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

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