?? We Can—and Must—Have Better Algorithms ?? For too long, the dominant narrative has been that algorithmic feeds are inevitably optimized for engagement at the expense of truth, mental well-being, and social cohesion. But a new report from the Knight-Georgetown Institute, Better Feeds: Algorithms That Put People First, makes it clear: platforms could offer far better feeds—ones that serve users' interests without the distortions of engagement-driven design. The report is written by leading technologists and researchers in algorithmic design and social cohesion—including?Jonathan Stray,?Jeff Allen,?Ravi Iyer,?Julia Kamin,?Leif Sigerson?and?Aviv Ovadya, and highlights a fundamental truth: algorithmic choices are policy choices. Platforms don’t have to push outrage and misinformation; they choose to because it maximizes profit. But what if we built systems designed to prioritize relevance, reliability, and user agency instead? Our latest post explores how we can have better algorithms—ones that foster civic trust, informed communities, and social cohesion. The solutions are within reach. What we need now is the will to implement them. https://lnkd.in/geq2ZPqd
