How Content Ranking Works
Last updated: April 2026
Ekta ranks content to surface accurate, well-sourced, and transparent discourse. This page explains the main parameters that influence content visibility on the platform, as required by the EU Digital Services Act (Article 27).
Our Ranking Philosophy
Ekta optimizes for accuracy and accountability, not engagement. Content is never ranked by how many clicks or reactions it generates alone. Instead, ranking reflects editorial quality and author track record.
What We Consider
Content visibility on Ekta is influenced by several categories of signals:
Quality Signals
Articles undergo AI-assisted review before publication. This review assesses factual accuracy, source quality, transparency of claims, and clarity of writing. Higher-quality articles are more likely to be surfaced to readers.
Author Consistency
Authors who consistently publish accurate, well-sourced content build a track record that influences how their future contributions are ranked. This track record reflects publishing history and correction behavior — authors who self-correct errors are rewarded, not penalized.
Recency
Recent content is weighted more heavily than older content. This ensures feeds stay current while still allowing high-quality older content to remain discoverable.
Community Engagement
Ekta uses substantive reactions (Agree, Disagree, Insightful, Needs Source) rather than vanity metrics (likes, shares). Engagement quality matters: a thoughtful “Insightful” reaction carries more weight than a simple agreement. Requests for sources act as a quality check, not a positive signal.
Content Domain
Articles in high-stakes domains (politics, health, finance) are held to stricter quality standards than lifestyle or cultural content. The ranking system applies proportional scrutiny based on the potential impact of inaccurate information.
What We Do NOT Use
- Time spent viewing (no attention tracking)
- Clickthrough rate or click-bait signals
- Advertising relevance or sponsored placement
- Demographic targeting or behavioral profiling
- Social graph manipulation (follower counts do not influence ranking)
Personalization
Ekta's “Following” feed shows content from authors you follow, in chronological order. The “For You” feed blends content from authors you follow with quality-gated discovery of content from other authors. The “Trending” feed shows the same content to all users, ranked by engagement quality and recency. None of these feeds use behavioral profiling or personal data beyond your explicit follow choices.
Corrections and Transparency
When published content is corrected — whether by the author, platform review, or AI detection — the correction is publicly visible on the article. Correction history is part of the platform's commitment to accountability. Corrected content is not hidden; it remains accessible with its correction context.
Your Controls
You can influence your experience by:
- Choosing which authors to follow
- Switching between Following, For You, and Trending feeds
- Using substantive reactions to signal content quality
- Blocking or muting users whose content you do not want to see
See the Transparency Report for aggregate platform statistics.
Questions
Contact transparency@ekta.digital.