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Dynamic Internal Content Filter Presentation at ISTTF on September 23, 2008 by [Your Company/Product Name]

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Discover how icouldbe.org's adaptive text filter safeguards online interactions, blocks inappropriate content, and presents flagged messages for review in a user-friendly interface. This filter, tailored to individual profiles, ensures secure communication within a verified community of students and mentors. Explore quantitative data, results, and contact information for further details.

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Dynamic Internal Content Filter Presentation at ISTTF on September 23, 2008 by [Your Company/Product Name]
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  1. Icouldbe.orgDynamic, Internal Content Filter Presentation to ISTTF September 23, 2008 YOUR COMPANY NAME /PRODUCT NAME HERE ISTTF Presentation 9/23/2008

  2. Dynamic, Internal Content Filter icouldbe.org developed an adaptive text filter that prevents adults and minors from contacting one another outside of our moderated, online community.  13,000 users have experienced this filter over the last 5 years. The filter reads all text between all members of the community, prevents personally identifying information and inappropriate messages from reaching their intended targets and presents flagged messages to administrators in an actionable and user-friendly interface. The filter adapts to each individual user’s profile, preventing them from transmitting identifying information. ISTTF Presentation 9/23/2008

  3. Product Context: This filter depends upon a community of verified and accountable students and volunteers. We use Trufina to verify the identities of our adult mentors and to ensure that they do not have troublesome criminal histories. All of our young people participate under the supervision of classroom teachers, who take responsibility for the validity of all of their student accounts. ISTTF Presentation 9/23/2008

  4. Quantitative Data and Results • 118,000 emails have been sent by 13,000 users. 1,581 (1.3%) of these emails have been stopped by the filter. • More than 85% of these stopped emails contained potentially identifying information and/or URLs. • Only 14% of stopped emails were profane. • With each updated, annual version of our filter we have fewer false positives.

  5. Q&A • Kate Schrauth, Executive Director kate@icouldbe.org 646 734-8133 • Nathaniel Calhoun, Director of Education nathaniel@icouldbe.org 917 608-7161 • William Silverman, Programmer wsilverm@optonline.net ISTTF Presentation 9/23/2008