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Modeling Diffusion of Information in an Increasingly Complex Digital Domain
Author(s) -
Daniel Wade Provaznik,
Jillian Wisniewski
Publication year - 2019
Publication title -
industrial and systems engineering review
Language(s) - English
Resource type - Journals
ISSN - 2329-0188
DOI - 10.37266/iser.2018v6i2.pp126-134
Subject(s) - publication , social media , politics , internet privacy , entertainment , polarization (electrochemistry) , consumption (sociology) , domain (mathematical analysis) , advertising , digital media , political science , public relations , sociology , computer science , business , world wide web , social science , law , mathematical analysis , chemistry , mathematics
Offering entertainment, discussion, and information, social media provides users with a stimulating online experience. Within the last five years, it has also become an increasingly popular medium for the consumption of news. News outlets publish articles and reports through social media, and by doing so influence their users in a way that corresponds with the outlet’s political leaning. Because social media outlets provide users with tailored content, the prevalence of biased news reporting reinforces the user’s political values and polarizes their beliefs. This thesis attempts to examine the relationships that give rise to this political polarization in social media and discusses possible opportunities to mitigate it.

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