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Title:Factors impacting social media users' information behavior: The concept of social noise
Author(s):Zimmerman, Tara; Behpour, Sahar; Hawamdeh, Suliman
Subject(s):Social media
Information behavior
Social noise
Abstract:Social media communication involves the discussion and sharing of information in an environment subject to the influence of online relationships and perceived expectations of those in the social network. The ability to filter the resulting noise depends largely on our understanding of Social Noise and its underlying constructs. We introduce the concept of Social Noise and investigate methods of identifying it using a quantitative, data analytics approach. Understanding this phenomenon has taken on increasing importance as it can influence attitudes and behavior surrounding social issues, political campaigns, and other core areas of society. Results from the topic modeling and data clustering techniques represent part of ongoing research into Social Noise and general keywords and combinations of keywords related to its underlying constructs.
Issue Date:2020-03-23
Publisher:iSchools
Series/Report:iConference 2020 Proceedings
Genre:Conference Poster
Type:Text
image
Language:English
URI:http://hdl.handle.net/2142/106527
Rights Information:Copyright 2020 Tara Zimmerman, Sahar Behpour, and Suliman Hawamdeh
Date Available in IDEALS:2020-03-17


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