Combining Big Data Analysis to Study the Relationship between the Tone of CSR Reports and Information Asymmetry

Abstract

Big data mining and analytics help uncover hidden patterns and correlations in business. It serves as the optimal tool to interpret the behavior of companies in specific environments. Built on the large amount of data obtained from various sources, this paper examines the relationship between the tone of corporate social responsibility(CSR) reports and the degree of information asymmetry between investors and managers. Python software is used for data collection, text analysis, and word frequency statistics. The results show that the tone of the social responsibility report reduces the degree of information asymmetry, indicating that the tone of the social responsibility report has an incremental information effect. Further analysis shows that the tone of CSR reports significantly reduces information asymmetry in companies with optimistic forecasts and high media attention.