> By that logic no product regulation could ever exist because it restricts in some way the free expression of any corporation subject to it.
Except that this is case law, not something I'm pulling out of my ass. See Moody v. NetChoice, LLC, 603 U.S. ___ (2024), in which the court ruled that compiling and curating user-generated content into "a distinctive expressive offering" is protected editorial discretion, and that "the First Amendment offers protection when an entity engaging in expressive activity, including compiling and curating others' speech, is directed to accommodate messages it would prefer to exclude." The court did not rule on whether the same First Amendment protection extends to personalized curation decisions made algorithmically solely based on user behavior online without any reference to a site's own standards or guidelines. However, we cannot definitively say that the algorithms Facebook and co. use are not making decisions based on standards or guidelines of some kind, whether those be the community guidelines FB publishes or something else, because we don't know how they work internally, and they very well could be AI-driven with community guidelines in the prompt or something. Or they could be generic off-the-shelf recommender algorithms. Or something totally different. This bit TikTok in Anderson v. TikTok, where the third circuit court ruled that TikTok's "for you" feed was first-party expression and therefore not shielded by section 230, which is itself a massively misunderstood law of it's own.
Literally the only thing I am trying to illustrate is that "ban all the algorithmic feeds" is not as easy as you suggest, and the definitive research proving that they are harmful has yet to actually be found when meta-analysis is conducted[0][1]. The (far more) harmful thing is these platforms extremely lax moderation. Granted, moderation is impossible to truly do competently at scale, but still.
[0]: https://www.techdirt.com/2023/12/18/yet-another-massive-stud... (this one links to 6 other studies)
[1]: https://www.techdirt.com/2026/01/21/two-major-studies-125000...