Novelty in News Search: A Longitudinal Study of the 2020 US Elections

Ulloa, Roberto; Makhortykh, Mykola; Urman, Aleksandra; Kulshrestha, Juhi

[journal article]

dc.contributor.author	Ulloa, Roberto	de
dc.contributor.author	Makhortykh, Mykola	de
dc.contributor.author	Urman, Aleksandra	de
dc.contributor.author	Kulshrestha, Juhi	de
dc.date.accessioned	2024-05-15T13:03:17Z
dc.date.available	2024-05-15T13:03:17Z
dc.date.issued	2024	de
dc.identifier.issn	1552-8286	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/94126
dc.description.abstract	The 2020 US elections news coverage was extensive, with new pieces of information generated rapidly. This evolving scenario presented an opportunity to study the performance of search engines in a context in which they had to quickly process information as it was published. We analyze novelty, a measurement of new items that emerge in the top news search results, to compare the coverage and visibility of different topics. Using virtual agents that simulate human web browsing behavior to collect search engine result pages, we conduct a longitudinal study of news results of five search engines collected in short bursts (every 21 minutes) from two regions (Oregon, US and Frankfurt, Germany), starting on election day and lasting until one day after the announcement of Biden as the winner. We find more new items emerging for election related queries ("joe biden," "donald trump," and "us elections") compared to topical (e.g., "coronavirus") or stable (e.g., "holocaust") queries. We demonstrate that our method captures sudden changes in highly covered news topics as well as multiple differences across search engines and regions over time. We highlight novelty imbalances between candidate queries which affect their visibility during electoral periods, and conclude that, when it comes to news, search engines are responsible for such imbalances, either due to their algorithms or the set of news sources that they rely on.	de
dc.language	en	de
dc.subject.ddc	Publizistische Medien, Journalismus,Verlagswesen	de
dc.subject.ddc	News media, journalism, publishing	en
dc.title	Novelty in News Search: A Longitudinal Study of the 2020 US Elections	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.identifier.url	localfile:/var/local/dda-files/prod/crawlerfiles/3846611114044933a4788de03ac26f27/3846611114044933a4788de03ac26f27.pdf	de
dc.source.journal	Social Science Computer Review
dc.source.volume	42	de
dc.publisher.country	USA	de
dc.source.issue	3	de
dc.subject.classoz	interaktive, elektronische Medien	de
dc.subject.classoz	Interactive, electronic Media	en
dc.subject.thesoz	USA	de
dc.subject.thesoz	United States of America	en
dc.subject.thesoz	Präsidentschaftswahl	de
dc.subject.thesoz	presidential election	en
dc.subject.thesoz	Berichterstattung	de
dc.subject.thesoz	reporting	en
dc.subject.thesoz	Online-Medien	de
dc.subject.thesoz	online media	en
dc.subject.thesoz	Suchmaschine	de
dc.subject.thesoz	search engine	en
dc.subject.thesoz	Aktualität	de
dc.subject.thesoz	topicality	en
dc.subject.thesoz	Informationsgewinnung	de
dc.subject.thesoz	information capture	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10041244
internal.identifier.thesoz	10061850
internal.identifier.thesoz	10038258
internal.identifier.thesoz	10064820
internal.identifier.thesoz	10068114
internal.identifier.thesoz	10035002
internal.identifier.thesoz	10047368
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	700-718	de
internal.identifier.classoz	1080404
internal.identifier.journal	645
internal.identifier.document	32
internal.identifier.ddc	070
dc.identifier.doi	https://doi.org/10.1177/08944393231195471	de
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	1
ssoar.wgl.collection	true	de
internal.dda.reference	crawler-deepgreen-378@@3846611114044933a4788de03ac26f27
ssoar.urn.registration	false	de

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