How Aevum News uses algorithms to curate, personalize, and distribute news—built on accountability, editorial independence, and user control.
At Aevum News, we believe that trust in journalism requires radical transparency. While our editorial team operates independently of algorithmic influence, we leverage data-driven systems to help readers discover relevant, high-quality reporting. This document outlines exactly how those systems function, what data they process, and how you maintain control over your experience.
Algorithms at Aevum News are strictly used for distribution and discovery. They never influence editorial decisions, story placement, or reporting priorities. All content ranking is secondary to our newsroom's journalistic judgment.
Our recommendation engine surfaces articles, newsletters, and multimedia content based on a combination of editorial curation and user preferences. The system operates through three primary mechanisms:
The algorithm explicitly deprioritizes engagement-optimized content such as clickbait, polarizing rhetoric, or unverified viral material. We weight source credibility, publication timestamp, and editorial tags more heavily than raw click-through rates.
We collect only the data necessary to improve content discovery and maintain platform integrity. All processing is performed in compliance with GDPR, CCPA, and applicable digital transparency regulations.
Article views, reading duration, search queries, device type, approximate geographic region (city-level), and subscription status.
Browser history outside Aevum News, financial data, biometric identifiers, precise GPS coordinates, or private communications.
Behavioral data is anonymized after 14 months. Account data is retained until deletion request or 36 months of inactivity.
Aevum News supports free access through a transparent, non-intrusive advertising model. Our ad algorithms operate under strict guidelines:
You maintain full control over how algorithms shape your Aevum News experience. All controls are accessible via your account dashboard or the site footer.
Pause personalization • View data usage summary • Export browsing history • Clear recommendation cache • Opt out of ad targeting • Disable analytics tracking
We partner with the following technology providers to power recommendation, analytics, and advertising systems:
Our algorithmic systems undergo annual third-party audits by Veritas Digital Ethics Lab. Full audit reports are published on our Transparency Hub and are open for public review.
We maintain a public log of all modifications to this policy. Changes are reviewed by our Legal & Ethics Committee before publication.
We welcome questions, feedback, or formal data access requests. Our Transparency Desk operates independently from editorial and engineering teams.
All requests are processed within 30 days in accordance with applicable privacy regulations. For urgent editorial or algorithmic concerns, please specify "ALGORITHM REVIEW" in your subject line.