Useful account of the role of ‘lead generators’ in generating ‘distinct digital-advertising landscapes’ with significant socio-economic ramifications. The filter bubble isn’t just a matter of cultural constraint:
As the big piles of data online continue to grow, these issues will become more pronounced. Information filters that control what version of the Internet a person sees are calibrated based on how much money various algorithms think you have. Which means distinct digital-advertising landscapes are increasingly drawn on socioeconomic lines.
The effect may be a more pleasant online experience for someone who is perceived to have more income. In the same way that startups have put a premium on cutting out human interaction for those who can afford it, adlessness can be a luxury for those who choose to buy ad blockers so their webpages load faster. But distinct ad landscapes aren’t just about seeing more elegant corporate messages, or encountering fewer pop-up ads—or even none at all. Companies and individuals are working together to target consumers on a personal level, to use their most vulnerable Google searches against them.