The misinformation machine
Abstract
In recent years, there has been an explosion of research trying to understand misinformation: what it is, how it operates, and what impacts it has on the world. On the surface, this roiling field seems to produce as many paradoxes and conflicting results as it does potential insights. For example, some studies suggest that bots (internet robots) play a limited role (1), whereas other studies suggest that bots drive the diffusion of misinformation (2). It is ironic that the field of research on misinformation has come to resemble the very thing it studies. What is true? What is actually known about misinformation and its impacts on society? A single research paper may interrogate only one aspect of what is a complex misinformation machine, making it tempting to see other papers as providing competing views, when they are, in fact, often entirely complementary windows into a much larger process. On page 374 of this issue, Grinberg et al. (3) illustrate the necessity of thinking of misinformation as a process.
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References
1
S. Vosoughi, D. Roy, S. Aral, Science 359, 1146 (2018).
2
C. Shao et al., Nat. Commun. 9, 4787 (2018).
3
N. Grinberg et al., Science 363, 374 (2019).
4
F. Esser, A. Umbricht, Journal. Mass Commun. Q. 91, 229 (2014).
5
M. Del Vicario et al., Proc. Natl. Acad. Sci. U.S.A. 113, 554 (2016).
6
C. Castillo et al., in WWW '11: Proceedings of the 20th International Conference on World Wide Web (Association for Computing Machinery, New York, 2011), pp. 675–684.
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Science
Volume 363 | Issue 6425
25 January 2019
25 January 2019
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Copyright © 2019 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works.
This is an article distributed under the terms of the Science Journals Default License.
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Published in print: 25 January 2019
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