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ICWSM 2027: International AAAI Conference on Web and Social Media

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ICWSM
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投稿締切日:
2027-01-15 残り 119 日
通知日:
2027-03-15
開催日:
2027-05-27
開催地:
Edinburgh, UK
開催回数:
CCF: B   ICORE: A   QUALIS: B1   閲覧: 36633   フォロー: 27   参加: 6

会伴インデックス (CP-I)

71.4 / 100
全 5,682 件中 第 311 位 · 上位 6%

情報システム・Web 分野 253 件中 第 17 位

学術的評価 (35%)
88
投稿の選択性 (20%) データなし — 中立の基準値 50 点として算入 —
開催回数 (20%)
83
コミュニティの注目度 (10%)
57
公開情報の充実度 (15%)
55

使用した入力: 収録ランク：CCF B, ICORE A, QUALIS B1 · 確認できる開催回数：21 · 会伴でフォローしている研究者：27 人 · 過去 24 か月にこのページを開いた研究者：25 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 最優秀論文の記録 (+2.3)
主催者は会議を認証申請したうえで、このページから直接追加できます。スコアは毎晩再計算されます。このスコアを上げるには

信頼度 80% — スコアのうち、中立の基準値ではなく実際に観測されたデータに基づく割合。 このスコアの算出方法 · ランキングを見る · アルゴリズム版 1.1 · 算出日 2026-09-17

論文募集

ICWSM 2027 (International AAAI Conference on Web and Social Media) is a CCF B / ICORE A / QUALIS B1 conference held in Edinburgh, UK on 2027-05-27. The paper submission deadline is 2027-01-15. Acceptance notifications are sent on 2027-03-15.

About ICWSM The International AAAI Conference on Web and Social Media (ICWSM) is a forum for researchers from multiple disciplines to come together to share knowledge, discuss ideas, exchange information, and learn about cutting-edge research in diverse fields with the common theme of investigating the interplay of web and society. This overall theme includes research on new perspectives in social theories, as well as computational algorithms for analyzing digital traces of human activities or behaviors in social settings. ICWSM is a singularly fitting venue for research that blends social science and computational approaches to answer important and challenging questions about human social behavior through online traces while advancing computational tools for vast and unstructured data. ICWSM, now in its twenty-first year, has become one of the premier venues for computational social science and social computing. Previous years of ICWSM have featured papers, posters, and demos that draw upon a wide spectrum of disciplines from computational sciences to social sciences. The uniqueness of the venue and the quality of submissions have contributed to a rapidly growing conference, and a competitive acceptance rate of approximately 20 to 30% for full-length research papers published in the proceedings by the Association for the Advancement of Artificial Intelligence (AAAI). Accepted Contributions Disciplines Computational approaches to social media, including: Natural Language Processing Text / Data Mining Machine Learning Image / Multimedia Processing Graphics and Visualization Distributed Computing Graph Theory and Network Science Human-computer Interaction Social science approaches to social media, including: Psychology Sociology and social network analysis Communication Political Science Economics Anthropology Media Studies and Journalism Digital Humanities Interdisciplinary approaches to social media research combining computational algorithms and social science methodologies Note that papers focusing solely on the advancement of algorithmic components, or which use Web data only as an artifact (for instance, in method evaluation) are out of scope. Ideal submissions should speak to research questions of societal relevance. Topics (not exhaustive) Social network analysis and community detection Information diffusion and viral phenomena in the web or online social spaces Sentiment analysis, opinion mining, and stance identification Misinformation, fact-checking, and credibility of online content Web mining, information extraction, and information retrieval on online platforms Privacy and security on the web Digital humanities and cultural analytics using online traces Political communication, civic engagement, and predictability of real-world phenomena using or related to web or digital-trace data Health and well-being in digital spaces Text categorization, topic recognition, and demographic identification using online behavior or digital-trace data Trend identification, tracking, and time series forecasting for web data Analysis of the relationship between social media and mainstream media Qualitative and quantitative studies of online platforms Linguistic analyses of human behavior on the web Psychological, personality-based, and ethnographic studies of web-based platforms Engagement, motivations, incentives, and gamification on the web Social innovation and effecting change through the web New web applications, interfaces, and interaction techniques Internet usage on mobile devices, location, and human mobility Organisational and group behavior mediated by web technology Interpersonal communication mediated by web and social media
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関連ジャーナル

CCF正式名称インパクトファクター出版社ISSN
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Social Media + Society4.9SAGE2056-3051
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

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