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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1802.04291/</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/1802.04291/feed.xml" rel="self" type="application/rss+xml" /><item><title>Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign — mentioned by cromwellian</title><link>https://news.ycombinator.com/item?id=19417964</link><guid isPermaLink="false">urn:hackerpapers:mention:1802.04291:19417964</guid><pubDate>Mon, 18 Mar 2019 01:17:07 GMT</pubDate><description>&lt;p&gt;The tech companies have decades of experience fighting spam. Your comment is like saying &amp;quot;Gmail blocked billions of spam messages but they don&amp;#x27;t offer proof that they&amp;#x27;re not just banning libertarian and conservative emails!&amp;quot; The mechanisms by which they&amp;#x27;ve fought spam and fraud have been documented and there are numerous academic studies on the bot networks, actively tracing Twitter bot accounts back to their country of origin, and tracing by traffic analysis all of the reposts and reshares. You can find lots of papers written on publicly available data on pre-print services, like…&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1802.04291/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.SI</category></item></channel></rss>
