| With the continuous development of cutting-edge technologies represented by big data,artificial intelligence,blockchain,cloud computing,VR/AR,and the metaverse,the media industry has gone through the electronic and internet ages and gradually entered the stage of intelligent media characterized by deep integration of media and technology.How to adhere to the "user-centered" concept and achieve "human-computer collaboration" to provide users with richer,more convenient,and personalized services has become a problem that the media industry must consider in the field of intelligent media.This paper takes the production of data news in the field of intelligent media as the research object,starting from a cross-disciplinary perspective and a technological path,and returning to communication ethics: on the one hand,it analyzes the principles of technology to deepen its value throughout the entire process of intelligent media and data news production,clarifying the evolution of news formats empowered by intelligent technology;on the other hand,it interprets its theoretical core,derived risks,and regulatory strategies from the perspective of technology ethics and value bias.Data news production in the field of intelligent media,through data analysis and mining,AIGC data news writing,personalized news recommendation,XR immersive display,ChatGPT chatbot interaction,blockchain data news copyright protection,and metaverse media ecology,and other cutting-edge applications,solves the problems of the mechanical traditional news gathering and editing process,the unidirectional flow of traditional news dissemination,and the lack of immersive experience in traditional news.From the discovery and collection of data news,to the editing and writing,the release,and finally to the experience and presentation of data news,it has brought a brand new transformation to every link of news production.Among them:In the process of discovering and collecting data news,data elements as the foundation,data support and in-depth mining can help with news discovery and topic planning;full-sensing and multi-dimensional tracking sensors and voice recognition can help with data news collection.In the process of editing and writing data news,efficient "human-computer collaboration" robots and AI algorithms help with the editing and writing of data news,and can also provide intelligent proofreading and review of data news content.In the stage of data news release,algorithm-led intelligent recommendation technology can ensure that data news accurately "reaches" users,on the one hand,personalized data news can be delivered through social media and user interactions;on the other hand,intelligent news verification technology with traceability features can safeguard the authenticity and accuracy of data news.Meanwhile,news curation,with its ability to integrate news fragments and mine their value,also plays a role in the transformation of data news distribution.In the experience and presentation of data news: VR,AR,XR and other technologies have bridged the gap between the real world and digital information,providing users with an immersive news experience;AI anchors have empowered the multimedia presentation of data news;the metaverse,as a broad integration of media and technology,and its digital twins,NFTs,and social cluster technologies have comprehensively expanded the iterative upgrade of data news experience.The protection of digital copyright in data news runs through the entire process of news production,safeguarding the quality of data news products and legal issues.Core blockchain technologies such as timestamps,smart contracts,and proof-of-work provide technical support to tackle challenges such as the difficulty in confirming news copyright,rights protection,and copyright protection.Behind the dazzling innovation of technology-driven data news production is a "calm" consideration of the ethical risks derived from new technologies,new scenarios,and new applications.While intelligent technology is a powerful tool for news production,triggering a revolution in media integration and promoting waves of media innovation,it has also changed the fundamental carrier and underlying tools for news production.At the same time,it has brought about unprecedented issues of data news ethics.This paper analyzes the technical ethics and communication risks of intelligent algorithms from the perspective of information values,explains the challenges of data news value bias from aspects such as fake news,algorithmic training,cognitive bias,lack of meaningful communication,and weakened gatekeeping roles,and discusses how to avoid ethical missteps in data news production from a regulatory methodological perspective.Based on this,we propose ethical risk regulatory strategies such as fostering a sense of responsibility,striving for algorithmic transparency and understanding,and strengthening news tracing and regulatory paths.These strategies aim to address ethical risk issues and meet the challenges of value bias. |
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