Media, Bias and Algorithms Reporter
Listed on 2026-06-12
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IT/Tech
Digital Marketing, Data Analyst
About Us: Straight Arrow News is dedicated to delivering unbiased, comprehensive news coverage that cuts through the noise of national discourse. We prize stories that make the news feel real and relevant to our audiences’ daily lives. Check us out at and on the SAN mobile app.
About this role:
SAN is hiring a remote 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.
Responsibilities:
- Explain the information ecosystem. Report how algorithms, platforms, search engines, news feeds, creators and publishers shape public perception, often in ways even they don’t fully understand.
- Decode bias and information flow. Track where narratives originate, why they spread, who benefits and what gets lost along the way.
- Investigate system design. Analyze how recommendation systems, ranking mechanisms, moderation policies and optimization goals influence what information rises to the top.
- Cover daily news with clarity and urgency. Produce quick‑turn analyses and explainers when narratives are forming; identify patterns early and contextualize them for a general audience.
- Create human‑centered stories. Connect systemic dynamics to real people – voters, parents, creators and communities – showing tangible impacts and tradeoffs.
- Demystify complexity. Make technical, structural and abstract concepts understandable without oversimplifying using plain language, sharp framing and transparent sourcing.
- Collaborate across formats. Work with visual, audio and video teams to turn reporting into compelling explainers, short documentaries, interactives and social‑native pieces.
- Use rigorous, transparent methods. Where appropriate, design lightweight tests, audits or replicable analyses; publish methodology boxes that explain what you did and what the limits are.
- Build a diverse source network. Develop relationships across platforms, search, trust & safety, recommendation, UX, policy, academia, creators and advocacy groups to stay ahead of emerging dynamics.
Qualifications:
- 7+ years of reporting experience spanning technology, media, platforms, digital culture, politics or information systems.
- A reporter’s instinct for pattern‑spotting, source‑building and asking questions that get to the structural “why,” not just the surface “what.”
- Working understanding of how systems like Tik Tok, You Tube, Google Search, Meta’s feeds, and X/Twitter surface and prioritize content (you don’t need to be an engineer, but you should understand the mechanics and incentives).
- Demonstrated ability to translate complex or…
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