Faktasta

Faktasta is a framework for representing, validating, and ranking factual statements within digital knowledge systems. It aims to provide transparent evaluation of the reliability of facts by combining provenance, evidence quality, and logical consistency checks, and by exposing a reliability score for individual statements.

Core concepts include provenance metadata (source, publication date, authorship), evidential weight (how strongly the source supports the statement), and a fact graph where statements are nodes connected by support or contradiction edges. Temporal validity marks when a fact is considered true or applicable. Techniques for cross-source reconciliation detect conflicts and store resolutions, while consistency checks assess logical coherence among related statements.

Faktasta is intended to support explainable AI, data journalism, and knowledge-base curation by providing traceable justification for asserted facts. It complements broader efforts in fact-checking and provenance tracking, and is applicable to structured databases, knowledge graphs, and text-heavy corpora.

Implementation and limitations. Real-world adoption requires standardized data models and scoring schemes to compare evidence across sources. Critics note the potential subjectivity in assigning evidential weight and the computational overhead of maintaining provenance and consistency checks. As with any framework, success depends on clear governance, transparent scoring, and regular updates to reflect new information.