会议信息

Hypertext 2026: ACM Conference on Hypertext and Social Media

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截稿日期:
2026-04-17 已截稿
通知日期:
2026-05-22
会议日期:
2026-09-15
会议地点:
London, UK
届数:
37
QUALIS: A2   浏览: 33442   关注: 3   参加: 0
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会伴指数 (CP-I)

71.7 / 100
全站第 317 名 / 共 5,771 个会议 · 前 6%

信息系统与 Web 第 16 / 254

学术认可 (35%)
92
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
98
社区关注 (10%)
24
资料公开度 (15%)
50

用到的输入: 收录等级：QUALIS A2 · 有据可查的届次：37 · 在会伴关注它的研究者：3 人 · 过去 24 个月打开过本页的研究者：3 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
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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 1.2 · 算于 2026-11-11

征稿

Hypertext 2026 (ACM Conference on Hypertext and Social Media) is a QUALIS A2 conference held in London, UK on 2026-09-15. The paper submission deadline is 2026-04-17 (extended). Acceptance notifications are sent on 2026-05-22.

Tracks Agentic Media Hypertext research offers essential methods for structuring, tracing, and interpreting machine-mediated information flows. We invite contributions that deepen hypertext theory and systems design in order to address contemporary forms of algorithmic mediation – not as general AI studies, but as rigorous extensions of hypertext’s historical commitment to scalable knowledge management and human-centred augmentation. Topics including (but not limited to): Hypertext in AI interfaces: machine-assisted linking, summarisation, and trail formation. Augmentation: principles of human–machine collaboration. Hypertext models for exploring multimodal corpora. Hybrid systems (human/AI) and environments for preservation of meaningful reader agency. Generative Engine Optimisation strategies to support AI understanding of content. Agentic narratives using generative AI to realise unique, interactive traversal experiences across content and/or media. Computational cognitive models of narratives digital creativity and computational storytelling Authorship, Readership, Publishing Hypertext has transformed authoring, reading, and publishing by disrupting, subverting, or complementing book and media culture and practice. In an era when authorship is increasingly hybrid and machine-assisted, hypertext research provides essential tools for preserving legibility, provenance, and interpretive focus across evolving reading and publishing ecosystems. Submissions may focus on specific case studies or theories of new emerging practices, rhetorical analyses, or methodological reflections that take inspiration from fields such as book history, digital humanities and/or media studies or the study of literature. Hypertext as a paradigm can ensure that digital writing cultures remain participatory, accountable, and meaningfully structured. Topics including (but not limited to): Authorship models: contextualising the production of hypertexts. AI, Readers and Authorship: Redrawing relationships and creating new forms of textuality. Book history: historically-informed frameworks, theories, and concepts for understanding hypertextual production, dissemination, and reception. Publishing workflows: hypertext as a paradigm in editorial practices, cross-platform infrastructure and critical literacy. Scholarly editions and adaptations: hypertextual representations and reconceptualisations of extant texts. Rhetorics and poetics: how hypertexts are framed in popular and scholarly discourse, as well as theoretical considerations on forms of expression supported by hypertextual formats. Text, paratext, and multimodality: impact of digital forms on intra- and intertextual connectivity. The future of reading: how reading is likely to evolve, change and adapt in response to cultural and material change. Technical Applications of Hypertext Technical hypertext research continues to provide robust architectures for organising, traversing, and preserving large and heterogeneous datasets. As textual corpora grow exponentially and machine-generated materials permeate every domain, hypertext systems offer versioning, annotation, provenance tracking, and long-term knowledge stewardship. We welcome contributions that further these capabilities through rigorous engineering, formal modelling, and system innovation—advancing hypertext as a foundational technology for the next generation of data-intensive applications. Topics including (but not limited to): Large-scale knowledge systems: hypermedia models, protocols, and architectures Dataset curation: alignment and interpretability Semantic ontologies: linking and graph-based knowledge representations XR/VR/AR: hypertext as spatial linking, and non-Euclidean navigation frameworks Legacy systems: interoperability and long-term digital preservation Principles, Directions, Reflections Hypertext has always been both a technology and a philosophy for engaging with network textuality: from Bush’s epistemology of associative reasoning to Engelbart’s augmentation paradigm to Nelson’s rethinking of text. This track invites research that critically extends these foundational ideas to address the conceptual, ethical, and experiential challenges of contemporary text ecologies shaped by automation and scale. We encourage submissions that deepen hypertext theory itself – its models, histories, and future trajectories – and treat hypertext as a methodological anchor in the contemporary media landscape and the production of cultural objects. Topics including (but not limited to): Philosophical foundations: semiotic and epistemological contexts New directions: Unexplored correspondences with adjacent academic domains or disciplines Future of text: proposals for future hypertext applications and paradigms Hypertext pioneers: Bush, Engelbart, Nelson, today Culture, memory, and cognition in large-scale text environments History of hypertext in cultural, academic, and technical contexts Frameworks for preserving human interpretive agency in automated textual systems Communities (Digital Practice and Social Media) At its core, hypertext research has examined how linking structures shape communities, collaboration, and the circulation of knowledge. Social media platforms and algorithmic agents increasingly govern how these social connections are formed and interpreted. The insights of hypertext research help design communicative systems that support transparency, diversity, and collective intelligence. We welcome submissions that advance hypertext-centred understandings of community dynamics and sociotechnical infrastructures, ensuring that hypertext remains a framework and a paradigm for studying and improving digital culture and scholarship. Research Communities: text remediation in scholarly practice (e.g. impact of AI applications on formulating and tackling research questions) Link analysis and networked discourse grounded in hypertext models Community knowledge systems: collaboration, digital practice, and collective memory Transparency and interpretability in social media ecosystems Visual and big-data: approaches to analysing social link patterns Decentralised, grass-root and alternative community infrastructures Hypertext as resistance: designs for civic discourse and diversity
由 Dou Sun 最后更新于

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