US 12,216,693 B2
Computerized system and method for automatic moderation of online content
Fei Tan, Harrison, NJ (US); Yifan Hu, Mountain Lakes, NJ (US); Kevin Yen, Jersey City, NJ (US); Changwei Hu, New Providence, NJ (US); and Ben Shahshahani, Menlo Park, CA (US)
Assigned to YAHOO ASSETS LLC, New York, NY (US)
Filed by VERIZON MEDIA INC., New York, NY (US)
Filed on Sep. 15, 2021, as Appl. No. 17/475,710.
Prior Publication US 2023/0081879 A1, Mar. 16, 2023
Int. Cl. G06F 16/33 (2019.01); G06F 16/335 (2019.01); G06F 16/35 (2019.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01)
CPC G06F 16/3334 (2019.01) [G06F 16/335 (2019.01); G06F 40/30 (2020.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
training, by a device, using training data, a regression classifier to determine a toxic propensity score based on input;
identifying, by the device, an article, the article comprising a plurality of words comprised of text;
analyzing, by the device, the article, and identifying, as the input to the regression classifier, article information related to the plurality of word;
executing, by the device, the regression classifier on the article information as the input to the regression classifier, execution of the regression classifier on the article information determining, for the article, a toxic propensity score indicating how likely the article is to attract toxic comments;
determining, by the device, a type of moderation to perform on the article based on the determined toxic propensity score indicating that the article is likely to attract toxic comments; and
moderating, by the device, the article based on the type of determined moderation, the moderation comprising providing instructions for the article comprising the plurality of words comprised of text to be published with commenting disabled.