Get Started

At a Glance: State Street MediaStats and Media Linkages

State Street scours 100,000+ media sources to estimate the price rates of U.S. firms and uncover key intercompany relationships.

Quick Links


Content Category: Sentiment

Open:FactSet Page: Click here

Setup a Demo and Access  

State Street MediaStats provides differentiated insight into a company’s media coverage and its potential impact on future price fluctuations. Using local and international news, official company reports, and more than 100,000 other sources, MediaStats develops metrics that are critical for gauging media coverage intensity, sentiment, and disagreement of opinion. The indicators cover over 3,000 U.S. companies and are adjusted to eliminate source and investor bias. All are built specifically for long-term investing rather than high-frequency trading.  

Media Linkages captures the size, strength, and significance of dynamic intercompany relationships based on co-mentions in the media. The dataset also provides a daily snapshot of S&P 500 constituents that are included in the same news articles. Weighting each company by relevance, Media Linkages also exposes evolving company relationships faster than traditional industry groups.   

Data Overview

Asset Class: Public Companies 

Data Frequency: Event-driven

Delivery Frequency: Daily

History: Data available back to 2011 


Data Methodology

State Street uses tens of thousands of sources to extract information reflective of the media sentiment, intensity of coverage, and disagreement of opinion for over 3,000 U.S. companies. Each news article is classified by type, such as local general news, local business news, and international news. Trained machine-learning algorithms then analyze them to account for potential bias associated with location and size of the publication. 

For example, positive bias may exist between Starbucks and a Seattle Times reporter who frequently covers and praises one of the company’s local coffee shops. The bias adjustment accounts for the fact that a positive news article from the Seattle Times should be analyzed differently than a positive article from an international news publication rarely covering Starbucks.

MediaStats includes daily sentiment, intensity, and disagreement indicators over five periods (i.e., 1-day, 7-day, 14-day, 21-day, and 28-day) that are calculated using a rolling exponential moving average. Each indicator is standardized daily for the cross section of firms to produce firm-level Z-scores. Sentiment measures the tone (i.e., positivity or negativity) of the media coverage. Intensity reflects the volume of media coverage compared to expectations. Dispersion measures the disagreement of opinion among sources. 

Media Linkages provides daily links between companies mentioned in the same article. This allows users to understand company networks and rely on more than just industry and supply chain information. The Linkages dataset also includes a measure of relevance for each company expressed as percentage weight. 

Use Cases

Company-Level Sentiment Analysis 

  • Leverage MediaStats’s sentiment, intensity, and dispersion indicators to uncover new opportunities and reduce risks revealed in a company’s media coverage. These indicators supply stable trading signals for investors over longer time horizons and are corrected for consistent source-specific bias.
    • Analyze a company’s positive or negative media sentiment to anticipate market return.
    • Use the intensity score as a proxy for how familiar investors are with a given asset. A low intensity score suggests an asset may be underinvested. Since assets scored as high intensity typically underperform, they may be overvalued.
    • Incorporate the dispersion indicator when assessing future return potential for large and small cap companies. This captures disagreement across media sources and is motivated by the traditional risk-return trade off that is well established in academic research.
      • High dispersion for large cap companies suggests that they may be riskier, and therefore demand a high expected return.
      • Small cap companies face short sale constraints that may delay the incorporation of negative views and overweight views of optimist investors. This can cause small cap companies with high levels of disagreement to be overpriced and underperform going forward.

Relationship Analysis 

  • Identify relationships between companies through co-mentions in news articles. State Street Media Linkages enables investors to glean insights into forward-looking business relationships that may impact a company’s strategic development and stock performance. This provides an alternative view of company associations from traditional industry groups that change infrequently.

The details provided above are as of March 2020.

If you have any questions or would like to learn more about any of the content mentioned above, please contact us at

Please visit the product page on the Open:FactSet Marketplace for more information: State Street MediaStats and Media Linkages.

Data Exploration Webcast