Integrating Social Media Sentiment Analysis and Traditional Polling: A Comprehensive Approach to Public Opinion in Kuwait.
This research explores the ongoing debate on whether social media sentiment analysis can replace traditional polling and advocates for the combined use of both methods to capture nuanced public perceptions expanding the geographic and linguistic scope of public opinion literature, this study focuses...
| Publicado en: | Arab Journal for the Humanities Vol. 43; no. 172; pp. 295 - 326 |
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| Autores principales: | , |
| Formato: | Artículo |
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Kuwait University
Autumn2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=188787311&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 188787311 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 10269576 1WRG jtl: Arab Journal for the Humanities issn: 10269576 maglogo: N pubinfo: dt: Autumn2025 vid: 43 iid: 172 pid: 19632 pub: Kuwait University artinfo: ui: 188787311 10.34120/ajh.v43i172.3201 ppf: 295 ppct: 31 formats: fmt: @attributes: type: P size: 4.1MB tig: atl: Integrating Social Media Sentiment Analysis and Traditional Polling: A Comprehensive Approach to Public Opinion in Kuwait. aug: au: Al Nashmi, Eisa Nashmi Alsharhan, Eiman Tawfeeq affil: Associate Professor, Department of Mass Communication, College of Arts, Kuwait University, Kuwait. Associate Professor, Department of Arabic Language and Literature, College of Arts, Kuwait University, Kuwait. su: Public opinion Public opinion polls Emotion recognition Sentiment analysis Social media Government policy Arabic language Kuwait (Kuwait) sug: subj: Kuwait (Kuwait) Public opinion Public opinion polls Emotion recognition Sentiment analysis Social media Government policy Arabic language keyword: emotion-classification tool Kuwaiti Arabic natural language processing policy-making public opinion sentiment analysis traditional polling أداة تصنيف المشاعر الاستطلاعات التقليدية التحليل الآلي للمشاعر الرأي العام اللهجة الكويتية المعالجة الآلية للغة صنع السياسات ab: This research explores the ongoing debate on whether social media sentiment analysis can replace traditional polling and advocates for the combined use of both methods to capture nuanced public perceptions expanding the geographic and linguistic scope of public opinion literature, this study focuses on Kuwait and the Arabic language. It examines public reactions to the Ministry of Higher Education’s decision on June 9, 2023, to suspend scholarships for medical students at universities in Jordan and Egypt. The goal was to assess how data from both social media and traditional surveys can aid the government in understanding public opinion towards various policies. A significant contribution of this study is the development of the first multi-label emotion-classification tool specifically designed for Kuwaiti Arabic. This tool’s unique capability to interpret and analyze the intricacies of the Kuwaiti dialect provided invaluable insights into local contexts and sentiments, setting a new benchmark for cultural and linguistic specificity in emotion-classification tools. The findings indicate that, while social media alone may not fully convey actual public opinion on political issues, adding survey data yields a richer, multi-dimensional perspective. This approach emphasizes the importance of integrating both methodologies to inform policymaking. The study further highlights the critical role of public opinion in shaping government policies and suggests that using both methods could lead to more informed decisions, enhance public trust, and reduce the likelihood of electoral sanctions. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Copyright of Arab Journal for the Humanities is the property of Kuwait University, Academic Publication Council and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. item: Arab Journal for the Humanities holder: Kuwait University, Academic Publication Council dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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