups has the potential to enhance and facilitate timely understanding of what is happening offline, outside of traditional monitoring (e.g., police crime reports). This study assessed the utility of Twitter data to illuminate the prevalence of hate crimes in the United States with the goals of (i) addressing the lack of reliable knowledge about hate crime prevalence in the U.S. by (ii) identifying and analyzing online hate speech and (iii) examining the links between the online hate speech and offline hate crimes. The project drew on four types of data: recorded hate crime data, social media data, census data, and data on hate crime risk factors. An ecological framework and Poisson regression models were adopted to study the explicit link between hate speech online and hate crimes offline. Risk terrain modeling (RTM) was used to further assess the ability to identify places at higher risk of hate crimes offline.

Access & Use Information

Restricted: This dataset can only be accessed or used under certain conditions. License: us-pd

Downloads & Resources

Dates

Metadata Created Date February 13, 2023
Metadata Updated Date November 28, 2023

Metadata Source

Harvested from DOJ JSON

Additional Metadata

Resource Type Dataset
Metadata Created Date February 13, 2023
Metadata Updated Date November 28, 2023
Publisher National Institute of Justice
Maintainer
Identifier 4241
Data First Published 2021-07-28T13:47:31
Language eng
Data Last Modified 2021-07-28T13:51:10
Rights These data are restricted due to the increased risk of violation of confidentiality of respondent and subject data.
Public Access Level restricted public
Bureau Code 011:21
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Metadata Catalog ID https://www.justice.gov/data.json
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 011da0ca-138d-4c9b-8640-72e4a6748ed3
Harvest Source Id 3290e90a-116f-42fc-86ac-e65521ef3b68
Harvest Source Title DOJ JSON
License http://www.usa.gov/publicdomain/label/1.0/
Program Code 011:060
Publisher Hierarchy Office of Justice Programs > National Institute of Justice
Source Datajson Identifier True
Source Hash 31158f9fb84e9391cb272136f26efa2aa68dfc6e789f432f7abea83345e22450
Source Schema Version 1.1

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