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Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research
Research on infodemics, i.e., the rapid spread of (mis)information related to a hazardous event, such as the COVID-19 pandemic, requires integrating a multiplicity of scientific disciplines. The dynamics emerging from infodemics have the potential to generate complex behavioral patterns. To react ap...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798384/ https://www.ncbi.nlm.nih.gov/pubmed/34778815 http://dx.doi.org/10.1007/s43546-020-00027-4 |
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author | Leitner, Stephan Gula, Bartosz Jannach, Dietmar Krieg-Holz, Ulrike Wall, Friederike |
author_facet | Leitner, Stephan Gula, Bartosz Jannach, Dietmar Krieg-Holz, Ulrike Wall, Friederike |
author_sort | Leitner, Stephan |
collection | PubMed |
description | Research on infodemics, i.e., the rapid spread of (mis)information related to a hazardous event, such as the COVID-19 pandemic, requires integrating a multiplicity of scientific disciplines. The dynamics emerging from infodemics have the potential to generate complex behavioral patterns. To react appropriately, it is of ultimate importance for the fields of Business and Economics to understand these dynamics. In the short run, they might lead to an adaptation in household spending or to a shift in buying behavior towards online providers. In the long run, changes in investments, consumer behavior, and markets are to be expected. We argue that the dynamics emerge from complex interactions among multiple factors, such as information and misinformation accessible to individuals and the formation and revision of beliefs. (Mis)information accessible to individuals is, amongst others, affected by algorithms specifically designed to provide personalized information, while automated fact-checking algorithms can help reduce the amount of circulating misinformation. The formation and revision of individual (and probably false) beliefs and individual fact-checking and interpretation of information are heavily affected by linguistic patterns inherent to information during pandemics and infodemics and further factors, such as affect, intuition, and motives. We argue that, to get a deep(er) understanding of the dynamics emerging from infodemics, the fields of Business and Economics should integrate the perspectives of Computer Science and Information Systems, (Computational) Linguistics, and Cognitive Science into the wider context of economic systems (e.g., organizations, markets or industries) and propose a way to do so. As research on infodemics is a strongly interdisciplinary field and the integration of the above-mentioned disciplines is a first step towards a holistic approach, we conclude with a call to action which should encourage researchers to collaborate across scientific disciplines and unfold collective creativity, which will substantially advance research on infodemics. |
format | Online Article Text |
id | pubmed-7798384 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-77983842021-01-11 Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research Leitner, Stephan Gula, Bartosz Jannach, Dietmar Krieg-Holz, Ulrike Wall, Friederike SN Bus Econ Commentary Research on infodemics, i.e., the rapid spread of (mis)information related to a hazardous event, such as the COVID-19 pandemic, requires integrating a multiplicity of scientific disciplines. The dynamics emerging from infodemics have the potential to generate complex behavioral patterns. To react appropriately, it is of ultimate importance for the fields of Business and Economics to understand these dynamics. In the short run, they might lead to an adaptation in household spending or to a shift in buying behavior towards online providers. In the long run, changes in investments, consumer behavior, and markets are to be expected. We argue that the dynamics emerge from complex interactions among multiple factors, such as information and misinformation accessible to individuals and the formation and revision of beliefs. (Mis)information accessible to individuals is, amongst others, affected by algorithms specifically designed to provide personalized information, while automated fact-checking algorithms can help reduce the amount of circulating misinformation. The formation and revision of individual (and probably false) beliefs and individual fact-checking and interpretation of information are heavily affected by linguistic patterns inherent to information during pandemics and infodemics and further factors, such as affect, intuition, and motives. We argue that, to get a deep(er) understanding of the dynamics emerging from infodemics, the fields of Business and Economics should integrate the perspectives of Computer Science and Information Systems, (Computational) Linguistics, and Cognitive Science into the wider context of economic systems (e.g., organizations, markets or industries) and propose a way to do so. As research on infodemics is a strongly interdisciplinary field and the integration of the above-mentioned disciplines is a first step towards a holistic approach, we conclude with a call to action which should encourage researchers to collaborate across scientific disciplines and unfold collective creativity, which will substantially advance research on infodemics. Springer International Publishing 2021-01-11 2021 /pmc/articles/PMC7798384/ /pubmed/34778815 http://dx.doi.org/10.1007/s43546-020-00027-4 Text en © The Author(s) 2020 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Commentary Leitner, Stephan Gula, Bartosz Jannach, Dietmar Krieg-Holz, Ulrike Wall, Friederike Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
title | Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
title_full | Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
title_fullStr | Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
title_full_unstemmed | Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
title_short | Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
title_sort | understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
topic | Commentary |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7798384/ https://www.ncbi.nlm.nih.gov/pubmed/34778815 http://dx.doi.org/10.1007/s43546-020-00027-4 |
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