Journal of the Association for Information Science and Technology最新文献_第3页

Essential work, invisible workers: The role of digital curation in COVID-19 Open Science 基础性工作，隐形工人：数字策展在COVID-19开放科学中的作用

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-11-23 DOI: 10.1002/asi.24965

Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena

{"title":"Essential work, invisible workers: The role of digital curation in COVID-19 Open Science","authors":"Irene V. Pasquetto, Amina A. Abdu, Natascha Chtena","doi":"10.1002/asi.24965","DOIUrl":"https://doi.org/10.1002/asi.24965","url":null,"abstract":"In this paper, we examine the role digital curation practices and practitioners played in facilitating open science (OS) initiatives amid the COVID-19 pandemic. In Summer 2023, we conducted a content analysis of available information regarding 50 OS initiatives that emerged—or substantially shifted their focus—between 2020 and 2022 to address COVID-19 related challenges. Despite growing recognition of the value of digital curation for the organization, dissemination, and preservation of scientific knowledge, our study reveals that digital curatorial work often remains invisible in pandemic OS initiatives. In particular, we find that, even among those initiatives that greatly invested in digital curation work, digital curation is seldom mentioned in mission statements, and little is known about the rationales behind curatorial choices and the individuals responsible for the implementation of curatorial strategies. Given the important yet persistent invisibility of digital curatorial work, we propose a shift in how we conceptualize digital curation from a practice that merely “adds value” to research outputs to a practice of knowledge production. We conclude with reflections on how iSchools can lead in professionalizing the field and offer suggestions for initial steps in that direction.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 4","pages":"703-717"},"PeriodicalIF":2.8,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24965","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622559","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}

引用次数: 0

Information avoidance: A critical conceptual review. An Annual Review of Information Science and Technology (ARIST) paper 信息回避：一个重要的概念回顾。信息科学与技术年鉴（alist）论文

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-11-21 DOI: 10.1002/asi.24968

Alison Hicks, Pamela McKenzie, Jenny Bronstein, Jette Seiden Hyldegård, Ian Ruthven, Gunilla Widén

{"title":"Information avoidance: A critical conceptual review. An Annual Review of Information Science and Technology (ARIST) paper","authors":"Alison Hicks, Pamela McKenzie, Jenny Bronstein, Jette Seiden Hyldegård, Ian Ruthven, Gunilla Widén","doi":"10.1002/asi.24968","DOIUrl":"https://doi.org/10.1002/asi.24968","url":null,"abstract":"Information avoidance has long been in the shadow of information seeking. Variously seen as undesired, maladaptive, or even pathological, information avoidance has lacked the sustained attention and conceptualization that has been provided to other information practices. It is also, perhaps uniquely among information practices, often invoked to blame or censure those who engage in it. However, closer examination of information avoidance reveals nuanced and complex patterns of interactions with information, ones that often have positive and beneficial outcomes. We challenge the simplistic tenor of this conversation through this critical conceptual review of information avoidance. Starting from an examination of how information avoidance has been treated within information science and related disciplines, we then draw upon the various terms that have been used to describe a lack of engagement with information to establish seven core characteristics of the concept. We subsequently use this analysis to establish our definition of information avoidance as practices that moderate interaction with information by reducing the intensity of information, restricting control over information, and/or excluding information based on perceived properties. We consider the implications of this definition and its view of information avoidance as a significant information practice on information research.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 1","pages":"326-346"},"PeriodicalIF":2.8,"publicationDate":"2024-11-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24968","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143117897","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}

引用次数: 0

“I wish I could use any language as it comes to mind”: User experience in digital platforms in the context of multilingual personal information management “我希望我能使用任何想到的语言”：多语言个人信息管理背景下的数字平台用户体验

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-11-19 DOI: 10.1002/asi.24964

Lilach Alon, Maja Krtalić

{"title":"“I wish I could use any language as it comes to mind”: User experience in digital platforms in the context of multilingual personal information management","authors":"Lilach Alon, Maja Krtalić","doi":"10.1002/asi.24964","DOIUrl":"https://doi.org/10.1002/asi.24964","url":null,"abstract":"In today's linguistically diverse world, managing personal information across multiple languages presents a challenge. This study engaged 16 multilingual participants to explore their user experience in the context of multilingual personal information management (MPIM), with a focus on inclusivity, universality, and equity. Addressing two main questions, the study explores the challenges users face on digital platforms in MPIM contexts and their ideal platform features. Findings highlight key issues in MPIM platform design, including unsupported languages and integration of visual aesthetics. We also identify user preferences for ideal platform features, such as language flexibility and efficient information retrieval. The study suggests the need for more inclusive, universal, and equitable platform designs that cater to the specific requirements of multilingual users. Ultimately, this study underscores the critical need for improved MPIM support and emphasizes the significance of continued exploration in this area, establishing it as a vital field of future research.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 4","pages":"686-702"},"PeriodicalIF":2.8,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622279","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}

引用次数: 0

ChatGPT for complex text evaluation tasks ChatGPT用于复杂的文本评估任务

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-11-13 DOI: 10.1002/asi.24966

Mike Thelwall

引用次数: 0

Associating cognitive abilities with naturalistic search behavior 将认知能力与自然搜索行为联系起来

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-11-06 DOI: 10.1002/asi.24963

Tung Vuong, Pritom Kumar Das, Tuukka Ruotsalo

{"title":"Associating cognitive abilities with naturalistic search behavior","authors":"Tung Vuong, Pritom Kumar Das, Tuukka Ruotsalo","doi":"10.1002/asi.24963","DOIUrl":"https://doi.org/10.1002/asi.24963","url":null,"abstract":"Differences in cognitive abilities affect search behaviors, but this has mostly been observed in laboratory experiments. There is limited research on how users search for information in real-world, naturalistic settings and how real-world search behaviors relate to cognitive abilities. In this study, we investigated a wide range of behavioral data captured from real-life search tasks, their association with users' cognitive abilities, and the potential for automatically inferring cognitive abilities from these data. Furthermore, we aimed to determine the data quantity and monitoring duration needed to effectively estimate cognitive abilities from naturalistic behavior. Twenty individuals with βvarying cognitive abilities participated in the experiments in which their everyday search behavior was continuously recorded for 14 days. Their cognitive ability was evaluated through standard tests conducted individually. Data consisted of over 800 h of monitoring, including 2022 queries extracted from 1,442,447 screen frames and associated operating system logs. Using these data, naturalistic search behaviors were associated with cognitive abilities, and predictive models were trained. The results showed that lower selective attention was found to be associated with longer dwelling on selected search results. Faster psychomotor speed and higher fluid intelligence were found to be associated with a greater amount of text read on selected pages. Predictive models exhibited small error rates in predicting cognitive abilities.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 4","pages":"665-685"},"PeriodicalIF":2.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24963","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622444","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}

引用次数: 0

Data, not documents: Moving beyond theories of information-seeking behavior to advance data discovery 数据，而不是文档：超越信息寻求行为理论，推进数据发现

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-11-06 DOI: 10.1002/asi.24962

Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill

{"title":"Data, not documents: Moving beyond theories of information-seeking behavior to advance data discovery","authors":"Anthony J. Million, Jeremy York, Sara Lafia, Libby Hemphill","doi":"10.1002/asi.24962","DOIUrl":"https://doi.org/10.1002/asi.24962","url":null,"abstract":"Many theories of human information behavior (HIB) assume that information objects are in text document format. This paper argues four important HIB theories are insufficient for describing users' search strategies for data because of assumptions about the attributes of objects that users seek. We first review and compare four HIB theories: Bates' berrypicking, Marchionni's electronic information search, Dervin's sense-making, and Meho and Tibbo's social scientist information-seeking. All four theories assume that information-seekers search for text documents. Next, we compare these theories to search behavior by analyzing Google Analytics data from the Inter-university Consortium for Political and Social Research (ICPSR). Users took direct, scenic, and orienting paths when searching for data. We also interviewed ICPSR users (n = 20), and they said they needed dataset documentation and contextual information to find data. However, Dervin's sense-making alone cannot explain the information-seeking behaviors that we observed. Instead, what mattered most were object attributes determined by the type of information that users sought (i.e., data, not documents). We conclude by suggesting an alternative frame for building user-centered data discovery tools.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 4","pages":"649-664"},"PeriodicalIF":2.8,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24962","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143622443","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}

引用次数: 0

Conceptual models of the sociotechnical: Introduction to special issue 社会技术概念模型：特刊导论

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-11-04 DOI: 10.1002/asi.24958

Katrina Fenlon, Peter Organisciak, Andrea Thomer, Nicholas M. Weber

引用次数: 0

Integration patterns in the use of metadata for data sense-making during relevance evaluation: An interpretable deep learning-based prediction 关联评估期间使用元数据进行数据意义构建的集成模式：基于可解释深度学习的预测

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-10-29 DOI: 10.1002/asi.24961

Qiao Li, Ping Wang, Chunfeng Liu, Xueyi Li, Jingrui Hou

{"title":"Integration patterns in the use of metadata for data sense-making during relevance evaluation: An interpretable deep learning-based prediction","authors":"Qiao Li, Ping Wang, Chunfeng Liu, Xueyi Li, Jingrui Hou","doi":"10.1002/asi.24961","DOIUrl":"https://doi.org/10.1002/asi.24961","url":null,"abstract":"Integrating diverse cues from metadata to make sense of retrieved data during relevance evaluation is a crucial yet challenging task for data searchers. However, this integrative task remains underexplored, impeding the development of effective strategies to address metadata's shortcomings in supporting this task. To address this issue, this study proposes the “Integrative Use of Metadata for Data Sense-Making” (IUM-DSM) model. This model provides an initial framework for understanding the integrative tasks performed by data searchers, focusing on their integration patterns and associated challenges. Experimental data were analyzed using an interpretable deep learning-based prediction approach to validate this model. The findings offer preliminary support for the model, revealing that data searchers engage in integrative tasks to utilize metadata effectively for data sense-making during relevance evaluation. They construct coherent mental representations of retrieved data by integrating systematic and heuristic cues from metadata through two distinct patterns: within-category integration and across-category integration. This study identifies key challenges: within-category integration entails comparing, classifying, and connecting systematic or heuristic cues, while across-category integration necessitates considerable effort to integrate cues from both categories. To support these integrative tasks, this study proposes strategies for mitigating these challenges by optimizing metadata layouts and developing intelligent data retrieval systems.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 3","pages":"621-641"},"PeriodicalIF":2.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24961","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424141","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}

引用次数: 0

The role of online search platforms in scientific diffusion 在线搜索平台在科学传播中的作用

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-10-20 DOI: 10.1002/asi.24959

Kyriakos Drivas

引用次数: 0

Falling behind again? Characterizing and assessing older adults' algorithm literacy in interactions with video recommendations 又落后了？描述和评估老年人在与视频推荐互动中的算法素养

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-10-19 DOI: 10.1002/asi.24960

Yuhao Zhang, Jiqun Liu

{"title":"Falling behind again? Characterizing and assessing older adults' algorithm literacy in interactions with video recommendations","authors":"Yuhao Zhang, Jiqun Liu","doi":"10.1002/asi.24960","DOIUrl":"https://doi.org/10.1002/asi.24960","url":null,"abstract":"Algorithms play a significant role in shaping our experiences of interacting with intelligent information systems but also inherit and amplify data biases, potentially leading to unfair decisions or discriminatory outcomes. This motivates us to investigate users' algorithm literacy, which covers the awareness and knowledge of algorithms and the skills to intervene in the operations of personalization algorithms when interacting with recommendation systems. Since vulnerable groups are more likely to suffer from the negative consequences of algorithmic decision-making, investigating algorithm literacy among such groups is critical. This study aims to examine older adults' algorithm literacy, who are often considered a vulnerable group and labeled as digital laggards in contemporary information society. The empirical evidence collected from 21 participants in in-depth interviews and cognitive mapping studies demonstrated that almost all participants are algorithm-aware to some extent and identified (1) three types of information and sources collected by algorithms in user understanding, (2) two paradigms of how respondents understand personalized recommendations, and (3) two sets of strategies they develop to employ algorithms for improving user experience. The findings shed light on designing human-centered intelligent information systems for unbiased personalization and developing a more inclusive AI-assisted society that equally benefits people of all ages.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 3","pages":"604-620"},"PeriodicalIF":2.8,"publicationDate":"2024-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143424248","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}

引用次数: 0