A new study from the Mozilla Foundation suggests that users who hit the Dislike button on videos to weed out content they don’t want to see are wasting their time. Via WIREDUK
Jesse McCrosky, a data scientist working with Mozilla on the study, says that isn’t entirely clear from YouTube’s public statements and published research about its recommender systems. “We have some small glimpses into the black box,” he says, which show that YouTube broadly considers two types of feedback: on the positive side, engagement, such as how long users watch YouTube and how many videos they watch; and explicit feedback, including dislikes.
The distinction between what YouTube believes it says about its algorithms and what Mozilla says is important, says Robyn Caplan, senior researcher at Data & Society, a New York nonprofit that has previously investigated YouTube’s algorithm.
Confusion over the intended functionality of user inputs is a key theme of the second part of Mozilla’s study: a subsequent qualitative survey of around one-tenth of those who had installed the RegretsReporter extension and participated in the study. Those that Mozilla spoke to said that they appreciated that inputs were directed specifically at videos and channels, but that they expected it to more broadly inform YouTube’s recommendation algorithm.
“I thought that was an interesting theme because it reveals that this is people saying: ‘This is not just me telling you I blocked this channel. This is me trying to exert more control over the other kinds of recommendations I’m going to get in the future,’” says Ricks.
For McCrosky, the key issue is that there’s a gap between the messaging users perceive YouTube is providing through its algorithmic inputs, and what they actually do. “There’s a disconnect in the degree to which they’re respecting those signals,” he says.
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