Quick jump to page content
  • Main Navigation
  • Main Content
  • Sidebar
ISER
  • Home
  • Current
  • Archives
  • About
    • About the Journal
    • Submissions
    • Editorial Team
    • Privacy Statement
    • Contact
  • Login
  1. Home
  2. Archives
  3. Vol. 6 No. 2 (2018): Industrial and Systems Engineering Review - GDRKMCC18 Special Issue
  4. Articles

Modeling Diffusion of Information in an Increasingly Complex Digital Domain

Main Article Content

Daniel Provaznik
Jillian Wisniewski
USMA

PDF

DOI:

https://doi.org/10.37266/ISER.2018v6i2.pp126-134

Abstract

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.
Abstract 343 | PDF Downloads 48
  • About
  • References
  • Related
  • Citation

Article Sidebar

Authors
Daniel Provaznik
Jillian Wisniewski
USMA

Published
March 7, 2019

Article Details

Issue
Vol. 6 No. 2 (2018): Industrial and Systems Engineering Review - GDRKMCC18 Special Issue
Section
Articles

Authors who publish with this journal agree to the following terms:

  1. Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
  2. Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
  3. Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).

The copyediting stage is intended to improve the flow, clarity, grammar, wording, and formatting of the article. It represents the last chance for the author to make any substantial changes to the text because the next stage is restricted to typos and formatting corrections. The file to be copyedited is in Word or .rtf format and therefore can easily be edited as a word processing document. The set of instructions displayed here proposes two approaches to copyediting. One is based on Microsoft Word's Track Changes feature and requires that the copy editor, editor, and author have access to this program. A second system, which is software independent, has been borrowed, with permission, from the Harvard Educational Review. The journal editor is in a position to modify these instructions, so suggestions can be made to improve the process for this journal.

References

Karsten, J., & West, D. M. (2016, December 09). Inside the Social Media Echo Chamber. Retrieved March 07, 2018, from https://www.brookings.edu/blog/techtank/2016/12/09/inside-the-social-media-echo-chamber/.
Sterman, J. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. New York: McGraw-Hill Higher Education.
Van Dijck, J., & Poell, T. (2013). Understanding social media logic.

How to Cite

Modeling Diffusion of Information in an Increasingly Complex Digital Domain. (2019). Industrial and Systems Engineering Review, 6(2), 126-134. https://doi.org/10.37266/ISER.2018v6i2.pp126-134
  • APA
  • Chicago
  • IEEE
  • MLA
Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX
Crossref
Scopus
Google Scholar
Europe PMC
How to Cite
Modeling Diffusion of Information in an Increasingly Complex Digital Domain. (2019). Industrial and Systems Engineering Review, 6(2), 126-134. https://doi.org/10.37266/ISER.2018v6i2.pp126-134
  • APA
  • Chicago
  • IEEE
  • MLA
  • Download Citation
  • Endnote/Zotero/Mendeley (RIS)
  • BibTeX

Most read articles by the same author(s)

  • Dillon Riedlinger, Jillian Wisniewski, Understanding Mass Killing in America: A System Dynamics Approach , Industrial and Systems Engineering Review: Vol. 6 No. 2 (2018): Industrial and Systems Engineering Review - GDRKMCC18 Special Issue
  • Delainey Stokes, Jillian Wisniewski, Understanding Social Barriers and the Diffusion of Acceptance of Women in the Infantry: A System Dynamics Approach , Industrial and Systems Engineering Review: Vol. 5 No. 2 (2017): Industrial and Systems Engineering Review - Special Issue
  • Jadalaine Ferrer, Jillian Wisniewski, Modeling the Growth of Boko Haram Using System Dynamics , Industrial and Systems Engineering Review: Vol. 6 No. 2 (2018): Industrial and Systems Engineering Review - GDRKMCC18 Special Issue
Archives About Submissions Contact

ISSN 2329-0188

connect with us
on social media

Modal Header