Cody Emily M, Reagan Andrew J, Mitchell Lewis, Dodds Peter Sheridan, Danforth Christopher M
Computational Story Lab, University of Vermont, Burlington, VT 05401, United States of America; Vermont Complex Systems Center, University of Vermont, Burlington VT 05401, United States of America; Department of Mathematics and Statistics, University of Vermont, Burlington VT 05401, United States of America.
School of Mathematical Sciences, The University of Adelaide, SA 5005, Australia.
PLoS One. 2015 Aug 20;10(8):e0136092. doi: 10.1371/journal.pone.0136092. eCollection 2015.
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.
人为气候变化的后果在科学论文、报纸文章和博客中得到了广泛讨论。报纸文章可能缺乏准确性,而科学论文中的研究结果的严重性可能对公众来说过于晦涩难懂。然而,社交媒体是一个不同背景的个人可以分享他们的想法和观点的平台。随着消费从传统媒体转向新媒体,推特已成为分析时事和头条新闻的宝贵资源。在这项研究中,我们分析了2008年9月至2014年7月期间收集的包含“气候”一词的推文。通过使用一种先前开发的名为“快乐计”的情绪测量工具,我们确定了集体情绪如何因气候变化新闻、事件和自然灾害而变化。我们发现,自然灾害、气候法案和石油钻探会导致幸福感下降,而气候集会、一本书的发行和一场绿色创意竞赛会导致幸福感上升。我们的分析揭示的词汇表明,对气候变化新闻的反应主要来自气候变化活动家而非气候变化否认者,这表明推特是传播气候变化意识的宝贵资源。