Applying MOEs to web Based Activity (AMOEBA)

Award Information
Agency:
Department of Defense
Branch
Air Force
Amount:
$99,974.00
Award Year:
2010
Program:
SBIR
Phase:
Phase I
Contract:
FA8650-10-M-6103
Award Id:
97137
Agency Tracking Number:
F093-033-0611
Solicitation Year:
n/a
Solicitation Topic Code:
AF 09-033
Solicitation Number:
n/a
Small Business Information
625 Mount Auburn Street, Cambridge, MA, 02138
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
115243701
Principal Investigator:
Terry Patten
Principal Scientist
(617) 491-3474
tpatten@cra.com
Business Contact:
Ninos Hanna
Contract Specialist
(617) 491-3474
nhanna@cra.com
Research Institution:
n/a
Abstract
Effectively countering terrorist Web sites requires understanding how those Web sites attempt to influence their target audiences and how effective that influence is. This is difficult because the exact objectives and target audiences of those sites are not known and the available data is largely limited to the language of the Web sites and the responses to them. We therefore propose to exploit sociolinguistic register analysis to infer objectives and target audiences from the Web site language, and sentiments and attitudes from the responses. We note that sociolinguistic register analysis uses exactly the same statistical techniques as the fields of market segmentation analysis and sentiment analysis. BENEFIT: The ability to infer the objectives and target audiences of terrorist Web sites and to measure the effectiveness of those Web sites will provide a significant benefit to U.S. Government agencies trying to counter the influence of those Web sites. The proposed tools may also help U.S. Government agencies develop better influence operations of their own. Commercial tools based on this effort could also be used in commercial marketing and competitive analysis.

* information listed above is at the time of submission.

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