Social epistemic cognition in online interactions

Document Type

Book chapter

Source Publication

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14)

Publication Date

2014

Abstract

Social media and online social networks dramatically change the way in which knowledge is acquired and disseminated. How do we re-understand about human knowledge and knowing? This work aims at extending the current understanding of human epistemic cognition in online social environments, where epistemic cognition refers to cognitions and cognitive processes related to epistemic matters such as knowledge and beliefs justification. We approach our inquiry with mixed methods: (1) quantitative study to test whether epistemic cognition might differ in individual and social contexts, and whether online interactions might mediate the later; and (2) social cognitive task analysis with interviews to manifest the intricate interplay of dynamics between social epistemic cognition and online interactions. We introduce the new construct of social epistemic cognition and contribute to the field of HCI with an evolved theory which states that epistemic cognition can be promoted in online social environments as mediated by online interactions.

DOI

10.1145/2556288.2556977

Publisher Statement

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted.

ACM New York, NY, USA ©2014

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Additional Information

ISBN of the source publication: 9781450324731

Full-text Version

Publisher’s Version

Language

English

Recommended Citation

Chan, R. Y. Y., Li, S. and Hui, D. (2014) Social epistemic cognition in online interactions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14). ACM, New York, NY, USA, pp. 3289-3298. DOI: 10.1145/2556288.2556977

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