Journal of the Association for Information Science and Technology最新文献_第2页

ChatGPT for complex text evaluation tasks

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

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

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

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

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

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

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

Exploring the digital gray zone of online medicinal markets emerging from search 探索由搜索产生的在线医药市场的数字灰色地带

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-10-12 DOI: 10.1002/asi.24956

Kristofer Rolf Söderström, Olof Sundin

{"title":"Exploring the digital gray zone of online medicinal markets emerging from search","authors":"Kristofer Rolf Söderström, Olof Sundin","doi":"10.1002/asi.24956","DOIUrl":"https://doi.org/10.1002/asi.24956","url":null,"abstract":"This explorative study investigates the emergence of gray zone markets from search engines amidst the global expansion of online markets. With the analytical approach of infrastructural inversion, we examine how the search infrastructure constructs access to a gray zone market including both authorized online pharmacies and unauthorized vendors. Using Sweden and Google Search as a case, we explore the online presence of three products (vitamin D, paracetamol, and Viagra), through search engine result page analysis, web crawling, and network analysis. Infrastructural inversion unveils the typically invisible mechanisms of search engines, considering user queries, algorithmic priorities, SEO practices, and pharmacy regulations. We find gray zones only emerge in searches for erectile disfunction medicinal products and information, where unauthorized vendors successfully competed for visibility in search engine rankings. A complex web of conditions can steer consumers toward gray zone markets, complicating the access to safe and regulated medicinal products. This can expose individuals to risks associated with unverified medicinal products, but also challenges the integrity of the online health information infrastructure.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 13","pages":"1498-1514"},"PeriodicalIF":2.8,"publicationDate":"2024-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24956","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142860870","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

When data sharing is an answer and when (often) it is not: Acknowledging data-driven, non-data, and data-decentered cultures 什么时候数据共享是答案，什么时候（通常）不是：承认数据驱动、非数据和以数据为中心的文化

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-10-11 DOI: 10.1002/asi.24957

Isto Huvila, Luanne S. Sinnamon

{"title":"When data sharing is an answer and when (often) it is not: Acknowledging data-driven, non-data, and data-decentered cultures","authors":"Isto Huvila, Luanne S. Sinnamon","doi":"10.1002/asi.24957","DOIUrl":"https://doi.org/10.1002/asi.24957","url":null,"abstract":"Contemporary research and innovation policies and advocates of data-intensive research paradigms continue to urge increased sharing of research data. Such paradigms are underpinned by a pro-data, normative data culture that has become dominant in the contemporary discourse. Earlier research on research data sharing has directed little attention to its alternatives as more than a deficit. The present study aims to provide insights into researchers' perspectives, rationales and practices of (non-)sharing of research data in relation to their research practices. We address two research questions, (RQ1) what underpinning patterns can be identified in researchers' (non-)sharing of research data, and (RQ2) how are attitudes and data-sharing linked to researchers' general practices of conducting their research. We identify and describe data-decentered culture and non-data culture as alternatives and parallels to the data-driven culture, and describe researchers de-inscriptions of how they resist and appropriate predominant notions of data in their data practices by problematizing the notion of data, asserting exceptions to the general case of data sharing, and resisting or opting out from data sharing.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"75 13","pages":"1515-1530"},"PeriodicalIF":2.8,"publicationDate":"2024-10-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/asi.24957","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142861285","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

Negative consequences of information gatekeeping through algorithmic technologies: An Annual Review of Information Science and Technology (ARIST) paper

IF 2.8 2区管理学

Journal of the Association for Information Science and Technology Pub Date : 2024-10-03 DOI: 10.1002/asi.24955

Devendra Potnis, Iman Tahamtan, Luke McDonald

{"title":"Negative consequences of information gatekeeping through algorithmic technologies: An Annual Review of Information Science and Technology (ARIST) paper","authors":"Devendra Potnis, Iman Tahamtan, Luke McDonald","doi":"10.1002/asi.24955","DOIUrl":"https://doi.org/10.1002/asi.24955","url":null,"abstract":"Rarely any study investigates how information gatekeeping through the solutions and services enabled by algorithms, hereafter referred to as algorithmic technologies (AT), creates negative consequences for the users. To fill this gap, this state-of-the-art review analyzes 229 relevant articles from diverse academic disciplines. We employed thematic analysis to identify, analyze, classify, and reveal the chain reactions among the negative consequences. We found that the gatekeeping of information (text, audio, video, and graphics) through AT like artificial intelligence (e.g., chatbots, large language models, machine learning, robots), decision support systems (used by banks, grocery stores, police, etc.), hashtags, online gaming platforms, search technologies (e.g., voice assistants, ChatGPT), and Web 3.0 (e.g., Internet of Things, non-fungible tokens) creates or reinforces cognitive vulnerability, economic divide and financial vulnerability, information divide, physical vulnerability, psychological vulnerability, and social divide virtually and in the offline world. Theoretical implications include the hierarchical depiction of the chain reactions among the primary, secondary, and tertiary divides and vulnerabilities. To mitigate these negative consequences, we call for concerted efforts using top-down strategies for governments, organizations, and technology experts to attain more transparency, accountability, ethical behavior, and moral practices, and bottom-up strategies for users to be more alert, discerning, critical, and proactive.","PeriodicalId":48810,"journal":{"name":"Journal of the Association for Information Science and Technology","volume":"76 1","pages":"262-288"},"PeriodicalIF":2.8,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143111437","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