Far-Right Extremism in America: A Geospatial Analysis of Incident Distribution

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Far-Right Extremism in America: A Geospatial Analysis of Incident
Distribution, Is A Well-Researched Topic, It Is To Be Used As A Guide Or Framework For Your Research.

Abstract

There has been little empirical research on the spatial relationship of violent far-right extremism. Previous studies have only focused on portions of far-right violent incidents, such as homicides, or amalgamated all far-right extremist activity, including legal incidents. This study uses data from the Extremist Crime Database (ECDB) and Southern Poverty Law Center (SPLC) in a temporal frame of 2000 to 2018 to test the relationship of violent incidents against geographic and social factors. The goal is to explore the relationships between macro-level factors and violent far-right extremist incident. The research determines that the presence of hate groups, higher immigrant populations, higher unemployment rates, higher education levels and higher urbanicity in counties all indicate an increased likelihood a violent extremist far-right incident will take place.

Table of Contents

CHAPTER ONE: Introduction ………………………………………………………………………………………. 1
Current Study …………………………………………………………………………………………….. 3
CHAPTER TWO: Theoretical Orientation and Literature Review ……………………………………….. 5
Cultural and Racial Threat in Contested Spaces ……………………………………………….. 5
Defining Space …………………………………………………………………………………………… 5
Cultural Threat …………………………………………………………………………………………… 6
Racial Threat ……………………………………………………………………………………………… 8
Reactionary Violence and Far-right Extremism in America ……………………………… 10
Hate Groups and Hate Crime Through a Geographic Lens ……………………………….. 14
CHAPTER THREE: Data and Methods ………………………………………………………………………… 17
Data Sources ……………………………………………………………………………………………. 18
Measurements ………………………………………………………………………………………….. 20
Methodology ……………………………………………………………………………………………. 22
CHAPTER FOUR: Results …………………………………………………………………………………………. 24
Descriptive Statistics …………………………………………………………………………………. 24
Binary Logistic Regression …………………………………………………………………………. 29
Zero-Inflated Negative Binomial Regression …………………………………………………. 35
CHAPTER FIVE: Discussion and Conclusion………………………………………………………………… 39
Key Findings ……………………………………………………………………………………………. 39
Limitations and Future Research …………………………………………………………………. 41
Conclusion ………………………………………………………………………………………………. 43
REFERENCES …………………………………………………………………………………………………………. 44

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YourPastQuestions Brand

Additional information

Author

Meredith LeAnn Lerma

No of Chapters

5

No of Pages

54

Reference

YES

Format

PDF

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