AI Tools for Media Data Governance in the Post-Truth Era: from Abnormal Data Recognition to Intelligent Opinion Monitoring Algorithm

AI tools for media data governance in the post-truth era from abnormal data recognition to intelligent opinion monitoring algorithm is studied in the paper. The decisions and rules made by artificial intelligence are not necessarily superior to human beings. In terms of fairness, machine learning identifies patterns from past data and makes new decisions based on these patterns. Therefore, AI systems may consolidate or amplify historical bias. In the analysis of network public opinion, the first thing is to then grab the network text, and analyze the behavior characteristics, classify different behavior characteristics, so as to detect network public opinion according to some different behavior types and with this inspiration. In our designed model, the data mining algorithm is designed for the modelling. Through the comparison analysis, the performance is then validated.