Journal article
Echoes of covid misinformation
- Abstract:
- Public support for responses to the coronavirus pandemic has sharply diverged on partisan lines in many countries, with conservatives tending to oppose lockdowns, social distancing, mask mandates and vaccines, and liberals far more supportive. This polarization may arise from the way in which the attitudes of each side is echoed back to them, especially on social media. In this paper, I argue that echo chambers are not to blame for this polarization, even if they are causally responsible for it. They are not to blame, because belief calibration in an echo chamber is a rational process; moreover, the epistemically constitutive properties of echo chambers are not optional for epistemically social animals like us. There is no special problem of echo chambers; rather, there is a problem of misleading evidence (especially higher-order evidence). Accordingly, we ought to respond to misinformation about COVID neither by attempting to dismantle echo chambers nor by attempting to make people more rational, but rather by attempting to supplant unreliable higher-order evidence with better evidence.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 658.1KB, Terms of use)
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- Publisher copy:
- 10.1080/09515089.2021.2009452
Authors
- Publisher:
- Taylor and Francis
- Journal:
- Philosophical Psychology More from this journal
- Volume:
- 36
- Issue:
- 5
- Pages:
- 931-948
- Publication date:
- 2021-11-27
- Acceptance date:
- 2021-11-17
- DOI:
- EISSN:
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1465-394X
- ISSN:
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0951-5089
- Language:
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English
- Keywords:
- Pubs id:
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1210324
- Local pid:
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pubs:1210324
- Deposit date:
-
2021-11-17
Terms of use
- Copyright holder:
- Neil Levy
- Copyright date:
- 2021
- Rights statement:
- © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons. org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
- Licence:
- CC Attribution (CC BY)
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