US 12,135,738 B2
System and method for cyberbullying detection
Moiz Kaizar Sonasath, Sunnyvale, CA (US); and Vinod Cherian Joseph, Fremont, CA (US)
Assigned to SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed by SAMSUNG ELECTRONICS CO., LTD., Suwon-si (KR)
Filed on Jun. 23, 2021, as Appl. No. 17/355,978.
Claims priority of provisional application 63/042,936, filed on Jun. 23, 2020.
Prior Publication US 2021/0397638 A1, Dec. 23, 2021
Int. Cl. G06F 16/35 (2019.01); G06F 16/332 (2019.01); G06F 16/335 (2019.01); G06N 3/045 (2023.01); H04L 51/52 (2022.01)
CPC G06F 16/35 (2019.01) [G06F 16/3329 (2019.01); G06F 16/335 (2019.01); G06N 3/045 (2023.01); H04L 51/52 (2022.05)] 18 Claims
OG exemplary drawing
 
1. A method for identifying cyberbullying, the method comprising:
obtaining content from a first electronic device associated with a first user;
identifying, using a machine learning model, cyberbullying of the first user based on the content obtained from the first electronic device;
obtaining contract information associated with a contract between the first user and a second user, wherein the first user is a child, and wherein the second user is a parent of the child;
generating first anonymized information related to the cyberbullying based on the contract information;
providing the first anonymized information related to the cyberbullying to a second electronic device associated with the second user, wherein the providing of the first anonymized information comprises substituting sensitive information with the first anonymized information which mimics real data without compromising the sensitive information, wherein the first anonymized information has been selected from a dictionary of words based on a context of the first user, and wherein the first anonymized information comprises a first set of sensitive information related to the cyberbullying that has been anonymized to a first level of anonymization; and
providing second anonymized information related to the cyberbullying to a third electronic device associated with a third user, wherein the second anonymized information comprises a second set of sensitive information related to the cyberbullying that has been anonymized to a second level of anonymization, the first level of anonymization being higher than the second level of anonymization.