TY - GEN
T1 - Twitter analytics-based assessment
T2 - 24th Annual IEEE International Symposium on Technology and Society, ISTAS 2018
AU - Singleton, Sydney
AU - Kumar, Sathish A.P.
AU - Li, Zhenlong
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - According to the U.S. National Climate Assessment, the Southeast Coast and Gulf Coast of the United States are particularly susceptible to sea level rise, heat waves, hurricanes and lower accessibility to clean water due to climate change. Preparation for climate change consequences can only occur with conversation, which is a method of bringing awareness to the issue. Over the past decade, social media has taken over the spectrum of information exchange in the United States. Social Network Analysis (SNA) is the practice of analyzing trends in volume and opinion of a population of social media users. Twitter, one popular social media platform, is one of the largest microblogging sites in the world, and it provides an abundance of data related to the trending topics such as climate change. In this work, Twitter analytics is performed on the data generated from Twitter users in the United States, who were talking about climate change, global warming and/or CO2, from July 2016 to June 2017. Specifically, a comparative sentiment analysis on the coastal U.S. regions was conducted to recognize which region(s) is/are falling behind on the conversation about climate change and to understand the trends in opinion about climate change over time. The results determined that the southeast coast of the United States is deficient in their discussion about climate change compared to the other coastal regions. Igniting the conversation about this issue in these regions will mitigate the disasters due to climate change by increasing awareness in the people of these regions so they can properly prepare.
AB - According to the U.S. National Climate Assessment, the Southeast Coast and Gulf Coast of the United States are particularly susceptible to sea level rise, heat waves, hurricanes and lower accessibility to clean water due to climate change. Preparation for climate change consequences can only occur with conversation, which is a method of bringing awareness to the issue. Over the past decade, social media has taken over the spectrum of information exchange in the United States. Social Network Analysis (SNA) is the practice of analyzing trends in volume and opinion of a population of social media users. Twitter, one popular social media platform, is one of the largest microblogging sites in the world, and it provides an abundance of data related to the trending topics such as climate change. In this work, Twitter analytics is performed on the data generated from Twitter users in the United States, who were talking about climate change, global warming and/or CO2, from July 2016 to June 2017. Specifically, a comparative sentiment analysis on the coastal U.S. regions was conducted to recognize which region(s) is/are falling behind on the conversation about climate change and to understand the trends in opinion about climate change over time. The results determined that the southeast coast of the United States is deficient in their discussion about climate change compared to the other coastal regions. Igniting the conversation about this issue in these regions will mitigate the disasters due to climate change by increasing awareness in the people of these regions so they can properly prepare.
UR - http://www.scopus.com/inward/record.url?scp=85062842522&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85062842522&partnerID=8YFLogxK
U2 - 10.1109/ISTAS.2018.8638266
DO - 10.1109/ISTAS.2018.8638266
M3 - Conference contribution
AN - SCOPUS:85062842522
T3 - International Symposium on Technology and Society, Proceedings
SP - 150
EP - 155
BT - 2018 IEEE International Symposium on Technology and Society, ISTAS 2018
A2 - Cunningham, Miriam
A2 - Cunningham, Paul
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 13 November 2018 through 14 November 2018
ER -