The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Nov. 08, 2022

Filed:

Sep. 11, 2020
Applicant:

Arizona Board of Regents on Behalf of Arizona State University, Scottsdale, AZ (US);

Inventors:

Kai Shu, Mesa, AZ (US);

Deepak Mahudeswaran, Tempe, AZ (US);

Huan Liu, Tempe, AZ (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 16/906 (2019.01); G06F 16/9035 (2019.01); G06F 16/903 (2019.01); G06F 16/951 (2019.01); H04L 51/02 (2022.01); G06F 16/9032 (2019.01); H04L 51/52 (2022.01);
U.S. Cl.
CPC ...
G06F 16/906 (2019.01); G06F 16/9035 (2019.01); G06F 16/90332 (2019.01); G06F 16/90335 (2019.01); G06F 16/951 (2019.01); H04L 51/02 (2013.01); H04L 51/52 (2022.05);
Abstract

Detecting fake news involves analyzing a distribution of publishers who publish many news articles, analyzing a distribution of various topics relating to the published news articles, analyzing a social media context relating to the published news articles, and detecting fake news articles among the news articles based on the analysis of the distribution of publishers, the analysis of the distribution of the various topics, and the analysis of the social media context. Detecting fake news alternatively involves receiving online news articles including both fake online news articles and real online news articles, creating a hierarchical macro-level propagation network of the fake online news and real online news articles, the hierarchical macro-level propagation network comprising news nodes, social media post nodes, and social media repost nodes, creating a hierarchical micro-level propagation network of the fake online news and real online news articles, the hierarchical micro-level propagation network comprising reply nodes, analyzing structural and temporal features of the hierarchical macro-level propagation network, analyzing structural, temporal, and linguistic features of the hierarchical micro-level propagation network, and identifying fake news among the online news articles based on the analysis of the structural and temporal features of the hierarchical macro-level propagation network and the analysis of the structural, temporal, and linguistic features of the hierarchical micro-level propagation network.


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