There’s a popular narrative that YouTube’s recommendation algorithm drives young Americans toward highly partisan and conspiratorial content. A new study by Equis Labs and Harmony Labs, however, suggests that the recommendations may play a more nuanced role in media diets than previously thought.Check this out:https://theytlab.com/

In experiment one, researchers used bots to mimic users who changed their media preferences and tracked their recommended videos over time. The bots were programmed to either follow or ignore the recommendation engine. This allowed researchers to observe the causal effects of the recommendation system without introducing bias or inaccuracies.

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The researchers then analyzed the average partisanship of recommended videos in a user’s sidebar and homepage, as well as the resulting changes to their media diets. They found that the recommendation system influenced both the frequency and types of videos the user watched, but did not necessarily radicalize their views or influence their beliefs.

In the second experiment, the researchers calculated the recommender’s “forgetting time”—the amount of time it took for a user with a long history of watching far-right news to stop getting recommended similar content. They found that the recommender’s forgetting time was around 120 video clips.

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