Social and Behavioral Sciences Commons^™

Mapping Cooperation: Insights Into Colombia's Humanitarian Response To Migration From Venezuela, Liss Dayana Romero, Jose J. Padilla, Katherine Palacio, Erika Frydenlund

VMASC Publications

Introduction: Since 2015, Colombia has faced a significant humanitarian challenge, receiving 2.9 million displaced Venezuelans. This study examines organizational cooperation in the humanitarian response to this migration crisis, aiming to understand the coordination dynamics among key organizations and actors.

Methods: Our research combined interviews and web scraping to gather data on key actors and their relationships in the humanitarian response. We employed Social Network Analysis (SNA) to examine these relationships and the collaborative strategies among entities, focusing on how they address the migration challenges.

Results: The results indicate that cooperation occurred through mediated channels, where established NGOs collaborated via coordination …

Temporal And Spatiotemporal Investigation Of Tourist Attraction Visit Sentiment On Twitter, Jose J. Padilla, Hamdi Kavak, Christopher J. Lynch, Ross J. Gore, Saikou Y. Diallo

VMASC Publications

In this paper, we propose a sentiment-based approach to investigate the temporal and spatiotemporal effects on tourists' emotions when visiting a city's tourist destinations. Our approach consists of four steps: data collection and preprocessing from social media; visitor origin identification; visit sentiment identification; and temporal and spatiotemporal analysis. The temporal and spatiotemporal dimensions include day of the year, season of the year, day of the week, location sentiment progression, enjoyment measure, and multi-location sentiment progression. We apply this approach to the city of Chicago using over eight million tweets. Results show that seasonal weather, as well as special days and …

You Are What You Tweet: Connecting The Geographic Variation In America's Obesity Rate To Twitter Content, Ross J. Gore, Saikou Diallo, Jose Padilla

VMASC Publications

We conduct a detailed investigation of the relationship among the obesity rate of urban areas and expressions of happiness, diet and physical activity on social media. We do so by analyzing a massive, geo-tagged data set comprising over 200 million words generated over the course of 2012 and 2013 on the social network service Twitter. Among many results, we show that areas with lower obesity rates: (1) have happier tweets and frequently discuss (2) food, particularly fruits and vegetables, and (3) physical activities of any intensity. Additionally, we provide evidence that each of these results offer different and unique insight …