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

Kód výsledku v 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>

Výsledek na webu

<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>

Jazyk výsledku

angličtina

Název v původním jazyce

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

Popis výsledku v původním jazyce

"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."

Název v anglickém jazyce

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

Popis výsledku anglicky

"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."

Druh

J_SC - Článek v periodiku v databázi SCOPUS

CEP obor

—

OECD FORD obor

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

Projekt

—

Návaznosti

—

Rok uplatnění

2023

Kód důvěrnosti údajů

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

Název periodika

"Information Society"

ISSN

0197-2243

e-ISSN

—

Svazek periodika

39

Číslo periodika v rámci svazku

5

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

19

Strana od-do

263-281

Kód UT WoS článku

—

EID výsledku v databázi Scopus

2-s2.0-85165058289