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Social Science

The misinformation machine

Science25 Jan 2019Vol 363, Issue 6425p. 348DOI: 10.1126/science.aaw1315

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

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Published in print: 25 January 2019

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Derek Ruths
School of Computer Science, McGill University, Montreal, QC, Canada.

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Cited by
  1. Misplaced trust: When trust in science fosters belief in pseudoscience and the benefits of critical evaluation, Journal of Experimental Social Psychology, 96, (104184), (2021).https://doi.org/10.1016/j.jesp.2021.104184
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  2. On fake news, gatekeepers and LIS professionals: the finger or the moon?, Digital Library Perspectives, 37, 2, (168-178), (2021).https://doi.org/10.1108/DLP-09-2020-0097
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  3. The Technium: Tools and Targets of the Conflicts, Cognitive Superiority, (25-60), (2021).https://doi.org/10.1007/978-3-030-60184-3
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  4. Right and left, partisanship predicts (asymmetric) vulnerability to misinformation, Harvard Kennedy School Misinformation Review, (2021).https://doi.org/10.37016/mr-2020-55
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  5. Conspiracy vs science: A large-scale analysis of online discussion cascades, World Wide Web, 24, 2, (585-606), (2021).https://doi.org/10.1007/s11280-021-00862-x
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  6. 13. Educational Factors for Healthy Aging, Healthy Aging Through The Social Determinants of Health, (2021).https://doi.org/10.2105/9780875533162
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  7. The strength of weak bots, Online Social Networks and Media, 21, (100106), (2021).https://doi.org/10.1016/j.osnem.2020.100106
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  8. Communication through Social Media: Fake or Reality, Communication Management [Working Title], (2021).https://doi.org/10.5772/intechopen.94775
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  9. The mass, fake news, and cognition security, Frontiers of Computer Science, 15, 3, (2020).https://doi.org/10.1007/s11704-020-9256-0
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  10. The COVID-19 social media infodemic, Scientific Reports, 10, 1, (2020).https://doi.org/10.1038/s41598-020-73510-5
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