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  • × language_ss:"e"
  • × theme_ss:"Information"
  1. Budd, J.M.; Raber, D.: Discourse analysis : methods and application in the study of information (1996) 0.03
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    Abstract
    Library and information science (LIS) is a discipline based on communication. Research questions in LIS include those focusing on the retrieval use of information, information services, and information technology. Moreover, the questions asked and the thought relevant to the study of information are communicated formally within the profession primarily through the literature. This sensitivity to communication suggests that discourse analysis has the advantage of being able to address questions regarding both spoken and written communications and so can be applied to matters of articulations of purpose in the field. 2 key elements of language form the heart of discourse analysis: form and function. Applications of discourse analysis to information include investigations of the social, political, and technical uses of the word information as they have implications for theory and practice
    Source
    Information processing and management. 32(1996) no.2, S.217-226
  2. Nahl, D.: Learning the Internet and the structure of information behavior (1998) 0.03
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    Abstract
    Internet use research has focused on user surveys and novice learner studies, using survey, experimental, and ethnographic methods. They share a focus on user-based categories in the affective and cognitve domains. Information behaviour has an affective component that influences the direction of cognitive processing through hierarchically organized goals, characterized by both an individual and a cultural component. Research in human-computer interaction is evolving a user-centred methodology for system design and instruction that focuses on integrating affective and cognitive user variables to increase productivity, creativity, and human growth
    Source
    Journal of the American Society for Information Science. 49(1998) no.11, S.1017-1023
  3. Ford, N.: Modeling cognitive processes in information seeking : from Popper to Pask (2004) 0.03
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    Abstract
    This report explores the intellectual processes entailed during information seeking, as information needs are generated and information is sought and evaluated for relevance. It focuses an the details of cognitive processing, reviewing a number of models. In particular, Popper's model of the communication process between an individual and new information is explored and elaborated from the perspective of Pask's Conversation Theory. The implications of this theory are discussed in relation to the development of what Cole has termed "enabling" information retrieval systems.
    Source
    Journal of the American Society for Information Science and Technology. 55(2004) no.9, S.769-782
  4. Allen, D.: Information behavior and decision making in time-constrained practice : a dual-processing perspective (2011) 0.03
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    Source
    Journal of the American Society for Information Science and Technology. 62(2011) no.11, S.2165-2181
  5. Verdi, M.P.; Kulhavy, R.W.; Stock, W.A.; Rittscho, K.A.; Savenye, W.: Why maps improve memory for text : the influence of structural information on working-memory operations (1993) 0.03
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    Abstract
    In order to test how associated verbal and spatial stimuli are processed in memory, undergraduates studied a reference map as either an intact unit or as a series of individual features, and read a text containing facts related to map features. In Addition, the map was presented either before or after reading the text. Seeing the intact map prior to the text led to better recall of both map information and facts from the text. These results support a dual coding modell, where stimuli such as maps possess a retrieval advantage because they allow simultaneous representation in working memory. This advantage occurs because information from the map can be used to cue retrieval of associated verbal facts, without exceeding the processing constraints of the memorial system
    Date
    22. 7.2000 19:18:18
  6. Fallis, D.: Social epistemology and information science (2006) 0.03
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    Date
    13. 7.2008 19:22:28
    Source
    Annual review of information science and technology. 40(2006), S.xxx-xxx
  7. Miller, G.A.: ¬The magical number, seven plus or minus two : some limits on our capacity for processing information (1956) 0.03
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  8. Liang, T.-Y.: ¬The basic entity model : a theoretical model of information processing, decision making and information systems (1996) 0.03
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    Abstract
    The basic entity model aims to provide information processing with a better theoretical foundation. Human information processing systems are perceived as physical symbol systems. The 4 basic entities that these systems handle are: data, information, knowledge and wisdom. The postulates fundamental to the model are the laws of boundary, interaction, and constructed information systems. The transformation of the basic entities taking place in the model create an information space that contains a set of information states in a particular knowledge domain. The space serves as a platform for decision making. Uses the model to analyze the strucuture of constructed information systems mathematically. Adopts the ontological, deep structure approach
    Source
    Information processing and management. 32(1996) no.4, S.477-487
  9. Brier, S.: ¬The usefulness of cybersemiotics in dealing with problems of knowledge organization and document mediating systems (1996) 0.03
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    Abstract
    This article develops a non-reductionistic and interdisciplinary view of information and human knowing in the light of second-order cybernetics, where information is seen as 'a difference which makes a difference' for a living autopoietic (self-organizing, self-creating) system. Another key idea comes from the semiotics of Peirce: the understanding of signs as a triatic relation between an object, a representation, and an interpretant. Information is the interpretation of signs by living, feeling, aelf-organizing, biological and social systems. As a concrete example we attempt to describe Library and Information Science (LIS) - especially Information Retrieval (IR) - in a way that goes beyond the cognitivist 'information processing paradigm'. The mn problem of this paradigm is that its concept of information and language does not deal in a systematic way with how social and cultural dynamics set the contexts that determine the meaning of those signs and words that are the basic tools for LIS to organize and retrieve documents. The paradigm does not distinguish clearly enough between how the computer manipulate signs and how meaning is generated in autopoietic systems, and thereby the difference between physical and intellectual access
  10. Leydesdorff, L.: ¬The communication of meaning and the structuration of expectations : Giddens' "structuration theory" and Luhmann's "self-organization" (2010) 0.03
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    Abstract
    The communication of meaning as distinct from (Shannon-type) information is central to Luhmann's social systems theory and Giddens' structuration theory of action. These theories share an emphasis on reflexivity, but focus on meaning along a divide between interhuman communication and intentful action as two different systems of reference. Recombining these two theories into a theory about the structuration of expectations, interactions, organization, and self-organization of intentional communications can be simulated based on algorithms from the computation of anticipatory systems. The self-organizing and organizing layers remain rooted in the double contingency of the human encounter, which provides the variation. Organization and self-organization of communication are reflexive upon and therefore reconstructive of each other. Using mutual information in three dimensions, the imprint of meaning processing in the modeling system on the historical organization of uncertainty in the modeled system can be measured. This is shown empirically in the case of intellectual organization as "structurating" structure in the textual domain of scientific articles.
    Source
    Journal of the American Society for Information Science and Technology. 61(2010) no.10, S.2138-2150
  11. San Segundo, R.: ¬A new conception of representation of knowledge (2004) 0.03
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    Abstract
    The new term Representation of knowledge, applied to the framework of electronic segments of information, with comprehension of new material support for information, and a review and total conceptualisation of the terminology which is being applied, entails a review of all traditional documentary practices. Therefore, a definition of the concept of Representation of knowledge is indispensable. The term representation has been used in westere cultural and intellectual tradition to refer to the diverse ways that a subject comprehends an object. Representation is a process which requires the structure of natural language and human memory whereby it is interwoven in a subject and in conscience. However, at the present time, the term Representation of knowledge is applied to the processing of electronic information, combined with the aim of emulating the human mind in such a way that one has endeavoured to transfer, with great difficulty, the complex structurality of the conceptual representation of human knowledge to new digital information technologies. Thus, nowadays, representation of knowledge has taken an diverse meanings and it has focussed, for the moment, an certain structures and conceptual hierarchies which carry and transfer information, and has initially been based an the current representation of knowledge using artificial intelligence. The traditional languages of documentation, also referred to as languages of representation, offer a structured representation of conceptual fields, symbols and terms of natural and notational language, and they are the pillars for the necessary correspondence between the object or text and its representation. These correspondences, connections and symbolisations will be established within the electronic framework by means of different models and of the "goal" domain, which will give rise to organisations, structures, maps, networks and levels, as new electronic documents are not compact units but segments of information. Thus, the new representation of knowledge refers to data, images, figures and symbolised, treated, processed and structured ideas which replace or refer to documents within the framework of technical processing and the recuperation of electronic information.
    Date
    2. 1.2005 18:22:25
  12. Fuchs-Kittowski, K.: The influence of philosophy on the understanding of computing and information (2014) 0.03
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    Abstract
    What we consider to be the influence of philosophy on scientific thinking largely depends on how science perceives itself. The understanding and conscious human-oriented design of the relationship between the computer and the creatively active person - i.e. the design of a formal model and the non-formal, natural and social environment - is always more readily recognized as the fundamental philosophical, theoretical and methodological problem of informatics (computer science and information systems). Informatics/computer science results from the necessity to overcome the tension between technology-based automation, which is based on a purely syntactic interpretation and transformation of information, and creative and active people who carry out semantic information processing based on their knowledge. It is this tension that requires the development and use of user-oriented software and the formal operations to be integrated into complex human work processes. Conceptual strategies that foster the development and integration of modern information technologies into social organization are currently the topic of vivid philosophical and methodological discussions, reflecting the influence of different philosophical schools. The utilization of information technologies has significantly changed both employee working conditions and the relationship between organizations and their environment. The development of humanity-oriented computer science is a necessary condition for integrating computational systems into social contexts and for largely adapting these systems to the users' needs.
    Source
    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
  13. Metcalfe, J.; Shimamura, A.P.: Metacognition : knowing about knowing (1994) 0.02
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    Footnote
    Rez. in: Information processing and management 31(1995) no.2, S.261-262 (B. Allen)
  14. Branscomb, A.W.: Who owns information? : from privacy to public access (1994) 0.02
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    Footnote
    Rez. in: College and research libraries 56(1995) no.2, S.186-188 (J. Larson); Information processing and management 33(1997) no.3, S.408-409 (P. Doty)
  15. Allen, B.L.: Information tasks : toward a user-centred approach to information systems (1996) 0.02
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    Footnote
    Rez in: Information processing and management 33(1997) no.6, S.807 (P. Borlund)
  16. Cole, C.; Mandelblatt, B.: Using Kintsch's discourse comprehension theory to model the user's coding of an informative message from an enabling information retrieval system (2000) 0.02
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    Abstract
    With new interactive technology, information science can use its traditional information focus to increase user satisfaction by designing information retrieval systems (IRSs) that inform the user about her task, and help the user get the task done, while the user is on-line interacting with the system. By doing so, the system enables the user to perform the task for which the information is being sought. In previous articles, we modeled the information flow and coding operations of a user who has just received an informative IRS message, dividing the user's processing of the IRS message into three subsystem levels. In this article, we use Kintsch's proposition-based construction-integration theory of discourse comprehension to further detail the user coding operations that occur in each of the three subsystems. Our enabling devices are designed to facilitate a specific coding operation in a specific subsystem. In this article, we describe an IRS device made up of two separate parts that enable the user's (1) decoding and (2) encoding of an IRS message in the Comprehension subsystem
    Source
    Journal of the American Society for Information Science. 51(2000) no.11, S.1033-1046
  17. Bates, M.J.: Information and knowledge : an evolutionary framework for information science (2005) 0.02
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    Abstract
    Many definitions of information have been suggested throughout the history of information science. In this essay, the objective has been to provide a definition that is usable for the physical, biological and social meanings of the term, covering the various senses important to our field. Information has been defined as the pattern of organization of matter and energy. Information is everywhere except where there is total entropy. Living beings process, organize and ascribe meaning to information. Some pattern of organization that has been given meaning by a living being has been defined as information 2, while the above definition is information 1, when it is desirable to make the distinction. Knowledge has been defined as information given meaning and integrated with other contents of understanding. Meaning itself is rooted ultimately in biological survival. In the human being, extensive processing space in the brain has made possible the generation of extremely rich cultural and interpersonal meaning, which imbues human interactions. (In the short term, not all meaning that humans ascribe to information is the result of evolutionary processes. Our extensive brain processing space also enables us to hold beliefs for the short term that, over the long term, may actually be harmful to survival.) Data 1 has been defined as that portion of the entire information environment (including internal inputs) that is taken in, or processed, by an organism. Data 2 is that information that is selected or generated and used by human beings for research or other social purposes. This definition of information is not reductive--that is, it does not imply that information is all and only the most microscopic physical manifestation of matter and energy. Information principally exists for organisms at many emergent levels. A human being, for example, can see this account as tiny marks on a piece of paper, as letters of the alphabet, as words of the English language, as a sequence of ideas, as a genre of publication, as a philosophical position and so on. Thus, patterns of organization are not all equal in the life experience of animals. Some types of patterns are more important, some less so. Some parts of patterns are repetitive and can be compressed in mental storage. As mental storage space is generally limited and its maintenance costly to an animal, adaptive advantage accrues to the species that develops efficient storage. As a result, many species process elements of their environment in ways efficient and effective for their particular purposes; that is, as patterns of organization that are experienced as emergent wholes. We see a chair as a chair, not only as a pattern of light and dark. We see a string of actions by a salesperson as bait and switch, not just as a sequence of actions. We understand a series of statements as parts of a whole philosophical argument, not just as a series of sentences. The understanding of information embraced here recognizes and builds on the idea that these emergent wholes are efficient for storage and effective for the life purposes of human beings as successful animals (to date) on our planet. Thus, people experience their lives in terms of these emergent objects and relations, for the most part. Likewise, information is stored in retrieval systems in such a way that it can be represented to human beings in their preferred emergent forms, rather than in the pixels or bits in which the information is actually encoded within the information system.
    Content
    Auch unter: http://InformationR.net/ir/10-4/paper239.html. - Vgl. Erwiderung: Hjoerland, B.: The controversy over the concept of information: a rejoinder to Professor Bates. In: Journal of the American Society for Information Science and Technology. 60(2009) no.3, S.643.
  18. Cole, C.: Interaction with an enabling information retrieval system : modeling the user's decoding and encoding operations (2000) 0.02
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    Abstract
    With new interactive technology, we can increase user satisfaction by designing information retrieval systems that inform the user while the user is on-line interacting with the system. The purpose of this article is to model the information processing operations of a generic user who has just received an information message from the system and is stimulated by the message into grasping at a higher understanding of his or her information task or problem. The model consists of 3 levels, each of which forms a separate subsystem. In the Perseption subsystem, the user perceives the system message in a visual sense; in the Comprehension subsystem, the user must comprehend the system message; and in the Application subsystem, the user must (a) interpret the system message in terms of the user's task at hand, and (b) create and send a new message back to the system to complete the interaction. Because of the information process stimulated by the interaction, the user's new message forms a query to the system that more accurately represents the user's information need than would have been the case if the interaction had not taken place. This article proposes a device to enable clarification of the user's task, and thus his/her information need at the Application subsystem level of the model
    Source
    Journal of the American Society for Information Science. 51(2000) no.5, S.417-426
  19. Madden, A.D.: Interpreting the world across a boundary : the evolution of information from life's first decisions to the information society (2014) 0.02
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    Abstract
    Purpose - The purpose of this paper is to examine the association between information and boundaries. Life depends on boundaries; but in order to survive an organism needs to make decisions based on an interpretation of the environment beyond its boundaries: it therefore needs information. Design/methodology/approach - The paper explores the evolution of physical, social and cultural boundaries and considers how they have shaped ways in which information is gathered and used. Findings - Several evolutionary developments are reviewed. The paper argues that each one has generated an additional boundary and that each new boundary has affected the information needs within it. The paper argues that all living things use information to help address three fundamental concerns: "Where can the energy needed to stay alive be found?", "How can it be stored?", and "How can use of energy be reduced?" Because these questions are fundamental at a biological level they are also fundamental at a societal level. One way to increase energy efficiency was for organisms to grow larger. This brought risks which were alleviated by the evolution of better information gathering and processing tools. Amongst these tools were the means to communicate, which afforded the evolution of social boundaries. Originality/value - This is a new perspective on a topic of growing interest in information science and demonstrates further the significance of information as a factor in the shaping of life.
  20. Rubin, V.L.: Disinformation and misinformation triangle (2019) 0.02
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    Abstract
    Purpose The purpose of this paper is to treat disinformation and misinformation (intentionally deceptive and unintentionally inaccurate misleading information, respectively) as a socio-cultural technology-enabled epidemic in digital news, propagated via social media. Design/methodology/approach The proposed disinformation and misinformation triangle is a conceptual model that identifies the three minimal causal factors occurring simultaneously to facilitate the spread of the epidemic at the societal level. Findings Following the epidemiological disease triangle model, the three interacting causal factors are translated into the digital news context: the virulent pathogens are falsifications, clickbait, satirical "fakes" and other deceptive or misleading news content; the susceptible hosts are information-overloaded, time-pressed news readers lacking media literacy skills; and the conducive environments are polluted poorly regulated social media platforms that propagate and encourage the spread of various "fakes." Originality/value The three types of interventions - automation, education and regulation - are proposed as a set of holistic measures to reveal, and potentially control, predict and prevent further proliferation of the epidemic. Partial automated solutions with natural language processing, machine learning and various automated detection techniques are currently available, as exemplified here briefly. Automated solutions assist (but not replace) human judgments about whether news is truthful and credible. Information literacy efforts require further in-depth understanding of the phenomenon and interdisciplinary collaboration outside of the traditional library and information science, incorporating media studies, journalism, interpersonal psychology and communication perspectives.

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