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Design of Information Graphics for Causal Arguments



In this paper we analyze some information graphic design techniques used to help present causal arguments in human-authored articles on science and technology intended for an audience that may include non-scientists. In particular, our focus is on design techniques used to argue for or against causal relationships. We represent the causal claims of the arguments in the notation of qualitative probabilistic networks, which provides a concise computationoriented representation of claims involving causation. The main goal of our analysis is to acquire knowledge to enable automatic synthesis of information graphics in an intelligent argument generation system.

Year: 2009
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