Whether Social Media Negative Emotion Could Forecast the Risk of Enterprise Finance: Evidence from Baidu Tieba

Abstract

In the context of the current era, as a new form of information dissemination, social media has penetrated into every field of people’s life, and its impact on the financial industry has also attracted more and more scholars’ attention. From the perspective of social media, this paper focuses on the impact and prediction of negative emotions reflected by social media on corporate financial risk. In this paper, Pearson correlation coefficient is used for correlation analysis, and a linear regression model is built to analyze the relationship between negative social media and corporate finance. The results show that enterprises and investors can judge the financial risks of enterprises through the negative emotions of social media, thus reducing the losses of enterprises and investors. The conclusions of this study can improve the risk avoidance ability of enterprises to avoid negative emotions on social media, and provide important reference value for future operations.