<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Aashish Anantha Ramakrishnan | Jason S. Lucas</title><link>https://jsl5710.github.io/authors/aashish-anantha-ramakrishnan/</link><atom:link href="https://jsl5710.github.io/authors/aashish-anantha-ramakrishnan/index.xml" rel="self" type="application/rss+xml"/><description>Aashish Anantha Ramakrishnan</description><generator>HugoBlox Kit (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Thu, 01 Jan 2026 00:00:00 +0000</lastBuildDate><item><title>Beyond speculation: Measuring the Growing Presence of LLM-generated texts in Multilingual Disinformation</title><link>https://jsl5710.github.io/publication/journal-paper-speculation/</link><pubDate>Thu, 01 Jan 2026 00:00:00 +0000</pubDate><guid>https://jsl5710.github.io/publication/journal-paper-speculation/</guid><description>&lt;div class="callout flex px-4 py-3 mb-6 rounded-md border-l-4 bg-blue-100 dark:bg-blue-900 border-blue-500"
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&lt;div class="callout-body"&gt;This work provides the first comprehensive empirical analysis of LLM-generated content in multilingual disinformation campaigns, offering crucial insights for developing cross-linguistic detection strategies.&lt;/div&gt;
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&lt;div class="callout-body"&gt;&lt;strong&gt;Status&lt;/strong&gt;: This article has been accepted for publication in IEEE (2025). Full publication details including DOI and page numbers will be updated upon final publication.&lt;/div&gt;
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