Search (144 results, page 2 of 8)

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Source

https://www.pwc.de/de/technologie-medien-und-telekommunikation/studie-vertrauen-in-medien.html

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Abstract

This paper is a theoretical analysis of the cognitive free-fall metaphor, used within the cognitive view, as a model for explaining the communication process between a generator and a receiver of a message. Its aim is to demonstrate that the idea of a cognitive free fall taking place within this communication process leads to apparent theoretical paradoxes, partly fostered by unclear definitions of key information-science concepts-namely, tokens, signs, information, and knowledge and their interrelatedness-and a naïve theoretical framework. The paper promotes a semiotically inspired model of communication that demonstrates that what takes place in communication is not a cognitive free fall, but rather a fall from a pragmatic level of knowing or knowledge to a level of representation or information. The paper further argues that the communication process more ideally can be expressed as a complex interrelation of emotion, information, and cognition.

Type

a

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Date

18. 9.2018 12:57:22

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Source

Theories of information, communication and knowledge : a multidisciplinary approach. Eds.: F. Ibekwe-SanJuan u. T.M. Dousa

Type

a

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Abstract

In a new study, computer scientists found that artificial intelligence systems fail a vision test a child could accomplish with ease. "It's a clever and important study that reminds us that 'deep learning' isn't really that deep," said Gary Marcus , a neuroscientist at New York University who was not affiliated with the work. The result takes place in the field of computer vision, where artificial intelligence systems attempt to detect and categorize objects. They might try to find all the pedestrians in a street scene, or just distinguish a bird from a bicycle (which is a notoriously difficult task). The stakes are high: As computers take over critical tasks like automated surveillance and autonomous driving, we'll want their visual processing to be at least as good as the human eyes they're replacing. It won't be easy. The new work accentuates the sophistication of human vision - and the challenge of building systems that mimic it. In the study, the researchers presented a computer vision system with a living room scene. The system processed it well. It correctly identified a chair, a person, books on a shelf. Then the researchers introduced an anomalous object into the scene - an image of elephant. The elephant's mere presence caused the system to forget itself: Suddenly it started calling a chair a couch and the elephant a chair, while turning completely blind to other objects it had previously seen. Researchers are still trying to understand exactly why computer vision systems get tripped up so easily, but they have a good guess. It has to do with an ability humans have that AI lacks: the ability to understand when a scene is confusing and thus go back for a second glance.

Type

a

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Abstract

Can information be objective and/or subjective? Based on Patrick Wilson's notion of public knowledge and a story of a sign on a tree, this paper argues that private information is not the same as subjective information, and that the very communicative process of making information makes information objective. It also argues that the objective sense of information-public knowledge-has been and will be most relevant to information science, hence questions concerning collective responsibility in collecting, preserving, and organizing information shall be considered.

Type

a

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Abstract

Any classification system should be evaluated with respect to a variety of philosophical and practical concerns. This paper explores several distinct issues: the nature of a work, the value of a statement, the contribution of information science to philosophy, the nature of hierarchy, ethical evaluation, pre- versus postcoordination, the lived experience of librarians, and formalization versus natural language. It evaluates a particular approach to classification in terms of each of these but draws general lessons for philosophical evaluation. That approach to classification emphasizes the free combination of basic concepts representing both real things in the world and the relationships among these; works are also classified in terms of theories, methods, and perspectives applied.

Type

a

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Date

8.12.2012 17:22:26

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Abstract

Purpose - This paper aims to examine the relationships between meaning and truth as they may contribute to a constitutive definition of information. The thesis is primarily that "information" cannot be defined unless within the context of meaning and truth, and that any theory based on, or related to, information is not possible without the foundational definition. Design/methodology/approach - A review of related literatures and an arrangement of frameworks forms the design of this conceptual proposal. Findings - While other definitions of information have been presented, the present one integrates meaning and truth in ways that others do not. The thoroughgoing semantic examination provides a starting-point for a much deeper analysis of the integral role that language plays in the formation of any theory related to information. Truth tends not to be spoken of a great deal in information science; the definitional positioning of truth adds to a more complete definition and basis for theory. Originality/value - This paper proposes a new definitional and theoretical construct for information.

Type

a

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Abstract

We provide a model for the reception of knowledge from externalized information sources. The model is based on a cognitive understanding of information processing and draws up ideas of an exchange of information in communication processes. Karl Popper's three-world theory with its orientation on falsifiable scientific knowledge is extended by John Searle's concept of collective intentionality. This allows a consistent description of externalization and reception of knowledge including scientific knowledge as well as everyday knowledge.

Type

a

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Source

Theories of information, communication and knowledge : a multidisciplinary approach. Eds.: F. Ibekwe-SanJuan u. T.M. Dousa

Type

a

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Source

Theories of information, communication and knowledge : a multidisciplinary approach. Eds.: F. Ibekwe-SanJuan u. T.M. Dousa

Type

a

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Abstract

The paper discusses and analyzes the notion of information quality in terms of a pragmatic philosophy of language. It is argued that the notion of information quality is of great importance, and needs to be situated better within a sound philosophy of information to help frame information quality in a broader conceptual light. It is found that much research on information quality conceptualizes information quality as either an inherent property of the information itself, or as an individual mental construct of the users. The notion of information quality is often not situated within a philosophy of information. This paper outlines a conceptual framework in which information is regarded as a semiotic sign, and extends that notion with Paul Grice's pragmatic philosophy of language to provide a conversational notion of information quality that is contextual and tied to the notion of meaning.

Type

a

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Source

Theories of information, communication and knowledge : a multidisciplinary approach. Eds.: F. Ibekwe-SanJuan u. T.M. Dousa

Type

a

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Abstract

A clear line of argument can be set out to link the (passive) intellectual freedom rights offered by Article Nineteen of the United Nations' Universal Declaration on Human Rights, to a consequent responsibility on governments, professionals and civil society activists for the (active) creation of suitable conditions for the effective exercise of intellectual freedom. Commentators on media in society and socially responsible computing are also increasingly drawing conclusions of this kind and stressing the importance of Media Literacy and Computer Literacy. This line of argument naturally directs attention towards the rationale currently offered for Information Literacy as a focus of professional activity. Whilst there are many elaborately worked-out programmes for Information Literacy instruction, these have so far been largely derived from practical perceptions of need. However, broad statements such as the Prague Declaration 'Towards an Information Literate Society' of 2003 and the Alexandria Proclamation of 2005 can be seen as beginning to point towards a rationale for Information Literacy activities rooted in human rights, Article Nineteen in particular. The contention is that starting from a human rights perspective leads towards a strong, inclusive interpretation of Information Literacy. This subsumes Media Literacy, Computer Literacy, Web Literacy and, to a considerable extent, Civic Literacy into a model that serves human needs rather than the established priorities of information professionals. The value of this approach for both practice and research is stressed.

Type

a

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Abstract

Purpose The purpose of this paper is to propose an appropriate symbolic representation, as well as its metaphorical interpretation, to illustrate the special role of information in the knowledge acquisition process. Design/methodology/approach Besides the literature review, this is a speculative study based on a symbolic and metaphorical point of view. Findings The proposed symbolic representation was derived from the conceptual designation of information "as a flow" and, accordingly, by the corresponding redrawing of the data-information-knowledge-wisdom (DIKW) pyramid. The knowledge acquisition process is symbolically represented by the growth of a "tree of knowledge" which is planted on a "data earth," filled with "information sap" and lit by the rays of the "sun of the mind," a new symbol of the concept of wisdom in the DIKW model. As indicated, a key concept of this metaphorical interpretation is the role of "information sap" which rises from the roots of the "tree of knowledge" to the top of the tree and it is recognized as an invisible link between "world of data" and "world of knowledge." This concept is also proposed as a new symbolic representation of the DIKW model. Originality/value On the basis of specific symbolic-metaphorical representation, this paper provides a relatively new concept of information which may help bridge observed gaps in the understanding of information in various scientific fields, as well as in its understanding as an objective or subjective phenomenon.

Type

a

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Abstract

This article reviews results from a research project designed to understand the mediating influence of information technology on information behavior. During the analysis of the data, five modes of information behavior were uncovered. These provide us with a reconceptualization of core information-seeking and search activities, as well as a fruitful opening to redevelop, augment, or complement existing models of information behavior. The findings resonate with emerging theories of decision making and judgement and illustrate the need for information behavior researchers to undertake research in differing contexts. The work illuminates an issue of current concern for public policy: police use of information in decision making.

Type

a

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Abstract

Purpose - The purpose of this paper is to show that uncertainty may be caused not only by a knowledge gap in the mind of a user with respect to a given subject or topic, but also by the various complexities associated with the information seeking and retrieval (IS&R) process in a digital environment. Design/methodology/approach - Both quantitative and qualitative studies were conducted to collect data from users in the higher education sector regarding whether or not they experienced uncertainty in relation to the IS&R process. Analysis: a correlation analysis was undertaken to establish whether there were any relationships between information-seeking activities and information-seeking problems. Findings - The findings of this research show that uncertainty existed at different stages of the IS&R process amongst users. It was established that uncertainty was caused by a number of information-seeking activities and information-seeking problems, and that such uncertainty could continue over the course of successive search sessions, leading to the proposal of a new model of uncertainty. Research limitations/implications - The proposed model of uncertainty should contribute to a better understanding of the issues related to IS&R in a digital environment. Practical implications - A number of benefits could be realised in systems design from the application of this model in terms of reducing the negative impact of uncertainty, while at the same time helping users to gain from the positive aspects of uncertainty in IS&R.
Originality/value - The general consensus is that uncertainty is a mental state of users reflecting a gap in knowledge which triggers an IS&R process, and that the gap is reduced as relevant information is found, and thus that the uncertainty disappears as the search process concludes. However, in the present study it is argued that some form of uncertainty is always associated with some part of the IS&R process and that it also fluctuates throughout the IS&R process. Users may therefore feel uncertain at any stage of the IS&R process and this may be related to: the initial information need and expression of that need, the search process itself, including identification of relevant systems, services and resources; and the assessment of, and reaction to, the results produced by the search process. Uncertainty may be unresolved, or even increase, as the user progresses, often iteratively, through the IS&R process and may remain even after its completion, resulting in what may be called a persistent uncertainty. In other words, this research hypothesises that, in addition to the uncertainty that triggers the information search process (Wilson et al., 2000), users suffer from varying degrees of uncertainty at every stage of the information search and retrieval process, and that in turn, triggers different information-seeking behaviours.

Type

a

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Abstract

Why do some nations prosper while others do not? While economists often turn to measures like GDP or per-capita income to answer this question, interdisciplinary theorist Cesar Hidalgo argues that there is a better way to understand economic success. Instead of measuring the money a country makes, he proposes, we can learn more from measuring a country's ability to make complex products--in other words, the ability to turn an idea into an artifact and imagination into capital. In Why Information Grows, Hidalgo combines the seemingly disparate fields of economic development and physics to present this new rubric for economic growth. He argues that viewing development solely in terms of money and politics is too simplistic to provide a true understanding of national wealth. Rather, we should be investigating what makes some countries more capable than others. Complex products--from films to robots, apps to automobiles--are a physical distillation of an economy's knowledge, a measurable embodiment of the education, infrastructure, and capability of an economy. Economic wealth is about applying this knowledge to turn ideas into tangible products, and the more complex these products, the more economic growth a country will experience. Just look at the East Asian countries, he argues, whose rapid rise can be attributed to their ability to manufacture products at all levels of complexity. A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about wealth and development. In a world where knowledge is quite literally power, Hidalgo shows how we can create societies that are limited by nothing more than their imagination"-- "Why do some nations prosper while others do not? Economists usually turn to measures such as gross domestic product or per capita income to answer this question, but interdisciplinary theorist Cesar Hidalgo argues that we can learn more by measuring a country's ability to make complex products. In Why Information Grows, Hidalgo combines the seemingly disparate fields of economic development and physics to present this new rubric for economic growth. He believes that we should investigate what makes some countries more capable than others. Complex products-from films to robots, apps to automobiles-are a physical distillation of an economy's knowledge, a measurable embodiment of its education, infrastructure, and capability. Economic wealth accrues when applications of this knowledge turn ideas into tangible products; the more complex its products, the more economic growth a country will experience. A radical new interpretation of global economics, Why Information Grows overturns traditional assumptions about the development of economies and the origins of wealth and takes a crucial step toward making economics less the dismal science and more the insightful one."

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Abstract

This article proposes a theory of information need for information retrieval (IR). Information need traditionally denotes the start state for someone seeking information, which includes information search using an IR system. There are two perspectives on information need. The dominant, computer science perspective is that the user needs to find an answer to a well-defined question which is easy for the user to formulate into a query to the system. Ironically, information science's best known model of information need (Taylor, 1968) deems it to be a "black box"-unknowable and nonspecifiable by the user in a query to the information system. Information science has instead devoted itself to studying eight adjacent or surrogate concepts (information seeking, search and use; problem, problematic situation and task; sense making and evolutionary adaptation/information foraging). Based on an analysis of these eight adjacent/surrogate concepts, we create six testable propositions for a theory of information need. The central assumption of the theory is that while computer science sees IR as an information- or answer-finding system, focused on the user finding an answer, an information science or user-oriented theory of information need envisages a knowledge formulation/acquisition system.

Type

a