Traditional journalism is undergoing an algorithmic transformation. Nowadays, algorithmic news can be widely used as one of the main ways of information dissemination, but the controversy it brings is also increasingly prominent. In this article, the essence and formation mechanism of the controversy in algorithmic news are discussed in more detail by combing the related literature and analyzing the data of practical cases. It is found that the controversy of algorithmic news mainly originates from the issues of information filtering, recommendation bias and algorithm opacity. In addition, the controversy also relates to users' concerns about authority, credibility and diversity. Aiming at a series of issues arising from algorithmic controversy, this article proposes a tripartite solution strategy for platforms, users and media, which is of reference value for alleviating algorithmic news controversy , enhancing users' trust and satisfaction of algorithmic news.
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Yang et al. (2024) studied this question.
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