Affective Polarization in Online Climate Change Discourse on Twitter

Online social media has become an important platform to organize around different socio-cultural and political topics. An extensive scholarship has discussed how people are divided into echo-chamber-like groups. However, there is a lack of work related to quantifying hostile communication or affecti...

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Vydáno v:Proceedings of the ... International Conference on Advances in Social Network Analysis and Mining s. 443 - 447
Hlavní autoři: Tyagi, Aman, Uyheng, Joshua, Carley, Kathleen M.
Médium: Konferenční příspěvek
Jazyk:angličtina
Vydáno: IEEE 07.12.2020
Témata:
affective polarization
Blogs
Climate change
Meteorology
online social networks
Scholarships
Social networking (online)
stance detection
Systematics
ISSN:2473-991X
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Shrnutí:Online social media has become an important platform to organize around different socio-cultural and political topics. An extensive scholarship has discussed how people are divided into echo-chamber-like groups. However, there is a lack of work related to quantifying hostile communication or affective polarization between two competing groups. This paper proposes a systematic, network-based methodology for examining affective polarization in online conversations. Further, we apply our framework to 100 weeks of Twitter discourse about climate change. We find that deniers of climate change (Disbelievers) are more hostile towards people who believe (Believers) in the anthropogenic cause of climate change than vice versa. Moreover, Disbelievers use more words and hashtags related to natural disasters during more hostile weeks as compared to Believers. These findings bear implications for studying affective polarization in online discourse, especially concerning the subject of climate change. Lastly, we discuss our findings in the context of increasingly important climate change communication research.
ISSN:2473-991X
DOI:10.1109/ASONAM49781.2020.9381419