Author: Olaf Kopp
Reading time: 6 Minutes

Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources

Topics: , , ,

Rate this post

The document titled “Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources” discusses a novel approach to evaluating the reliability of web sources based on the accuracy of factual information they provide, rather than using traditional signals such as hyperlinks or browsing history.

The scientific paper Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources from Google deals with the algorithmic determination of the credibility of websites.

This scientific paper deals with how to determine the trustworthiness of online sources. In addition to the analysis of links, a new method is presented that is based on the verification of published information for accuracy.

We propose a new approach that relies on endogenous signals, namely, the correctness of factual information provided by the source. A source that has few false facts is considered to be trustworthy.

For this, methods of data mining are used, which I have already discussed in detail in the articles How can Google identify and interpret entities from unstructured content? and Natural language processing to build a semantic database.

We call the trustworthiness score we computed Knowledge-Based Trust (KBT). On synthetic data, we show that our method can reliably compute the true trustworthiness levels of the sources.

Using this approach, sources can be rated with a “trustworthiness score” without including the popularity factor. Websites that frequently provide incorrect information are devalued. Websites that publish information in line with the general consensus are rewarded. This also reduces the likelihood that websites that attract attention through fake news will gain visibility on Google.

The complete analysis of this document is only for SEO-Thought-Leader (yearly) and SEO-Thought-Leader (monthly) members only.

To read the full patent and paper analysis you have to sign up for a monthly or yearly membership.
Your advantages:

+ Full analysis of hundreds of well researched active Microsoft and Google patents.
+ Google patents and research papers simply summarized from an SEO perspective for quick insights.
+ All patents classified by topic for targeted research.
+New patent summaries every month. Notification via E-Mail
+ Gain fundamental insights for your SEO work and become a real thought leader.
Become a SEO thought leader now!


Content from the blog

LLMO: How do you optimize for the answers of generative AI systems?

As more and more people prefer to ask ChatGPT rather than Google when searching for read more

What is the Google Knowledge Vault? How it works?

The Google Knowledge Vault was a project by Google that aimed to create an extensive read more

What is BM25?

BM25 is a popular ranking function used in information retrieval systems to estimate the relevance read more

The dimensions of the Google ranking

The ranking factors at Google have become more and more multidimensional and diverse over the read more

Interesting Google patents for search and SEO in 2024

In this article I would like to contribute to archiving well-founded knowledge from Google patents read more

What is the Google Shopping Graph and how does it work?

The Google Shopping Graph is an advanced, dynamic data structure developed by Google to enhance read more