TSVer is a new benchmark dataset for fact verification against time-series evidence, with 304 annotated real-world claims, 400 time series, verdicts, and justifications, plus baseline results showing current models struggle.
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A PRISMA-based survey of 158 computational works on toxic meme detection introduces a new toxicity taxonomy and a framework linking target, intent, and conveyance tactics while noting trends in LLMs and cross-modal methods.
An unsupervised Bayesian inference method with amortized variational inference detects coordinated inauthentic accounts on Twitter by clustering on account-level traits and shared narratives, substantially outperforming naive baselines and approaching supervised performance.
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TSVer: A Benchmark for Fact Verification Against Time-Series Evidence
TSVer is a new benchmark dataset for fact verification against time-series evidence, with 304 annotated real-world claims, 400 time series, verdicts, and justifications, plus baseline results showing current models struggle.
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Toxic Memes: A Survey of Computational Perspectives on the Detection and Explanation of Meme Toxicities
A PRISMA-based survey of 158 computational works on toxic meme detection introduces a new toxicity taxonomy and a framework linking target, intent, and conveyance tactics while noting trends in LLMs and cross-modal methods.
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Unsupervised detection of coordinated information operations in the wild
An unsupervised Bayesian inference method with amortized variational inference detects coordinated inauthentic accounts on Twitter by clustering on account-level traits and shared narratives, substantially outperforming naive baselines and approaching supervised performance.