<?xml version="1.0" encoding="UTF-8"?>
<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>An Incentive Mechanism for Trading Personal Data in Data Markets · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/2106.14187/</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/2106.14187/feed.xml" rel="self" type="application/rss+xml" /><item><title>An Incentive Mechanism for Trading Personal Data in Data Markets — mentioned by belter</title><link>https://news.ycombinator.com/item?id=27680643</link><guid isPermaLink="false">urn:hackerpapers:mention:2106.14187:27680643</guid><pubDate>Tue, 29 Jun 2021 19:30:15 GMT</pubDate><description>&lt;p&gt;&amp;quot;...With the proliferation of the digital data economy, digital data is considered as the crude oil in the twenty-first century, and its value is increasing. Keeping pace with this trend, the model of data market trading between data providers and data consumers, is starting to emerge as a process to obtain high-quality personal information in exchange for some compensation. However, the risk of privacy violations caused by personal data analysis hinders data providers&amp;#x27; participation in the data market. Differential privacy, a de-facto standard for privacy protection, can solve this problem…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/2106.14187/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.GT</category></item><item><title>An Incentive Mechanism for Trading Personal Data in Data Markets — HN submission</title><link>https://news.ycombinator.com/item?id=27680642</link><guid isPermaLink="false">urn:hackerpapers:submission:2106.14187:27680642</guid><pubDate>Tue, 29 Jun 2021 19:30:15 GMT</pubDate><description>&lt;p&gt;An Incentive Mechanism for Trading Personal Data in Data Markets&lt;/p&gt;&lt;p&gt;&lt;/p&gt;&lt;p&gt;2 points; 1 discussion reply on HN. &lt;a href="https://hackerpaper.kaipfister.de/p/2106.14187/"&gt;Paper and source history&lt;/a&gt;. A submission is not an endorsement.&lt;/p&gt;</description><category>cs.GT</category></item></channel></rss>
