| Status: Finished | First online: 11-02-2021 | Updated: NA |
Authors Kristoffer L. Nielbo [1,2,3], Rebekah B. Baglini [3], Peter B. Vahlstrup [1,2], Kenneth C. Enevoldsen [1], Anja Bechmann [2], and Andreas Roepstorff [3].
[1] Center for Humanities Computing Aarhus, Jens Chr. Skous Vej 4, Building 1483, 3rd floor, DK-8000 Aarhus C, Denmark
[1] DATALAB, School of Communication and Culture, Aarhus University, Helsingforsgade 14, DK-8200 Aarhus N, Denmark
[1] Interacting Minds Centre, Jens Chr. Skous Vej 4, Building 1483, 3rd floor, DK-8000 Aarhus C, Denmark
Important: this is an pre-print posted on arXiv and is not peer-reviewed by arXiv; it should not be relied upon without context to guide clinical practice or health-related behavior and should not be reported in news media as established information without consulting multiple experts in the field.
Abstract
Content alignment in news media was an observable information effect of Covid-19’s initial phase. During the first half of 2020, legacy news media became “corona news” following national outbreak and crises management patterns. While news media are neither unbiased nor infallible as sources of events, they do provide a window into socio-cultural responses to events. In this paper, we use legacy print media from Denmark to empirically derive the principle News Information Decoupling (NID) that functions as an information signature of culturally significant catastrophic event. Formally, NID provides input to change detection algorithms and points to several unsolved research problems in the intersection of information theory and media studies.
Keywords
Newspapers Pandemic Response Change Detection Adaptive Filtering