US 12,341,739 B2
Systems and methods for mitigating the spread of offensive content and/or behavior
Trisha N. Prabhu, Naperville, IL (US)
Assigned to Trisha N. Prabhu, Naperville, IL (US)
Filed by Trisha N. Prabhu, Naperville, IL (US)
Filed on Aug. 31, 2022, as Appl. No. 17/900,866.
Application 17/900,866 is a continuation in part of application No. 17/393,540, filed on Aug. 4, 2021, granted, now 11,706,176.
Application 17/393,540 is a continuation of application No. 16/372,140, filed on Apr. 1, 2019, granted, now 11,095,585, issued on Aug. 17, 2021.
Application 16/372,140 is a continuation of application No. 15/187,674, filed on Jun. 20, 2016, granted, now 10,250,538, issued on Apr. 2, 2019.
Application 15/187,674 is a continuation in part of application No. 14/738,874, filed on Jun. 13, 2015, granted, now 9,686,217, issued on Jun. 20, 2017.
Claims priority of provisional application 62/012,296, filed on Jun. 14, 2014.
Prior Publication US 2022/0417194 A1, Dec. 29, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04L 51/212 (2022.01); G06F 3/04817 (2022.01); G06F 3/04842 (2022.01); H04L 51/046 (2022.01); H04L 51/063 (2022.01); H04L 51/52 (2022.01)
CPC H04L 51/212 (2022.05) [G06F 3/04817 (2013.01); G06F 3/04842 (2013.01); H04L 51/046 (2013.01); H04L 51/063 (2013.01); H04L 51/52 (2022.05)] 18 Claims
OG exemplary drawing
 
1. A method for identifying offensive message content comprising:
for each particular responsive message of a plurality of responsive messages received in response to an initial message:
providing, by one or more computers, content of the particular responsive message as an input to a machine learning model that has been trained to predict a likelihood that an initial message provided by a first user device includes offensive content based on processing of responsive message content from a different user device provided in response to the initial message;
processing, by one or more computers, the content of the particular responsive message through the machine learning model to generate output data indicating a likelihood that the initial message includes offensive content; and
storing, by one or more computers, the generated output data;
determining, by one or more computers and based on the output data generated for each of the plurality of responsive messages, whether the initial message likely includes offensive content; and
based on a determination, by one or more computers, that the output data generated for each of the plurality of responsive messages indicates that the initial message likely includes offensive content, performing, by one or more computers, one or more remedial operations to mitigate exposure to the offensive content, wherein performing the one or more remedial operations comprises:
adjusting, using one or more computers, a content score associated with the initial message content, wherein the adjusted content scores causes the initial message content to be demoted in list of content items.