Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Stefanie Sirén-Heikel"'
Publikováno v:
Media and Communication, Vol 8, Iss 3, Pp 39-49 (2020)
In this article we consider automated journalism from the perspective of bias in news text. We describe how systems for automated journalism could be biased in terms of both the information content and the lexical choices in the text, and what mechan
Externí odkaz:
https://doaj.org/article/95c1f851845e4b499782dc9d09978e73
Publikováno v:
Journal of the Association for Information Science and Technology
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 in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::fb06968899248d8367c3513302896c23
https://doi.org/10.1002/asi.24656
https://doi.org/10.1002/asi.24656
News automation is an emerging field within journalism, with the potential to transform newswork. Increasing access to data, combined with developing technology, will allow further inquiries into automated journalism. Producing news text using NLG (n
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0fcbfb65d8b86cafa781e1de50075c44
http://hdl.handle.net/10138/303845
http://hdl.handle.net/10138/303845
Publikováno v:
MindTrek
In the age of increasing floods of information, finding the news signals from the noise has become increasingly resource and time intensive for journalists. Generally, news media companies have the important role of filtering and explaining this floo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90ab6cc5efe74d95348ebdc832467edc
https://doi.org/10.1145/3131085.3131112
https://doi.org/10.1145/3131085.3131112