Beyond Chronology: Reimagining Control Over Social Media Feeds
Published on September 3, 2026
The Australian government is considering legislation that would allow users to opt out of algorithmic curation, defaulting instead to chronological feeds. While this restores some user agency, true control may lie in offering a diverse marketplace of ranking algorithms rather than a single alternative.
Key Takeaways
- Opt-In Algorithms: A proposed Australian policy would make personalized recommendation algorithms optional, defaulting to chronological feeds based on followed accounts.
- Chronology is Not Neutral: Chronological feeds still use a simple algorithm (time-based sorting) and do not eliminate the influence of ranking systems.
- Engagement vs. Value: Current algorithms prioritize engagement metrics like clicks and scrolling, which often amplifies sensationalism, outrage, and misinformation.
- EU Precedent: The European Union’s Digital Services Act already requires large platforms to offer users a feed option not based on algorithmic profiling.
- Alternative Models: Platforms like Mastodon and Bluesky are experimenting with chronological timelines and "open marketplaces" of user-created feeds, respectively.
- Infrastructure Control: The debate should shift from simply turning off algorithms to addressing the corporate control over the infrastructure that organizes public attention.
The Flaws of Engagement-Optimized Algorithms
Early social media feeds were straightforward: users followed accounts, and posts appeared in reverse chronological order. Over time, driven by commercial imperatives, platforms shifted toward sophisticated, opaque recommendation algorithms. Today, much of what appears in feeds comes from accounts users have never encountered before. These systems use individual and collective data to predict content that maximizes clicks, shares, and scroll duration.
While this has enabled some discovery, maximizing engagement is a poor substitute for maximizing social value. In an attention economy, content designed to provoke anger, outrage, or fear performs exceptionally well. Sensational claims, interpersonal conflict, and deliberately provocative material are highly effective at capturing attention. This creates serious risks when algorithms repeatedly expose users to misogynistic, extremist, or conspiratorial content.
Making personalized recommendations opt-in is a worthwhile intervention because it restores agency. Users should have meaningful choices about the systems organizing their attention. However, chronological feeds are not a silver bullet for online harm.
Why Chronology Alone Fails
Before automated recommendations dominated, discovery was a social process. Friends and networks acted as collective filters, curating content for one another. Services like Delicious and Digg allowed users to curate and share interesting content independently of platform algorithms. While there is value in recovering this legibility—understanding why something appeared in your feed—chronology cannot recreate that environment.
A feed is the endpoint of a larger information system involving search, advertising, trending topics, influencers, reposting, and moderation. Even a strictly chronological feed can contain rage bait, misinformation, and misogyny if those materials are circulating through the accounts a user follows. This distinction is crucial for regulation: removing algorithmic curation does not remove harmful content if the underlying network dynamics remain unchanged.
Emerging Models of Feed Control
Users in some jurisdictions already have more control over their feeds. The European Union’s Digital Services Act requires large social media platforms to provide an option for a feed not based on algorithmic profiling. However, interesting experiments are occurring outside dominant platforms.
Mastodon generally emphasizes chronological timelines containing posts from deliberately followed accounts. This approach has challenges: new users may find the network empty if they do not know who to follow, and existing users struggle to keep up with the volume of content as their following list grows.
Bluesky offers a different model. Alongside a chronological following feed, users can select from thousands of custom feeds created by other people and organizations. This suggests a third option beyond "the algorithm" or "no algorithm": algorithmic choice. Instead of a single optimization system determined by Meta, TikTok, or X, users could choose between different ways of organizing information.
For example: 1. A news organization might maintain a feed prioritizing verified reporting. 2. A university could create one highlighting research. 3. Communities could build feeds around specific shared interests. 4. Users could choose a simple chronological feed or multiple feeds for different purposes.
Bluesky describes this as an "open marketplace of feeds," while Mastodon is experimenting with complementary approaches to discovery and community curation. Neither provides a finished regulatory blueprint, but together they demonstrate the potential of separating the social network from the mechanism used to rank its content.
Conclusion
The Australian debate offers an opportunity to move beyond treating chronological ordering as the final solution. Giving people the ability to turn off personalized recommendation systems is a sensible start. However, we must also question why a handful of technology companies hold such extraordinary control over the systems that organize our attention.
Rather than accepting chronological feeds as the end point, regulators and creators should encourage alternative open infrastructure that resists future corporate capture and embodies genuine choice for communities. This approach supports not just user agency, but a healthier digital ecosystem where content organization is diverse, transparent, and adaptable to community needs.