As artificial intelligence (AI) technologies become more ubiquitous for streamlining and optimizing work, they are entering fields representing organizational logics at odds with the efficiency logic of automation.
One such field is journalism, an industry defined by a logic enacted through professional norms, practices, and values. This paper examines the experience of technologists developing and employing natural language generation (NLG) in news organizations, looking at how they situate themselves and their technology in relation to news work.
Drawing on institutional logics, a theoretical framework from organizational theory, we show how technologists shape their logic for building these emerging technologies based on a theory of rationalizing news organizations, a frame of optimizing news work, and a narrative of news organizations misinterpreting the technology.
The authors interviews reveal technologists mitigating tensions with journalistic logic and newswork by labeling stories generated by their systems as non journalistic content, seeing their technology as a solution for improving journalism, enabling newswork to move away from routine tasks. They also find that as technologists interact with news organizations, they assimilate elements from journalistic logic beneficial for benchmarking their technology for more lucrative industries.
