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  1. Representation of grossone-based arithmetic in Simulink for scientific computing.Alberto Falcone, Alfredo Garro, Marat Mukhametzhanov & Yaroslav Sergeyev - 2020 - Soft Computing 24:17525-17539.
    Numerical computing is a key part of the traditional computer architecture. Almost all traditional computers implement the IEEE 754-1985 binary floating point standard to represent and work with numbers. The architectural limitations of traditional computers make impossible to work with infinite and infinitesimal quantities numerically. This paper is dedicated to the Infinity Computer, a new kind of a supercomputer that allows one to perform numerical computations with finite, infinite, and infinitesimal numbers. The already available software simulator of the Infinity Computer (...)
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  2. Tháng 10 có 186 lượt tải bayesvl.Chẫu Chàng - 2023 - Tính Toán Ứng Dụng.
    Kết quả công việc đã được cải thiện một phần đáng kể nhờ sự trợ giúp của bayesvl.
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  3. The Conceptual Access-NeTwORk (CANTOR) Thesis: Theorizing the Development or Success of New Internet-Based Products, Services, or Technologies.La Shun L. Carroll - 2023 - Indonesian Journal of Innovation and Applied Sciences (Ijias) 3 (2):86-98.
    For any new internet-based product, service, or technology to succeed, it must satisfy the criterion of providing access to or creating a network of possible users, products, and services. This is the Conceptual Access-Network (CANTOR) Thesis proposed. In addition to the main issues of success and how and why internet technology evolves, the principle can also meet the objective of explaining what underlies a range of traditional and nontraditional technologies beyond the internet. Through qualitative exploration, the tenets of the access-network (...)
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  4. The Formats of Cognitive Representation: A Computational Account.Dimitri Coelho Mollo & Alfredo Vernazzani - 2023 - Philosophy of Science.
    Cognitive representations are typically analysed in terms of content, vehicle and format. While current work on formats appeals to intuitions about external representations, such as words and maps, in this paper we develop a computational view of formats that does not rely on intuitions. In our view, formats are individuated by the computational profiles of vehicles, i.e., the set of constraints that fix the computational transformations vehicles can undergo. The resulting picture is strongly pluralistic, it makes space for a variety (...)
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  5. The Role of A Priori Belief in the Design and Analysis of Fault-Tolerant Distributed Systems.Giorgio Cignarale, Ulrich Schmid, Tuomas Tahko & Roman Kuznets - 2023 - Minds and Machines 33 (2):293-319.
    The debate around the notions of a priori knowledge and a posteriori knowledge has proven crucial for the development of many fields in philosophy, such as metaphysics, epistemology, metametaphysics etc. We advocate that the recent debate on the two notions is also fruitful for man-made distributed computing systems and for the epistemic analysis thereof. Following a recently proposed modal and fallibilistic account of a priori knowledge, we elaborate the corresponding concept of a priori belief: We propose a rich taxonomy of (...)
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  6. Implementing a Computing System: A Pluralistic Approach.Syed AbuMusab - 2023 - Global Philosophy 33 (1):1-19.
    In chapter eleven of "On The Foundation of Computing," Primiero takes on the implementation debate in computer science. He contrasts his theory with two other views—the Semantic and the specification—artifact. In this paper, I argue that there is a way to fine-tune the implementation concept further. Firstly, contrary to Primiero, I claim it is problematic to separate the implementation relationship from the conditions which make it correct. Secondly, by taking a pluralistic approach to implementation, I claim it is a mistake (...)
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  7. On the Foundations of Computing. Computing as the Fourth Great Domain of Science. [REVIEW]Gordana Dodig-Crnkovic - 2023 - Global Philosophy 33 (1):1-12.
    This review essay analyzes the book by Giuseppe Primiero, On the foundations of computing. Oxford: Oxford University Press (ISBN 978-0-19-883564-6/hbk; 978-0-19-883565-3/pbk). xix, 296 p. (2020). It gives a critical view from the perspective of physical computing as a foundation of computing and argues that the neglected pillar of material computation (Stepney) should be brought centerstage and computing recognized as the fourth great domain of science (Denning).
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  8. Lower and Upper Estimates of the Quantity of Algebraic Numbers.Yaroslav Sergeyev - 2023 - Mediterranian Journal of Mathematics 20:12.
    It is well known that the set of algebraic numbers (let us call it A) is countable. In this paper, instead of the usage of the classical terminology of cardinals proposed by Cantor, a recently introduced methodology using ①-based infinite numbers is applied to measure the set A (where the number ① is called grossone). Our interest to this methodology is explained by the fact that in certain cases where cardinals allow one to say only whether a set is countable (...)
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  9. Counting with Cilia: The Role of Morphological Computation in Basal Cognition Research.Wiktor Rorot - 2022 - Entropy 24 (11):1581.
    “Morphological computation” is an increasingly important concept in robotics, artificial intelligence, and philosophy of the mind. It is used to understand how the body contributes to cognition and control of behavior. Its understanding in terms of "offloading" computation from the brain to the body has been criticized as misleading, and it has been suggested that the use of the concept conflates three classes of distinct processes. In fact, these criticisms implicitly hang on accepting a semantic definition of what constitutes computation. (...)
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  10. Research Data Preservation Practices of Library and Information Science Faculties.A. Subaveerapandiyan & Anuradha Maurya - 2022 - Defence Journal of Library and Information Science Technology 42 (4):259-264.
    Digitisation of research data is widely increasing all around the world because it needs more and development of enormous digital technologies. Data curation services are starting to offer many libraries. Research data curation is the collective invaluable and reusable information of the researchers. Collected data preservation is more important. The majority of the higher education institutes preserved the research data for their students and researchers. It is stored for a long time using various formats. It is called research data preservation. (...)
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  11. Clinical Ethics – To Compute, or Not to Compute?Lukas J. Meier, Alice Hein, Klaus Diepold & Alena Buyx - 2022 - American Journal of Bioethics 22 (12):W1-W4.
    Can machine intelligence do clinical ethics? And if so, would applying it to actual medical cases be desirable? In a recent target article (Meier et al. 2022), we described the piloting of our advisory algorithm METHAD. Here, we reply to commentaries published in response to our project. The commentaries fall into two broad categories: concrete criticism that concerns the development of METHAD; and the more general question as to whether one should employ decision-support systems of this kind—the debate we set (...)
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  12. Can AI Help Us to Understand Belief? Sources, Advances, Limits, and Future Directions.Andrea Vestrucci, Sara Lumbreras & Lluis Oviedo - 2021 - International Journal of Interactive Multimedia and Artificial Intelligence 7 (1):24-33.
    The study of belief is expanding and involves a growing set of disciplines and research areas. These research programs attempt to shed light on the process of believing, understood as a central human cognitive function. Computational systems and, in particular, what we commonly understand as Artificial Intelligence (AI), can provide some insights on how beliefs work as either a linear process or as a complex system. However, the computational approach has undergone some scrutiny, in particular about the differences between what (...)
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  13. Introducing new work on indeterminacy and underdetermination.Mark Bowker - 2022 - Synthese 200 (6):1-14.
    This paper summarises the contributions to our Topical Collection on indeterminacy and underdetermination. The collection includes papers in ethics, metaethics, logic, metaphysics, epistemology, philosophy of science, philosophy of language and philosophy of computation.
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  14. Data science and molecular biology: prediction and mechanistic explanation.Ezequiel López-Rubio & Emanuele Ratti - 2021 - Synthese 198 (4):3131-3156.
    In the last few years, biologists and computer scientists have claimed that the introduction of data science techniques in molecular biology has changed the characteristics and the aims of typical outputs (i.e. models) of such a discipline. In this paper we will critically examine this claim. First, we identify the received view on models and their aims in molecular biology. Models in molecular biology are mechanistic and explanatory. Next, we identify the scope and aims of data science (machine learning in (...)
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  15. Bold because humble, humble because bold. Yann LeCun's path.Giovanni Landi - 2022 - Www.Intelligenzaartificialecomefilosofia.Com.
  16. From Explanation to Recommendation: Ethical Standards for Algorithmic Recourse.Emily Sullivan & Philippe Verreault-Julien - forthcoming - Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society (AIES’22).
    People are increasingly subject to algorithmic decisions, and it is generally agreed that end-users should be provided an explanation or rationale for these decisions. There are different purposes that explanations can have, such as increasing user trust in the system or allowing users to contest the decision. One specific purpose that is gaining more traction is algorithmic recourse. We first pro- pose that recourse should be viewed as a recommendation problem, not an explanation problem. Then, we argue that the capability (...)
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  17. For the record: the evolution of acceptable digital technology.Simon Rogerson - 2021 - Journal of Information, Communication and Ethics in Society 19 (4):425-432.
    This is an analysis of JICES, a journal that, for 19 years, has captured, for the record, the broader issues surrounding digital technology and how these might be addressed; thus, resulting in acceptable digital technology. Established and up and coming scholars in the field need to be provided with supportive avenues to share their views and ideas of how to realise ethical digital technology. JICES continues to have a key role to play in this.
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  18. Arithmetic logical Irreversibility and the Halting Problem (Revised and Fixed version).Yair Lapin - manuscript
    The Turing machine halting problem can be explained by several factors, including arithmetic logic irreversibility and memory erasure, which contribute to computational uncertainty due to information loss during computation. Essentially, this means that an algorithm can only preserve information about an input, rather than generate new information. This uncertainty arises from characteristics such as arithmetic logical irreversibility, Landauer's principle, and memory erasure, which ultimately lead to a loss of information and an increase in entropy. To measure this uncertainty and loss (...)
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  19. Natural morphological computation as foundation of learning to learn in humans, other living organisms, and intelligent machines.Gordana Dodig-Crnkovic - 2020 - Philosophies 5 (3):17-32.
    The emerging contemporary natural philosophy provides a common ground for the integrative view of the natural, the artificial, and the human-social knowledge and practices. Learning process is central for acquiring, maintaining, and managing knowledge, both theoretical and practical. This paper explores the relationships between the present advances in understanding of learning in the sciences of the artificial, natural sciences, and philosophy. The question is, what at this stage of the development the inspiration from nature, specifically its computational models such as (...)
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  20. Techno-Telepathy & Silent Subvocal Speech-Recognition Robotics.Virgil W. Brower - 2021 - HORIZON. Studies in Phenomenology 10 (1):232-257.
    The primary focus of this project is the silent and subvocal speech-recognition interface unveiled in 2018 as an ambulatory device wearable on the neck that detects a myoelectrical signature by electrodes worn on the surface of the face, throat, and neck. These emerge from an alleged “intending to speak” by the wearer silently-saying-something-to-oneself. This inner voice is believed to occur while one reads in silence or mentally talks to oneself. The artifice does not require spoken sounds, opening the mouth, or (...)
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  21. Insights in How Computer Science can be a Science.Robert W. P. Luk - 2020 - Science and Philosophy 8 (2):17-46.
    Recently, information retrieval is shown to be a science by mapping information retrieval scientific study to scientific study abstracted from physics. The exercise was rather tedious and lengthy. Instead of dealing with the nitty gritty, this paper looks at the insights into how computer science can be made into a science by using that methodology. That is by mapping computer science scientific study to the scientific study abstracted from physics. To show the mapping between computer science and physics, we need (...)
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  22. Big data in the experimental life sciences: Bruno J. Strasser: Collecting experiments: Making big data biology. Chicago: The University of Chicago Press, 2019, 392 pp, $45.00. [REVIEW]Emanuele Ratti - 2020 - Metascience 29 (3):403-408.
  23. What kind of novelties can machine learning possibly generate? The case of genomics.Emanuele Ratti - 2020 - Studies in History and Philosophy of Science Part A 83:86-96.
    Machine learning (ML) has been praised as a tool that can advance science and knowledge in radical ways. However, it is not clear exactly how radical are the novelties that ML generates. In this article, I argue that this question can only be answered contextually, because outputs generated by ML have to be evaluated on the basis of the theory of the science to which ML is applied. In particular, I analyze the problem of novelty of ML outputs in the (...)
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  24. Turing and the Computer.Jack Copeland & Diane Proudfoot - 2012 - In Jack Copeland & Others (eds.), Alan Turing's Electronic Brain: The Struggle to Build the Ace, the World's Fastest Computer. Oxford and New York: pp. 107-148.
  25. Unrealistic models for realistic computations: how idealisations help represent mathematical structures and found scientific computing.Philippos Papayannopoulos - 2020 - Synthese 199 (1-2):249-283.
    We examine two very different approaches to formalising real computation, commonly referred to as “Computable Analysis” and “the BSS approach”. The main models of computation underlying these approaches—bit computation and BSS, respectively—have also been put forward as appropriate foundations for scientific computing. The two frameworks offer useful computability and complexity results about problems whose underlying domain is an uncountable space. Since typically the problems dealt with in physical sciences, applied mathematics, economics, and engineering are also defined in uncountable domains, it (...)
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  26. Blockchain as a medium for transindividual collective.Juho Rantala - 2019 - Culture, Theory, and Critique 60 (3–4):1–14.
    Today, digitalisation is penetrating every corner of our mundane life, thus affecting our being in manifold ways. In spite of this, digital technologies provide us with paths towards advancing humanity. One way to model the possibilities of the new technologies in a sustainable way is to frame them in light of Gilbert Simondon’s philosophy and especially his understanding of ‘transindividuality’, which is the foundation for a robust, evolving collective. The transindividual relation, mediated by technical objects, is the possibility of a (...)
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  27. On the Foundations of Computing.Giuseppe Primiero - 2019 - Oxford University Press.
    Computing, today more than ever before, is a multi-faceted discipline which collates several methodologies, areas of interest, and approaches: mathematics, engineering, programming, and applications. Given its enormous impact on everyday life, it is essential that its debated origins are understood, and that its different foundations are explained. On the Foundations of Computing offers a comprehensive and critical overview of the birth and evolution of computing, and it presents some of the most important technical results and philosophical problems of the discipline, (...)
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  28. Phronesis and Automated Science: The Case of Machine Learning and Biology.Emanuele Ratti - 2019 - In Fabio Sterpetti & M. Bertolaso (eds.), Will Science Remain Human? Springer.
    The applications of machine learning and deep learning to the natural sciences has fostered the idea that the automated nature of algorithmic analysis will gradually dispense human beings from scientific work. In this paper, I will show that this view is problematic, at least when ML is applied to biology. In particular, I will claim that ML is not independent of human beings and cannot form the basis of automated science. Computer scientists conceive their work as being a case of (...)
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  29. Cognitive Computation sans Representation.Paul Schweizer - 2017 - In Thomas Powers (ed.), Philosophy and Computing: Essays in epistemology, philosophy of mind, logic, and ethics,. Cham, Switzerland: Springer. pp. 65-84.
    The Computational Theory of Mind (CTM) holds that cognitive processes are essentially computational, and hence computation provides the scientific key to explaining mentality. The Representational Theory of Mind (RTM) holds that representational content is the key feature in distinguishing mental from non-mental systems. I argue that there is a deep incompatibility between these two theoretical frameworks, and that the acceptance of CTM provides strong grounds for rejecting RTM. The focal point of the incompatibility is the fact that representational content is (...)
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  30. Remarks on logic for process descriptions in ontological reasoning: A Drug Interaction Ontology case study.Mitsuhiro Okada, Barry Smith & Yutaro Sugimoto - 2008 - In InterOntology. Proceedings of the First Interdisciplinary Ontology Meeting, Tokyo, Japan, 26-27 February 2008. Tokyo: Keio University Press. pp. 127-138.
    We present some ideas on logical process descriptions, using relations from the DIO (Drug Interaction Ontology) as examples and explaining how these relations can be naturally decomposed in terms of more basic structured logical process descriptions using terms from linear logic. In our view, the process descriptions are able to clarify the usual relational descriptions of DIO. In particular, we discuss the use of logical process descriptions in proving linear logical theorems. Among the types of reasoning supported by DIO one (...)
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  31. The Theory of Chaos. [REVIEW]Steven James Bartlett - 1988 - Methodology and Science: Interdisciplinary Journal for the Empirical Study of the Foundations of Science and Their Methodology 21 (4):300-303.
    A review of James Glieck's _Chaos: Making a New Science_, noting how nonmonotonic functions self-referentially take on their own values and lead to complexity without randomness.
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  32. Building a global infrastructure.Michael Lynch - 1995 - Studies in History and Philosophy of Science Part A 26 (1):167-172.
  33. 1.1 Grundlagen programmgesteuerter Maschinen.Klaus Mainzer - 1994 - In Computer - Neue Flügel des Geistes?: Die Evolution Computergestützter Technik, Wissenschaft, Kultur Und Philosophie. De Gruyter. pp. 27-102.
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  34. L'Internet et ses représentations.Daniel Parrochia - 2007 - Rue Descartes 55 (1):10-20.
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  35. Denial jamming attacks on wireless sensor network using sensitive agents.Camelia-M. Pintea, Petrică C. Pop & Ioana Zelina - 2016 - Logic Journal of the IGPL 24 (1).
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  36. Women and Computer Engineering: The Case of the School of Computer Science at the Technical University of Madrid.Verónica Sanz - 2008 - Arbor 184 (733).
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  37. The Open Knowledge Society: A Computer Science and Information Systems Manifesto.Lytras M. D. (ed.) - 2008 - Springer.
  38. Interaction and resistance: The recognition of intentions in new human-computer interaction.Vincent C. Müller - 2011 - In Anna Esposito, Antonietta M. Esposito, Raffaele Martone, Vincent C. Müller & Gaetano Scarpetta (eds.), Towards autonomous, adaptive, and context-aware multimodal interfaces: Theoretical and practical issues. Springer. pp. 1-7.
    Just as AI has moved away from classical AI, human-computer interaction (HCI) must move away from what I call ‘good old fashioned HCI’ to ‘new HCI’ – it must become a part of cognitive systems research where HCI is one case of the interaction of intelligent agents (we now know that interaction is essential for intelligent agents anyway). For such interaction, we cannot just ‘analyze the data’, but we must assume intentions in the other, and I suggest these are largely (...)
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  39. @legion #WeAreMany: Sorcery on the Internet.Blanka Earhart - 2012 - Technoetic Arts 10 (1):87-92.
    Day to day, we are used to living in a world of beings with well-defined edges. This world is ruled by dialectical modes of engagement that reinforce the individual being in the context of other beings. Concepts like the Freudian Other serve to confirm the place and the boundaries of a subject. Congruently, reaching beyond the reality, myths negotiate the relationship of the individual with the sublime. The dialectically conceived world does not provide a sufficiently complex conceptualization of our existence (...)
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  40. Power Structures On The Internet.A. J. Pollard & Adam Vile - 1998 - Semiotics:198-212.
  41. Politics of Internet.Michael Roberts - 1993 - Semiotics:90-98.
  42. Demarcating Computer Science.Dana Burkart - unknown
    Despite its relative youth, computer science has become a well-established discipline, granting over 2% of the bachelors degrees in the United States (U.S. Department of Education, 2010). For this reason, it is important that we understand the nature of computer science and the likely direction for the development of inquiry in computer science in the future. This paper examines several perspectives on the nature of the methods of computer science inquiry. These are empiricist methods, rationalist methods, and an engineering stance. (...)
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  43. Beyond positivism in computer science.Markus Luczak-Rösch - unknown
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  44. Power and the internet.Vittorio Bertola - 2010 - Journal of Information, Communication and Ethics in Society 8 (4):323-337.
    PurposeStarting from the end‐to‐end principle, a founding element of the internet's technical architecture, the paper aims to discuss its extension and effects at the social level. It shows how the internet moves power from governments and private entities to individual citizens, restructuring our societies and creating a new global stakeholder class – individual users of the internet. It connects the advent of this stakeholder class with a traditional principle of internet governance, “rough consensus”. It discusses advantages and risks of this (...)
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  45. Investigating internet usage as innovation adoption: a quantitative study.Prodromos D. Chatzoglou & Eftichia Vraimaki - 2010 - Journal of Information, Communication and Ethics in Society 8 (4):338-363.
    PurposeThe purpose is to study Rogers' Diffusion of Innovations theory in a real‐life context, where it is exposed to the full range of complexities of people residing in a specific area and to briefly describe basically non‐work information needs and sources selected to access it.Design/methodology/approachThe relationships between personality and communication behaviour, socio‐economic characteristics and internet adoption, based on Rogers' theory are investigated.FindingsResults from 150 households suggest younger people and individuals with more formal education have increased information needs and are more (...)
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  46. Designing trust with software agents: A case study.Stijn Bernaer, Martin Meganck, Greet Vanden Berghe & Patrick De Causmaecker - 2006 - Journal of Information, Communication and Ethics in Society 4 (1):37-48.
    In this paper, we will address anonymity, privacy and trust issues that arise during the research on a communication platform for multi-modal transport. Though most logistic information is currently available in electronic form, it is not widely accessible yet to all the parties concerned with transport. The major goal of a communication platform is to improve the conditions for exchanging information, which should lead to better organisation/collaboration within the transport sector. We need to merit credibility by faithfully modelling all the (...)
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  47. The emancipatory role of information and communication technology.Farid Shirazi - 2010 - Journal of Information, Communication and Ethics in Society 8 (1):57-84.
    PurposeThe purpose of this paper is to investigate the effect of internet filtering, and its impact on marginalized groups including non‐governmental organizations, female activists, ethnic, and religious minorities, the younger generation and the increase of the digital divide in Iran.Design/methodology/approachThe paper raises two main questions: to what extent do information and communications technologies and in particular, the internet, promote freedom of speech, and gender equality in Iran? What is the impact of state censorship and ICT filtering on these activities? To (...)
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  48. E-topia as Cosmopolis or Citadel: On the Democratizing and De-democratizing Logics of the Internet, or, Toward a Critique of the New Technological Fetishism.Martin Hand & Barry Sandywell - 2002 - Theory, Culture and Society 19 (1):197-225.
    We present a critical appraisal of the impact of the Internet upon processes of democratization and de-democratization in contemporary society. We review accounts of `the information revolution' as these have become polarized into mutually exclusive rhetorics of future cosmopolitan or citadellian e-topias. We question the Manichean assumptions common to both rhetorics: particularly the fetishism of information technology as an intrinsically democratizing or de-democratizing force on societies. In opposition to this new technological fetishism we focus upon Internet historicity; the human/machine nexus; (...)
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  49. La pêche aux internautes.Josiane JouËt - 2003 - Hermes 37:203-211.
    Après avoir questionné l'application de la notion d'audience à Internet, l'article se livre à une analyse critique des dispositifs de mesures et d'études d'audience qui reposent sur un agencement d'outils informatiques, statistiques et marketing. Les mesures de trafic et les enquêtes en ligne ne sont pas tant conçues pour la connaissance des publics que comme outils stratégiques pour la conception de site, la publicité et le commerce électronique. Outre les enjeux déontologiques soulevés par l'exploitation des traces laissées par les internautes, (...)
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  50. A reading on de-territorialization's works of art for the Internet: places, localities and the Internet as a territory.R. Claudia Sandoval - 2010 - Technoetic Arts 8 (2):237-242.
    This article proposes to build up a relation between living conditions and the possibilities the Internet is offering to dream about new territories and transgressions. The Internet as the space to trespass physical frontiers; a media used for artists to question geo-political boundaries and to create new meeting points.
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