Epistemology and the Study of Social Information Within the Perspective of a Unified Theory of Information

Part of the Studies in History and Philosophy of Science book series (AUST, volume 34)


Within the framework of the Unified Theory of Information (UTI) developed by the present author, knowledge is a part of social information. More specifically, social information is defined as any information appearing in social, or human, systems.

The study of social information has methodological implications. Its methodology is partly an application of generalisations of findings of the discipline that studies social information – which means it is an application of the theoretical considerations of the discipline to further research – and partly an application of epistemology to the constitution of scientific knowledge in the field – which means it is an application of philosophical considerations to the discipline.

On the other hand, epistemology deals with general features of social information and so needs the feedback from the discipline that studies it.

This chapter shows how epistemology and the study of social information are linked to each other within the perspective of UTI. In the first section, epistemology provides foundations for the methodology of social information studies. This involves discussions of ontological and praxiological issues, the way of transdisciplinary thinking, the relation of explanation and understanding, and semiotic notions. In the second section, these foundations are applied to social information studies. Social information is embedded in an evolution of information-generating processes of self-organising systems. It is this evolution from which meaning originates. It is argued that knowledge is located in the universe of cognitive, communicative, and co-operative information in social systems.


Good Life Social Information Science Perspective Downward Causation Informational Process 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer Science+Business Media B.V. 2014

Authors and Affiliations

  1. 1.Institute for Design and Technology AssessmentVienna University of TechnologyWienAustria

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