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  1.  2
    Implicit Argumentation and Persuasion.Edoardo Lombardi Vallauri, Laura Baranzini, Doriana Cimmino, Federica Cominetti, Claudia Coppola & Giorgia Mannaioli - 2020 - Journal of Argumentation in Context 9 (1):95-123.
    The paper provides evidence that linguistic strategies based on the implicit encoding of information are effective means of deceptive argumentation and manipulation, as they can ease the acceptance of doubtful arguments by distracting addressees’ attention and by encouraging shallow processing of doubtful contents. The persuasive and manipulative functions of these rhetorical strategies are observed in commercial and political propaganda. Linguistic implicit strategies are divided into two main categories: the implicit encoding of content, mainly represented by implicatures and vague expressions, and (...)
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  2.  3
    The Argument and the Honey Pot.Didier Maillat - 2020 - Journal of Argumentation in Context 9 (1):124-147.
    This paper proposes to harness the linguistic theory that looks at the construction of meaning in context – i.e., pragmatics – to investigate the contextual effects bearing on the interpretation of arguments in manipulative seduction contexts. Adopting a cognitively grounded relevance-theoretic approach, I will show that deceptive seduction is used primarily to strengthen the hearer’s perception of the seducer, thereby strengthening the standpoints and arguments s/he puts forward. In that sense, it will be argued, seductive moves function like contextual constraints (...)
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  3.  2
    Non-Propositional Meanings and Commitment Attribution.Misha-Laura Müller - 2020 - Journal of Argumentation in Context 9 (1):148-166.
    In this paper, I elaborate on the cognitive pragmatic approaches of commitment attribution. I argue that non-propositional meanings play a role in the reconstruction of arguments and I underline that this constitutes a further argument in favor of a cognitive approach to the study of commitment attribution. I focus on an authentic example of a straw man fallacy consisting in an implicit misattribution of commitments to the speaker with the form “Excuse me for having done p” and a refutation of (...)
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  4.  1
    Argumentation and Meaning.Steve Oswald, Sara Greco, Johanna Miecznikowski, Chiara Pollaroli & Andrea Rocci - 2020 - Journal of Argumentation in Context 9 (1):1-18.
    This special issue aims to explore the semantic and pragmatic dimensions of meaning in terms of their significance and relevance in the study of argumentation. Accordingly, the contributors to the project, who have all presented their work during the 2nd Argumentation and Language conference, which took place in Lugano in February 2018,1 have been specifically instructed to produce papers which explicitly tackle the importance of the study of meaning for that of argumentative practices. All papers therefore cover at least one (...)
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  5. The Significance of the Adversative Connectives Aber, Mais, Ma (‘but’) as Indicators in Young Children’s Argumentation.Andrea Rocci, Sara Greco, Rebecca Schär, Josephine Convertini, Anne-Nelly Perret-Clermont & Antonio Iannaccone - 2020 - Journal of Argumentation in Context 9 (1):69-94.
    Adversative connectives have been analyzed as articulating explicit and implicit facets of argumentative moves and have been thus recognized as potential argumentative indicators. Here we examine adversative connectives Ger. aber, Fr. mais, It. ma in young children’s speech in the context of the ArgImp project, a research endeavor seeking to understand in which situations children aged between two and six years engage in argumentation and how their contributions are structured. Two multilingual corpora have been collected for the project: everyday family (...)
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  6.  2
    Automatic Argumentation Mining and the Role of Stance and Sentiment.Manfred Stede - 2020 - Journal of Argumentation in Context 9 (1):19-41.
    Argumentation mining is a subfield of Computational Linguistics that aims at automatically finding arguments and their structural components in natural language text. We provide a short introduction to this field, intended for an audience with a limited computational background. After explaining the subtasks involved in this problem of deriving the structure of arguments, we describe two other applications that are popular in computational linguistics: sentiment analysis and stance detection. From the linguistic viewpoint, they concern the semantics of evaluation in language. (...)
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