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Title: Understanding Social Media’s Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions

Abstract

Social media is a powerful data source for researchers interested in understanding population-level behavior, having been successfully leveraged in a number of different application areas including flu and illness prediction models, detecting civil unrest, and measuring public sentiment towards a given topic of interest within the public discourse. In this work, we present a study of a large collection of Twitter data centered on the social conversation around global cli- mate change during the UN Climate Change Conference, held in Paris, France during December 2015 (COP21). We first developed a mechanism for distinguishing between personal and non-personal accounts. We then analyzed demographics and emotion and opinion dynamics over time and location in order to understand how the different user types converse around meaningful topics on social media. This methodology offers an in-depth insight into the behavior and opinions around a topic where multiple distinct narratives are present, and lays the groundwork for future work in studying narratives in social media.

Authors:
; ;
Publication Date:
Research Org.:
Pacific Northwest National Lab. (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1361990
Report Number(s):
PNNL-SA-122223
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Conference
Resource Relation:
Conference: The AAAI 2017 Spring Symposium on Artificial Intelligence for Social Good (AISOC 2017), March 27-29, 2017, Stanford, California, 45-52
Country of Publication:
United States
Language:
English
Subject:
social media research

Citation Formats

Pathak, Neetu, Henry, Michael J., and Volkova, Svitlana. Understanding Social Media’s Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions. United States: N. p., 2017. Web.
Pathak, Neetu, Henry, Michael J., & Volkova, Svitlana. Understanding Social Media’s Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions. United States.
Pathak, Neetu, Henry, Michael J., and Volkova, Svitlana. Wed . "Understanding Social Media’s Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions". United States. doi:.
@article{osti_1361990,
title = {Understanding Social Media’s Take on Climate Change through Large-Scale Analysis of Targeted Opinions and Emotions},
author = {Pathak, Neetu and Henry, Michael J. and Volkova, Svitlana},
abstractNote = {Social media is a powerful data source for researchers interested in understanding population-level behavior, having been successfully leveraged in a number of different application areas including flu and illness prediction models, detecting civil unrest, and measuring public sentiment towards a given topic of interest within the public discourse. In this work, we present a study of a large collection of Twitter data centered on the social conversation around global cli- mate change during the UN Climate Change Conference, held in Paris, France during December 2015 (COP21). We first developed a mechanism for distinguishing between personal and non-personal accounts. We then analyzed demographics and emotion and opinion dynamics over time and location in order to understand how the different user types converse around meaningful topics on social media. This methodology offers an in-depth insight into the behavior and opinions around a topic where multiple distinct narratives are present, and lays the groundwork for future work in studying narratives in social media.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {Wed Mar 29 00:00:00 EDT 2017},
month = {Wed Mar 29 00:00:00 EDT 2017}
}

Conference:
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