Misinformation is on the rise — amplified by AI and spreading faster than ever. Fake news sites are increasingly used to target people, companies, and industries with false or biased stories.
The Misinformation Hit List is our weekly snapshot of the top entities attacked by known fake news sources — giving you early warning signals of who’s in the crosshairs.
Using our new Fake News Trust Tag, data segmentation, and entity sentiment analysis, we track the names making headlines for the wrong reasons — across politics, business, and sports.
Each week, we analyze articles flagged as fake news using our new trust.category:fake_news tag — powered by trusted fact-checking sources. We combine that with two of our most powerful features:
✅ Data Segmentation — instantly surface the top organizations, people, and authors driving the conversation.
✅ Entity Sentiment Analysis — Uncover not just who is mentioned, but the sentiment behind it.
Every week, we will run this analysis across various categories, from politics to entertainment, from business and economy to sports.
This week, we picked the following categories:
Timeframe: All content analyzed was crawled in the past seven days to ensure fresh, relevant insights.
Understanding who’s being targeted — and how — helps you:
✔ Monitor adverse media signals and potential business risks
✔ Cross-check misinformation against credible sources to reduce false positives
✔ Strengthen crisis response and strategic communications
✔ Support clients with transparent, accurate insights
💡 Context is everything: Not all negative coverage signals risk. When the source is flagged as a known fake news outlet, you know it’s misinformation — not fact.
Here are the top five entities most negatively targeted by known fake news sites this week in each category:
| Entity | % of Appearances |
|---|---|
| Donald Trump | 64.9% |
| Vladimir Putin | 5.1% |
| Tim Walz | 4.9% |
| Mark Carney | 4.8% |
| Joe Biden | 4.6% |
| Entity | % of Appearances |
|---|---|
| NYSE | 9.3% |
| NVIDIA | 6.7% |
| 5.6% | |
| Federal Reserve | 5.6% |
| Bragar Eagel & Squire | 4.5% |
| Entity | % of Appearances |
|---|---|
| NCAA | 37.3% |
| NFL | 15.3% |
| Philadelphia Eagles | 8.5% |
| Real Madrid | 8.5% |
| Liverpool | 6.7% |
Each week, The Misinformation Hit List delivers clear, actionable insights into who’s being targeted — helping you stay one step ahead of fake news campaigns.
Use this snapshot to:
✔ Investigate where and how misinformation is spreading
✔ Inform risk assessments and crisis response
✔ Provide value-added context to your clients and stakeholders
Want to know more about our Fake News Trust Tag and Data Segmentation capabilities? Talk to our data experts here.
Stay tuned for next week’s edition as we continue tracking the misinformation landscape — because the best decisions are built on the right data.
Media intelligence companies are challenged with the task of delivering accurate insights from trusted and unique sources. Now, with the rise of misinformation in the news, this competitive industry has become even harder to navigate. The media landscape is being reshaped at an unprecedented pace by AI-generated misinformation. From synthetic news articles and deepfake videos […]
When you rely on accurate financial data to perform market research, competitive intelligence, investment assessment, risk management, fraud detection, misinformation can threaten your product’s integrity. Fake content, from fabricated reports to deepfake videos, directly threatens the integrity of your data, the reliability of your products, and the trust of your end users. While misinformation has […]
Your customers—financial firms, compliance officers, and risk analysts—trust your platform to help them navigate financial regulations, ESG risks, and geopolitical threats. But if misinformation, biased sources, or AI-generated content slip through, they could be making critical decisions based on faulty intelligence. Are you equipping them with credible insights—or exposing them to costly blind spots? The […]
The rise of misinformation, biased reporting, and fake news has made it more difficult for any monitoring solution provider, from media intelligence to risk intelligence platforms, to deliver accurate insights. With 90% of the content available on the internet expected to be produced with the help of AI in 2025, sorting fact from fiction has […]
This is part 2 in an ongoing series. For more information about The Misinformation Hit List, click here. How it works: query and segmentation explained Let’s use the query for the sport category. trust.category:fake_news category:Sport The query, “Trust.category:fake_news” isolates articles from sources known for producing fake news, “category” filters content related to your […]
