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A multi-week study involving users from platforms like Bluesky yielded several critical insights:

Always include a truthful description of your study's limitations, as these often lead to new research avenues. A multi-week study involving users from platforms like

Organizes the final feed in a procedurally transparent way. 3. Key Findings & User Study Key Findings & User Study Modern social media

Modern social media feeds typically use engagement-based predictive models to maximize user time on platforms. This often leads to a misalignment between what users actually want to consume and what the algorithm shows them. was developed to shift this paradigm from engagement-based optimization to intent-based curation . 2. System Architecture A multi-week study involving users from platforms like

Tools like PaperBanana can help automate the creation of high-quality academic illustrations for your methodology sections. AI responses may include mistakes. Learn more

BONSAI operates as a platform-agnostic framework that allows users to express their feed preferences in natural language. It is structured into four primary modules: Interprets the user's natural language intent.

Clearly state what problem you are solving and why it is urgent. For BONSAI, the "urgency" is the negative impact of engagement-driven algorithms on mental health and information quality.