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Soveatin Kuntur

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Articles

Click it or Leave it: Detecting and Spoiling Clickbait with Informativeness Measures and Large Language Models

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By Soveatin Kuntur, Tymoteusz Urban, Mateusz Kubita
| arxiv.org
arXivLabs is a framework that allows collaborators to develop and share new arXiv features directly on our website. Both individuals and organizations that work with arXivLabs have embraced and accepted our values of openness, community, excellence, and user data privacy. arXiv is committed to these values and only works with partners that adhere to them. Have an idea for a project that will add value for arXiv's community? Learn more about arXivLabs.
Open in Who Shared View Duplicates (671) Issue with article?

Comparative Analysis of Graph Neural Networks and Transformers for Robust Fake News Detection: A Verification and Reimplementation Study

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By Anna Wroblewska, Anna Wróblewska, Marcin Paprzycki, Soveatin Kuntur, Maciej Krzywda
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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