会议信息

ICWSM 2027: International AAAI Conference on Web and Social Media

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截稿日期:
2027-01-15 还有 95 天
通知日期:
2027-03-15
会议日期:
2027-05-27
会议地点:
Edinburgh, UK
届数:
加入日历: Google 日历 · Outlook / Apple 日历（.ics）
CCF: B   ICORE: A   QUALIS: B1   浏览: 37694   关注: 27   参加: 6
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ICWSM
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会伴指数 (CP-I)

71.5 / 100
全站第 312 名 / 共 5,695 个会议 · 前 6%

信息系统与 Web 第 16 / 253

学术认可 (35%)
88
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
83
社区关注 (10%)
58
资料公开度 (15%)
55

用到的输入: 收录等级：CCF B, ICORE A, QUALIS B1 · 有据可查的届次：21 · 在会伴关注它的研究者：27 人 · 过去 24 个月打开过本页的研究者：31 人

公开资料里还缺: 历年录用率 (+4.5) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-11

征稿

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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CCF全称影响因子出版商ISSN
CEngineering Applications of Artificial Intelligence9.0Elsevier0952-1976
BPattern Recognition7.6Elsevier0031-3203
BWorld Wide Web3.4Springer1386-145X
CFuture Generation Computer Systems5.9Elsevier0167-739X
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