by Emilio Nicolas and Stephanie Chandler
The presentation will highlight and discuss the major legal issues that interactive online service providers (e.g., wikis, social networking sites, weblogs, bulletin boards) should be aware of, including cyber-security, privacy concerns, clickwrap agreements, traditional and user-generated content rights clearance, open licensing, fair use, hot news misappropriation, the Digital Millennium Copyright Act, the Communications Decency Act, 18 U.S.C. §§ 2257-2257A, internet advertising and monetization, weblog endorsements, and litigation concerns.
by Rick Marini
Social networks are ubiquitous on the internet. With Millennials/Gen Y numbers rising in the workforce, can companies use internal social networks to their advantage? Will older employees participate? Do benefits of social networks, weblogs, Web 2.0 style sharing, tagging, and rating outweigh the risks to confidentiality and productivity?
by Adam Honore, Armando Gonzalez, Jacob Sisk and John Kittrell
Trading on news is not new. Terminals have had news readers attached from the time trading went electronic. What is new is who, or what, is trading on news. Born from a hybrid of technological capability, electronification of the markets, algorithmic trading, and a little influence from the intelligence community, black box trading systems are now applying semantic analysis to trade on news items without a single human ever reading the story. While only 2% of trading firms were doing this two years ago, roughly one-third are exploring it today. This session looks at the data, drivers, and technology behind trading on unstructured content.
Do your 500 "friends" on social networks really know what you will like? How many of your friends' shared links that you click each day are interesting to you? The social graph brings trust and meaning to the web, but often creates information overload from over-sharing. And because real-time updates and feeds emphasize recency over relevance, rare gems often fall through the cracks. This talk will discuss the issues and considerations when designing a personalized discovery engine, one that combines the social, peer and taste graphs to produce relevant, peer-sourced recommendations and serendipitous discovery of new online content. StumbleUpon CEO Garrett Camp will go over the concepts and mechanisms behind such recommendation systems, and highlight findings from analysis of StumbleUpon's database of over 15 billion personalized stumbles.
11th–15th March 2011