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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Single versus Double Blind Reviewing at WSDM 2017 · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1702.00502/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1702.00502/feed.xml" rel="self" type="application/rss+xml" /><item><title>Single versus Double Blind Reviewing at WSDM 2017 — mentioned by bo1024</title><link>https://news.ycombinator.com/item?id=15821212</link><guid isPermaLink="false">urn:hackerpapers:mention:1702.00502:15821212</guid><pubDate>Fri, 01 Dec 2017 01:19:01 GMT</pubDate><description>&lt;p&gt;This is very cool, but I&amp;#x27;m having trouble following the method behind the results. Say concretely, the result that single-blind reviewers give higher reviews to papers from prestigious sources. Can anyone help me understand? https://arxiv.org/pdf/1702.00502.pdf They give each paper a &amp;quot;blind&amp;quot; score bqps from the blind reviewers only. Then they fit the vector Theta to the model in 5.1 and present Theta in Table 5. They also present a p-value for each entry of Theta. In particular, for com (top company), uni (top university), and fam (famous author) the p-values are below 0.05. Bu I didn&amp;#x27;t see…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1702.00502/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.DL</category></item><item><title>Single versus Double Blind Reviewing at WSDM 2017 — HN submission</title><link>https://news.ycombinator.com/item?id=13570205</link><guid isPermaLink="false">urn:hackerpapers:submission:1702.00502:13570205</guid><pubDate>Sun, 05 Feb 2017 01:24:41 GMT</pubDate><description>&lt;p&gt;Single versus Double Blind Reviewing&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 0 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1702.00502/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.DL</category></item></channel></rss>
