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DRM Watch : DRM Technologies: Attributor Fingerprints Text for the Associated Press

Attributor Fingerprints Text for the Associated Press
June 7, 2007
By Bill Rosenblatt

Attributor Corp., a Silicon Valley based startup, announced an agreement with the Associated Press to monitor the Web for instances of the AP's content and report on suspected misuses.  Attributor's technology is in pre-release mode.  The AP is the largest newsgathering organization in the world.

Attributor's technology works for text content now with audio and image support to be added in the near future.  Similarly to an audio fingerprinting solution like Audible Magic, Attributor computes numbers that serve as "fingerprints" for content and searches the Web for matches.  But Attributor also considers the context for content, such as (we presume) adjacent copyright attributions or presence on certain websites.  It uses rules describing that context to drive pattern matching, which helps it determine whether content is being used according to a pre-existing licensing agreement, being used to help sell advertising, being excerpted and thus potentially covered under fair use law, or just being misused. 

In the AP's case, it can benefit from knowing where and how its many licensees are using its massive daily output of content, as well as where its content is being used inappropriately.  The AP is not a publisher per se but a "wholesaler" of large amounts of news content on a daily basis to newspapers, magazines, and broadcasters, many of which maintain websites with news content that could legitimately include AP content.  If the AP's experiment with Attributor is successful, it ought to be very easy to adapt it for other news publishers, such as the AP's owners and affiliates.

In addition, Attributor's rules-based technology could be useful as a means of monitoring compliance with Creative Commons licensing terms, such as those requiring attribution.  Individuals and other small content owners could also use the technology to monitor their content online and possibly get paid for it without relying on encryption or on users identifying it through services like del.icio.us and Digg.  Attributor's literature (not to mention the company's name) suggests that it intends to support both scenarios, not just deals with major content providers.

Attributor has been in stealth mode until it closed a VC funding round late last year.  Now that it has a marquee reference customer, the company should be well worth watching as it makes it way towards formal launch. 

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