The simple regularities in the dynamics of online news impact

Medo, Matúš; Mariani, Manuel S.; Lü, Linyuan (2022). The simple regularities in the dynamics of online news impact. Journal of computational social science, 5(1), pp. 629-646. Springer 10.1007/s42001-021-00140-w

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Online news can quickly reach and affect millions of people, yet we do not know yet whether there exist potential dynamical regularities that govern their impact on the public. We use data from two major news outlets, BBC and New York Times, where the number of user comments can be used as a proxy of news impact. We find that the impact dynamics of online news articles does not exhibit popularity patterns found in many other social and information systems. In particular, we find that a simple exponential distribution yields a better fit to the empirical news impact distributions than a power-law distribution. This observation is explained by the lack or limited influence of the otherwise omnipresent rich-get-richer mechanism in the analyzed data. The temporal dynamics of the news impact exhibits a universal exponential decay which allows us to collapse individual news trajectories into an elementary single curve. We also show how daily variations of user activity directly influence the dynamics of the article impact. Our findings challenge the universal applicability of popularity dynamics patterns found in other social contexts.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Haematology, Oncology, Infectious Diseases, Laboratory Medicine and Hospital Pharmacy (DOLS) > Clinic of Radiation Oncology

UniBE Contributor:

Medo, Matúš

Subjects:

600 Technology > 610 Medicine & health

ISSN:

2432-2717

Publisher:

Springer

Language:

English

Submitter:

Beatrice Scheidegger

Date Deposited:

07 Dec 2021 18:43

Last Modified:

05 Dec 2022 15:55

Publisher DOI:

10.1007/s42001-021-00140-w

PubMed ID:

35600084

BORIS DOI:

10.48350/161712

URI:

https://boris.unibe.ch/id/eprint/161712

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