Beyond Chronology: Rethinking Algorithmic Choice in Social Media Feeds
Published on September 1, 2026
Federal officials are currently evaluating whether Australians should have the option to opt into algorithmically curated social media feeds, a proposal championed by activist Chanel Contos and her organization Teach Us Consent. While shifting from personalized algorithms to chronological timelines offers users greater agency, it is not a complete solution; the future of digital curation lies in offering diverse, user-selected ranking mechanisms rather than simply removing them.
Key Takeaways
- Chronological Feeds Are Still Algorithmic: Default chronological ordering relies on a basic algorithm that sorts content by time, meaning removing "personalization" does not remove algorithmic influence.
- Engagement vs. Social Value: Current recommendation systems prioritize maximizing clicks and shares, often promoting sensationalism, outrage, and misinformation because these elements capture attention effectively.
- Agency Is Essential: Users deserve meaningful control over the systems that organize their attention, but chronological feeds alone cannot solve issues like rage bait or misogyny if those topics are already present in followed accounts.
- The European Precedent: The EU’s Digital Services Act mandates that large platforms offer users a non-profiled feed option, establishing a regulatory baseline for user choice.
- Decentralized Alternatives Exist: Platforms like Mastodon and Bluesky demonstrate that alternative ranking models are viable, with Bluesky offering an "open marketplace of feeds" where users can choose from thousands of custom curation methods.
- Future Regulatory Goals: Australian policy should move beyond simple chronological defaults to encourage open infrastructure that resists corporate capture and allows for diverse community-driven content organization.
The Limitations of Chronological Ordering
Early social media platforms operated on relatively simple logic: users followed accounts, and those posts appeared in reverse chronological order. Over time, driven by commercial pressures, platforms transitioned to sophisticated, proprietary recommendation algorithms designed to predict user behavior. Today, feeds often include content from accounts the user has never interacted with, using individual and collective data to maximize engagement metrics like scrolling and sharing.
While these systems facilitate discovery, optimizing for engagement is a poor substitute for optimizing for social value. Content that provokes anger, fear, or outrage performs exceptionally well in attention economies. Consequently, recommendation algorithms can repeatedly expose users to misogynistic, extremist, or conspiratorial material. Making personalized recommendations opt-in restores some user agency, but it does not eliminate the underlying power dynamics of platform design.
Chronological feeds improve legibility by allowing users to understand why content appears in their timeline. However, they do not recreate the organic curation that existed when social networks acted as collective filters for interesting content. Furthermore, a feed is only one component of a larger information ecosystem involving search, advertising, trending topics, and moderation. Even a strict chronological feed can surface misinformation or hate speech if those materials are circulating within the accounts a user follows. Therefore, chronology alone cannot serve as a silver bullet for online harm.
Exploring Algorithmic Choice and Decentralized Models
Regulatory frameworks are beginning to address these issues. The European Union’s Digital Services Act requires major social media platforms to provide users with the option of a feed not based on algorithmic profiling. However, innovative experiments in content curation are occurring outside traditional regulatory mandates, particularly within decentralized networks.
Mastodon emphasizes chronological timelines derived from deliberately followed accounts. While this approach reduces reliance on corporate algorithms, it presents usability challenges; new users may find empty feeds if they do not know whom to follow, and existing users often struggle to manage the volume of content as their network grows.
Bluesky offers a more flexible model by combining a chronological following feed with an "open marketplace of feeds." This system allows users to select from thousands of custom feeds created by individuals and organizations. This approach introduces the concept of algorithmic choice, where users can select different ranking mechanisms for different purposes. For instance: 1. A news organization could provide a feed prioritizing verified reporting. 2. A university might create a feed highlighting academic research. 3. Communities could build feeds around specific shared interests.
This diversity of options suggests that the binary choice between "the algorithm" and "no algorithm" is outdated. Instead, users should be able to choose how their information is organized. Mastodon and Bluesky are conducting live experiments in separating social networking from content ranking mechanisms. While neither platform provides a finished regulatory blueprint, they demonstrate that decentralized ecosystems can support genuine community curation and resistance to corporate control.
Conclusion
The debate over social media feeds in Australia should extend beyond the simple opt-in for chronological timelines. Allowing users to disable personalized recommendations is a necessary first step toward restoring agency. However, policymakers must also address why a small number of technology companies hold such disproportionate control over the systems that organize public attention.
Rather than treating chronological ordering as the final solution, regulators should encourage the development of open infrastructure that supports diverse, community-driven content organization. This approach would resist future corporate capture and provide users with meaningful choices about how they engage with digital media. By fostering an environment where multiple ranking mechanisms can coexist, society can move toward a more balanced and user-centric social media landscape.