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Strategies For Promoting Online Climate Change Consensus

Posted on:2022-05-10Degree:DoctorType:Dissertation
Country:ChinaCandidate:W ShiFull Text:PDF
GTID:1480306746957489Subject:Ecology
Abstract/Summary:PDF Full Text Request
Climate change is bringing numerous challenges to earth systems.Although the scientific community agrees that the climate change is a serious and urgent issue,there are still huge differences among the public on the existence,importance,and key issues of climate change.Given that the public's climate consensus is a prerequisite for the concerted efforts of human society,in recent years,the climate science community has frequently called for the strengthening of interdisciplinary research and seeking communication strategies to promote climate change consensus.In recent years,the vigorous development of the Internet has made climate discussions more complicated,brought many challenges to the communication of climate change,and made research on how to effectively enhance public consensus has great significance.In this context,this research makes use of Internet big data and adopts the perspective of computational communication to conduct research on the principles of climate change communication in the Internet era.Firstly,this study takes the cognitive differences reflected by the terms ”climate change” and ”global warming” as an example to analyze the gap between the public's current understanding of climate issues and scientific consensus.The study found that“global warming” means looser climate discussions,more political annotations,and more attention to local climate phenomena such as temperature and extreme weather? “climate change” is a compact topic defined by the three major components of energy,environment and climate action.The associations between climate change and politics are more hidden.Although the two terminologies have been covering more and more common key climate concepts in recent years,the ways in which they construct these concepts are still very different.Secondly,this research explores the effectiveness of diverse narrative strategies in terms of raising the consensus on climate change.By comparing the three psychological pathways of appealing to cognition,appealing to perception,appealing to emotions and related variables,it is found that the effectiveness of cognitive factors has been overestimated in previous climate change communication? Appealing to emotion and perception is more effective in promoting climate discussion,the latter is the only strategy that can promote the public to follow up on climate issues in the long term.Third,this research explores user strategies for enhancing climate change consensus.By calculating the mutual influence relationship between different groups in each subtopic of climate discussion,the groups with the most agenda-setting ability and the key groups that are absent are identified,so as to use key users to enhance the communication effect of each subtopic of climate change.Finally,this research explores the interference factors prohibiting climate change consensus.Studies have found that automated manipulations have been used to influence users' climate views on the Internet,and social bots have contributed up to 15.40%of climate discussions.Although skeptical social bots are not dominant in number,they are more strategic than activist social bots.They will deliberately initiate dialogue with humans who hold different positions while avoiding dissemination.Based on these findings,this study proposes strategies for coping with and using AI technology in climate discussions.This research relies on Internet big data and focuses on the public's understanding of climate change.By exploring from the psychological,user and technical dimensions,it seeks communication strategies to promote the public's consensus on climate change,in order to contribute to the coordinated reactions to climate change by human society.
Keywords/Search Tags:Climate Change, Science Communication, Public Understanding of Climate Change, New Media, Big Data Computation
PDF Full Text Request
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