TY - JOUR
T1 - A multi-dimensional analysis of El Niño on Twitter
T2 - Spatial, social, temporal, and semantic perspectives
AU - Ye, Xinyue
AU - Wei, Xuebin
N1 - Funding Information:
Acknowledgments: This material is partially supported by the National Science Foundation under Grant No. 1416509. Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author and do not necessarily reflect the views of the National Science Foundation.
Publisher Copyright:
© 2019 by the authors.
PY - 2019/10/4
Y1 - 2019/10/4
N2 - Social media platforms have become a critical virtual community where people share information and discuss issues. Their capabilities for fast dissemination and massive participation have placed under scrutiny the way in which they influence people's perceptions over time and space. This paper investigates how El Niño, an extreme recurring weather phenomenon, was discussed on Twitter in the United States from December 2015 to January 2016. A multiple-dimensional analysis, including spatial, social, temporal, and semantic perspectives, is conducted to comprehensively understand Twitter users' discussion of such weather phenomenon. We argue that such multi-dimensional analysis can reveal complicated patterns of Twitter users' online discussion and answers questions that cannot be addressed with a single-dimension analysis. For example, a significant increase in tweets about El Niño was noted when a series of rainstorms inundated California in January 2016. Some discussions on natural disasters were influenced by their geographical distances to the disasters and the prevailing geopolitical environment. The popular tweets generally discussing El Niño were overall negative, while tweets talking about how to prepare for the California rainstorms were more positive.
AB - Social media platforms have become a critical virtual community where people share information and discuss issues. Their capabilities for fast dissemination and massive participation have placed under scrutiny the way in which they influence people's perceptions over time and space. This paper investigates how El Niño, an extreme recurring weather phenomenon, was discussed on Twitter in the United States from December 2015 to January 2016. A multiple-dimensional analysis, including spatial, social, temporal, and semantic perspectives, is conducted to comprehensively understand Twitter users' discussion of such weather phenomenon. We argue that such multi-dimensional analysis can reveal complicated patterns of Twitter users' online discussion and answers questions that cannot be addressed with a single-dimension analysis. For example, a significant increase in tweets about El Niño was noted when a series of rainstorms inundated California in January 2016. Some discussions on natural disasters were influenced by their geographical distances to the disasters and the prevailing geopolitical environment. The popular tweets generally discussing El Niño were overall negative, while tweets talking about how to prepare for the California rainstorms were more positive.
KW - El Niño
KW - Geospatial methods
KW - Multi-dimension analysis
KW - Natural disaster
KW - Twitter
UR - http://www.scopus.com/inward/record.url?scp=85075536328&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85075536328&partnerID=8YFLogxK
U2 - 10.3390/ijgi8100436
DO - 10.3390/ijgi8100436
M3 - Article
AN - SCOPUS:85075536328
SN - 2220-9964
VL - 8
JO - ISPRS International Journal of Geo-Information
JF - ISPRS International Journal of Geo-Information
IS - 10
M1 - ijgi8100436
ER -