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Ai recommendation systems are making people more polarized. Ie when we consume similar content recommended to us through recommendation algorithms its a filter
by acd 4y ago
Ai recommendation systems are making people more polarized. Ie when we consume similar content recommended to us through recommendation algorithms its a filter bubble.
Consuming Radio/tv content is different since you get some other content with original content.
Social media feed recommendation results, news search results and video recommendation.
There should be research via social science study of consuming content via recommendation algorithm content vs not using recommendation.
- freemint 4y agoCompare > Ai recommendation systems are making people more polarized. With > Peoples recommendation are making people more polarized. When you draw this analogy it becomes obvious that it is a false statement. The problems is not that AIs (or humans) recommend stuff. The problem is what objective is maximised by the recommendation system/person. One might say the objectives of AIs are constrained by profit driven behaviour but that is a problem of how the servers and developers are financed not of the technology.
- WhyNotHugo 4y agoYou're actually surprisingly right. An AI could be trained to show varied enough content to avoid polarisation. E.g.: show videos of consequences of gun-accidents to gun lovers. Or lots of less obvious examples, of course. An AI could actually even determine how slowly it should recommend varied content. The problem is that if an organisation starts doing this, people will ask the opposite: "to be unbiased, an algorithm should show anti-black campaigns to BLM-supporters". Not that I agree with this sentiment, I'm just pointing out people will use this argument claiming anything else is biased. I do think you're onto something though; your comment is underrated.