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WebSci 2025: ACM Web Science

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投稿締切日:
2024-11-30
通知日:
2025-01-31
開催日:
2025-05-20
開催地:
New Brunswick, New Jersey, USA
開催回数:
17
閲覧: 33888   フォロー: 1   参加: 0

会伴インデックス (CP-I)

52.1 / 100
全 5,646 件中 第 1,109 位 · 上位 20%
学術的評価 (35%) データなし — 中立の基準値 50 点として算入 —
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%)
78
コミュニティの注目度 (10%)
15
公開情報の充実度 (15%)
50

使用した入力: 確認できる開催回数：17 · 会伴でフォローしている研究者：1 人 · 過去 24 か月にこのページを開いた研究者：2 人

公開情報で不足しているもの: 過去の採択率 (+4.5) · 過去の開催回 (+3.0)
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 45% — 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 2026-08-30

論文募集

WebSci 2025 (ACM Web Science) is an academic conference held in New Brunswick, New Jersey, USA on 2025-05-20. The paper submission deadline is 2024-11-30. Acceptance notifications are sent on 2025-01-31.

About the Web Science Conference Web Science is an interdisciplinary field dedicated to understanding the complex and multiple impacts of the Web on society and vice versa. The discipline is well situated to address pressing issues of our time by incorporating various scientific approaches. We welcome quantitative, qualitative and mixed methods research, including techniques from the social sciences and computer science. In addition, we are interested in work exploring Web-based data collection and research ethics. We also encourage studies that combine analyses of Web data and other types of data (e.g., from surveys or interviews) to help better understand user behavior online and offline. 2025 Emphasis: Maintaining a human-centric web in the era of Generative AI Web-based experiences are more deeply integrated into human experiences than ever before in history. However, the rapid deployment of artificial intelligence (including large language models) has drastically shifted the interactions between humans in the digital environment. The Web has never been more productive, but the integrity of human connection has been compromised. Trust and community have been eroded during this current era of the Web and researching alternative aspects of life on the Web is as essential as ever. Bots, deepfakes, and sophisticated cyberattacks are proliferating rapidly while people increasingly navigate the Web for news, social interaction, and learning. This year’s conference especially encourages contributions investigating how humans are reconfiguring their Web-based engagements in the presence of artificial intelligence. Additionally, we welcome papers on a wide range of topics at the heart of Web Science. Possible topics across methodological approaches and digital contexts include but are not limited to: Understanding the Web Trends in globalization and fragmentation of the Web The architecture, philosophy, and evolution of the Web Automation and AI in all its manifestations relevant to the Web Critical analyses of the Web and Web technologies The Spread of Large Models on the Web Making the Web Inclusive Issues of discrimination and fairness Intersectionality and design justice in questions of marginalization and inequality Ethical challenges of technologies, data, algorithms, platforms, and people on the Web Safeguarding and governance of the Web, including anonymity, security, and trust Inclusion, literacy and the digital divide Human-centered security and robustness on the Web The Web and Everyday Life Social machines, crowd computing, and collective intelligence Web economics, social entrepreneurship, and innovation Legal and policy issues, including rights and accountability for the AI industry The creator economy: Humanities, arts, and culture on the Web Politics and social activism on the Web Online education and remote learning Health and well-being online Social presence in online professional event spaces The Web as a source of news and information Doing Web Science Data curation, Web archives and stewardship in Web Science Temporal and spatial dimensions of the Web as a repository of information Analysis and modeling of human and automatic behavior (e.g., bots) Analysis of online social and information networks Detecting, preventing, and predicting anomalies in Web data (e.g., fake content, spam) Novel analysis techniques for Web and social network analysis Recommendation engines and contextual adaptation for Web tasks Web-based information retrieval and information generation Supporting heterogeneity across modalities, sensors, and channels on the Web. User modeling and personalization approaches on the Web.
最終更新：Dou Sun（）

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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
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
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