事实核查(Fact-checking)已成为减少网上虚假信息传播的重要工具,它被证明可能减少个人对虚假新闻和谣言的信任,并提高政治知识水平。验证或驳斥某一说法是任何记者的核心任务,各种专门的事实核查组织已经形成,以纠正网上虚假概念、谣言和假新闻。2009年,著名的普利策奖国家报道类奖项授予Politifact,这标志着事实核查兴起的关键...
The emergence of tools based on large language models (LLMs), such as OpenAI's ChatGPT and Google's Gemini, has garnered immense public attention owing to their advanced natural language generation capabilities. These remarkably natural-sounding tools have the potential to be highly useful for ...
Fact checking can be an effective strategy against misinformation, but its implementation at scale is impeded by the overwhelming volume of information online. Recent artificial intelligence (AI) language models have shown impressive ability in fact-checking tasks, but how humans interact with fact-che...
From this perspective, it is also possible to see the development of the fact-checking journalistic practice through the models and/or methods proposed by the checking outlets. In this sense, there are elements that indicate the standardization of the models at the same time that a singularizatio...
Allsides has a unique approach to fact checking, looking at each trending topic from the perspective of left, right, and center media. Often, the key facts are not in dispute; rather, it’s the subtle (or obvious) bias applied to the same set of facts that’s highlighted by AllSides. ...
Language:All Sort:Most stars Deep Fact Validation rdftrustcredibilityfactcheckingtriplescoretrustworthinessfactchecking4rdffact-validationtriple-validation UpdatedSep 1, 2022 Java GONZOsint/FEAT Star29 Code Issues Pull requests FEAT, short for Factcheck Explorer Analysis Tool, is designed to facilitate the...
Automated Fact-Checking Data, models, and code to reproduce our Pipeline and Dataset Generation for Automated Fact-checking in Almost Any Language paper. Currently in review for NCAA journal. @article{drchal2023pipeline, title={Pipeline and Dataset Generation for Automated Fact-checking in Almost Any...
However, even the best-performing models generated a significant number of false claims. This underscores the risks of over-relying on language models that can fluently express inaccurate information. Automatic fact-checking tools like SAFE could play a key role in mitig...
In the past few years, multiple researchers claim to have shown that large language models can pass cognitive tests designed for humans, from working through problems step by step, to guessing what other people are thinking. These kinds of results are feeding a hype machine predict...
large language models can produce natural sounding articles at the click of a button, essentially automating the production of misinformation Deep fakes can make misinformation hard to detect Tools for fact-checking AI-generated articles The race for fact-checkers to keep pace with the mounting infor...