<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:dc="http://purl.org/dc/elements/1.1/"><channel><title>plagiarism | Journal Marketing</title><link>https://journal-marketing.fr/en/tags/plagiarism/</link><description>Analysis, guides and comparisons on SEO, AI, content, social, advertising and data. The digital marketing media.</description><language>en-US</language><lastBuildDate>Tue, 13 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://journal-marketing.fr/en/tags/plagiarism/index.xml" rel="self" type="application/rss+xml"/><item><title>AI text detector: the complete guide</title><link>https://journal-marketing.fr/en/blog/ai-text-detector/</link><pubDate>Tue, 13 Oct 2026 00:00:00 +0000</pubDate><guid>https://journal-marketing.fr/en/blog/ai-text-detector/</guid><dc:creator>Journal Marketing editorial team</dc:creator><description>An AI text detector estimates the probability that content was generated by artificial intelligence. How it works, its limits and existing tools.</description></item></channel></rss>