I think one of the biggest benefits, and detriments, of the online world is always giving us more of what we like. The design of an algorithms is to pump content into our awareness based on our preferences and past selections. This is how so many of us end up going down the proverbial “rabbit hole” clicking on one link after the other. Or how we sometimes fritter away hours of time “doom scrolling,” without ever really accomplishing anything.
This type of approach offers many advantages. Sometimes it’s helpful to find other things you might be interested in. It can be an effective way to connect with others who share interests or experiences. This can be helpful if you want to find something less common. Tailored content provides me with selections and options of things I’m likely to find enjoyable. I remember that Amazon was one of the first to provide this feature. When shopping on Amazon, it’s common to see options based on purchases from other consumers who bought the same things. While some of this may sound appealing, there’s a sinister dark side to this type of myopic content matching.
Sometimes giving people more of what they like can be really damaging and dangerous. For example, men trolling the internet to make connections with children. Giving them more of what they like makes it easy for them to prey on vulnerable users. Or for others who might be obsessive about a certain topic, e.g., teenagers and their physical appearances. Connecting these people with more of the same may not be healthy or productive.
Another down side with always seeing more of the same thing is that it doesn’t provide us with an opportunity to see other viewpoints. It can be healthy and productive to learn about different perspectives. This can help to both strengthen a position, or come up with more long lasting solutions.
Finally, algorithms always designed to give us more of the same, mean we don’t have the opportunity to discover or learn about new things. That is, unless other users like us, also stray outside of their “preference parameters” and explore something different. While it can be nice to constantly be spoonfed all the latest and greatest tailored options specifically for what we like, it can also end up being too much of a good thing.
