| In the past 10 years,with the rapid development of the Internet,big data and AI,the application of intelligent science and technology continues to empower traditional industries.In the media field,from the international media giants to the domestic head new media,are trying to apply AI algorithm to the whole process of news production.AI had become a news producer,not just a tool,it will certainly subvert the entire media industry.N Finance,a financial media,launched the robot writing project "Xiaoqiang",leading the way of intelligent media.Meanwhile,it also faces various problems brought by robot writing,such as "the threat of robot journalists","information cocoon",etc.By questionnaires survey for readers and interviews with employees,this paper sort out the essence of the main problem with robot writing of N Finance,the imbalance of internal and external "human-computer relationship".And then,proposes the countermeasures and solutions,based on those basic theories such as human resource management and information theory.Firstly,the research repositions and divides the work of reporters based on Snell model,then reconstructs employee motivation by Two Factor Theory and builds a human-machine cooperation mechanism.Secondly,for the external “content homogenization” problem,the research analyzes the mechanism of strengthening the “information cocoon” in the context of robot writing under information ecology theory,and proposes technical governance means such as content productization,high integration of artificial and intelligence,and construction of PUGC content platform.Lastly,through repositioning and dividing of labor matching,the research connects and optimizes the internal and external human-machine relationship,and systematically builds the human-machine relationship management model between the writing robot,staff and readers.Ultimately,based on information ecology theory,this research opens the black box of content production and distribution of robot writing,and creatively helps N finance solve the internal and external human-machine relationship problems brought by robot writing,and provides a blueprint and reference for the transformation of domestic financial media to smart media. |