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Existing argumentation datasets have succeeded in allowing researchers todevelop computational methods for analyzing the content, structure andlinguistic features of argumentative text. They have been much less successfulin fostering studies of the effect of "user" traits -- characteristics andbeliefs of the participants -- on the debate/argument outcome as this type ofuser information is generally not available. This paper presents a dataset of78, 376 debates generated over a 10-year period along with surprisinglycomprehensive participant profiles. We also complete an example study using thedataset to analyze the effect of selected user traits on the debate outcome incomparison to the linguistic features typically employed in studies of thiskind.

A Corpus for Modeling User and Language Effects in Argumentation on Online Debating