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dc.contributor.advisorHerzog, Davideng
dc.contributor.authorBold-Erdene, Javkhlaneng
dc.date.issued2020eng
dc.date.submitted2020 Springeng
dc.descriptionProfessional project report submitted in partial fulfillment of the requirements for the degree of Masters of Arts in Journalism from the School of Journalism, University of Missouri--Columbia.eng
dc.description.abstractThis research examines how early journalistic adopters of algorithms gained skills necessary to work with automation and artificial intelligence in newsrooms. The researcher conducted semi-structured interviews with eight journalists from medium to large news organizations. The research identified three key findings: Not every journalist needs to learn skills related to automation and artificial intelligence but having a basic understanding of what they are and their capabilities would be beneficial. It is more about learning those skills at conceptual levels without having to learn highly technical mathematics and statistics behind automation and artificial intelligence. Knowledge about common failures of automation and artificial intelligence or being able to see where things can go wrong is as equally important as technical and professional skills.eng
dc.identifier.urihttps://hdl.handle.net/10355/79884
dc.languageEnglisheng
dc.publisherUniversity of Missouri--Columbiaeng
dc.relation.ispartofcommunityUniversity of Missouri-Columbia. School of Journalism. Journalism masters projectseng
dc.rightsOpenAccess.eng
dc.rights.licenseThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License.
dc.subjectAuthor provided keywords: Algorithms, Automation, Artificial Intelligence, Data Journalism, Computational Journalismeng
dc.subject.lcshJournalism -- Study and teaching (Internship)eng
dc.titleApplication of algorithms in newsroomseng
dc.typeProjecteng
thesis.degree.disciplineJournalismeng
thesis.degree.levelMasterseng
thesis.degree.nameM.A.eng


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