After facing significant criticism for dramatically altering its moderation policies earlier in the year, Meta might be reconsidering its approach.

It appears that for several months now, Meta has been gradually implementing its “Community Notes” feature across Facebook, Instagram, and Threads.

Taking a page from the community notes feature launched on Twitter in 2021, which was retained by Elon Musk after the platform’s transition to X, this system empowers users to provide context to posts they find misleading, incomplete, or simply unclear.

This shift demonstrates Mark Zuckerberg’s group’s desire to rely more on collective user participation rather than having Meta control the verification process…

A System Relying on User Consensus

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As described on the page detailing this new feature, when a post appears to lack context, contributors can now write a brief explanatory note of less than 500 characters, along with a link to a source. However, the uniqueness of this system lies in how Meta decides whether or not to publish these notes…

Instead of relying on an editorial board, as was previously the case in France and Germany, Meta is instead turning to a variety of viewpoints.

If users with typically diverse opinions agree on the usefulness of a note, it is more likely to be displayed under the post in question. Meta justifies this approach by stating that it is designed to prevent the system from reflecting a single ideological perspective.

Mixed Initial Results for Meta

While it is still too early to draw definitive conclusions about this new feature, early statistics indicate limited uptake. According to preliminary data released by Guy Rosen, Meta’s director of information security, out of over 15,000 notes submitted by 70,000 contributors since its launch in the United States, only 6% have been published.

Despite this activity, numerous criticisms remain. A recent study by the Center for Democracy and Technology points out that seeking consensus may slow the visibility of corrections.

Unfortunately, in the digital world, incorrect information can spread widely before it is corrected, which raises questions about the effectiveness of such a system, especially since it cannot be applied to private groups, and the proliferation of false images generated by AI on Instagram could complicate matters…