Results for ' computational rhetoric'

977 found
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  1.  66
    Towards Computational Rhetoric.Floriana Grasso - 2002 - Informal Logic 22 (3).
    The notions of argument and argumentation have become increasingly ubiquitous in Artificial Intelligence research, with various application and interpretations. Less attention has been, however, specifically devoted to rhetorical argument The work presented in this paper aims at bridging this gap, by proposing a framework for characterising rhetorical argumentation, based on Perelman and Olbrechts-Tyteca's New Rhetoric. The paper provides an overview of the state of the art of computational work based on, or dealing with, rhetorical aspects of argumentation, before (...)
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  2. Rhetorical use of computer literacy in an ESL writing class: Implications for critical pedagogy and ESL writing.”.Xiaoye You - 2007 - Kairos: A Journal of Rhetoric, Technology, and Pedagogy 11 (2).
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  3.  1
    Computational dialectic and rhetorical invention.Douglas Walton - 2011 - AI and Society 26 (1):3-17.
    This paper has three dimensions, historical, theoretical and social. The historical dimension is to show how the Ciceronian system of dialectical argumentation served as a precursor to computational models of argumentation schemes such as Araucaria and Carneades. The theoretical dimension is to show concretely how these argumentation schemes reveal the interdependency of rhetoric and logic, and so the interdependency of the normative with the empirical. It does this by identifying points of disagreement in a dialectical format through using (...)
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  4.  74
    Computational Dialectic and Rhetorical Invention.Douglas Walton - 2011 - AI and Society 26 (1):2011.
    This paper has three dimensions, historical, theoretical and social. The historical dimension is to show how the Ciceronian system of dialectical argumentation served as a precursor to computational models of argumentation schemes such as Araucaria and Carneades. The theoretical dimension is to show concretely how these argumentation schemes reveal the interdependency of rhetoric and logic, and so the interdependency of the normative with the empirical. It does this by identifying points of disagreement in a dialectical format through using (...)
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  5.  53
    How Computational Tools Can Help Rhetoric and Informal Logic with Argument Invention.Douglas Walton & Thomas F. Gordon - 2019 - Argumentation 33 (2):269-295.
    This paper compares the features and methods of the two leading implemented systems that offer a tool for helping a user to find or invent arguments to support or attack a designated conclusion, the Carneades Argumentation System and the IBM Watson Debater tool. The central aim is to contribute to the understanding of scholars in informal logic, rhetoric and argumentation on how these two software systems can be useful for them. One contribution of the paper is to explain to (...)
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  6.  34
    Rhetorical figures, arguments, computation.Randy Allen Harris & Chrysanne Di Marco - 2017 - Argument and Computation 8 (3):211-231.
  7.  55
    Rhetorical figures as argument schemes – The proleptic suite.Ashley Rose Mehlenbacher - 2017 - Argument and Computation 8 (3):233-252.
    Identifying rhetorical figures with marginal to non-existent lexico-syntactic signatures poses significant challenges for computational approaches reliant upon structural definitions or descriptions. One such figure is prolepsis ([Formula: see text]ó[Formula: see text]), which this essay charts out in some detail, addressing the challenges and the benefits of rendering such figures computationally tractable through the use of argument schemes with attention to metadiscursive or macro-discursive norms offered by pragma-dialectical traditions.
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  8.  7
    Rhetorical figures as argument schemes – The proleptic suite.Randy Allen Harris & Chrysanne Di Marco - 2017 - Argument and Computation 8 (3):233-252.
    Identifying rhetorical figures with marginal to non-existent lexico-syntactic signatures poses significant challenges for computational approaches reliant upon structural definitions or descriptions. One such figure is prolepsis ([Formula: see text]ó[Formula: see text]), which this essay charts out in some detail, addressing the challenges and the benefits of rendering such figures computationally tractable through the use of argument schemes with attention to metadiscursive or macro-discursive norms offered by pragma-dialectical traditions.
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  9. Rhetorical roots and media future: How podcasting fits into the computers and writing classroom.Jennifer L. Bowie - forthcoming - Topoi.
     
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  10.  35
    Ontological representations of rhetorical figures for argument mining.Jelena Mitrović, Cliff O’Reilly, Miljana Mladenović & Siegfried Handschuh - 2017 - Argument and Computation 8 (3):267-287.
    This paper surveys ontological modeling of rhetorical concepts, developed for use in argument mining and other applications of computational rhetoric, projecting their future directions. We include ontological models of argument schemes applying Rhetorical Structure Theory (RST); the RhetFig proposal for modeling; the related RetFig Ontology of Rhetorical Figures for Serbian (developed by two of the authors); and the Lassoing Rhetoric project (developed by another of the authors). The Lassoing Rhetoric venture is interesting for its multifaceted approach (...)
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  11.  7
    Ontological representations of rhetorical figures for argument mining.Randy Allen Harris & Chrysanne Di Marco - 2017 - Argument and Computation 8 (3):267-287.
    This paper surveys ontological modeling of rhetorical concepts, developed for use in argument mining and other applications of computational rhetoric, projecting their future directions. We include ontological models of argument schemes applying Rhetorical Structure Theory (RST); the RhetFig proposal for modeling; the related RetFig Ontology of Rhetorical Figures for Serbian (developed by two of the authors); and the Lassoing Rhetoric project (developed by another of the authors). The Lassoing Rhetoric venture is interesting for its multifaceted approach (...)
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  12. The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence.David Watson - 2019 - Minds and Machines 29 (3):417-440.
    Artificial intelligence has historically been conceptualized in anthropomorphic terms. Some algorithms deploy biomimetic designs in a deliberate attempt to effect a sort of digital isomorphism of the human brain. Others leverage more general learning strategies that happen to coincide with popular theories of cognitive science and social epistemology. In this paper, I challenge the anthropomorphic credentials of the neural network algorithm, whose similarities to human cognition I argue are vastly overstated and narrowly construed. I submit that three alternative supervised learning (...)
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  13.  45
    Rhetorical Structure Theory: looking back and moving ahead.William C. Mann & Maite Taboada - 2006 - Discourse Studies 8 (3):423-459.
    Rhetorical Structure Theory has enjoyed continuous attention since its origins in the 1980s. It has been applied, compared to other approaches, and also criticized in a number of areas in discourse analysis, theoretical linguistics, psycholinguistics, and computational linguistics. In this article, we review some of the discussions about the theory itself, especially addressing issues of the reliability of analyses and psychological validity, together with a discussion of the nature of text relations. We also propose areas for further research. A (...)
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  14.  3
    Harnessing rhetorical figures for argument mining.Randy Allen Harris & Chrysanne Di Marco - 2017 - Argument and Computation 8 (3):289-310.
    The generalised, automated reconstruction of the reasoning structures underlying persuasive communication is an enormously challenging task. While this work in argument mining is increasingly informed by the rich tradition of argumentation studies outside the computational field, the rhetorical perspective on argumentation is thus far largely ignored. To explore the application of rhetorical insights in argument mining, we conduct a pilot study on the connection between rhetorical figures and argumentation structure. Rhetorical figures are linguistic devices that perform a variety of (...)
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  15.  3
    Rhetorical strategies in German argumentative dialogs.Patrick Saint-Dizier & Manfred Stede - 2017 - Argument and Computation 8 (2):153-174.
    An important factor of argument mining in dialog or multilog data is the framing with which interlocutors put forth their arguments. By using rhetorical devices such as hedging or reference to the Common Ground, speakers relate themselves to their interlocutors, their arguments, and the ongoing discourse. Capitalizing on theoretical linguistic insights into the semantics and pragmatics of discourse particles in German, we propose a categorization of rhetorical information that is highly relevant in natural transcribed speech. In order to shed light (...)
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  16.  41
    Harnessing rhetorical figures for argument mining.John Lawrence, Jacky Visser & Chris Reed - 2017 - Argument and Computation 8 (3):289-310.
    The generalised, automated reconstruction of the reasoning structures underlying persuasive communication is an enormously challenging task. While this work in argument mining is increasingly informed by the rich tradition of argumentation studies outside the computational field, the rhetorical perspective on argumentation is thus far largely ignored. To explore the application of rhetorical insights in argument mining, we conduct a pilot study on the connection between rhetorical figures and argumentation structure. Rhetorical figures are linguistic devices that perform a variety of (...)
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  17.  6
    The Computer Prescription: Medical Computing, Public Policy, and Views of History.Bonnie Kaplan - 1995 - Science, Technology and Human Values 20 (1):5-38.
    This article traces past trends and current developments in medical computing in the United States. It suggests a link between shifts in emphases in medical computing and in federal government policy toward health care delivery. The development of medical computing was not driven solely by the internal imperatives of science and technology, but by dreams and visions of how computers could revolutionize medicine. Such dreams and visions constitute a mythical charter similar to ideologies and rhetoric used to mobilize support (...)
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  18.  11
    Where’s the Rhetoric? Imagining a Unified Field.Joshua Hanan - 2024 - Philosophy and Rhetoric 57 (2):218-225.
    In lieu of an abstract, here is a brief excerpt of the content:Reviewed by:Where's the Rhetoric? Imagining a Unified Field by S. Scott GrahamJoshua HananWhere's the Rhetoric? Imagining a Unified Field. By S. Scott Graham. Columbus: Ohio State University Press, 2020. 194 pp. Paperback $29.95. ISBN: 978-0-8142-5771-5.The proliferation of materialist perspectives in rhetorical studies has generated feelings of disciplinary crisis and fragmentation. Early materialist formulations of rhetoric, such as those put forward by Michael Calvin McGee and Raymie (...)
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  19.  19
    Erratum to: Computational dialectic and rhetorical invention. [REVIEW]Douglas Walton - 2011 - AI and Society 26 (1):19-19.
  20.  30
    Recognizing rhetoric in science policy arguments.Nancy L. Green - 2020 - Argument and Computation 11 (3):257-268.
    Diligent citizens must critically analyze arguments for science policy recommendations, such as cutting greenhouse gas emissions or growing genetically modified food crops. Science policy articles present arguments for and against such recommendations using scientific evidence and rhetorical devices. In this paper we present an in-depth analysis of argumentation and rhetorical devices in two journal articles on climate change issues. One objective was to gain a better understanding of use of rhetorical devices in this genre, as a prerequisite for designing and (...)
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  21.  90
    Computational Analyses of Multilevel Discourse Comprehension.Arthur C. Graesser & Danielle S. McNamara - 2011 - Topics in Cognitive Science 3 (2):371-398.
    The proposed multilevel framework of discourse comprehension includes the surface code, the textbase, the situation model, the genre and rhetorical structure, and the pragmatic communication level. We describe these five levels when comprehension succeeds and also when there are communication misalignments and comprehension breakdowns. A computer tool has been developed, called Coh-Metrix, that scales discourse (oral or print) on dozens of measures associated with the first four discourse levels. The measurement of these levels with an automated tool helps researchers track (...)
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  22.  31
    Applications of Rhetorical Structure Theory.William C. Mann & Maite Taboada - 2006 - Discourse Studies 8 (4):567-588.
    Rhetorical Structure Theory is a theory of text organization that has led to areas of application beyond discourse analysis and text generation, its original goals. In this article, we review the most important applications in several areas: discourse analysis, theoretical linguistics, psycholinguistics, and computational linguistics. We also provide a list of resources useful for work within the RST framework. The present article is a complement to our review of the theoretical aspects of the theory.
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  23.  54
    Computational Dialogic Defeasible Reasoning.Robert L. Causey - 2003 - Argumentation 17 (4):421-450.
    This article begins with an introduction to defeasible (nonmonotonic) reasoning and a brief description of a computer program, EVID, which can perform such reasoning. I then explain, and illustrate with examples, how this program can be applied in computational representations of ordinary dialogic argumentation. The program represents the beliefs and doubts of the dialoguers, and uses these propositional attitudes, which can include commonsense defeasible inference rules, to infer various changing conclusions as a dialogue progresses. It is proposed that (...) representations of this kind are a useful tool in the analysis of dialogic argumentation, and, in particular, demonstrate the important role of defeasible reasoning in everyday arguments using commonsense reasoning. (shrink)
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  24.  33
    Using rhetorical strategies to design prompts: a human-in-the-loop approach to make AI useful.Nupoor Ranade, Marly Saravia & Aditya Johri - forthcoming - AI and Society:1-22.
    The growing capabilities of artificial intelligence (AI) word processing models have demonstrated exceptional potential to impact language related tasks and functions. Their fast pace of adoption and probable effect has also given rise to controversy within certain fields. Models, such as GPT-3, are a particular concern for professionals engaged in writing, particularly as their engagement with these technologies is limited due to lack of ability to control their output. Most efforts to maximize and control output rely on a process known (...)
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  25.  7
    The rhetoric appeal to identity on websites of companies offering non-health-related DNA testing.Anders Nordgren - 2010 - Identity in the Information Society 3 (3):473-487.
    During the last few years a large number of companies have emerged offering DNA testing via the Internet “direct-to-consumer”. In this paper, I analyse the rhetoric appeal to personal identity put forward on the websites of some of these consumer genomics companies. The investigation is limited to non-health-related DNA testing and focuses on individualistic and communitarian—in a descriptive sense—visions of identity. The individualistic visions stress that each individual is unique and suggest that this uniqueness can be supported by, for (...)
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  26.  36
    An annotation scheme for Rhetorical Figures.Randy Allen Harris, Chrysanne Di Marco, Sebastian Ruan & Cliff O’Reilly - 2018 - Argument and Computation 9 (2):155-175.
    There is a driving need computationally to interrogate large bodies of text for a range of non-denotative meaning (e.g., to plot chains of reasoning, detect sentiment, diagnose genre, and so forth). But such meaning has always proven computationally allusive. It is often implicit, ‘hidden’ meaning, evoked by linguistic cues, stylistic arrangement, or conceptual structure – features that have hitherto been difficult for Natural Language Processing systems to recognize and use. Non-denotative textual effects are the historical concern of rhetorical studies, and (...)
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  27.  8
    An annotation scheme for Rhetorical Figures.Floriana Grasso & Nancy L. Green - 2018 - Argument and Computation 9 (2):155-175.
    There is a driving need computationally to interrogate large bodies of text for a range of non-denotative meaning (e.g., to plot chains of reasoning, detect sentiment, diagnose genre, and so forth). But such meaning has always proven computationally allusive. It is often implicit, ‘hidden’ meaning, evoked by linguistic cues, stylistic arrangement, or conceptual structure – features that have hitherto been difficult for Natural Language Processing systems to recognize and use. Non-denotative textual effects are the historical concern of rhetorical studies, and (...)
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  28.  30
    Rhetorics & Viruses.Jaedyn A. Baker, Dominick Beaudine, Frannie Deckas, Rebecca L. Gross, Steven Mailloux, Nazareth Martínez, Mattie K. Norman & Schuyler Vanderveen - 2020 - Philosophy and Rhetoric 53 (3):207-216.
    During the current COVID-19 pandemic, we are experiencing physical viruses infecting our bodies, virtual viruses infecting our computers, and symbolic viruses infecting our thinking. This essay takes up each of these interruptions in a collective attempt to better understand how we are rhetorically and where we might go politically from here.
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  29. Rhetorics of evidence: science - media - culture.Olaf Kramer & Michael Pelzer (eds.) - 2025 - Anderson, South Carolina: Parlor Press.
    Sixteen essays examine the use of evidence in culture, media, and science communication, ranging from paleontology, meteorology, neurological science/computation to literature, film, photography, and civic rhetoric. In full color.
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  30.  20
    Rhetorical strategies in German argumentative dialogs.Annette Hautli-Janisz & Mennatallah El-Assady - 2017 - Argument and Computation 8 (2):153-174.
    An important factor of argument mining in dialog or multilog data is the framing with which interlocutors put forth their arguments. By using rhetorical devices such as hedging or reference to the Common Ground, speakers relate themselves to their interlocutors, their arguments, and the ongoing discourse. Capitalizing on theoretical linguistic insights into the semantics and pragmatics of discourse particles in German, we propose a categorization of rhetorical information that is highly relevant in natural transcribed speech. In order to shed light (...)
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  31.  57
    DeepRhole: deep learning for rhetorical role labeling of sentences in legal case documents.Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh, Saptarshi Ghosh & Adam Wyner - 2021 - Artificial Intelligence and Law 31 (1):53-90.
    The task of rhetorical role labeling is to assign labels (such as Fact, Argument, Final Judgement, etc.) to sentences of a court case document. Rhetorical role labeling is an important problem in the field of Legal Analytics, since it can aid in various downstream tasks as well as enhances the readability of lengthy case documents. The task is challenging as case documents are highly various in structure and the rhetorical labels are often subjective. Previous works for automatic rhetorical role identification (...)
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  32. Romancing the Machine: Reflections on the Social Scientific Construction of Computer Reality.Bernward Joerges - 1989 - International Studies of Management and Organization.
  33.  45
    Astrology, Computers, and the Volksgeist.Denis Dutton - 1995 - Philosophy and Literature 19 (2):424-434.
    In lieu of an abstract, here is a brief excerpt of the content:Astrology, Computers, and the VolksgeistDenis DuttonCarroll Righter is not a name you will recognize, unless, perhaps, you’re old enough and you grew up reading the Los Angeles Times. Righter was the Times’s astrologer, and encountering his name recently brought back a couple of memories from the early 1950s. I remember finding it strange that a man (he was pictured alongside his column) was called Carroll, though he didn’t spell (...)
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  34.  81
    Representation of Argumentation in Text with Rhetorical Structure Theory.Nancy L. Green - 2010 - Argumentation 24 (2):181-196.
    Various argumentation analysis tools permit the analyst to represent functional components of an argument (e.g., data, claim, warrant, backing), how arguments are composed of subarguments and defenses against potential counterarguments, and argumentation schemes. In order to facilitate a study of argument presentation in a biomedical corpus, we have developed a hybrid scheme that enables an analyst to encode argumentation analysis within the framework of Rhetorical Structure Theory (RST), which can be used to represent the discourse structure of a text. This (...)
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  35.  11
    Astrology, Computers, and the Volksgeist.David Novitz - 1995 - Philosophy and Literature 19 (2):424-434.
    In lieu of an abstract, here is a brief excerpt of the content:Astrology, Computers, and the VolksgeistDenis DuttonCarroll Righter is not a name you will recognize, unless, perhaps, you’re old enough and you grew up reading the Los Angeles Times. Righter was the Times’s astrologer, and encountering his name recently brought back a couple of memories from the early 1950s. I remember finding it strange that a man (he was pictured alongside his column) was called Carroll, though he didn’t spell (...)
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  36.  30
    Computational Intention.Raymond Turner - 2020 - Studies in Logic, Grammar and Rhetoric 63 (1):19-30.
    The core entities of computer science include formal languages, spec-ifications, models, programs, implementations, semantic theories, type inference systems, abstract and physical machines. While there are conceptual questions concerning their nature, and in particular ontological ones (Turner 2018), our main focus here will be on the relationships between them. These relationships have an extensional aspect that articulates the propositional connection between the two entities, and an intentional one that fixes the direction of governance. An analysis of these two aspects will drive (...)
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  37.  13
    Flexible Infections: Computer Viruses, Human Bodies, Nation-States, Evolutionary Capitalism.Stefan Helmreich - 2000 - Science, Technology, and Human Values 25 (4):472-491.
    This article analyzes computer security rhetoric, particularly in the United States, arguing that dominant cultural understandings of immunology, sexuality, legality, citizenship, and capitalism powerfully shape the way computer viruses are construed and combated. Drawing on popular and technical handbooks, articles, and Web sites, as well as on e-mail interviews with security professionals, the author explores how discussions of computer viruses lean on analogies from immunology and in the process often encode popular anxieties about AIDS. Computer security rhetoric about (...)
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  38.  38
    Computing as Empirical Science- Evolution as a Concept.Paweł Polak - 2016 - Studies in Logic, Grammar and Rhetoric 48 (1):49-69.
    This article presents the evolution of philosophical and methodological considerations concerning empiricism in computer/computing science. In this study, we trace the most important current events in the history of reflection on computing. The forerunners of Artificial Intelligence H.A. Simon and A. Newell in their paper Computer Science As Empirical Inquiry started these considerations. Later the concept of empirical computer science was developed by S.S. Shapiro, P. Wegner, A.H. Eden and P.J. Denning. They showed various empirical aspects of computing. This led (...)
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  39.  20
    Toward a computational hermeneutics.Ronald L. Breiger, Robin Wagner-Pacifici & John W. Mohr - 2015 - Big Data and Society 2 (2).
    We describe some of the ways that the field of content analysis is being transformed in an Era of Big Data. We argue that content analysis, from its beginning, has been concerned with extracting the main meanings of a text and mapping those meanings onto the space of a textual corpus. In contrast, we suggest that the emergence of new styles of text mining tools is creating an opportunity to develop a different kind of content analysis that we describe as (...)
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  40.  12
    Fuzzy Logic: Computers, Education, and Language in a Techno-Illogical World.Ellen Rose - 2002 - Bulletin of Science, Technology and Society 22 (6):513-517.
    This article disrupts the logic of the “just-a-tool” argument, a powerful rhetorical device commonly offered as a rationale for using computers in education (and health care and other areas of society). Although this argument is articulated in many ways, its essence is the contention that computers are merely instructional tools, like blackboards or pencils, that can be used to enhance learning and therefore should be used in classrooms. The just-a-tool argument is difficult to challenge because it automatically constructs counterarguments as (...)
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  41. Introducing Argument & Computation.Guillermo R. Simari, Chris Reed, Iyad Rahwan & Floriana Grasso - 2010 - Argument and Computation 1 (1):1-5.
    Over the past decade or so, a new interdisciplinary field has emerged in the ground between, on the one hand, computer science – and artificial intelligence in particular – and, on the other, the area of philosophy concentrating on the language and structure of argument. There are now hundreds of researchers worldwide who would consider themselves a part of this nascent community. Various terms have been proposed for the area, including "Computational Dialectics," "Argumentation Technology," and "Argument-based Computing," but the (...)
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  42. The Complex Systems Approach: Rhetoric or Revolution.Chris Eliasmith - 2012 - Topics in Cognitive Science 4 (1):72-77.
    The complex systems approach (CSA) to characterizing cognitive function is purported to underlie a conceptual and methodological revolution by its proponents. I examine one central claim from each of the contributed papers and argue that the provided examples do not justify calls for radical change in how we do cognitive science. Instead, I note how currently available approaches in ‘‘standard’’ cognitive science are adequate (or even more appropriate) for understanding the CSA provided examples.
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  43.  42
    The Dark Side of Machiavellian Rhetoric: Signaling in Reward-Based Crowdfunding Performance.Goran Calic, Rene Arseneault & Maryam Ghasemaghaei - 2021 - Journal of Business Ethics 182 (3):875-896.
    In this study, we explore the impact of Machiavellian rhetoric on fundraising within the increasingly important context of online crowdfunding. The “all-or-nothing” funding model used by the world’s largest crowdfunding platform, Kickstarter, may be an attractive context in which entrepreneurs can utilize Machiavellian rhetoric to reach their funding goal, lest they get no funding at all. This study uses data from 76,847 crowdfunding projects posted on kickstarter.com and develops a dictionary for computer-aided text analysis (CATA) of Machiavellian (...) to measure the relationship between the frequency of Machiavellian rhetoric use and crowdfunding performance, operationalized as either reaching a funding goal or the number of backers who funded the project. Machiavellian rhetoric is segregated into eight facets, which are categorized into hard and soft influence tactics. Hard tactics include revenge, intimidation, betrayal, and manipulation. Soft tactics include ingratiation, supplication, self-disclosure, and persuasion. Results reveal that signals of revenge, self-disclosure, and intimidation have negative effects, whereas signals of ingratiation and persuasion have mixed positive effects on crowdfunding performance. Ingratiation is found to increase the number of backers, but not funding success. Conversely, persuasion is found to increase funding success, but not the number of backers. Surprisingly, betrayal rhetoric is positively related to both measures of crowdfunding performance. Thus, this article complements the literature on backer decision-making, entrepreneurial methods, reward-based crowdfunding, and ethics in entrepreneurship by demonstrating how the displays of potentially negative phenomena, such as Machiavellianism, have complex consequences for entrepreneurial outcomes. (shrink)
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  44.  34
    An emerging AI mainstream: deepening our comparisons of AI frameworks through rhetorical analysis.Epifanio Torres & Will Penman - 2021 - AI and Society 36 (2):597-608.
    Comparing frameworks for AI development allows us to see trends and reflect on how we are conceptualizing, interacting with, and imagining futures for AI. Recent scholarship comparing a range of AI frameworks has often focused methodologically on consensus, which has led to problems in evaluating potentially ambiguous values. We contribute to this scholarship using a rhetorical perspective attuned to how frameworks shape people’s actions. This perspective allows us to develop the concept of an “AI mainstream” through an analysis of five (...)
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  45.  34
    Analogicity in Computer Science. Methodological Analysis.Paweł Stacewicz - 2020 - Studies in Logic, Grammar and Rhetoric 63 (1):69-86.
    Analogicity in computer science is understood in two, not mutually exclusive ways: 1) with regard to the continuity feature (of data or computations), 2) with regard to the analogousness feature (i.e. similarity between certain natural processes and computations). Continuous computations are the subject of three methodological questions considered in the paper: 1a) to what extent do their theoretical models go beyond the model of the universal Turing machine (defining digital computations), 1b) is their computational power greater than that of (...)
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  46.  66
    Who Needs Critical Agency?: Educational research and the rhetorical economy of globalization.J. A. Rice & Michael Vastola - 2011 - Educational Philosophy and Theory 43 (2):148-161.
    Current critical pedagogical scholarship has theorized the epistemological and social intersection between globalization and educational technology according to two distinct positions. For some, this intersection offers new liberatory knowledges and opportunities that can subvert social homogenization and economic disparity. For others, this relationship is just another phase of neoimperialism that should be politically and ideologically resisted. In contrast, we argue that the intersection between globalization and educational technologies is rather a manifestation of larger economic and logical forces, and that resistance (...)
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  47. Alpha test: Rethinking computer literacy, research, and academic honesty.D. DeVoss - 2001 - Kairos: A Journal of Rhetoric, Technology, and Pedagogy 6 (2).
     
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  48.  7
    ChatGPT as imperfect rhetorical tool in public policy.Marcel Becker - forthcoming - AI and Society:1-10.
  49.  17
    A Circle of Fragments: Barthes, Burgin, and the Interruption of Rhetoric.Ryan Bishop - 2020 - Theory, Culture and Society 37 (4):135-165.
    Roland Barthes’ entire career pursued a dream of being freed from the tyranny of ossified, institutionalized, rote language use, as articulated from his first massively influential work on ‘writing degree zero’ in 1953. The anaemic role of institutional rhetoric and its dusty formulations dulled the capacity for using language and thought otherwise. For Barthes, fragments played a privileged role in the escape from the tyranny of meaning imposed by doxa and received wisdom, sometimes called ‘literature’ and ‘rhetoric’. Barthes (...)
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  50. Disrupting the computer lab (oratory): Names, metaphors, and the wireless writing classroom.Meredith Zoetewey - 2004 - Kairos: A Journal of Rhetoric, Technology, and Pedagogy 9 (1).
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