Abstract：New technologies bring new privileges to their users. They often break old patterns and challenge previous orders, bringing about a series of new problems. In the era of artificial intelligence, “algorithm is power”, which means that after being “empowered” by users and technology, recommendation algorithm technology has the special power to filter, define, deliver information and record, and store personal data, and thus in a sense replaces traditional media in value judgment and supervision. After getting these powers, algorithm is not always well-intentioned or does not always produce good results. In terms of audience, issues such as information cocoon rooms, data abuse, algorithmic black boxes, and transfer of supervision power pose threats of different degrees to users' privacy, autonomy, right to know, right of equality, and right to be forgotten. At the industry level, the way of news production and transmission has changed, and the monopoly status of professional news organizations has been impacted. At the social level, the publicity of the media and its supervisory role as a social public instrument have been weakened. Confronted with the ethical dilemma caused by recommendation algorithm technology in the field of journalism and communication, we should be people-centered, pay attention to human value, elevate the role of human being in data collection, data calculation, and algorithm modelling, and find a balance between efficiency-oriented “algorithms” and fairness-oriented “news”, and on this basis make ethical principles and application regulations for algorithmic recommendation of news.
2021, Vol. 38 
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