It reminds me of this conspiracy that was circulating a few months back that Apple Maps had “deleted” cities and places in Lebanon to culturally erase it for Israel’s invasion.
In reality (which you could see by e.g. looking at Reddit posts from a few years ago), Apple Maps’ coverage of Lebanon was absolute unusable dogshit the entire time. There were complaints about how it wasn’t even usable for basic navigation in Beirut. The city of Tyre (which was misspelled “Tyr”) was still there despite being one of the hardest-hit cities by Israel’s invasion.
Which was, to be fair, staggeringly incompetent, but it was provably true. Apple Maps’ coverage sucked so badly that, at a surface level, it looked like somebody took an erase tool to a competent map.
I think a lot of people don’t realize how automated corporate maps applications are. Which can be a weakness for crowd-sourced data like OpenStreetMap when there aren’t enough contributors, but that democratization is also a huge benefit that anyone can see and fix issues. The main parts of Google Maps that aren’t automated are points of interest, and those are kept up-to-date thanks to the network effect where e.g. business owners see value in maintaining their information or users feel like they’re helping out (read: doing free labor for a trillion-dollar corporation).
It’s just a bit silly considering how these companies have been leveraging publicly available information and how automated most of their systems actually are. It’s part of why customer service at many of them (not Apple so much I guess) is absolutely abysmal and they basically do their best to try to avoid to having a human being in the customer service loop at all. Automating almost all software and removing the human element has literally been the name of the game for 20 years at least.
I mean the original Google ranking algorithm itself was partially made by checking the publicly available information (via web scraping) of how many times a site had been linked to from other sites. And to keep it accurate, they had to keep scraping constantly to keep updating the publicly available data for their own purposes. All of which was automated as well, by the way.
It reminds me of this conspiracy that was circulating a few months back that Apple Maps had “deleted” cities and places in Lebanon to culturally erase it for Israel’s invasion.
In reality (which you could see by e.g. looking at Reddit posts from a few years ago), Apple Maps’ coverage of Lebanon was absolute unusable dogshit the entire time. There were complaints about how it wasn’t even usable for basic navigation in Beirut. The city of Tyre (which was misspelled “Tyr”) was still there despite being one of the hardest-hit cities by Israel’s invasion.
Which was, to be fair, staggeringly incompetent, but it was provably true. Apple Maps’ coverage sucked so badly that, at a surface level, it looked like somebody took an erase tool to a competent map.
I think a lot of people don’t realize how automated corporate maps applications are. Which can be a weakness for crowd-sourced data like OpenStreetMap when there aren’t enough contributors, but that democratization is also a huge benefit that anyone can see and fix issues. The main parts of Google Maps that aren’t automated are points of interest, and those are kept up-to-date thanks to the network effect where e.g. business owners see value in maintaining their information or users feel like they’re helping out (read: doing free labor for a trillion-dollar corporation).
It’s just a bit silly considering how these companies have been leveraging publicly available information and how automated most of their systems actually are. It’s part of why customer service at many of them (not Apple so much I guess) is absolutely abysmal and they basically do their best to try to avoid to having a human being in the customer service loop at all. Automating almost all software and removing the human element has literally been the name of the game for 20 years at least.
I mean the original Google ranking algorithm itself was partially made by checking the publicly available information (via web scraping) of how many times a site had been linked to from other sites. And to keep it accurate, they had to keep scraping constantly to keep updating the publicly available data for their own purposes. All of which was automated as well, by the way.