Factors impacting social media users' information behavior: The concept of social noise
Author(s)
Zimmerman, Tara
Behpour, Sahar
Hawamdeh, Suliman
Issue Date
2020-03-23
Keyword(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.
Publisher
iSchools
Series/Report Name or Number
iConference 2020 Proceedings
Type of Resource
text
image
Language
eng
Permalink
http://hdl.handle.net/2142/106527
Copyright and License Information
Copyright 2020 Tara Zimmerman, Sahar Behpour, and Suliman Hawamdeh
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