ReVera Framework: A Framework for Fact Checking Traceability

João Victor de Souza, Elias Cyrino Assis, F. Mendonça, Jairo Francisco de Souza
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Abstract

Professional fact-checking tends to be costly and scalability challenging. For this reason, a series of methods to automate this process has been emerging. Unfortunately, these methods have been created with monolithic architectures, not making use of pre-built parts, and are harder to be understood by others. This work aims to propose a framework, where the development of methods can be done in a modular manner, creating workflows based on key steps that can be linked together to generate the input classification. For this, a study of the literature was conducted to identify the main processing steps of the methods, seeking to develop a solution that would guarantee flexibility of execution and interoperability between the different processing components. With this, the automatic verification process was described in a limited set of steps that can be performed, creating independent components that implement each of them. The framework makes use of a proposed data traceability ontology to map all generated data during execution under a unified vocabulary, which facilitates communication between these independent components.
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ReVera框架:事实检查可追溯性的框架
专业的事实核查往往成本高昂,可扩展性也具有挑战性。因此,出现了一系列自动化此过程的方法。不幸的是,这些方法都是用整体架构创建的,没有使用预先构建的部件,并且很难被其他人理解。这项工作旨在提出一个框架,其中方法的开发可以以模块化的方式完成,创建基于关键步骤的工作流,这些步骤可以链接在一起以生成输入分类。为此,对文献进行了研究,以确定方法的主要处理步骤,寻求开发一种解决方案,以保证执行的灵活性和不同处理组件之间的互操作性。这样,自动验证过程就被描述为可以执行的一组有限的步骤,创建实现每个步骤的独立组件。该框架利用提出的数据可跟踪本体在统一词汇表下映射执行期间生成的所有数据,从而促进这些独立组件之间的通信。
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