DAVOS 2026 MEDIA ANALYSIS
Data-driven analysis of global media coverage during WEF 2026
News stories that quoted them. For companies, this means stories where at least one executive was quoted. For people, stories where they personally were quoted.
How many times they were quoted. One story can have multiple quotes from the same person or company.
How many different news outlets quoted them. More sources = wider reach.
Whether the coverage was positive, negative, or neutral about them.
Articles show reach—how many stories featured their voice.
Quotes show volume—how much they were actually quoted.
Sources show breadth—how widely their coverage spread.
Together, these paint a picture of who dominated the conversation at Davos.
Media coverage captured via Omniscan from 1,346 sources. Period: Jan 17-24, 2026
| TIER 1 NEWS | 9,730 |
| TIER 1 TRADE | 186 |
| TIER 2 | 20,104 |
Omniscan entity recognition extracted 319,131 quotes, attributed to specific people. Measures actual voice and influence, not just mentions.
Based on quote counts for people, executive quotes for companies. Measures share of voice—attention received—not sentiment or quality.
LLM-based analysis classified 56,258 person-article pairs and 6,164 company-article pairs as Positive, Neutral, or Negative.
| POSITIVE | 22.4% |
| NEUTRAL | 64.1% |
| NEGATIVE | 12.6% |
• Social media not included
• Sentiment analysis has context limits
• Quote attribution may miss indirect refs
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Omniscan is the expert data partner for media intelligence. Their platform captures and analyzes global media coverage at scale, enabling insights that drive strategy.
The 30,020 articles and 319,131 quotes powering this analysis were captured via their platform.
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