I was just wondering about a general privacy goal of having an LLM bot just flood the zone with random data to try and confound advertising models, simulating clicks and likes/engagement across the spectrum just to wreck any meaningful data correlations.
If you were aiming this concept at two specific targets, i.e., costing the Trump campaign money and screwing with their data, things could get really interesting. Like an open source bot that would coordinate bizarre trends across large cohorts of users to convince the data miners that, for example, a disproportionate number of voters in key regions are demographically or behaviorally skewed.
As online advertising becomes ever more ubiquitous and unsanctioned, AdNauseam works to complete the cycle by automating ad clicks universally and blindly on behalf of its users. Built atop uBlock Origin, AdNauseam quietly clicks on every blocked ad, registering a visit on ad networks’ databases. As the collected data gathered shows an omnivorous click-stream, user tracking, targeting and surveillance become futile.
I was just wondering about a general privacy goal of having an LLM bot just flood the zone with random data to try and confound advertising models, simulating clicks and likes/engagement across the spectrum just to wreck any meaningful data correlations.
If you were aiming this concept at two specific targets, i.e., costing the Trump campaign money and screwing with their data, things could get really interesting. Like an open source bot that would coordinate bizarre trends across large cohorts of users to convince the data miners that, for example, a disproportionate number of voters in key regions are demographically or behaviorally skewed.
Take a look at this browser extension: https://adnauseam.io/