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Important Notice

AI Disclaimer

How Arifa uses artificial intelligence — and what you should know.

What AI does on Arifa

Arifa uses large language models (LLMs) running on Cloudflare Workers AI to process news articles from 22+ publicly available sources. Specifically, AI is used to:

  • Summarize articles — condensing long articles into key points
  • Classify tone — assigning an approximate positive, negative, neutral, or mixed label based on article language (not editorial judgment or financial sentiment)
  • Extract entities — identifying people, organizations, and locations
  • Cluster stories — grouping related articles across sources
  • Detect signals — identifying emerging trends and developments
  • Generate briefings — creating daily morning and evening news digests
  • Answer questions — the AI chat searches articles and synthesizes answers

AI content may contain inaccuracies

AI-generated summaries, analyses, and chat responses are not guaranteed to be accurate. Large language models can:

  • Misinterpret the meaning or context of an article
  • Omit important details or nuances
  • Incorrectly attribute statements to the wrong person or organization
  • Generate plausible-sounding but incorrect information ("hallucinations")
  • Reflect biases present in the source articles or training data
  • Misclassify article tone — labeling a neutral report as "positive" or "negative" based on word choice rather than actual content meaning

Always verify important information by reading the original source article. Every summary and chat response on Arifa links back to its source(s).

Tone classification limitations

Every article on Arifa is assigned an AI-generated tone label: positive, negative, neutral, or mixed. These labels are automated approximations, not editorial judgments. Important things to understand:

  • Tone classification is based on the language used in the article, not the significance or implications of the reported events
  • A "positive" label means the AI detected positive language — it does not mean the news itself is objectively good or favorable
  • Labels like "Positive tone" or "Negative tone" in the app are shorthand descriptions of the AI's tone classification, not Arifa's opinion on the subject matter
  • The AI may misclassify tone, especially with sarcasm, irony, complex political context, or culturally specific language
  • Tone labels do not represent financial sentiment, market analysis, or investment signals — they are purely about article language tone
  • Aggregated tone trends (e.g., "60% positive today") reflect article language patterns, not the actual state of the world

Do not use tone labels to make financial, investment, legal, or personal decisions. Always read the original article for full context.

Not professional advice

Arifa is a news aggregation and intelligence tool. Content on this platform — whether human-written or AI-generated — does not constitute:

  • Financial, investment, or trading advice
  • Legal advice or legal opinion
  • Medical or health advice
  • Professional journalism or editorial content
  • Government or policy recommendations

Always consult qualified professionals for decisions that affect your finances, health, legal standing, or business.

Beta status

Arifa is currently in public beta. This means:

  • Features may change, break, or be removed without notice
  • AI model accuracy is continuously being improved
  • Data may be incomplete as we refine our data collection
  • Service availability is not guaranteed (no SLA)

We welcome feedback to help improve accuracy. If you spot an error, use the feedback form or email support@arifa.today.

Source attribution

Arifa aggregates publicly available news from 22 sources including Nation Media, The Standard, The Star, Business Daily, Capital FM, and others. All content is:

  • Attributed to the original publisher with a direct link
  • Summarized by AI — we do not republish full articles
  • Subject to the original publisher's terms of service

If you represent a publisher and have concerns about how your content is used, please visit our content removal request page.

Last updated: May 2026

Questions? Email support@arifa.today