Publikation: Understanding the dynamics emerging fro...
Stammdaten
Titel: | Understanding the dynamics emerging from infodemics: a call to action for interdisciplinary research |
Untertitel: | |
Kurzfassung: | 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. |
Schlagworte: | Infodemics, complex systems, computer science and information systems, linguistics and computational linguistics, cognitive psychology and cognitive science, recommender systems, language signals, false beliefs, guided self-organization |
Publikationstyp: | Beitrag in Zeitschrift (Autorenschaft) |
Erscheinungsdatum: | 11.01.2021 (Online) |
Erschienen in: |
SN Business & Economics
SN Business & Economics
(
Springer Nature Switzerland AG;
)
zur Publikation |
Titel der Serie: | - |
Bandnummer: | - |
Heftnummer: | 1 |
Erstveröffentlichung: | Ja |
Version: | - |
Seite: | S. 1 - 18 |
Versionen
Keine Version vorhanden |
Erscheinungsdatum: | 11.01.2021 |
ISBN (e-book): | - |
eISSN: | 2662-9399 |
DOI: | http://dx.doi.org/10.1007/s43546-020-00027-4 |
Homepage: | https://link.springer.com/article/10.1007/s43546-020-00027-4 |
Open Access |
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AutorInnen
Stephan Leitner (intern) |
Bartosz Gula (intern) |
Dietmar Jannach (intern) |
Ulrike Krieg-Holz (intern) |
Friederike Wall (intern) |
Zuordnung
Organisation | Adresse | ||||
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Fakultät für Wirtschafts- und Rechtswissenschaften
Institut für Unternehmensführung Abteilung für Controlling und Strategische Unternehmensführung
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AT - 9020 Klagenfurt |
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Fakultät für Sozialwissenschaften
Institut für Psychologie Abteilung für Allgemeine Psychologie und Kognitionsforschung
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AT - 9020 Klagenfurt |
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Fakultät für Technische Wissenschaften
Institut für Artificial Intelligence und Cybersecurity
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AT - A-9020 Klagenfurt |
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Fakultät für Kultur- und Bildungswissenschaften
Institut für Germanistik Abteilung für Sprach- und Literaturwissenschaft
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AT - 9020 Klagenfurt/Wörthersee |
Kategorisierung
Sachgebiete |
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Forschungscluster |
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