Be careful who you follow : the impact of the initial set of friends on COVID-19 vaccine tweets

2021
working paper
conference materials
dc.abstract.enAlthough Twitter is regarded as one of the most potent sources of vaccine-related disinformation, relatively little is known about how Twitter constructs timelines for individual users. In this work, we examine the composition of the Twitter timeline conditioned on the initial selection of friends. We illustrate our method by analyzing how the initial selection of friends impacts the number of pro- and anti-vaccination information present in the timeline. Our experiment clearly shows the disproportionate prevalence of anti-vaccination content seeping into Twitter timelines even for accounts initialized with explicitly pro-vaccination friends. We also discuss ethical considerations of using automated bots for research purses in a social network environment.pl
dc.affiliationWydział Nauk o Zdrowiu : Instytut Pielęgniarstwa i Położnictwapl
dc.conferenceWorkshop on open challenges in online social networks (OASIS''21)
dc.conferenceWorkshop on open challenges in online social networks (OASIS'21)pl
dc.conference.cityvirtual event
dc.conference.countryIreland
dc.conference.datefinish2021-09-02
dc.conference.datestart2021-08-30
dc.contributor.authorKrysińska, Izabelapl
dc.contributor.authorWójtowicz, Tomipl
dc.contributor.authorOlejniuk, Agatapl
dc.contributor.authorMorzy, Mikołajpl
dc.contributor.authorPiasecki, Jan - 114409 pl
dc.date.accessioned2021-10-06T06:33:04Z
dc.date.available2021-10-06T06:33:04Z
dc.date.issued2021pl
dc.date.openaccess0
dc.description.accesstimeprzed opublikowaniem
dc.description.additionalVersion of record (VoR) available under DOI: https://doi.org/10.1145/3472720.3483619; information about research data is available in the HuggingFace repository: https://huggingface.co/datasets/webimmunization/COVID-19-vaccine-attitude-tweetspl
dc.description.conftypeinternationalpl
dc.description.physical1-19pl
dc.description.versionostateczna wersja autorska (postprint)
dc.identifier.doi10.26106/2mx3-rw91pl
dc.identifier.project2019/35/J/HS6/03498pl
dc.identifier.urihttps://ruj.uj.edu.pl/xmlui/handle/item/279509
dc.languageengpl
dc.rightsUdzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa*
dc.rights.licenceCC-BY
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/legalcode.pl*
dc.share.typeotwarte repozytorium
dc.subtypeConferenceMaterialspl
dc.titleBe careful who you follow : the impact of the initial set of friends on COVID-19 vaccine tweetspl
dc.typeWorkingPaperpl
dspace.entity.typePublication
dc.abstract.enpl
Although Twitter is regarded as one of the most potent sources of vaccine-related disinformation, relatively little is known about how Twitter constructs timelines for individual users. In this work, we examine the composition of the Twitter timeline conditioned on the initial selection of friends. We illustrate our method by analyzing how the initial selection of friends impacts the number of pro- and anti-vaccination information present in the timeline. Our experiment clearly shows the disproportionate prevalence of anti-vaccination content seeping into Twitter timelines even for accounts initialized with explicitly pro-vaccination friends. We also discuss ethical considerations of using automated bots for research purses in a social network environment.
dc.affiliationpl
Wydział Nauk o Zdrowiu : Instytut Pielęgniarstwa i Położnictwa
dc.conference
Workshop on open challenges in online social networks (OASIS''21)
dc.conferencepl
Workshop on open challenges in online social networks (OASIS'21)
dc.conference.city
virtual event
dc.conference.country
Ireland
dc.conference.datefinish
2021-09-02
dc.conference.datestart
2021-08-30
dc.contributor.authorpl
Krysińska, Izabela
dc.contributor.authorpl
Wójtowicz, Tomi
dc.contributor.authorpl
Olejniuk, Agata
dc.contributor.authorpl
Morzy, Mikołaj
dc.contributor.authorpl
Piasecki, Jan - 114409
dc.date.accessioned
2021-10-06T06:33:04Z
dc.date.available
2021-10-06T06:33:04Z
dc.date.issuedpl
2021
dc.date.openaccess
0
dc.description.accesstime
przed opublikowaniem
dc.description.additionalpl
Version of record (VoR) available under DOI: https://doi.org/10.1145/3472720.3483619; information about research data is available in the HuggingFace repository: https://huggingface.co/datasets/webimmunization/COVID-19-vaccine-attitude-tweets
dc.description.conftypepl
international
dc.description.physicalpl
1-19
dc.description.version
ostateczna wersja autorska (postprint)
dc.identifier.doipl
10.26106/2mx3-rw91
dc.identifier.projectpl
2019/35/J/HS6/03498
dc.identifier.uri
https://ruj.uj.edu.pl/xmlui/handle/item/279509
dc.languagepl
eng
dc.rights*
Udzielam licencji. Uznanie autorstwa 4.0 Międzynarodowa
dc.rights.licence
CC-BY
dc.rights.uri*
http://creativecommons.org/licenses/by/4.0/legalcode.pl
dc.share.type
otwarte repozytorium
dc.subtypepl
ConferenceMaterials
dc.titlepl
Be careful who you follow : the impact of the initial set of friends on COVID-19 vaccine tweets
dc.typepl
WorkingPaper
dspace.entity.type
Publication
Affiliations

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