How to Train Your YouTube Recommender to Avoid Unwanted Videos
Alexander Liu, Siqi Wu, Paul Resnick

TL;DR
This study evaluates the effectiveness of YouTube's disinterest buttons in reducing unwanted recommendations through simulated user interactions and surveys, revealing limited impact on video page recommendations and low user awareness.
Contribution
It provides empirical evidence on the efficacy of YouTube's disinterest features and highlights user awareness gaps and their influence on recommendation control.
Findings
Using 'Not interested' significantly reduces topic-specific recommendations.
Many users are unaware of the 'Not interested' button.
Disinterest buttons have limited effect on video page recommendations.
Abstract
YouTube provides features for users to indicate disinterest when presented with unwanted recommendations, such as the "Not interested" and "Don't recommend channel" buttons. These buttons purportedly allow the user to correct "mistakes" made by the recommendation system. Yet, relatively little is known about the empirical efficacy of these buttons. Neither is much known about users' awareness of and confidence in them. To address these gaps, we simulated YouTube users with sock puppet agents. Each agent first executed a "stain phase", where it watched many videos of an assigned topic; it then executed a "scrub phase", where it tried to remove recommendations from the assigned topic. Each agent repeatedly applied a single scrubbing strategy, either indicating disinterest in one of the videos visited in the stain phase (disliking it or deleting it from the watch history), or indicating…
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Taxonomy
TopicsMisinformation and Its Impacts · Child Development and Digital Technology · Social Media and Politics
