{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,27]],"date-time":"2026-02-27T02:31:14Z","timestamp":1772159474098,"version":"3.50.1"},"reference-count":30,"publisher":"Emerald","issue":"1","license":[{"start":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T00:00:00Z","timestamp":1650326400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OIR"],"published-print":{"date-parts":[[2023,1,18]]},"abstract":"<jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n                    <jats:p>The study aimed to examine how different communities concerned with dementia engage and interact on Twitter.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n                    <jats:p>A dataset was sampled from 8,400 user profile descriptions, which was labelled into five categories and subjected to multiple machine learning (ML) classification experiments based on text features to classify user categories. Social network analysis (SNA) was used to identify influential communities via graph-based metrics on user categories. The relationship between bot score and network metrics in these groups was also explored.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n                    <jats:p>Classification accuracy values were achieved at 82% using support vector machine (SVM). The SNA revealed influential behaviour on both the category and node levels. About 2.19% suspected social bots contributed to the coronavirus disease 2019 (COVID-19) dementia discussions in different communities.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n                    <jats:p>The study is a unique attempt to apply SNA to examine the most influential groups of Twitter users in the dementia community. The findings also highlight the capability of ML methods for efficient multi-category classification in a crisis, considering the fast-paced generation of data.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title content-type=\"abstract-subheading\">Peer review<\/jats:title>\n                    <jats:p>\n                      The peer review history for this article is available at:\n                      <jats:ext-link xmlns:xlink=\"http:\/\/www.w3.org\/1999\/xlink\" ext-link-type=\"uri\" xlink:href=\"https:\/\/publons.com\/publon\/10.1108\/OIR-04-2021-0208\">https:\/\/publons.com\/publon\/10.1108\/OIR-04-2021-0208<\/jats:ext-link>\n                      .\n                    <\/jats:p>\n                  <\/jats:sec>","DOI":"10.1108\/oir-04-2021-0208","type":"journal-article","created":{"date-parts":[[2022,4,19]],"date-time":"2022-04-19T11:42:28Z","timestamp":1650368548000},"page":"41-58","source":"Crossref","is-referenced-by-count":14,"title":["Twitter use by the dementia community during COVID-19: a\u00a0user classification and social network analysis"],"prefix":"10.1108","volume":"47","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1982-4117","authenticated-orcid":false,"given":"Fatimah","family":"Alhayan","sequence":"first","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1275-7054","authenticated-orcid":false,"given":"Diane","family":"Pennington","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5662-6238","authenticated-orcid":false,"given":"Sarra","family":"Ayouni","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2022,4,19]]},"reference":[{"key":"key2023011802355260100_ref001","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1145\/3400806.3400838","article-title":"Twitter as health information source: exploring the parameters affecting dementia-related tweets","year":"2020"},{"key":"key2023011802355260100_ref002","article-title":"COVID-19 and dementia: difficult decisions about hospital admission and triage","author":"Alzheimer's Disease International","year":"2020","journal-title":"Alzheimer's Disease International"},{"issue":"1","key":"key2023011802355260100_ref003","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/s40037-019-00542-7","article-title":"Social media in knowledge translation and education for physicians and trainees: a scoping review","volume":"9","year":"2020","journal-title":"Perspectives on Medical Education"},{"issue":"2","key":"key2023011802355260100_ref004","doi-asserted-by":"publisher","first-page":"e11542","DOI":"10.2196\/11542","article-title":"Analyzing Twitter as a platform for Alzheimer-related dementia awareness: thematic analyses of tweets","volume":"1","year":"2018","journal-title":"JMIR Aging"},{"key":"key2023011802355260100_ref005","volume-title":"Mastering Gephi Network Visualization: Produce Advanced Network Graphs in Gephi and Gain Valuable Insights into Your Network Datasets","year":"2015"},{"issue":"6","key":"key2023011802355260100_ref006","doi-asserted-by":"publisher","first-page":"811","DOI":"10.1109\/TDSC.2012.75","article-title":"Detecting automation of Twitter accounts: are you a human, bot, or cyborg?","volume":"9","year":"2012","journal-title":"IEEE Transactions on Dependable and Secure Computing"},{"issue":"16598","key":"key2023011802355260100_ref007","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-020-73510-5","article-title":"The COVID-19 social media Infodemic","volume":"10","year":"2020","journal-title":"Scientific Reports"},{"issue":"1","key":"key2023011802355260100_ref008","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1097\/TGR.0000000000000173","article-title":"#Alzheimer's and dementia expressions of memory loss on twitter","volume":"34","year":"2018","journal-title":"Topics in Geriatric Rehabilitation"},{"key":"key2023011802355260100_ref030","volume-title":"Statistical Analysis Quick Reference Guidebook with SPSS Examples","year":"2007"},{"key":"key2023011802355260100_ref009","doi-asserted-by":"crossref","unstructured":"Evkoski, B., Pelicon, A., Mozeti\u010d, I., Ljube\u0161i\u0107, N. and Kralj Novak, P. 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