For the necessary selection of posted content, social media use targets such as frequent, regular, or extensive usage, watching videos until the end, or engagement (liking, sharing, commenting…). It is, however, tricky to strike an attractive balance of known versus new or surprising content, to not keep recommending the same content to users over and over again. When Netflix was still mailing DVDs instead of streaming, the company even opened a competition based on this problem: Whoever could create a better recommendation system than their own “Cinematch” would win a prize of one million US dollars, which highlights the value of good content recommendation. Recommendation and personalization algorithms in social media face a similar dilemma to Netflix: If they only display content that fits a user’s previous selections the feed could become boring after a while and result in shorter or less frequent use of the platform. Conversely, YouTube has been criticized for including more radical content in its recommendations to users who watched political videos, including extremist content and conspiracy theories
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. Equally problematic for the video platform was the fact that in 2017, ads from large advertisers had been shown next to videos with extreme political content and hate speech. The cancellation of billions of dollars’ worth of advertising deals put YouTube under a lot of pressure to adapt its curation not only to the users’ viewing behavior, but also to the interests of their advertisers. The platform subsequently changed its rules for monetizing videos, which in turn had repercussions for content creators, whose videos form the basis of bringing together viewers and ads.
In summary, there is a strong interrelation between what social media users want to see (in the sense of: what they click on, and how often); what appears useful for platform providers and their own, usually commercial, goals; what advertisers perceive as a friendly environment for their purposes, and what content gets produced by creators. Long-term trends towards more and more radical content recommendations or like-minded people sharing one-sided political content on social networking sites are seen as particular threats to opinion formation.