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Title: Prediction of social media postings as trusted news or as types of suspicious news

Abstract

Disclosed are systems, techniques, and non-transitory storage media for predicting social media postings as being trusted news or a type of suspicious news. The systems, techniques, and non-transitory storage media are based on unique neural network architectures that learn from a combined representation including at least representations of social media posting content and a vector representation of communications among connected users.

Inventors:
Issue Date:
Research Org.:
Pacific Northwest National Laboratory (PNNL), Richland, WA (United States)
Sponsoring Org.:
USDOE
OSTI Identifier:
1840296
Patent Number(s):
11074500
Application Number:
15/886,079
Assignee:
Battelle Memorial Institute (Richland, WA)
Patent Classifications (CPCs):
G - PHYSICS G06 - COMPUTING G06F - ELECTRIC DIGITAL DATA PROCESSING
G - PHYSICS G06 - COMPUTING G06N - COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
DOE Contract Number:  
AC05-76RL01830
Resource Type:
Patent
Resource Relation:
Patent File Date: 02/01/2018
Country of Publication:
United States
Language:
English

Citation Formats

Volkova, Svitlana. Prediction of social media postings as trusted news or as types of suspicious news. United States: N. p., 2021. Web.
Volkova, Svitlana. Prediction of social media postings as trusted news or as types of suspicious news. United States.
Volkova, Svitlana. Tue . "Prediction of social media postings as trusted news or as types of suspicious news". United States. https://www.osti.gov/servlets/purl/1840296.
@article{osti_1840296,
title = {Prediction of social media postings as trusted news or as types of suspicious news},
author = {Volkova, Svitlana},
abstractNote = {Disclosed are systems, techniques, and non-transitory storage media for predicting social media postings as being trusted news or a type of suspicious news. The systems, techniques, and non-transitory storage media are based on unique neural network architectures that learn from a combined representation including at least representations of social media posting content and a vector representation of communications among connected users.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2021},
month = {7}
}

Works referenced in this record:

Feature-augmented neural networks and applications of same
patent, December 2016


Fake News or Truth? Using Satirical Cues to Detect Potentially Misleading News
conference, January 2016


Behavior prediction on social media using neural networks
patent-application, June 2017


Methods to determine likelihood of social media account deletion
patent-application, October 2017