Identifying and Understanding User Reactions to Deceptive and Trusted Social News Sources · HackerPapers discussionshttps://hackerpaper.kaipfister.de/p/1805.12032/Collected HN comments and submissions linking this paper.enMon, 02 Nov 2026 11:16:22 GMTIdentifying and Understanding User Reactions to Deceptive and Trusted Social News Sources — mentioned by kipchakhttps://news.ycombinator.com/item?id=25444895urn:hackerpapers:mention:1805.12032:25444895Wed, 16 Dec 2020 17:00:03 GMT<p>The list of trustworthy and untrustworthy sources seems to have been manually compiled in a prior paper. &gt;For that purpose, we use a widely-used and publicly available list of English news media Twitter accounts provided by Volkova et al. (2017) and Glenski, Weninger &amp; Volkova (2018a), which contains 424 English news media sources categorized in unreliable (satire, propaganda, hoax, clickbait) and reliable, following Rubin, Chen &amp; Conroy (2015). The list is linked in the referenced paper, but unfortunately doesn&#x27;t seem to be available anymore outside of a few examples given in the paper, such…</p><p><a href="https://hackerpaper.kaipfister.de/p/1805.12032/">Paper and discussion history</a>. A mention is not an endorsement.</p>cs.CL