Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/33703
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dc.contributor.authorMeggs, Jennyen_UK
dc.contributor.authorAhmed, Wasimen_UK
dc.date.accessioned2021-12-08T12:39:07Z-
dc.date.available2021-12-08T12:39:07Z-
dc.date.issued2021-11-27en_UK
dc.identifier.urihttp://hdl.handle.net/1893/33703-
dc.description.abstractPurpose/rationale: Athletes and governing bodies have raised ethical concerns related to the negative psychological effects of Twitter for professional athletes. There remained a need to systematically understand the processes involved in negative fan athlete social media interactions by categorising social media data using psychological theory. This study aimed to examine the attributional (specific or global negative comments) and contextual (sport-specific and general life context or “no context”) factors of Twitter content that were Tweeted by fans about high profile sports people. Research methods: In order to retrieve preliminary social media data to explore this phenomenon, Tweet data was collected data using Twitter’s Search API related to the top 10 highest-paid athletes (a crude initial ranking of “high profile”) as ranked by Forbes, 2018 and the data was retrieved on Friday 26th of April 2019. The search and retrieval strategy used a combination of sentiment analysis and qualitative filtering in order to isolate negative tweets directed at sports athletes. Results and findings: Preliminary findings highlighted that negative tweets directed at sports athletes can be accurately classified into three broad themes: (i) global negative projections (no context) (ii) global negative projections (sport performance context), and (iii) specific negative projections (personal context). The socio ecological theory was used as a holistic model to understand the broader processes involved in fan athlete social media interaction when considering these types of negative engagement between fans and athletes. Implications: Twitter can be used as a means for the public to direct negative projections towards athletes and our study puts forward a number of applied and research recommendations for researchers and sport management staff to educate and protect athletes from the negative consequences of “twitter abuse”.en_UK
dc.language.isoenen_UK
dc.publisherInforma UK Limiteden_UK
dc.relationMeggs J & Ahmed W (2021) Applying cognitive analytic theory to understand the abuse of athletes on Twitter. Managing Sport and Leisure. https://doi.org/10.1080/23750472.2021.2004210en_UK
dc.rights© 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited, and is not altered, transformed, or built upon in any way.en_UK
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/en_UK
dc.subjectTwitteren_UK
dc.subjecthigh profile sports peopleen_UK
dc.subjectsocio ecological theoryen_UK
dc.subjectnegative projectionsen_UK
dc.titleApplying cognitive analytic theory to understand the abuse of athletes on Twitteren_UK
dc.typeJournal Articleen_UK
dc.identifier.doi10.1080/23750472.2021.2004210en_UK
dc.citation.jtitleManaging Sport and Leisureen_UK
dc.citation.issn2375-0480en_UK
dc.citation.issn2375-0472en_UK
dc.citation.peerreviewedRefereeden_UK
dc.type.statusVoR - Version of Recorden_UK
dc.contributor.funderNewcastle Universityen_UK
dc.author.emailwasim.ahmed@stir.ac.uken_UK
dc.citation.date27/11/2021en_UK
dc.description.notesOutput Status: Forthcoming/Available Onlineen_UK
dc.contributor.affiliationLancaster Universityen_UK
dc.contributor.affiliationNewcastle Universityen_UK
dc.identifier.isiWOS:000723050300001en_UK
dc.identifier.scopusid2-s2.0-85119990647en_UK
dc.identifier.wtid1777339en_UK
dc.contributor.orcid0000-0001-8923-1865en_UK
dc.date.accepted2021-10-05en_UK
dcterms.dateAccepted2021-10-05en_UK
dc.date.filedepositdate2021-11-30en_UK
rioxxterms.apcnot requireden_UK
rioxxterms.typeJournal Article/Reviewen_UK
rioxxterms.versionVoRen_UK
local.rioxx.authorMeggs, Jenny|en_UK
local.rioxx.authorAhmed, Wasim|0000-0001-8923-1865en_UK
local.rioxx.projectProject ID unknown|Newcastle University|http://dx.doi.org/10.13039/501100000774en_UK
local.rioxx.freetoreaddate2021-12-07en_UK
local.rioxx.licencehttp://creativecommons.org/licenses/by-nc-nd/4.0/|2021-12-07|en_UK
local.rioxx.filenameApplying cognitive analytic theory .pdfen_UK
local.rioxx.filecount1en_UK
local.rioxx.source2375-0480en_UK
Appears in Collections:Management, Work and Organisation Journal Articles

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