Digital Technology Empowering News Production and Dissemination: Innovative Pathways

Vollständiger Abstract

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As artificial intelligence, big data, algorithmic recommendation and short-video technology continue to develop rapidly, the news industry is changing dramatically in the process of digitalisation and will alter its traditional model of news creation and dissemination. This paper explores the current situation of digital technology application in newsrooms, identifies the main problems that have arisen from the changes, and puts forward new ideas for utilising digital technologies in news production and dissemination. Through a systematic review of literature and comparative case studies of top news organisations around the world, it has been found that although digital technology has promoted improvements in production efficiency and expanded the spread of news content, serious problems have also arisen, such as content homogeneity due to algorithmic templates, the formation of information cocoons through personalised recommendations, limited use of technology solely at the distribution stage, and ethical issues caused by artificial intelligence and fake news. Given the circumstances mentioned above, the four directions of innovation proposed in this paper are as follows: A model of human-AI collaborative production; optimised algorithmic distribution with public interest weightings; diversified multi-platform dissemination strategies; and the construction of transparent AI ethics governance frameworks. The above results provide new material for discussions on the future of journalism in the era of generative artificial intelligence and offer some suggestions for news organizations in balancing the efficiency of technology with ethical journalism.