An Algorithmic Criticism

Ramsay, Stephen

doi:10.5406/illinois/9780252036415.003.0001

Cited by 9 publications

(13 citation statements)

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“…In an attempt to rethink the conditions for re-integrating the algorithmic manipulation of literary texts into literary studies, Ramsay (2013) points to a number of key factors.…”

Section: Algorithmic Criticismmentioning

confidence: 99%

“…The bottom line is that computing and its corresponding digital revolution have not "penetrated the core activity of literary studies which … remains mostly concerned with the interpretive analysis of written cultural artifacts" (Ramsay 2013). The implicit assumption here is that any possible "penetration" by computation means a radical change of that core activity, which is inherently resistant to computation.…”

Section: Algorithmic Criticismmentioning

confidence: 99%

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The Computational Fallacy: A New Model for Understanding the Role of Computers in Humanities

Aljayyousi¹

2022

Digital Studies / Le Champ Numérique

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The paper tries to counter some misassumptions about the computer and computation especially in relation to humanities and human behavior and they amount to what the author calls “the computational fallacy. The paper discusses a number of points such as the physiology of the computer, the Etymology of basic terms in the field, and the current approaches especially in mainstream digital humanities which reduce computation to a set of “tools”. The paper then proceeds to discuss some counter arguments such as rethinking the notion of programmability which should substitute “calculation” as the core of computation, considering the transformative nature of the computer and its media using the ideas of some theorists like Manovich and Drucker, and some new approaches that view computation differently like Computational Thinking, Algorithmic criticism, and Speculative computing.Cet article essaie de contrer quelques suppositions erronées sur l’ordinateur et la computation, plus particulièrement leur relation aux sciences humaines et au comportement humain qui équivaut à ce que l’auteur appelle « the computational fallacy » ou l’erreur computationnelle. Cet article aborde de nombreux points, tels que la physiologie de l’ordinateur, l’étymologie de termes de base dans ce domaine, ainsi que les approches courantes, particulièrement les approches dominantes dans les humanités numériques qui réduisent la computation comme un ensemble « d’outils ». Ensuite, l’article poursuit en discutant les contre-arguments comme les nouvelles réflexions des notions de programmation qui devraient substituer le calcul au cœur de la computation, considérant la nature transformante de l’ordinateur et ses médias utilisant les idées de quelques théoristes dont Manovich et Drucker, et quelques nouvelles approches qui voient la computation différemment comme « Computational Thinking » ou la pensée computationnelle, « Algorithmic criticism » ou la critique algorithmique et « Speculative computing » ou la computation spéculative. 

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“…In an attempt to rethink the conditions for re-integrating the algorithmic manipulation of literary texts into literary studies, Ramsay (2013) points to a number of key factors.…”

Section: Algorithmic Criticismmentioning

confidence: 99%

Section: Algorithmic Criticismmentioning

confidence: 99%

The Computational Fallacy: A New Model for Understanding the Role of Computers in Humanities

Aljayyousi¹

2022

Digital Studies / Le Champ Numérique

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“…Thus a central challenge for digital humanities is to reconcile distant and close reading, text mining and hermeneutics (Evans and Rees, 2012; Hayles, 2010; Liu, 2011; Sinclair, 2003). Along these lines, Ramsay (2003) propagates algorithmic criticism. “Empirical validation and hypothesis testing simply make no sense in a discourse where the object is not to be right […], but to be interesting,” he asserts (p. 173); Earhart (2012b) concurs.…”

Section: Workmentioning

confidence: 99%

The conceptual ecology of digital humanities

Poole

2017

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Purpose The purpose of this paper is to dissect key issues and debates in digital humanities, an emerging field of theory and practice. Digital humanities stands greatly to impact the Information and Library Science (ILS) professions (and vice versa) as well as the traditional humanities disciplines. Design/methodology/approach This paper explores the contours of digital humanities as a field, touching upon fundamental issues related to the field’s coalescence and thus to its structure and epistemology. It looks at the ways in which digital humanities brings new approaches and sheds new light on manifold humanities foci. Findings Digital humanities work represents a vital new current of interdisciplinary, collaborative intellectual activity both in- and outside the academy; it merits particular attention from ILS. Research limitations/implications This paper helps potential stakeholders understand the intellectual and practical framework of the digital humanities and “its relationship” to their own intellectual and professional work. Originality/value This paper critically synthesizes previous scholarly work in digital humanities. It has particular value for those in ILS, a community that has proven especially receptive to the field, as well as to scholars working in many humanities disciplines. Digital humanities has already made an important impact on both LIS and the humanities; its impact is sure to grow.

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“…Ramsay (2007) bases his analysis of Virginia Woolf on the character-specific frequency of single words. Mahlberg (2007) looks at frequent token n-grams (using the term 'clusters') that function as a type of signature of characters in Charles Dickens' Bleak House.…”

Section: Related Workmentioning

confidence: 99%

Proceedings of the Workshop on Stylistic Variation

Shoemark¹,

Goldwater²,

Kirby

2017

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The Workshop on Stylistic Variation (StyVa) at EMNLP 2017 is the first of its kind, offering a new venue for bringing together a large but previously underserved and splintered community within computational linguistics. Our goal in creating this workshop was to attract a variety of perspectives on style from traditional areas within NLP, including authorship attribution, author profiling, genre studies, natural language generation, distributional lexicography, and literary and educational applications; to this end we have defined stylistic variation as broadly as possible, to include any variation in phonological, lexical, syntactic, or discourse realization of particular semantic content, due to differences in extralinguistic variables such as individual speaker, speaker demographics, target audience, genre, etc.We received 22 submissions, of which we accepted 14 (64%), seven as talks and seven as poster presentations.Though there was indeed a great deal of diversity in the submissions, including at least one submission in several of the major topic areas discussed above, we also noted a clear trend: we received several papers on style-sensitive language generation, particularly using neural network models. This clearly reflects a more general interest in the field, and one we would expect to continue. More generally, we are pleased that this workshop has served as a venue for both traditional and cutting-edge approaches to style.We'd like to thank the authors for choosing StyVa as a venue for their excellent work, our invited speakers (Ani Nenkova and Walter Daelemans) for their invaluable contribution, and of course the reviews provided by our esteemed Program Committee. We'd also want to thank the ACL workshop organizing committee for giving us this opportunity to bring together the NLP stylistic community.We look forward to a great workshop in Copenhagen! Julian Brooke, Moshe Koppel, and Thamar Solorio AbstractAs natural language processing research is growing and largely driven by the availability of data, we expanded research from news and small-scale dialog corpora to web and social media. User-generated data and crowdsourcing opened the door for investigating human language of various styles with more statistical power and real-world applications. In this position/survey paper, I will review and discuss seven language styles that I believe to be important and interesting to study: influential work in the past, challenges at the present, and potential impact for the future. Top Three ProblemsThe top three problems for studying language styles are data, data and data. More specifically, they are data shortage, data fusion, and data annotation problems. The data shortage problem has been improving, which is the main reason that there is surge in the number of research studies on language styles. The data fusion problem is more specific to the area, due to the subtle and often subjective nature of linguistic styles. For instance, while men and women talk in different ways (note this is not the same as ta...

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An Algorithmic Criticism

Cited by 9 publications

References 0 publications

The Computational Fallacy: A New Model for Understanding the Role of Computers in Humanities

The Computational Fallacy: A New Model for Understanding the Role of Computers in Humanities

The conceptual ecology of digital humanities

Proceedings of the Workshop on Stylistic Variation

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