Algorithmic Journalism and Its Impacts on Work

Publication Type:

Conference Proceedings




<p>In the artificial intelligence era, algorithmic journal-ists 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 based on O*NET data and within a framework consisting of three levels: replacing tasks of journalists, increasing efficiency, and developing new capabilities within journalism. We also discuss journalism ethics associated with the growth of the algorithmic journalism field. The findings indicate that algorithmic journalism technology may lead to some changes in certain tasks of journalists and some shifts in journalism practice by enabling individual users to produce their own stories. This paper may contribute to an initial understanding of how algorithmic news is created, how algorithmic journalism technology impacts journalists’ work, and what type of ethical issues brings with it.</p>

It appears your Web browser is not configured to display PDF files. Download adobe Acrobat or click here to download the PDF file.

Click here to download the PDF file.