
Andreas Vlachos
Articles
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Nov 2, 2024 |
arxiv.org | Andreas Vlachos
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.
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Oct 16, 2024 |
arxiv.org | Caiqi Zhang |Tom Stafford |Nigel Collier |Andreas Vlachos
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Apr 8, 2024 |
arxiv.org | Andreas Vlachos
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Dec 19, 2023 |
arxiv.org | Andreas Vlachos
arXiv:2312.11785 (cs) Download PDF HTML (experimental) Subjects: Computation and Language (cs.CL) Cite as: arXiv:2312.11785 [cs.CL] (or arXiv:2312.11785v1 [cs.CL] for this version) https://doi.org/10.48550/arXiv.2312.11785 Submission history From: Zhangdie Yuan [ view email] [v1] Tue, 19 Dec 2023 01:48:31 UTC (7,509 KB) Bibliographic Tools Bibliographic Explorer Toggle Bibliographic Explorer () Litmaps Toggle Litmaps (What is Litmaps?) scite.ai Toggle scite Smart Citations (What are Smart...
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Jun 8, 2023 |
arxiv.org | Dongwon Lee |Andreas Vlachos
With the explosive advancement of AI technologies in recent years, the scene of the disinformation research is also expected to rapidly change. In this viewpoint article, in particular, we first present the notion of "disinformation 2.0" in the age of AI where disinformation would become more targeted and personalized, its content becomes very difficult to distinguish from real news, and its creation and dissemination become more accelerated by AI.
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