SAN is hiring a Media, Bias and Algorithms Reporter to investigate how information is built, distributed, distorted and amplified in the digital age – and to explain it with clarity, not cynicism. This is not a traditional media‑industry beat. You won’t often cover newsroom shuffles or corporate M&A. You’ll probe the deeper machinery of the modern information environment: the recommendation engines behind what people see, the structural incentives that create bias (intentional or not), the platforms that mediate nearly every public conversation, and the invisible feedback loops that shape how society understands current events. People increasingly experience the world through systems they don’t control and can barely see. Audiences know bias exists, but most have no way of understanding how it works or why narratives diverge so dramatically across outlets and platforms. Your reporting will give them that power. You’ll decode competing narratives, reveal blind spots in media framing, contextualize how algorithms elevate or suppress certain stories, and help audiences understand why people can see the same event as two different realities. This beat taps directly into one of the country’s most widespread frustrations: navigating a chaotic information landscape where everyone senses distortion, but few understand its mechanics. It is central to SAN’s mission and a clear opportunity for differentiation, filling a gap the broader media rarely covers with depth or transparency. Your work will provide clarity where there is confusion, depth where there is noise, and context where there is polarization. If you want to help audiences see the whole board – not just the headlines – this is the beat for you.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed