q HRV - Visualizer
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Socio-economic Variables

Infrastructure

Data Information
Server contains data from to ; duration of containing locations, with a total of events.
Filters & Options
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Unrest categories ( all none)
Countries ( all none)
Data Sources ( all none)
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Selected data from to [ ] on , for categories , involving ( points)
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Layers

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Global Controls
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5

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Options

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Overview Tools

Selected data from to [ ] on , for categories , involving ( points)

Unrest categories
Data Sources
Countries
Event count normalization
Layer by
Use area filter
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Project Information
Who

Utkarsh Hardia, Marcus Gubanyi, Dr. Ashok Samal, Dr. Courtney Hillebrecht
University of Nebraska-Lincoln

What
Human rights are the basic rights and freedoms to which all human beings are entitled. They include civil and political rights, the right to life and liberty, freedom of thought and speech, equality before the law, social, cultural and economic rights, the right to food, the right to work, and the right to education. While human rights violations vary in scope and duration, they are present in nearly every country and occur with remarkable frequency. We strive to identify documents related to human rights violations, determine the spatial and temporal coordinate of the incidents, categorize the types and actors of incidents, and analyze spatiotemporal patterns of human rights violations.
Why
Documentation of human rights violations is spotty and not well organized. This has caused difficulties in quantifiably researching these violations. With the expansion of the Internet, widespread use of social media, and use of big data methods, it is now possible to develop an accurate catalog of such incidents. Social scientists may seek tools in which they can analyze human rights violations at a large scale. This website is developed for researchers such as these.
How
The current source of data for the website is the Global Database of Events, Language, and Tone (GDELT) - http://gdeltproject.org/. Other data sources including articles from local and national newspapers, and tweets from twitter are in the works. Data from GDELT is provided with a type. We group types into three tiers based on relavancy to human rights violations, with Tier 1 being most relevant. Work is in progress on mining data sources other than GDELT and classifying articles as human rights violations.