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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Instagram photos reveal predictive markers of depression · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1608.03282/</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/1608.03282/feed.xml" rel="self" type="application/rss+xml" /><item><title>Instagram photos reveal predictive markers of depression — mentioned by snissn</title><link>https://news.ycombinator.com/item?id=12279839</link><guid isPermaLink="false">urn:hackerpapers:mention:1608.03282:12279839</guid><pubDate>Sat, 13 Aug 2016 01:48:35 GMT</pubDate><description>&lt;p&gt;A note -- if you&amp;#x27;re linking to arXiv, it&amp;#x27;s better to link to the abstract (https://arxiv.org/abs/1608.03282) rather than directly to the PDF. From the abstract, one can easily click through to the PDF; not so the reverse. And the abstract allows one to do things like see different versions of the paper, search for other things by the same authors, etc. Thank you!&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1608.03282/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item><item><title>Instagram photos reveal predictive markers of depression — HN submission</title><link>https://news.ycombinator.com/item?id=12278722</link><guid isPermaLink="false">urn:hackerpapers:submission:1608.03282:12278722</guid><pubDate>Fri, 12 Aug 2016 20:53:31 GMT</pubDate><description>&lt;p&gt;Instagram photos reveal predictive markers of depression&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;157 points; 52 discussion replies on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/1608.03282/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item></channel></rss>
