<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Social Media-based Substance Use Prediction · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1705.05633/</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/1705.05633/feed.xml" rel="self" type="application/rss+xml" /><item><title>Social Media-based Substance Use Prediction — mentioned by vkreso</title><link>https://news.ycombinator.com/item?id=14429493</link><guid isPermaLink="false">urn:hackerpapers:mention:1705.05633:14429493</guid><pubDate>Sat, 27 May 2017 09:29:51 GMT</pubDate><description>&lt;p&gt;There was an interesting article published on arxiv 10 days ago titled: Social Media-based Substance Use Prediction or as MITTechRev titled it: Your Facebook activity can reveal whether you are a substance abuser.. https://www.technologyreview.com/s/607943/how-data-mining-fa... https://arxiv.org/abs/1705.05633&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1705.05633/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.CL</category></item></channel></rss>
