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Status of Social Media Age Verification laws in the United States. In 2022 California passed The California Age-Appropriate Design Code Act or AB 2273 which requires websites that are likely to be used by minors to estimate visitors ages to give them some amount of privacy control and on March 23, 2023, Utah Governor Spencer Cox signed SB 152 and HB 311 collective known as the Utah Social ...
(2) Protect against any anticipated threats or hazards to the security or integrity of personal information; (3) Protect against unauthorized access to and acquisition of personal information that is likely to result in a material risk of identity theft or other fraud to the individual to whom the information relates.
State laws are enforced by respective state attorneys general or designated state agencies. The privacy laws in the U.S. reflect a complex landscape shaped by sector-specific requirements and state-level variations, illustrating the challenge of protecting privacy in a federated system of government.
A recent news release from Pornhub revealed that users ages 18 to 24 accounted for the largest share of site traffic in 2023, making up 27% of total visits. The second-largest group was users ages ...
There are also several governmental organizations that protect an individual's privacy and anonymity on the Internet, to a point. In an article presented by the FTC, in October 2011, a number of pointers were brought to attention that help an individual Internet user avoid possible identity theft and other cyber-attacks.
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Anonymity is a shield from the tyranny of the majority. . . . It thus exemplifies the purpose behind the Bill of Rights and of the First Amendment in particular: to protect unpopular individuals from retaliation . . . at the hand of an intolerant society." However, anonymous online speech is not without limits.
De-anonymization is the reverse process in which anonymous data is cross-referenced with other data sources to re-identify the anonymous data source. [3] Generalization and perturbation are the two popular anonymization approaches for relational data. [ 4 ]