Abstract—In recent years, information hiding technology has developed from the focus of digital watermark into secret communication. This paper explores an information hiding system for online conversation based on the statistical relations between words. It establishes a rule system to ensure

One of the most important roles played by technology is connecting people and mediating their communication with one another. Building technology that mediates conversation presents a number of challenging research and design questions. Apart from the fundamental issue of what exactly gets mediated

One of the most important roles played by technology is connecting people and mediating their communication with one another. Building technology that mediates conversation presents a number of challenging research and design questions. Apart from the fundamental issue of what exactly gets mediated

We consider the problem of converting offline estimators into an online predictor or estimator with small extra regret. Formally this is the problem of merging a collection of probability measures over strings of length 1,2,3,... into a single probability measure over infinite sequences. We

mapping electronic discussions: understanding

. Un-derstanding linking behaviour is an important part of un-derstanding the dynamics of online conversations, and iden-tifying the changing interests of participants in these discus-sions. In this paper, we present a study of the hyperlinks posted on a large-scale message board dataset over a ten

With the increase of Internet and WWW usage in the classroom, instructional activities are now being implemented that use online conversation for knowledge building. Current research with The WEB Project, an Innovation Challenge Grantee, subtitled "Creating a WEB of Evidence of Student

online conversations give participants a better grasp of their cyber environment and their fellow inhabitants. A t any given moment, thousands upon thousands of conversations are taking place online. They cover every imaginable topic, from travel anxiety in a time of terrorism to tips for teaching

machine learning based approach for the automatic identification of discourse participants that are likely to be influencers in online communication. Our approach relies on identification of three types of conversational behavior: persuasion, agreement/disagreement, and dialog patterns. 1

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