With the advancement of the Artificial Intelligence (AI) algorithms, the Machine-Generated Content (MGC) news is widely employed in the news media industry. This has brought tremendous opportunities and challenges to the journalism industry as well as the entire society. This paper introduces the current applications of AI technologies in smart news generation. Specifically, we focus on the automation processes of the current text news generation and video news generation by using AI technologies such as machine learning, deep learning, artificial neural network, and natural language processing and generation. It then summarizes the effectiveness of the MGC news from the perspectives of timeliness, efficiency, level of objectiveness, reliability and bias avoidance. We conclude the paper by raising up the challenges AI-generated news bring to the news purveyor, to the news readers, and to the news content generation itself. As AI writing is in a progressive era, journalists nowadays need to consider transforming and moving from a functional model of writing simple news stories to more in-depth and creative reporting, and be able to co-exist harmoniously with AI news bots. This paper provides researchers and practitioners from the field of news media with solid technological foundations to understand the current smart news generation mechanisms, and opens the door for further exploration and discussion of MGC in many other fields of news media industry. Further empirical studies on the effectiveness of AI generated news across multiple scenarios and countries are suggested to verify our research results.

Authors:
Cong Qi, The Hong Kong Polytechnic University, Hong Kong
Xinqi Wei, The Hong Kong Polytechnic University, Hong Kong

About the Presenter(s)
Dr Cong Qi is a University Assistant Professor/Lecturer at The Hong Kong Polytechnic University in Hong Kong

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