DOI: 10.24251/hicss.2018.214
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Abstract: This paper examines the automation of editorial curation of online news and blog articles based on reader ratings. Websites usually provide no guidelines on how to evaluate and rate articles; the NewsTrust project explores how doing so could improve rating precision. Building on and expanding from existing, but incomplete, research, I describe simulations of article comparison to determine how many reader ratings are necessary to distinguish between articles.