TY - UNPB
T1 - When no news is bad news--Detection of negative events from news media content
AU - Nielbo, Kristoffer Laigaard
AU - Hæstrup, Frida
AU - Enevoldsen, Kenneth
AU - Vahlstrup, Peter Bjerregaard
AU - Baglini, Rebekah Brita
AU - Roepstorff, Andreas
PY - 2021
Y1 - 2021
N2 - During the first wave of Covid-19 information decoupling could be observed in the flow of news media content. The corollary of the content alignment within and between news sources experienced by readers (i.e., all news transformed into Corona-news), was that the novelty of news content went down as media focused monotonically on the pandemic event. This all-important Covid-19 news theme turned out to be quite persistent as the pandemic continued, resulting in the, from a news media's perspective, paradoxical situation where the same news was repeated over and over. This information phenomenon, where novelty decreases and persistence increases, has previously been used to track change in news media, but in this study we specifically test the claim that new information decoupling behavior of media can be used to reliably detect change in news media content originating in a negative event, using a Bayesian approach to change point detection.
AB - During the first wave of Covid-19 information decoupling could be observed in the flow of news media content. The corollary of the content alignment within and between news sources experienced by readers (i.e., all news transformed into Corona-news), was that the novelty of news content went down as media focused monotonically on the pandemic event. This all-important Covid-19 news theme turned out to be quite persistent as the pandemic continued, resulting in the, from a news media's perspective, paradoxical situation where the same news was repeated over and over. This information phenomenon, where novelty decreases and persistence increases, has previously been used to track change in news media, but in this study we specifically test the claim that new information decoupling behavior of media can be used to reliably detect change in news media content originating in a negative event, using a Bayesian approach to change point detection.
KW - Newspapers
KW - Information Theory
KW - Bayesian Change Detection
KW - Pandemic Response
U2 - 10.48550/arXiv.2102.06505
DO - 10.48550/arXiv.2102.06505
M3 - Preprint
BT - When no news is bad news--Detection of negative events from news media content
PB - ArXiv
ER -