Patent ID: 11966702
Assignee: ALPHAVU, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. A computer-implemented method comprising:
receiving, via a network, at least one digital transcription of a conversation or statement from a digital communication platform;
storing on a computer or server, at least one digital transcription of a body of text predefined to be factually correct,
determining, by a processor, from the digital recording of the conversation, a conveyed risk of misinformation via the use of a plurality of machine learning (ML) techniques by performing operations on the transcription of the conversation or statement, the determining comprising the steps of:
a. processing the at least one digital transcription of the conversation and the body of text containing predefined factual text into a machine interpretable form by unigram and bigram Term Frequency-Inverse Document Frequency (TF-IDF) vectorization and 100-Dimensional Singular Value Decomposition (SVD);
b. processing, using steps b-e in claim 1, a conveyed sentiment of the conversation or statement;
c. calculating a cosine similarity between vectorized forms of the body of text and the predefined factual text;
d. calculating a gaussian scaled cosine similarity by using the cosine similarity as an argument for a gaussian distribution of a specified mean, standard deviation, and height;
e. calculating a linearly scaled sentiment form of the sentiment by passing the calculated sentiment into a linear function which takes nonzero values only when the sentiment is negative and has a specified negative slope and intercept;
f. calculating a misinformation risk of the body of text compared to the predefined factual text by adding the linearly scaled sentiment and the gaussian scaled cosine similarity.