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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1705.05546/</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/1705.05546/feed.xml" rel="self" type="application/rss+xml" /><item><title>Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users — mentioned by patcon</title><link>https://news.ycombinator.com/item?id=23340368</link><guid isPermaLink="false">urn:hackerpapers:mention:1705.05546:23340368</guid><pubDate>Thu, 28 May 2020 18:05:43 GMT</pubDate><description>&lt;p&gt;Through a Gender Lens: Learning Usage Patterns of Emojis from Large-Scale Android Users https://arxiv.org/pdf/1705.05546.pdf &amp;gt; Gender difference is always an important research topic in sociological and psychological studies from which there are many interesting findings. For example, females are evidenced to show a greater number of facial activities than males [40, 41] and observers can identify emotional states more accurately from female faces than from male faces [39]. With the advancement of data science methods, these hypotheses and conjectures about gender differences are measured and…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1705.05546/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.HC</category></item></channel></rss>
