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Keyword–Platform Relationships in Social Media Research : Insights into Computer Science Conference Proceedings

https://doshisha.repo.nii.ac.jp/records/2001377
https://doshisha.repo.nii.ac.jp/records/2001377
6b09910a-0ba3-4f17-bafe-cd8417f524e8
名前 / ファイル ライセンス アクション
202510090001.pdf 202510090001.pdf (1.6 MB)
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Item type 学術雑誌論文 / Journal Article(1)
公開日 2025-10-29
タイトル
タイトル Keyword–Platform Relationships in Social Media Research : Insights into Computer Science Conference Proceedings
言語 en
言語
言語 eng
キーワード
主題 bibliometrics, evolution, platform-specific research, data source, social media, research themes, social science, natural language processing, network science, computer science
資源タイプ
資源タイプ識別子 http://purl.org/coar/resource_type/c_6501
資源タイプ journal article
アクセス権
アクセス権 open access
アクセス権URI http://purl.org/coar/access_right/c_abf2
著者 山内, 一礼

× 山内, 一礼

ORCID 0009-0000-1206-2426

en Yamauchi, Kazuhiro
ROR Doshisha University 01fxdkm29

ja 山内, 一礼

ja-Kana ヤマウチ, カズヒロ


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松田, 尊晴

× 松田, 尊晴

ORCID 0009-0004-6273-5122

en Matsuda, Takaharu
ROR Doshisha University 01fxdkm29

ja 松田, 尊晴

ja-Kana マツダ, タカハル


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桂井, 麻里衣

× 桂井, 麻里衣

CiNii ID 1000070744952
e-Rad_Researcher 70744952
ORCID 0000-0003-4899-2427

en Katsurai, Marie
ROR Doshisha University 01fxdkm29

ja 桂井, 麻里衣

ja-Kana カツライ, マリエ


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抄録
内容記述タイプ Abstract
内容記述 Purpose: This study examined the evolution of social media platforms as data sources for researchers in computer science research. This study also analyzed the unique research themes associated with different social media platforms.
Design/methodology/approach: We conducted a bibliometric analysis of more than 4,000 papers from three major computer science conferences related to social media research, from 2013 to 2023. We manually extracted the names of the platforms used as data sources from research titles and abstracts. Subsequently, keyword co-occurrence networks and heat maps were created to illustrate the relationships between platforms and research topics.
Findings: Social media has grown in importance as a data source, and Twitter (now “X”) represents a central platform in the field of computer science. Each platform exhibited distinct research themes: Twitter was prominent in political and disaster-related research, Reddit in online community studies, and platforms such as YouTube and Instagram in video- and image-based research. Three main research areas emerged across platforms: machine learning, network science, and social science.
Originality: This study provides an overview of the social media research trends in computer science, offering insights into platform-specific research themes and the evolving importance of social media data in academic research. These findings highlight the potential impact of the recent changes in data access policies on future research.
言語 en
書誌情報 en : Aslib Journal of Information Management

発行日 2025-09-09
出版者
出版者 Emerald Publishing
言語 en
ISSN
収録物識別子タイプ EISSN
収録物識別子 20503814
ISSN
収録物識別子タイプ PISSN
収録物識別子 20503806
書誌レコードID
収録物識別子タイプ NCID
収録物識別子 AA12663918
DOI
関連タイプ isVersionOf
識別子タイプ DOI
関連識別子 https://doi.org/10.1108/AJIM-11-2024-0890
権利情報
言語 en
権利情報Resource https://creativecommons.org/licenses/by-nc/4.0/
権利情報 This author accepted manuscript is deposited under a Creative Commons Attribution Non-commercial 4.0 International (CC BY-NC) licence. This means that anyone may distribute, adapt, and build upon the work for non-commercial purposes, subject to full attribution. If you wish to use this manuscript for commercial purposes, please contact permissions@emerald.com.
出版タイプ
出版タイプ AM
出版タイプResource http://purl.org/coar/version/c_ab4af688f83e57aa
助成情報
助成機関識別子タイプ Crossref Funder
助成機関識別子 https://doi.org/10.13039/501100001691
助成機関名 日本学術振興会
言語 ja
助成機関名 Japan Society for the Promotion of Science
言語 en
研究課題番号URI https://kaken.nii.ac.jp/ja/grant/KAKENHI-PROJECT-23K20410/
研究課題番号 JP20H04484
研究課題番号タイプ JGN
研究課題名 Scholar2Vec: 研究者の多様な活動情報を埋め込める深層潜在空間の構築
言語 ja
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