AbstractIn their bookCommitment in Dialogue, Walton and Krabbe claim that formal dialogue systems for conversational argumentation are “not very realistic and not easy to apply”. This difficulty may make argumentation theory less well adapted to be employed to describe or analyse actual argumentation practice. On the other hand, the empirical study of real-life arguments may miss or ignore insights of more than the two millennia of the development of philosophy of language, rhetoric, and argumentation theory. In this paper, we propose a novel methodology for adapting such theories to serve as applicable tools in the study of argumentation phenomena. Our approach is boththeoretically-informedandempirically-groundedin large-scale corpus analysis. The area of interest are appeals to ethos, the character of the speaker, building upon Aristotle’s rhetoric. Ethotic techniques are used to influence the hearers through the communication, where speakers might establish, but also emphasise, weaken or undermine their own or others’ credibility and trustworthiness. Specifically, we apply our method to Aristotelian theory of ethos elements which identifiespractical wisdom,moral virtueandgoodwillas components of speakers’ character, which can be supported or attacked. The challenges we identified in this case and the solutions we proposed allow us to formulate general guidelines of how to exploit rich theoretical frameworks to the analysis of the practice of language use.

AbstractWhile the role of discourse connectives has long been acknowledged in argumentative frameworks, these approaches often take a coarse-grained approach to connectives, treating them as a unified group having similar effects on argumentation. Based on an empirical study of the straw man fallacy, we argue that a more fine-grained approach is needed to explain the role of each connective and illustrate their specificities. We first present an original corpus study detailing the main features of four causal connectives in French that speakers routinely use to attribute meaning to another speaker (puisque, étant donné que, vu que and comme), which is a key element of straw man fallacies. We then assess the influence of each of these connectives in a series of controlled experiments. Our results indicate each connective has different effects for the persuasiveness of straw man fallacies, and that these effects can be explained by differences in their semantic profile, as evidenced in our corpus study. Taken together, our results demonstrate that connectives are important for argumentation but should be analyzed individually, and that the study of fallacies should include a fine-grained analysis of the linguistic elements typically used in their formulation.

AbstractAs more and more sophisticated software is created to allow the mining of arguments from natural language texts, this paper sets out to examine the suitability of the well-established and readily available methods of corpus linguistics to the study of argumentation. After brief introductions to corpus linguistics and the concept of meta-argument, I describe three pilot-studies into the use of the terms Straw man, Ad hominem, and Slippery slope, made using the open access News on the Web corpus. The presence of each of these phrases on internet news sites was investigated and assessed for correspondence to the norms of use by argumentation theorists. All three pilot-studies revealed interesting facts about the usage of the terms by non-specialists, and led to numerous examples of the types of arguments mentioned. This suggests such corpora may be of use in two different ways: firstly, the wider project of improving public debate and educating the populace in the skills of critical thinking can only be helped by a better understanding of the current state of knowledge of the technical terms and concepts of argumentation. Secondly, theorists could obtain a more accurate picture of how arguments are used, by whom, and to what reception, allowing claims on such matters to be evidence, rather than intuition, based.