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WebSci 2025: ACM Web Science

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截稿日期:
2024-11-30
通知日期:
2025-01-31
会议日期:
2025-05-20
会议地点:
New Brunswick, New Jersey, USA
届数:
17
浏览: 33883   关注: 1   参加: 0

会伴指数 (CP-I)

52.1 / 100
全站第 1,109 名 / 共 5,646 个会议 · 前 20%
学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
78
社区关注 (10%)
15
资料公开度 (15%)
50

用到的输入: 有据可查的届次：17 · 在会伴关注它的研究者：1 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
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 45% —— 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 2026-08-30

征稿

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.
由 Dou Sun 最后更新于

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