Data Intelligent Reconstruction of the Practice Path of Media Information Ecology Based on Artificial Intelligence

In the digital age, various media information is processed by digital technology, deconstructed into data, stored and circulated on computer networks. On this basis, the rapid development of big data and artificial intelligence has given birth to the concept of data intelligence and has had an impact on the media information ecology. Based on media practice driven by artificial intelligence technology, this paper analyzes the practice paths and problems of media information ecology. The paper argues that the media can achieve in-depth user and information understanding through data intelligence centered on algorithm logic. This kind of machine comprehension supports the media to realize intelligent information production, intelligent information distribution and intelligent information management, and reflects the practice path of data intelligent reconstructing media information ecology. With the wide application of data intelligence in specific media business scenarios, the issues of user privacy security and human-machine relationship have gradually emerged, requiring the media not to rely too much on the technical rationality brought by data intelligence, but to pay attention to the key role of human subjective consciousness in the media information ecology.