Climate change sentiment on Twitter: An unsolicited public opinion poll
arXiv:1505.03804 · doi:10.1371/journal.pone.0136092
Abstract
The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque for the public to understand. Social media, however, is a forum where individuals of diverse backgrounds can share their thoughts and opinions. As consumption shifts from old media to new, Twitter has become a valuable resource for analyzing current events and headline news. In this research, we analyze tweets containing the word "climate" collected between September 2008 and July 2014. Through use of a previously developed sentiment measurement tool called the Hedonometer, we determine how collective sentiment varies in response to climate change news, events, and natural disasters. We find that natural disasters, climate bills, and oil-drilling can contribute to a decrease in happiness while climate rallies, a book release, and a green ideas contest can contribute to an increase in happiness. Words uncovered by our analysis suggest that responses to climate change news are predominately from climate change activists rather than climate change deniers, indicating that Twitter is a valuable resource for the spread of climate change awareness.
11 pages, 10 figures
References in corpus (3)
Cited by in corpus (9)
- Visitors to urban greenspace have higher sentiment and lower negativity on Twitter
- Understanding Environmental Posts: Sentiment and Emotion Analysis of Social Media Data
- Short text classification with machine learning in the social sciences: The case of climate change on Twitter
- Machine Learning of Public Sentiments toward Wind Energy in Norway
- Spread of Tweets in Climate Discussions
- Preparation of Improved Turkish DataSet for Sentiment Analysis in Social Media
- From chambers to echo chambers: Quantifying polarization with a second-neighbor approach applied to Twitter's climate discussion
- Climate Action During COVID-19 Recovery and Beyond: A Twitter Text Mining Study
- Transitions in climate and energy discourse between Hurricanes Katrina and Sandy