Social epistemic cognition in online interactions

Yuen Yan, Rosanna CHAN, Silu LI, Wai Yi, Diane HUI

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)

3 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationProceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14)
PublisherAssociation for Computing Machinery (ACM)
ISBN (Print)9781450324731
DOIs
Publication statusPublished - 1 Jan 2014
EventThe ACM CHI Conference on Human Factors in Computing Systems - Toronto, Canada
Duration: 26 Apr 20141 May 2014
http://chi2014.acm.org/

Conference

ConferenceThe ACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2014
CountryCanada
CityToronto
Period26/04/141/05/14
Internet address

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CHAN, Y. Y. R., LI, S., & HUI, W. Y. D. (2014). Social epistemic cognition in online interactions. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI '14) Association for Computing Machinery (ACM). https://doi.org/10.1145/2556288.2556977