An artificial intelligence analysis of climate‐change influencers' marketing on Twitter
分析了两位代表性社会影响者（格蕾塔·通贝里和比尔·盖茨）在推特上围绕气候变化大会发布的相关推文，用人工智能和自然语言处理技术研究其营销机制、情感倾向及网络传播效果。
Abstract Designing marketing strategies with social media influencers are becoming increasingly relevant for setting political agendas. This study focuses on how two representative social influencers, Greta Thunberg and Bill Gates, engage in advising against climate change. The investigation uses 23,294 tweets posted by them or their followers citing them on climate change around the 25th edition of the United Nations Climate Change Conference. This study applies artificial intelligence and natural language processing to analyse the marketing mechanism of social influencers. We scrutinize the sentiment of the messages and then identify and analyse the different networks constructed around them to discern how pervasive a social influencer's message is. The results show that Thunberg and Gates follow different and unconnected strategies to deliver their messages to their followers.