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(Ed.)
In the artificial intelligence era, algorithmic journalists can produce
news reports in natural language from structured data thanks to
natural language generation (NLG) algorithms. This paper presents
several algorithmic content generation models and discusses the
impacts of algorithmic journalism on work within a framework
consisting of three levels: replacing tasks of journalists, increasing
efficiency, and developing new capabilities within journalism. The
findings indicate that algorithmic journalism technology may lead
some changes in journalism by enabling individual users to produce
their own stories. This paper may contribute to an understanding of
how algorithmic news is created and how algorithmic journalism
technology impacts work.
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