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Joined 2 years ago
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Cake day: August 20th, 2023

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  • I wonder whether behavioural data (such as how much time one spends on social media, view/like/comment/post ratios, how late one stays up, sentiment analysis of comments, etc.) are enough for social media/adtech surveillance systems to infer hormonal cycles from. If so, one can expect ads and targeted content to change across the board (on other services, cold-calls by telemarketers and such) depending on estimated cycle phase, and conditions that disrupt the cycle (such as pregnancy, menopause or various illnesses) to be inferrable from online activity, with the obvious consequences.