With the continuous progress of artificial intelligence technology, domestic and foreign media industries have begun to apply it to clues collection, topic selection decision-making, content production, product distribution, and user interaction. Practice has proven that artificial intelligence technology has improved the productivity of news information, the accuracy of reaching users, and the user's reading experience.
Intelligent editing effectively improves content production efficiency. To achieve the production and release of news information 24/7, with high timeliness, and in multiple forms, it is necessary to highly integrate, centrally manage, and uniformly schedule media resources that are in a decentralized state and difficult to share. Currently, with the support of artificial intelligence technology, the production and release of news information has been able to break through the constraints of subjective and objective conditions in the past. For example, for mass data released by media big data capture, public sensing systems, and ordinary Internet users, news producers can use technologies such as audio and video processing, speech recognition, and face recognition to discover clues and refine topics in the complex and fragmented information. The use of intelligent technology helps to reduce the time and manpower consumed in the process of collecting, organizing, and transmitting information, effectively improving the production efficiency of news information. Giving machines and programs what they can do to liberate human resources and engage in work that requires innovation and imagination is the basic concept of the automation revolution since the industrial revolution. Media intelligence with data technology as the core promotes the transformation of news production from "large and comprehensive" to "comprehensive and deep", which not only can collect more comprehensive data information, but also is more conducive to in-depth exploration and production of content with high added value.
IMBDKM 2024 Calendar
Closing Date for Paper Submissions: July 7, 2022 January 1, 2023
Notification of Acceptance: September 2, 2022 February 1, 2023
Registration Deadline: October 10, 2022 February 8, 2023
Final Paper Submissions: February 17, 2023
Conference Period: December 23-25, 2022 March 17-19, 2023