Assessing Frustration Towards Venezuelan Migrants in Columbia: Path Analysis on Newspaper Coded Data
Faculty Advisor/Mentor
Erika Frydenlund
Location
Virginia Modeling, Analysis and Simulation Center, Room 1201
Conference Title
Modeling, Simulation and Visualization Student Capstone Conference 2023
Conference Track
Data Science
Document Type
Paper
Abstract
This study analyzes the impact of Venezuelan migrants on local frustration levels in Colombia. The study found a relationship between the influx of Venezuelan migrants and the level of frustration among locals towards migrants, infrastructure, government, and geopolitics. Additionally, we identified that frustration types have an impact on other frustrations. The study used articles from a national newspaper in Colombia from 2015 to 2020. News articles were coded during a previous study qualitatively and categorized into frustration types. The code frequencies were then used as variables in this study. We used path modeling to statistically study the relationship between dependent and independent variables through mediator variables. This paper aims to fill the research gap by contributing a unique model to the literature and insights about host community attitudes towards migrants and national migration response.
Keywords:
Mixed methods, Frustration, Migrants, Path model, News analysis
Start Date
4-20-2023
End Date
4-20-2023
Recommended Citation
Llinás, Brian; Huseynli, Guljannat; Frydenlund, Erika; Palacia, Katherine; and Padilla, Jose, "Assessing Frustration Towards Venezuelan Migrants in Columbia: Path Analysis on Newspaper Coded Data" (2023). Modeling, Simulation and Visualization Student Capstone Conference. 6.
https://digitalcommons.odu.edu/msvcapstone/2023/datascience/6
DOI
10.25776/8zfy-w222
Included in
Computer Engineering Commons, Computer Sciences Commons, Data Science Commons, Latin American Studies Commons, Migration Studies Commons
Assessing Frustration Towards Venezuelan Migrants in Columbia: Path Analysis on Newspaper Coded Data
Virginia Modeling, Analysis and Simulation Center, Room 1201
This study analyzes the impact of Venezuelan migrants on local frustration levels in Colombia. The study found a relationship between the influx of Venezuelan migrants and the level of frustration among locals towards migrants, infrastructure, government, and geopolitics. Additionally, we identified that frustration types have an impact on other frustrations. The study used articles from a national newspaper in Colombia from 2015 to 2020. News articles were coded during a previous study qualitatively and categorized into frustration types. The code frequencies were then used as variables in this study. We used path modeling to statistically study the relationship between dependent and independent variables through mediator variables. This paper aims to fill the research gap by contributing a unique model to the literature and insights about host community attitudes towards migrants and national migration response.