Zhibang Quan, Zhentao Liang, Ming Ma, Jinyu Wei, Gang Li, Jin Mao
{"title":"From citation intent to knowledge contribution: Classifying what cited papers actually contribute","authors":"Zhibang Quan, Zhentao Liang, Ming Ma, Jinyu Wei, Gang Li, Jin Mao","doi":"10.1002/asi.70127","DOIUrl":"https://doi.org/10.1002/asi.70127","url":null,"abstract":"<p>Understanding the flow and evolution of scientific knowledge is essential for assessing research impact. Existing citation analysis methods mainly focus on citing authors' subjective intents, failing to consistently characterize cited papers' knowledge contributions. This study proposes the Knowledge Contribution Taxonomy (KCT), derived from the Scientific Research Logic Model, which identifies the type of knowledge a cited paper contributes based on the citation context. KCT classifies citations into Method, Resource Tool, Empirical Finding, and Background, further distinguishing core from non-core contributions. We propose a Dual-Path Fusion model for the classification task, which achieves an accuracy of 85.5%, outperforming mainstream large language models. An analysis of 802,202 citations from the ACL Anthology reveals that core knowledge contributions account for only 39.09% of all citations. The core knowledge contribution citation count achieves higher hit rates for award-winning papers than the traditional citation count at all ranking cutoffs, reflecting the value of differentiating knowledge contributions for research evaluation and impact prediction. In dissemination prediction experiments, KCT outperforms citation intent classification, demonstrating its stronger predictive validity for scholarly dissemination. By focusing on the knowledge contributions of cited papers, the KCT can support differentiated research evaluation.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 12","pages":"1496-1513"},"PeriodicalIF":5.1,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149375864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Why “human-AI collaboration” obscures what actually happens in information seeking","authors":"Chirag Shah, Lynda Tamine","doi":"10.1002/asi.70059","DOIUrl":"https://doi.org/10.1002/asi.70059","url":null,"abstract":"<p>The rhetoric of “human-AI collaboration” frames contemporary discussions of interacting with artificial intelligence systems. Drawing from 15 years of research in collaborative information seeking, we argue that this metaphor fundamentally misrepresents these interactions and obscures critical issues of agency, accountability, and labor. Real collaboration—whether mediated by algorithms or not—requires mutual understanding, shared goals, reciprocal adaptation, and common ground building. Current AI systems meet none of these criteria. Here we examine what genuine collaboration entails, why the AI industry's appropriation of this language matters, and what we lose when we mistake sophisticated autocomplete for partnership.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 12","pages":"1488-1492"},"PeriodicalIF":5.1,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149375881","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The ultimate forgery: A semiotic deconstruction of large language models as engines of simulated selfhood","authors":"Martin Thellefsen, Alon Friedman","doi":"10.1002/asi.70132","DOIUrl":"https://doi.org/10.1002/asi.70132","url":null,"abstract":"<p>Information science rests on a compact: its mediating signs maintain a traceable relation to what they describe. Large language models (LLMs) break it architecturally, generating discourse that is statistically plausible yet epistemically ungrounded, while standard metrics (precision, recall, relevance) cannot detect the rupture. The field therefore lacks not a further metric but a theory of signs that appear authoritative while ungrounded; we propose critical semiotics as that theory. Treating outputs as observable sign-actions, we argue the LLM is an engine of the ultimate forgery: a simulation whose object is meaning-making itself. A stratified reading (Saussurean langue, Derridean écriture, Peircean process semiotics, sharpened by Leone's “absolute fake”) yields Structural Selfhood: an enunciative “I” sustained by recursive architecture rather than interiority. The rupture is located precisely: the model satisfies Peircean speculative grammar and functions methodeutically, while <i>critic</i>, where a sign is held answerable to its object, has no locus in the architecture. Two consequences follow: a systemic erosion of veridiction, that is, of the capacity to distinguish truth-telling from its simulation, and generative algorithmic epistemic injustice, the presentation of a corpus's distribution as knowledge itself. Mata v. Avianca's fabricated citations render the mechanism legible. Critical semiotics is thus an indispensable analytical resource.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 12","pages":"1514-1529"},"PeriodicalIF":5.1,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70132","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149375862","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Documenting change: Conceptualizing transition through an information lens","authors":"Ian Ruthven, Jenny Bronstein, Alison Hicks, Jette Seiden Hyldegård, Pamela McKenzie, Gunilla Widén","doi":"10.1002/asi.70017","DOIUrl":"https://doi.org/10.1002/asi.70017","url":null,"abstract":"<p>This special issue of the “Journal of the Association for Information Science and Technology” examines transitions from an informational perspective. The 10 papers included in this issue present diverse accounts of how people experience personal and professional transitions and the role of information within these transitions. In this editorial, we place these contributions within the wider context of the study of transitions, and provide a thematic analysis of these contributions, their methodological and theoretical approaches, and how issues of space, time, emotions, and agency appear within transitions.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 12","pages":"1479-1487"},"PeriodicalIF":5.1,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149375894","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Phenomenon-based classifications and the epistemic fallacy: A reply to Thellefsen","authors":"Claudio Gnoli","doi":"10.1002/asi.70058","DOIUrl":"https://doi.org/10.1002/asi.70058","url":null,"abstract":"","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 12","pages":"1493-1495"},"PeriodicalIF":5.1,"publicationDate":"2026-11-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149375966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Any old Tom, Dick, or Harry: The citation impact of author first name genderedness","authors":"Maxime Holmberg Sainte-Marie, Vincent Larivière","doi":"10.1002/asi.70115","DOIUrl":"https://doi.org/10.1002/asi.70115","url":null,"abstract":"<p>This paper examines the relationship between the genderedness of authors' first names and citation distributions in US-affiliated scholarly production from 2010 to 2019. Merging a first name genderedness table derived from Wikidata with Web of Science publication data, we develop a relative distributional framework that compares first name, article, and citation distributions by both disciplinary group and author role along a continuous genderedness spectrum. The lexical structure of the corpus proves stable across author roles, while productivity diverges substantially by disciplinary group: physical sciences show a consistent masculine lean, social sciences a feminine one, with amplitude remaining stable across groups despite these directional differences. Once productivity is controlled for, citation analyses net of publication volume reveal a pervasive deficit across disciplinary groups and author roles: only unambiguously masculine names accumulate citations in excess of their publication volume, while feminine, neutral, and moderately masculine names all fall short of it. This asymmetry is strongest in the life sciences and weakest in the physical sciences except among middle authors, where the pattern reflects the gender composition of large collaborative teams rather than evaluative bias in citing behavior. Taken together, these results are consistent with the hypothesis that first name genderedness shapes citation recognition through implicit bias operating in low-deliberation evaluative contexts.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 11","pages":"1418-1437"},"PeriodicalIF":5.1,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70115","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205435","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Critical questions for documenting collections as data: Provocations from developing datasheets for web archives datasets","authors":"Emily Maemura, Helena Byrne","doi":"10.1002/asi.70113","DOIUrl":"https://doi.org/10.1002/asi.70113","url":null,"abstract":"<p>Scholarship on documentation of datasets is increasingly concerned with capturing the context, socio-technical processes, and decisions shaping data. “Datasheets for datasets” is a recent approach developed by researchers in machine learning that foregrounds transparency and uncovering bias through data documentation. Recognizing that machine learning documentation is already being applied for cultural heritage collections as data, we assess the effectiveness of applying datasheets to document web archives datasets. Our study involved community workshops to determine priorities for what to include in a datasheet. We then developed three sample datasheets for datasets from the UK Web Archive, observing and recording the process. Our findings identify the resources needed to create a datasheet, outlining the effort required in terms of time, roles and expertise required. Findings also reveal several notable tensions that emerged in the process, locating mismatches between a framework from machine learning and applications in cultural heritage settings. We develop five provocations to prompt critical consideration of assumptions about how datasets are created and used that might be embedded in any documentation framework. We conclude with an agenda for future research engaging with data documentation in web archives, cultural heritage collections, and data curation.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 11","pages":"1394-1417"},"PeriodicalIF":5.1,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70113","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"From divergence to convergence: How human–bot collaboration influences the evolution of collective knowledge in online knowledge communities","authors":"Shuangyan Gao, Jiangnan Qiu, Fangfang Zhang, Jia Zhao","doi":"10.1002/asi.70123","DOIUrl":"https://doi.org/10.1002/asi.70123","url":null,"abstract":"<p>Human–bot collaborative knowledge building is increasingly prevalent in online knowledge communities (OKCs). However, it is unclear how human and bot individual activities and their collaboration influence different stages of collective knowledge evolution. Based on a dataset of 337,830 edit and talk records sampled from 200 randomly selected Wikipedia articles, we first conducted an exploratory analysis to examine how the frequency of human and bot activities and the “frequency–breadth–depth” of their collaboration patterns change across stages of collective knowledge evolution. Furthermore, we utilized a fixed-effect multinomial logistic model to assess the effects of these variables on the stages of collective knowledge evolution. The results indicate the distinct impacts of human/bot activities and human–bot collaboration patterns on idea generating, idea organizing, and intellectual convergence. The core findings include (1) human activities promote idea generating and organizing, whereas bot activities facilitate idea organizing; (2) human-led collaboration patterns enhance idea generating and organizing, while co-led collaboration patterns promote intellectual convergence. These findings contribute to information science and human–bot collaboration research, as well as guide platform design and community administration of OKCs. Specifically, we recommend the implementation of stagedependent bot deployment strategies and human–bot collaboration incentives that align with the stages of collective knowledge evolution.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 11","pages":"1438-1456"},"PeriodicalIF":5.1,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205497","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The future of scholarly blogs: Scholarly bloggers' perspectives on long-term preservation","authors":"Catharina Ochsner, Heinz Pampel","doi":"10.1002/asi.70126","DOIUrl":"https://doi.org/10.1002/asi.70126","url":null,"abstract":"<p>Scholarly blogs are an important venue for scholarly communication; however, they are not yet integrated into the preservation workflows of digital research and information infrastructures, which places their long-term access at risk. By using Star and Ruhleder's (1996) dimensions of information infrastructure as a theoretical framework, in this study we investigate social and organizational factors that impact blog preservation and derive implications for the implementation of blogs into an information infrastructure. We conducted and qualitatively analyzed 13 semi-structured interviews with scholarly bloggers to identify bloggers' perceived challenges concerning blog preservation and their requirements for an information infrastructure tasked with preserving scholarly blogs. We found that participants named or indirectly described existing infrastructure institutions and their services that are already working toward preserving the scholarly record. The findings suggest extending the scope of existing infrastructure institutions to include scholarly blog preservation.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 11","pages":"1457-1473"},"PeriodicalIF":5.1,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.70126","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149205434","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Failure in research? A methodological reflection on researching information behavior among older adults with diabetes in real-world settings","authors":"Xiaoqian Zhang, Shun Yang, Yintao Wang","doi":"10.1002/asi.70112","DOIUrl":"https://doi.org/10.1002/asi.70112","url":null,"abstract":"<p>Questionnaire-based designs remain central to information behavior research, yet the practical assumptions embedded in standardized survey administration are rarely examined. This paper offers a methodological reflection on five pilot studies conducted in preparation for a questionnaire-based investigation of information behavior among older adults with type 2 diabetes. Across hospital outpatient clinics, rural households, senior learning institutions, residential care facilities, and social media platforms, recurring tensions emerged between survey design assumptions and real-world research conditions. Rather than treating these tensions as isolated feasibility issues, the study conceptualizes them as methodological “failures” that revealed how questionnaire research operates as a situated and socially structured practice. The findings demonstrate that survey completion is shaped by environmental constraints, relational dynamics, institutional mediation, and perceptions of legitimacy. They challenge the assumption of the autonomous respondent and show that participation is trust-mediated and institutionally structured. By documenting iterative redesign across contexts, the paper advances a process-oriented account of methodological reflexivity and argues for greater transparency in reporting pilot-stage challenges. The study contributes conceptual and operational guidance for designing questionnaire-based research with aging populations and highlights the value of treating methodological failure as a productive source of knowledge in information science.</p>","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"77 11","pages":"1375-1393"},"PeriodicalIF":5.1,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149206216","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}