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Intermittent brain network reconfigurations and the resistance to social media influence
Since its development, social media has grown as a source of information and has a significant impact on opinion formation. Individuals interact with others and content via social media platforms in a variety of ways, but it remains unclear how decision-making and associated neural processes are imp...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MIT Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810364/ https://www.ncbi.nlm.nih.gov/pubmed/36605415 http://dx.doi.org/10.1162/netn_a_00255 |
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author | Lima Dias Pinto, Italo’Ivo Rungratsameetaweemana, Nuttida Flaherty, Kristen Periyannan, Aditi Meghdadi, Amir Richard, Christian Berka, Chris Bansal, Kanika Garcia, Javier Omar |
author_facet | Lima Dias Pinto, Italo’Ivo Rungratsameetaweemana, Nuttida Flaherty, Kristen Periyannan, Aditi Meghdadi, Amir Richard, Christian Berka, Chris Bansal, Kanika Garcia, Javier Omar |
author_sort | Lima Dias Pinto, Italo’Ivo |
collection | PubMed |
description | Since its development, social media has grown as a source of information and has a significant impact on opinion formation. Individuals interact with others and content via social media platforms in a variety of ways, but it remains unclear how decision-making and associated neural processes are impacted by the online sharing of informational content, from factual to fabricated. Here, we use EEG to estimate dynamic reconfigurations of brain networks and probe the neural changes underlying opinion change (or formation) within individuals interacting with a simulated social media platform. Our findings indicate that the individuals who changed their opinions are characterized by less frequent network reconfigurations while those who did not change their opinions tend to have more flexible brain networks with frequent reconfigurations. The nature of these frequent network configurations suggests a fundamentally different thought process between intervals in which individuals are easily influenced by social media and those in which they are not. We also show that these reconfigurations are distinct to the brain dynamics during an in-person discussion with strangers on the same content. Together, these findings suggest that brain network reconfigurations may not only be diagnostic to the informational context but also the underlying opinion formation. |
format | Online Article Text |
id | pubmed-9810364 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MIT Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-98103642023-01-04 Intermittent brain network reconfigurations and the resistance to social media influence Lima Dias Pinto, Italo’Ivo Rungratsameetaweemana, Nuttida Flaherty, Kristen Periyannan, Aditi Meghdadi, Amir Richard, Christian Berka, Chris Bansal, Kanika Garcia, Javier Omar Netw Neurosci Research Article Since its development, social media has grown as a source of information and has a significant impact on opinion formation. Individuals interact with others and content via social media platforms in a variety of ways, but it remains unclear how decision-making and associated neural processes are impacted by the online sharing of informational content, from factual to fabricated. Here, we use EEG to estimate dynamic reconfigurations of brain networks and probe the neural changes underlying opinion change (or formation) within individuals interacting with a simulated social media platform. Our findings indicate that the individuals who changed their opinions are characterized by less frequent network reconfigurations while those who did not change their opinions tend to have more flexible brain networks with frequent reconfigurations. The nature of these frequent network configurations suggests a fundamentally different thought process between intervals in which individuals are easily influenced by social media and those in which they are not. We also show that these reconfigurations are distinct to the brain dynamics during an in-person discussion with strangers on the same content. Together, these findings suggest that brain network reconfigurations may not only be diagnostic to the informational context but also the underlying opinion formation. MIT Press 2022-07-01 /pmc/articles/PMC9810364/ /pubmed/36605415 http://dx.doi.org/10.1162/netn_a_00255 Text en © 2022 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Research Article Lima Dias Pinto, Italo’Ivo Rungratsameetaweemana, Nuttida Flaherty, Kristen Periyannan, Aditi Meghdadi, Amir Richard, Christian Berka, Chris Bansal, Kanika Garcia, Javier Omar Intermittent brain network reconfigurations and the resistance to social media influence |
title | Intermittent brain network reconfigurations and the resistance to social media influence |
title_full | Intermittent brain network reconfigurations and the resistance to social media influence |
title_fullStr | Intermittent brain network reconfigurations and the resistance to social media influence |
title_full_unstemmed | Intermittent brain network reconfigurations and the resistance to social media influence |
title_short | Intermittent brain network reconfigurations and the resistance to social media influence |
title_sort | intermittent brain network reconfigurations and the resistance to social media influence |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810364/ https://www.ncbi.nlm.nih.gov/pubmed/36605415 http://dx.doi.org/10.1162/netn_a_00255 |
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