With the continuous update of technical means, it is possible to store and process a large amount of data in news dissemination. This research mainly discusses the development of the news industry in the context of big data. Entering the era of big data, with the update of data collection and analysis and processing technology, audience feedback in news dissemination can directly through the in-depth mining of audience data and full sample analysis, fully and timely present the audience’s needs, preferences and behavior patterns. The value of audience feedback. Big data analysis of users can not only be applied to the overall analysis of users, but also can be refined to individual analysis. Through big data-based charts, the originally singular information presents different expressions, which greatly enhances the readability of news information. The main factors that affect users’ use of mobile news clients are the speed of news updates and the professionalism and comprehensiveness of news content, which account for 30% and 20% respectively. This research helps to propose a feasible development path for the future development of traditional news production.
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