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Abstract

In this book, Ronald Day offers a critical history of the modern tradition of documentation. Focusing on the documentary index (understood as a mode of social positioning), and drawing on the work of the French documentalist Suzanne Briet, Day explores the understanding and uses of indexicality. He examines the transition as indexes went from being explicit professional structures that mediated users and documents to being implicit infrastructural devices used in everyday information and communication acts. Doing so, he also traces three epistemic eras in the representation of individuals and groups, first in the forms of documents, then information, then data. Day investigates five cases from the modern tradition of documentation. He considers the socio-technical instrumentalism of Paul Otlet, "the father of European documentation" (contrasting it to the hermeneutic perspective of Martin Heidegger); the shift from documentation to information science and the accompanying transformation of persons and texts into users and information; social media's use of algorithms, further subsuming persons and texts; attempts to build android robots -- to embody human agency within an information system that resembles a human being; and social "big data" as a technique of neoliberal governance that employs indexing and analytics for purposes of surveillance. Finally, Day considers the status of critique and judgment at a time when people and their rights of judgment are increasingly mediated, displaced, and replaced by modern documentary techniques.

Footnote

Vgl. auch den Beitrag: Day, R.E.: An afterword to indexing it all: the subject in the age of documentation, information, and data. In: Bulletin of the Association for Information Science and Technology. 42(2016) no.2, S.25-28. Rez. in: JASIST 67(2016) no.7, S.1784-1786 (H.A. Olson).

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Abstract

An argument that information exists at different levels of analysis-syntactic, semantic, and pragmatic-and an exploration of the implications. Although this is the Information Age, there is no universal agreement about what information really is. Different disciplines view information differently; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches. In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information: syntactic, semantic, pragmatic, and network-based. Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon and Andrey Kolomogorov, Fred Dretske's description of information flow, and ideas on receiver impact and informational interactions. Badia argues that all these theories describe the same phenomena from different perspectives, each one narrower than the previous one. The syntactic approach is the more general one, but it fails to specify when information is meaningful to an agent, which is the focus of the semantic and pragmatic approaches. The network-based approach, meanwhile, provides a framework to understand information use among agents. Badia then explores the consequences of understanding information as existing at several levels. Humans live at the semantic and pragmatic level (and at the network level as a society), computers at the syntactic level. This sheds light on some recent issues, including "fake news" (computers cannot tell whether a statement is true or not, because truth is a semantic notion) and "algorithmic bias" (a pragmatic, not syntactic concern). Humans, not computers, the book argues, have the ability to solve these issues.

Content

Introduction -- Information as codes : Shannon, Kolmogorov and the start of it all -- Information as content : semantics, possible worlds and all that jazz -- Information as pragmatics : impact and consequences -- Information as communication : networks and the phenomenon of emergence -- Will the real information please stand up? -- Is Shannon's theory a theory of information? -- Computers and information I : what can computers do? -- Computers and information II : machine learning, big data and algorithic bias -- Humans and information --Conclusions : where from here?

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Content

Semantic information and the network theory of account. Introduction ; The nature of the upgrading problem : mutual independence ; Solving the upgrading problem : the network theory of account ; Advantages of a network theory of account ; Testing the network theory of account -- Consciousness, agents, and the knowledge game. Introduction ; The knowledge game ; The first and classic version of the knowledge game : externally inferable states ; The second version of the knowledge game ; The third version of the knowledge game ; The fourth version of the knowledge game ; Dretske's question and the knowledge game -- Against digital ontology. Introduction ; What is digital ontology : It from bit ; The thought experiment ; Three objections and replies -- A defense of informational structural realism. Introduction ; First step : ESR and OSR are not compatible ; Second step : Relata are not logically prior to all relations ; Third step : the concept of a structural object is not empty ; Informational structural realism ; Ten objections and replies.