TY - GEN
T1 - A Social-Spatial Data Approach for Analyzing the Migrant Caravan Phenomenon
AU - Zagal-Flores, Roberto
AU - Mata, Miguel Felix
AU - Claramunt, Christophe
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - The migrant caravan that recently came out from Central towards North America generated polarized opinions in online social networks. The objective of this paper is to explore the social spatial-temporal trends that emerge from this migrant caravan phenomenon, and based on a combination of social media and newspaper opinions and reports, together with additional socio-economic data. The framework combines text data mining, text clustering, sentiment analysis and spatiotemporal data exploration. The study reveals significant ethnic polarization and ideological patterns but noticeable regional differences in rural and urban areas. The experimental study shows that our approach provides a valuable experimental framework to study emerging regional phenomena as they appear from social media.
AB - The migrant caravan that recently came out from Central towards North America generated polarized opinions in online social networks. The objective of this paper is to explore the social spatial-temporal trends that emerge from this migrant caravan phenomenon, and based on a combination of social media and newspaper opinions and reports, together with additional socio-economic data. The framework combines text data mining, text clustering, sentiment analysis and spatiotemporal data exploration. The study reveals significant ethnic polarization and ideological patterns but noticeable regional differences in rural and urban areas. The experimental study shows that our approach provides a valuable experimental framework to study emerging regional phenomena as they appear from social media.
KW - Geosocial analysis
KW - Local events analytics
KW - Spatial data science
UR - http://www.scopus.com/inward/record.url?scp=85096412770&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-60952-8_16
DO - 10.1007/978-3-030-60952-8_16
M3 - Contribución a la conferencia
AN - SCOPUS:85096412770
SN - 9783030609511
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 156
EP - 165
BT - Web and Wireless Geographical Information Systems - 18th International Symposium, W2GIS 2020, Proceedings
A2 - Di Martino, Sergio
A2 - Fang, Zhixiang
A2 - Li, Ki-Joune
PB - Springer Science and Business Media Deutschland GmbH
T2 - 18th International Symposium on Web and Wireless Geographical Information Systems, W2GIS 2019
Y2 - 13 November 2020 through 14 November 2020
ER -