TY  - BOOK
AU  - 
AU  - Nicholas Diakopoulos and Michael Koliska
ED  - 
ED  - 
ED  - Digital Journalism. 5:7 (September 2017). pp.809-828 
ED  - 
SN  - 2
PY  - 0000///46
CY  - 
PB  - 
KW  - 
KW  - 2
KW  - 0
KW  - 6
KW  - 20
KW  - ALGORITHMIC JOURNALISM;ROBOT JOURNALISM
KW  - ALGORITHMIC TRANSPARENCY
KW  - MEDIA ACCOUNTABILITY
KW  - sears;sears0
N1  - ABSTRACT:  The growing usase of difficult - to - parse algorithmic systems in the production of news, from algorithmic curation to automated writing and news bots, probematizes the normative turn toward transparency as a key tenet of journalism ethics. Pagmatic guidelines that facilitate algorithmic transparency are needed. This research presents a focus group study that engaged 50 participants across the news media and academia to discuss case studies of algorithms innew production and elucidate factors that are amenable to disclosure. Results indicate numerrous oppurtunities to disclose information about an algorithmic system across layers such as the data, model, enference , and interface. Findings underscore the deeply entwined rolesof human actors in such systems as well as challenges to adoption of algorithmic transparency including the dearth of incentives for organizations and the concern  for overwhelming end-users  with a surfeit of transparency information; 5
ER  -