University of Science and Technology of China, China.
Public Underst Sci. 2023 Oct;32(7):845-859. doi: 10.1177/09636625231166542. Epub 2023 May 10.
Climate change misinformation leads to significant adverse impacts and has become a global concern. Identifying misinformation and investigating its characteristics are of great importance to counteract misinformation. Therefore, this study aims to characterize the semantic features (frames and authority references) of climate change misinformation in the context of Chinese social media. Posts concerning climate change were collected from Weibo between January 2010 and December 2020. First, veracity, frames, and authority references were manually labeled. Then, we applied logistic regression to examine the relationship between information veracity and semantic features. The results revealed that posts concerning environmental and health impact and science and technology were more likely to be misinformation. Moreover, posts referencing non-specific authority sources are more likely to be misinformed than posts making no references to any authority references. This study provides a theoretical understanding of the semantic characteristics of climate change misinformation and practical suggestions for combating them.
气候变化错误信息导致了重大的负面影响，已成为全球关注的焦点。识别错误信息并研究其特征对于对抗错误信息非常重要。因此，本研究旨在描述中国社交媒体背景下气候变化错误信息的语义特征（框架和权威参考）。我们从 2010 年 1 月至 2020 年 12 月期间从微博上收集了有关气候变化的帖子。首先，我们手动标记了真实性、框架和权威参考。然后，我们应用逻辑回归来检验信息真实性和语义特征之间的关系。结果表明，有关环境和健康影响以及科学技术的帖子更有可能是错误信息。此外，引用非特定权威来源的帖子比没有引用任何权威参考的帖子更有可能被误导。本研究为气候变化错误信息的语义特征提供了理论理解，并为对抗错误信息提供了实用建议。
