Expert Engine
Last updated
Last updated
The Expert Engine is at the heart of the Confidently project. It is a set of instruments that, starting from the Data Input is able to produce the scoring for a textual resource.
The Expert Engine is composed of:
Simple Reliability Data: simple indicators derived from the resource itself or its URL
Complex Reliability Data: complex indicators produced by the AI analysis of the resource
User-Generated Reliability Data: user-generated scoring by supervalidators and validators working on the platform
By resource we mean a news in textual format. By reliability data or trustworthiness data we mean all the numerical indicators of trustworthiness of a certain resource. A resource is considered to be reliable when the weighted score of its indicators signals a very low probability that it is a fake news or misinformation.
The model we follow shares some similarities with Iffy.news and their attention to "promising indicators". It is important to perform some initial evaluations against the domain name of the resource and the author/newspaper itself.
Date of domain registration and ages of online presence
Presence of the domain in accredited journalism lists (e.g. E&P Databook or FIEG for Italy).
Presence of the domain or newspaper in Wikidata, for example: La Repubblica (accredited Italian newspaper)
MOZ domain authority score and backlinks
Historical view of DNS changes via SecurityTrails or DomainTools
Social present, social media account age, engagement rate
Presence of the website in a blacklist such as the Iffy Index or Bufale.net for Italy
Google Fact Check Explorer (working API demo completed already)
NewsGuard scoring
TODO
This component represents the reliability data of a news source generated by users of the platform (validators, supervalidators) and it has mainly two purposes:
it concurs with a very high weight to the final scoring
it trains the AI models for Complex Reliability Data