Christoph Mueller-Bloch, Raffaele Ciriello
6 min
Modern social media platforms are central to public discourse, yet their business models—which prioritize user engagement to maximize advertising revenue—frequently amplify misinformation, polarization, and mental health issues. Current regulatory frameworks, such as the U.S. Section 230 and the EU Digital Services Act, largely delegate content moderation to the corporations themselves. This creates a structural conflict of interest: because misinformation is highly engaging, platforms have a financial incentive to promote it, even when they are aware of the resulting societal harm.
The authors argue that social media should be treated as a sovereign public utility, similar to water, electricity, or public broadcasting. This model shifts the focus from corporate profit to the public good by implementing three core pillars:
This framework challenges the assumption that private corporations are the only viable entities capable of managing digital spaces. By separating content removal from content ranking, the model seeks to protect free expression while curbing the negative externalities of algorithmic amplification. The authors suggest that public platforms could coexist with private ones, providing a democratic alternative that forces the entire ecosystem to be more accountable to citizens rather than shareholders.
Social media platforms connect billions, but their business models often amplify societal harm through misinformation, which is linked to polarization, violence, and declining mental health. Current governance frameworks, such as the U.S. Section 230 and the EU Digital Services Act, delegate content moderation to corporations. This creates structural conflicts of interest because misinformation drives engagement, and engagement drives profit. We propose a public utility model for social media governance that prioritizes the public good over commercial incentives. Integrating legislated content removal with democratic content moderation, the model protects free expression while mitigating societal harms. It frames social media as sovereign digital infrastructure governed through democratic oversight, transparent algorithms, and institutional safeguards.
Alex: So removal for clear law-breakers, but voting to dial down the grey-area stuff without deleting it? Like, keep free speech but make junk less visible?
Sam: Precisely. Illegal content—things like true threats, child abuse material, or scams—gets taken down only after court orders, respecting legal lines like the U.S. First Amendment. For legal but harmful misinformation, democratic ranking uses upvotes and downvotes, similar to how Reddit sorts posts by community input, to favor connections with friends or useful topics over rage-bait. This curbs spread without censorship, drawing on group wisdom instead of company algorithms tuned for clicks.
Alex: I mean, that sounds logical—like public TV stations where quality matters more than shock value. But how do you stop it from turning into a government echo chamber?
Sam: A fair worry, and the paper addresses it with checks from proven models. Take Germany's public broadcasting: an independent board, picked from unions, churches, and other groups—not politicians—sets rules and funding to keep things balanced and pluralistic. Their courts have enforced this independence repeatedly, blocking partisan meddling.
Alex: Interesting—non-partisan boards as a firewall. Does that mean social media could mix public and private options?
Sam: Yes, coexistence makes sense, like private TV channels alongside the BBC. Private platforms would face regulators—like the UK's Ofcom—checking how their algorithms hand out attention and measure harms. A public option adds a neutral space, funded steadily through fees or donations, prioritizing civil talk. Decentralized IDs—privacy-friendly digital passes that work across sites without a central boss—could secure votes against fakes. Open-source algorithms let anyone audit for fairness, building trust.
Alex: So the profit chase creates these externalities, and the utility model realigns it toward public needs. But during elections, doesn't viral lies still explode?
Sam: Elections highlight the issue: algorithms boost whatever spreads fast, polarizing voters. The model counters by de-emphasizing engagement; rankings pull from social ties and interests first, sidelining extremes through aggregated votes. Extremes stay findable but don't dominate feeds.
Alex: Aggregated votes—does that mean majority rules, potentially drowning out minorities?
Sam: It prioritizes broad consensus to aid cohesion, but keeps an open marketplace—users can seek niche views. An algorithm marketplace, like Bluesky's user-chosen feeds, could offer options, with a public default focused on accuracy and links. This balances groups without deep echo chambers, as the paper weighs.
Alex: Oh—so it's not one-size-fits-all ranking, but tunable with safeguards. That ties back to treating it like infrastructure: reliable for discourse.
Sam: Right. Social media's role as our digital town square demands this rethink—current corporate discretion perpetuates the engagement trap, but utility governance, with court bounds and democratic tools, offers a structured path. Countries like Canada, the UK, and Australia show non-partisan regulators can work for online safety.
Alex: Makes you see why the paper calls it sovereign digital infrastructure... accountable to citizens, not shareholders.
Sam: Exactly—and that's the foundation for addressing these challenges head-on.
Alex: Thanks for listening to ResearchPod.