Climate Change Data Portal
DOI | 10.1080/14693062.2020.1870098 |
Bots and online climate discourses: Twitter discourse on President Trump’s announcement of U.S. withdrawal from the Paris Agreement | |
Marlow T.; Miller S.; Roberts J.T. | |
发表日期 | 2021 |
ISSN | 1469-3062 |
起始页码 | 46 |
结束页码 | 59 |
英文摘要 | In the early days of social media, social scientists speculated that it could support democracy because large media conglomerates could not dominate it. Regarding climate change, research documents the influence of the fossil fuel industry in climate denial discourses in the traditional media. Therefore, a similar hope emerged that a more democratized platform would see less polarization in belief about climate change's scientific basis. However, online public opinion about climate change continues to be extremely polarized, and the social forces behind it are not well understood. Here, we examine the role of one proposed mechanism for the systemic polarization and spread of disinformation in online discourses - the automated social media bot. This article pioneers the use of bot detection software on climate change discussion on Twitter, using automated monitoring of 6.8 million tweets. We examine the period around the time of U.S. President Donald Trump's announcement of U.S. withdrawal from the Paris Agreement on June 1, 2017. We find that the announcement generated an immediate online social movement response with very low suspected bot presence. Prior to and afterwards, however, suspected bots were responsible for approximately 25% of original tweets. Additionally, we find that suspected bots were more frequent in some topic areas than others, including denialist discourses focused on research questioning the reality or importance of climate change. Key policy insights On an average day during our study period, automated bots produced an estimated one-quarter of all original tweets referencing climate change and global warming. Bots were more active in some discussion areas than others - including climate denialist messages. President Trump's announcement of the U.S.'s planned withdrawal from the Paris Agreement generated an immediate online social movement response with very low suspected bot presence. For social media to deliver on its promise of a decentralized and democratic forum, automated accounts need to be identified, marginalized, and removed. © 2021 Informa UK Limited, trading as Taylor & Francis Group. |
英文关键词 | Climate change denial; discourse analysis; environmental sociology; social media; topic modeling |
来源期刊 | CLIMATE POLICY
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/183665 |
作者单位 | New York University Abu Dhabi, Abu Dhabi, United Arab Emirates; Providence, United States; Institute at Brown for Environment and Society, Brown University, Providence, 02906, United States |
推荐引用方式 GB/T 7714 | Marlow T.,Miller S.,Roberts J.T.. Bots and online climate discourses: Twitter discourse on President Trump’s announcement of U.S. withdrawal from the Paris Agreement[J],2021. |
APA | Marlow T.,Miller S.,&Roberts J.T..(2021).Bots and online climate discourses: Twitter discourse on President Trump’s announcement of U.S. withdrawal from the Paris Agreement.CLIMATE POLICY. |
MLA | Marlow T.,et al."Bots and online climate discourses: Twitter discourse on President Trump’s announcement of U.S. withdrawal from the Paris Agreement".CLIMATE POLICY (2021). |
条目包含的文件 | 条目无相关文件。 |
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