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The effects of algorithmic content selection on user engagement with news on Twitter

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3AILZ9J3RE" target="_blank" >RIV/00216208:11320/23:ILZ9J3RE - isvavai.cz</a>

  • Result on the web

    <a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165058289&doi=10.1080%2f01972243.2023.2230471&partnerID=40&md5=1612d4a759b2b7864fe3207cbcb6e359" target="_blank" >https://www.scopus.com/inward/record.uri?eid=2-s2.0-85165058289&doi=10.1080%2f01972243.2023.2230471&partnerID=40&md5=1612d4a759b2b7864fe3207cbcb6e359</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1080/01972243.2023.2230471" target="_blank" >10.1080/01972243.2023.2230471</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    The effects of algorithmic content selection on user engagement with news on Twitter

  • Original language description

    "In this article, we investigate how Twitter’s switch from a reverse-chronological timeline to algorithmic content selection in March 2016 influenced user engagement with tweets published by German newspapers. To mitigate concerns about omitted variables, we use the Facebook postings of these newspapers as a counterfactual. We find that the number of likes increased by 20% and the number of retweets by 15% within a span of 30 days after the switch. Importantly, our results indicate a rich-get-richer effect, implying that initially more popular outlets and news topics benefited the most. User engagement also increased more for sensationalist content than quality news stories. © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC."

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Result continuities

  • Project

  • Continuities

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    "Information Society"

  • ISSN

    0197-2243

  • e-ISSN

  • Volume of the periodical

    39

  • Issue of the periodical within the volume

    5

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    19

  • Pages from-to

    263-281

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85165058289