LEAST BIASED
These sources have minimal bias and use very few loaded words (wording that attempts to influence an audience by appeals to emotion or stereotypes). The reporting is factual and usually sourced. These are the most credible media sources. See all Least Biased sources.
- Overall, we rate Storyful as Least Biased due to its commercially driven content selection rather than ideological motivations. We rate its factual reporting as Mixed due to its reliance on AI-driven verification without transparent methodology, making it difficult to assess the accuracy and reliability of its findings.
Detailed Report
Bias Rating: LEAST BIASED (1.5)
Factual Reporting: MIXED (4.6)
Country: USA
MBFC’s Country Freedom Rating: MOSTLY FREE
Media Type: Website
Traffic/Popularity: Medium Traffic
MBFC Credibility Rating: MEDIUM CREDIBILITY
History
Storyful is a news and intelligence agency that tracks viral content, misinformation, and social media trends. Founded in 2010 in Dublin, Ireland, it was acquired by News Corp in 2013. Storyful monitors, verifies, and licenses user-generated content (UGC) for media outlets, businesses, and governments. It uses open-source intelligence (OSINT) and AI tools to analyze online narratives but does not produce original journalism. Instead, it provides trend reports, content verification, and strategic intelligence based on social media activity. Storyful is headquartered in Dublin, Ireland, but as a subsidiary of News Corp, it maintains operational ties to New York.
Read our profile on the United States government and media.
Funded by / Ownership
Storyful is owned by News Corp, a media conglomerate that owns Fox News, The Wall Street Journal, and The New York Post. Instead of relying on ads, Storyful receives corporate funding and generates revenue through video licensing, acquiring rights to user-generated content, and selling it to media entities. For example, it licensed the video “Supporters of Capitol Rioters ‘Overjoyed’ by Trump’s Pardons” for media use.
Analysis / Bias
Storyful uses a combination of open-source intelligence (OSINT), artificial intelligence (AI), and traditional verification techniques to assess the authenticity of digital content. Rather than conducting independent reporting, it aggregates and contextualizes social media content to track online narratives and emerging trends. In “Generative AI Presents Opportunities to Boost Online Verification,” Storyful outlines its use of AI-driven tools such as Google Cloud Vision and Amazon Rekognition for image and video analysis, GPT-style models for location discovery, and Web3-based verification.
Additionally, the company claims to use proprietary AI-powered tools including ANNI (narrative clustering), Cosmos (network graphing), and Discover (sentiment and toxicity analysis) to analyze social media content. However, it does not provide detailed methodologies or external validation for these tools, making it difficult to assess their accuracy and reliability.
Storyful’s verification approach is further detailed in the article “Verification 101: Storyful’s Advice for Checking Out Material from Social Media,” which outlines their process of conducting a “digital footprint analysis.” This involves examining the account’s history, linked social profiles, and previous postings to establish authenticity. The company also emphasizes cross-referencing content with external data sources to confirm location and date information.
Storyful’s content selection is primarily driven by commercial demand rather than ideological alignment. Its video licensing model includes both positive and negative clips of political figures, indicating a focus on profitability over editorial influence. While potential bias could exist in content framing or selection, Storyful functions as an aggregator rather than a traditional news outlet, limiting direct political slant.
Failed Fact Checks
- None in the Last 5 years
Overall, we rate Storyful as Least Biased due to its commercially driven content selection rather than ideological motivations. We rate its factual reporting as Mixed due to its reliance on AI-driven verification without transparent methodology, making it difficult to assess the accuracy and reliability of its findings. (M. Huitsing 02/22/2025)
Source: https://storyful.com/
Last Updated on February 22, 2025 by Media Bias Fact Check
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