US 12,072,943 B2
Marking falsities in online news
Albhy Galuten, Santa Monica, CA (US)
Assigned to SONY INTERACTIVE ENTERTAINMENT LLC, San Mateo, CA (US)
Filed by SONY INTERACTIVE ENTERTAINMENT LLC, San Mateo, CA (US)
Filed on Jul. 30, 2020, as Appl. No. 16/943,668.
Application 16/943,668 is a division of application No. 15/901,740, filed on Feb. 21, 2018, abandoned.
Claims priority of provisional application 62/461,714, filed on Feb. 21, 2017.
Prior Publication US 2020/0356615 A1, Nov. 12, 2020
Int. Cl. G06F 16/9535 (2019.01); G06F 16/2457 (2019.01); G06F 16/248 (2019.01); G06F 16/335 (2019.01); G06Q 10/0639 (2023.01); G06Q 10/10 (2023.01); G06Q 30/018 (2023.01)
CPC G06F 16/9535 (2019.01) [G06F 16/24578 (2019.01); G06F 16/248 (2019.01); G06F 16/337 (2019.01); G06Q 10/0639 (2013.01); G06Q 10/10 (2013.01); G06Q 30/018 (2013.01)] 33 Claims
OG exemplary drawing
 
1. A method for marking falsities in online statements, the method comprising:
storing a machine modeled learning dataset for artificial intelligence in memory, the machine modeled learning dataset associated with identification of one or more rhetorical devices in a statement and applicable by the artificial intelligence for identifying the falsities in an online viral content in real-time;
accessing online data over a communication network regarding a plurality of different online statements that have been published or republished on one or more websites, the online statements including the one or more rhetorical devices;
automatically repeating analyses of the online data to identify recency of the online data regarding the rhetorical devices in the online statements based on the stored machine modeled learning dataset and natural language processing, wherein the analyses include identifying a subset of the online statements as including one or more falsities based on one or more applications of the learning dataset,
automatically assign one or more current scores to the websites, based on a criteria, wherein current weighting of the one or more scores associated with the learning dataset is adjusted based on the recency of the online data; and
generating, based on the adjusted current weighting of the one or more scores, a customized content display of the websites that published and the websites that have republished the online statements, wherein the customized content display is provided to a user device and includes one or more visual indicators of the identified falsities within the online statements published or republished by the websites, wherein one or more types of the visual indicators are customized based on preferences of a user of the user device.