Previous studies have shown that social media indicators can be used to predict the price trend of cryptocurrency. However, how to judge the quality of social media content and its impact on prediction performance is still an important issue. This paper discusses the influence of sentiment expressed in social media content and discussion heat on Bitcoin market indicators from macro and micro levels respectively. To measure the information quality and information source quality of tweets, we build a weighted directed user-tweet model to capture the intensity of the impact of tweets in the social media environment and the influence of the authors. In addition, this study also discusses the moderating role of sentiment consistency and information dissemination quality in social media. The results of regression analysis preliminarily confirmed our hypothesis.
Fu, Jing and Liu, Zhiyong, "Impact of sentiment from social media on Bitcoin market" (2022). PACIS 2022 Proceedings. 33.
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