https://jsl5710.github.io/tag/machine-generated-text/Machine-Generated TextHugoBlox Kit (https://hugoblox.com)en-usSun, 01 Feb 2026 00:00:00 +0000https://jsl5710.github.io/media/icon_hu_1b2044c02ce09a43.pnghttps://jsl5710.github.io/tag/machine-generated-text/https://jsl5710.github.io/project/multilingual-nlp/Sun, 01 Feb 2026 00:00:00 +0000https://jsl5710.github.io/project/multilingual-nlp/<p>Language technologies often fail beyond a handful of well-resourced languages, leaving billions of speakers vulnerable to disinformation and harmful content. This project develops multilingual approaches for detecting fake news, false claims, and machine-generated text across diverse linguistic landscapes—spanning 70+ languages. By building large-scale benchmarks and leveraging transfer learning techniques, this work directly addresses the Digital Language Divide, ensuring that information integrity tools are not limited to English or other high-resource languages but extend protection to the communities most susceptible to unchecked disinformation.</p> <p><strong>Related Publications:</strong></p> <ul> <li><strong>BLUFF</strong> (2026) — Benchmarking falsehoods/fake news in low-resource languages</li> <li><strong>Beyond Speculation</strong> (2026, IEEE) — LLM-generated texts in multilingual disinformation</li> <li><strong>MULTITuDE</strong> (2023, EMNLP) — Multilingual machine-generated text detection benchmark</li> <li><strong>Fighting Fire with Fire (F3)</strong> (2023, EMNLP) — LLMs&rsquo; dual role in crafting/detecting disinformation</li> <li><strong>Detecting False Claims in Low-Resource Regions</strong> (2022, ACL) — Caribbean false claim detection</li> </ul>