Jack Andersen

Bio: Jack Andersen is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Knowledge organization & Body of knowledge. The author has an hindex of 14, co-authored 38 publications receiving 601 citations.

Communicative actions we live by: The problem with fact-checking, tagging or flagging fake news – the case of Facebook:

Abstract: In this article, we question the efforts undertaken by Facebook in regard to fact-checking, tagging, and flagging instances or appearances of fake news. We argue that in a global world of communica...

Archiving, ordering, and searching: search engines, algorithms, databases, and deep mediatization:

Abstract: This article argues that search engines, algorithms, and databases can be considered as a way of understanding deep mediatization They are embedded in a variety of social and cultural practices, a

Developing the library: Between efficiency, accountability and forms of recognition

Abstract: Purpose – The purpose of this article is to examine and critique the dominant new public management (NPM)‐mode of thinking in library development.Design/methodology/approach – The authors examine the Danish Library Act from 2000 and a library policy from the municipal library of Aarhus in Denmark in order to show how they respectively display new public management thinking and handle pathologies of recognition.Findings – The Danish Library Act from 2000 reflects an economic discourse which makes it hard for libraries to develop any normatively grounded agenda. The library policy from the municipal library of Aarhus reveals that it intends to deal with handling recognition but actually does the opposite.Research limitations/implications – The context surrounding libraries and library development is becoming more political than ever. User groups are more diverse than ever and some do not even feel as being part of society. If libraries are to cope with this situation, they must try to work with the concept ...

Documents and the communication of scientific and scholarly information: Revising and updating the UNISIST model

Abstract: In 1971 UNISIST proposed a model for scientific and technical communication. This model has been widely cited and additional models have been added to the literature. There is a need to bring this model to the focus of information science (IS) research as well as to update and revise it. There are both empirical and theoretical reasons for this need. On the empirical side much has happened in the developments of electronic communication that needs to be considered. From a theoretical point of view the domain‐analytic view has proposed that differences between different disciplines and domains should be emphasised. The original model only considered scientific and technical communication as a whole. There is a need both to compare with the humanities and social sciences and to regard internal differences in the sciences. There are also other reasons to reconsider and modify this model today. Offers not only a descriptive model, but also a theoretical perspective from which information systems may be unders...

The role of subject literature in scholarly communication: An interpretation based on social epistemology

Abstract: In this article an epistemological interpretation of the role of subject literature in scholarly communication shall be proposed. Such an interpretation will focus on the epistemological dimension of communicating knowledge through literature and how this is achieved through discursive and rhetorical means. It will be argued that library and information science (LIS) theory on scholarly communication can be supplemented and strengthened by this interpretation. By establishing a social epistemology of subject literature the article contributes with a sketch of a coherent theory of scholarly literature explaining the epistemological and communicative division of labor between the various types of subject literature. Such a theory is in line with the current revival of social epistemology in LIS. The article is structured into three main sections. The first section will outline an epistemological position that pays particular attention to knowledge acquired through social interaction in general, and through interaction with written texts in particular. The works of the later Wittgenstein and Ludwik Fleck will be used as the theoretical frameworks. Having established this epistemological framework, the second section will outline what is considered to be the main types of subject literature, with emphasis on their discursive and rhetorical functions in scholarly communication. The third section will synthesize the two other sections into a sketch of a theory that will be labeled the social epistemology of subject literature and point to some implications for LIS research of this theory.

Machine learning

Abstract: Machine Learning is the study of methods for programming computers to learn. Computers are applied to a wide range of tasks, and for most of these it is relatively easy for programmers to design and implement the necessary software. However, there are many tasks for which this is difficult or impossible. These can be divided into four general categories. First, there are problems for which there exist no human experts. For example, in modern automated manufacturing facilities, there is a need to predict machine failures before they occur by analyzing sensor readings. Because the machines are new, there are no human experts who can be interviewed by a programmer to provide the knowledge necessary to build a computer system. A machine learning system can study recorded data and subsequent machine failures and learn prediction rules. Second, there are problems where human experts exist, but where they are unable to explain their expertise. This is the case in many perceptual tasks, such as speech recognition, hand-writing recognition, and natural language understanding. Virtually all humans exhibit expert-level abilities on these tasks, but none of them can describe the detailed steps that they follow as they perform them. Fortunately, humans can provide machines with examples of the inputs and correct outputs for these tasks, so machine learning algorithms can learn to map the inputs to the outputs. Third, there are problems where phenomena are changing rapidly. In finance, for example, people would like to predict the future behavior of the stock market, of consumer purchases, or of exchange rates. These behaviors change frequently, so that even if a programmer could construct a good predictive computer program, it would need to be rewritten frequently. A learning program can relieve the programmer of this burden by constantly modifying and tuning a set of learned prediction rules. Fourth, there are applications that need to be customized for each computer user separately. Consider, for example, a program to filter unwanted electronic mail messages. Different users will need different filters. It is unreasonable to expect each user to program his or her own rules, and it is infeasible to provide every user with a software engineer to keep the rules up-to-date. A machine learning system can learn which mail messages the user rejects and maintain the filtering rules automatically. Machine learning addresses many of the same research questions as the fields of statistics, data mining, and psychology, but with differences of emphasis. Statistics focuses on understanding the phenomena that have generated the data, often with the goal of testing different hypotheses about those phenomena. Data mining seeks to find patterns in the data that are understandable by people. Psychological studies of human learning aspire to understand the mechanisms underlying the various learning behaviors exhibited by people (concept learning, skill acquisition, strategy change, etc.).

The archaeology of knowledge

Abstract: We may not be able to make you love reading, but archaeology of knowledge will lead you to love reading starting from now. Book is the window to open the new world. The world that you want is in the better stage and level. World will always guide you to even the prestige stage of the life. You know, this is some of how reading will give you the kindness. In this case, more books you read more knowledge you know, but it can mean also the bore is full.