PATENT CLAIM ANALYSIS

Application Number: 16268329
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["707", "722000"]

Abstract:
Techniques are provided for rating the veracity of content distributed via digital communications sources by creating an ontology and selecting keywords for a topic of the content, creating a customizable intelligence channel for the topic, and extracting from the customizable intelligence channel a first list of potential experts on the topic sorted by at least relevance and influence. The list of experts may be supplemented by mining trusted media sources to extract a second list of potential experts or witnesses on the topic. The first and second lists of potential experts are evaluated as a function of at least one of professionalism, reliability, proximity, experience, responsiveness, and lack of self-interest in the topic to identify a short list of experts. The content is provided to the short list of experts, who are polled about the veracity of the content to create a veracity score for delivery with the content.

Claim (Index 9):
The method of  claim 1 , further comprising creating at least one customizable intelligence channel for at least one topic of the content relating to potential sources of fake news and the semantics of fake news content.

Metadata:
- Claim Count in Document: 29.0
- Percentile: 99.0
- Lexical Diversity: 2.14667
- Patent Class: 707.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15642890', '15077315', '15143730', '13843589', '12833954']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1974772160807681
- 35 USC 102 Novelty (BERT): 0.4802479827653665
- Combined Prediction Score: 0.225754292749228
- Mean Citation Score: 178.778324
- Max Citation Score: 190.84338
- Similarity Product: 133.96825764533045

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test