'Link in Bio' is a Slow Knife

'Anil Dash: We don't even notice it anymore -- "link in bio." It's a pithy phrase, usually found on Instagram, which directs an audience to be aware that a pertinent web link can be found on that user's profile. Its presence is so subtle, and so pervasive, that we barely even noticed it was an attempt to kill the web. Links on the web are incredibly powerful. There are decades of theory behind the role of hyperlinks in hypertext -- did you know in most early versions, links were originally designed to be two-way? You'd be able to see every page on the web that links to this one. But even in the very simple form that we've ended up with on the World Wide Web for the last 30 years, links are incredibly powerful, opening up valuable connections between unexpected things. For a closed system, those kinds of open connections are deeply dangerous. If anyone on Instagram can just link to any old store on the web, how can Instagram -- meaning Facebook, Instagram's increasingly-overbearing owner -- tightly control commerce on its platform? If Instagram users could post links willy-nilly, they might even be able to connect directly to their users, getting their email addresses or finding other ways to communicate with them. Links represent a threat to closed systems. Here's the thing, though: people like links. So closed systems have to present a pressure release valve. Hashtags are a great way out. They use the semiotics of links (early versions of hashtags on social platforms were really barely more than automated links to a search for a particular term) but are also constrained by the platforms they live on. A hashtag is easier to gather into a database, to harvest, to monetize. It's much easier, sure, but it also doesn't have all the messiness of a real link. Instagram doesn't have to worry that clicking on its hashtags will accidentally lead people to Twitter, or vice versa.' -- source: https://tech.slashdot.org/story/19/12/12/1540216 Cheers, Peter -- Peter Reutemann Dept. of Computer Science University of Waikato, NZ +64 (7) 858-5174 http://www.cms.waikato.ac.nz/~fracpete/ http://www.data-mining.co.nz/
participants (2)
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Lawrence D'Oliveiro
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Peter Reutemann