Journal of Information Science最新文献_第2页

Adoption and uses of cloud computing in academic libraries: A systematic literature 学术图书馆采用和使用云计算的情况：系统文献

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-07-25 DOI: 10.1177/01655515241263272

Muhammad Asim, Muhammad Arif, Muhammad Rafiq

{"title":"Adoption and uses of cloud computing in academic libraries: A systematic literature","authors":"Muhammad Asim, Muhammad Arif, Muhammad Rafiq","doi":"10.1177/01655515241263272","DOIUrl":"https://doi.org/10.1177/01655515241263272","url":null,"abstract":"This study aims to synthesise the findings of research on cloud computing adoption and use in libraries. This systematic literature review is based on Preferred Reporting Items for Systematic Reviews and Meta-Analyses method and comprises publications in the English language, published in the four world-renowned databases. This study identified various cloud computing practices, including library automation systems on clouds, email services, applications of social media, cloud storage (Dropbox), consortium services, digital library and file sharing. The libraries adopted cloud computing due to cost-effectiveness, storage facility, ease-to-use, flexibility and scalability, time-saving, lack of in-house skill set and ubiquitous nature of the technologies. Several factors, for example, security issues, privacy of data, slow Internet connectivity and high subscription rate affect the adoption of cloud computing. The critical adoption, usage factors and various challenges identified would provide valuable insight to library professionals to decide how to employ cloud-based practices to offer innovative services in academic libraries.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"12 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-07-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141785715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Revisiting delayed recognition in science: A large-scale and comprehensive study 重新审视科学中的延迟识别：大规模综合研究

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-05-30 DOI: 10.1177/01655515241244462

Alex J Yang, Star X Zhao, Sanhong Deng

引用次数: 0

What financial topics do people search for? An analysis of search queries using text mining 人们搜索哪些金融话题？利用文本挖掘对搜索查询进行分析

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-05-08 DOI: 10.1177/01655515241227533

Nursabrina Abdul Jalil, Suraya Hamid

引用次数: 0

A review of challenges, algorithms and evaluation methods in news recommendation 新闻推荐的挑战、算法和评估方法综述

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-04-29 DOI: 10.1177/01655515241244497

Somnath Bhattacharya, Shankar Prawesh

{"title":"A review of challenges, algorithms and evaluation methods in news recommendation","authors":"Somnath Bhattacharya, Shankar Prawesh","doi":"10.1177/01655515241244497","DOIUrl":"https://doi.org/10.1177/01655515241244497","url":null,"abstract":"News reading is an important social activity and to help readers quickly find news articles of their interest, news content providers and aggregators use recommender systems. Such systems are designed to address a variety of challenges. Inspiration for algorithmic design is taken from various domains which has resulted in the creation of an enormous body of literature. Also, different methods are used for evaluation of the recommendation algorithms. In this study, we review these developments and present three major components in news recommendation research. First, we list and categorise the challenges faced while designing news recommender systems. We especially list the different algorithmic designs used for generating personalised and non-personalised recommendations. We discuss the major neural network architectures that are being increasingly used for both collaborative and content-based recommender systems. Next, we list the two major evaluation methods and also list some popular datasets used in evaluation. Finally, we identify the emerging trends in news recommender research. We find that the issues related to fake news, trust and use of personal data for news recommendation are gaining wider attention, and deep learning methods are being increasingly used to address these issues.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"68 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140840052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

You change the way you talk: Examining the network, toxicity and discourse of cross-platform users on Twitter and Parler during the 2020 US Presidential Election 你改变了你说话的方式：考察 2020 年美国总统大选期间 Twitter 和 Parler 上跨平台用户的网络、毒性和言论

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-04-29 DOI: 10.1177/01655515241238405

Jaihyun Park, JungHwan Yang, Amanda Tolbert, Katherine Bunsold

{"title":"You change the way you talk: Examining the network, toxicity and discourse of cross-platform users on Twitter and Parler during the 2020 US Presidential Election","authors":"Jaihyun Park, JungHwan Yang, Amanda Tolbert, Katherine Bunsold","doi":"10.1177/01655515241238405","DOIUrl":"https://doi.org/10.1177/01655515241238405","url":null,"abstract":"This study examines code-switching behaviours of cross-platform social media users specifically between Twitter and Parler during the 2020 US Presidential Election. Utilising social identity theory as a framework, we examine messages related to voter fraud by users who migrated from Twitter to Parler following Twitter bans. Our analysis covers 38,798 accounts active on both platforms, analysing 1.5 million tweets and more than 100,000 parleys. The key findings of the study are as follows: First, we discovered differing levels of network homophily between high degree centrality and low-degree centrality cross-platform users, illustrating how individuals with varying degrees of influence engage differently across platforms. Second, we observed higher toxicity levels in heterogeneous networks, which include both in-group and out-group members, compared with homogeneous networks that are primarily composed of in-group members. This suggests the level of toxicity in online spaces correlates with the level of group diversity. Third, we found that cross-platform users created distinctive discourse community with in-group and out-group members, indicating that content and discussions within these networks are influenced by the social identity dynamics of the users. Our study contributes to the current research in political communication and information science by proposing comparative user analyses across multiple social media platforms. Focusing on a critical period of platform transition during a contentious political event, our study offers insights into the dynamics of online communities and the shifting nature of political language used by social media users.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"105 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140839789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Benefits of open access to researchers from lower-income countries: A global analysis of reference patterns in 1980–2020 开放式获取对低收入国家研究人员的益处：1980-2020 年全球参考模式分析

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-04-20 DOI: 10.1177/01655515241245952

Henrik Karlstrøm, Dag W Aksnes, Fredrik N Piro

引用次数: 0

Scientists’ behaviour towards information disorder: A systematic review 科学家的信息失调行为：系统回顾

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-04-09 DOI: 10.1177/01655515241244460

Jorge Revez, Luís Corujo

{"title":"Scientists’ behaviour towards information disorder: A systematic review","authors":"Jorge Revez, Luís Corujo","doi":"10.1177/01655515241244460","DOIUrl":"https://doi.org/10.1177/01655515241244460","url":null,"abstract":"How are scientists coping with misinformation and disinformation? Focusing on the triangle scientists/mis-disinformation/behaviour, this study aims to systematically review the literature to answer three research questions: What are the main approaches described in the literature concerning scientists’ behaviour towards mis-disinformation? Which techniques or strategies are discussed to tackle information disorder? Is there a research gap in including scientists as subjects of research projects concerning information disorder tackling strategies? Following PRISMA 2020 statement, a checklist and flow diagram for reporting systematic reviews, a set of 14 documents was analysed. Findings revealed that the literature might be interpreted following Wilson and Maceviciute’s model as creation, acceptance and dissemination categories. Crossing over these categories, we advanced three standing points to analyse scientists’ positions towards mis-disinformation: inside, inside-out and outside-in. The stage ‘Creation/facilitation’ was the least present in our sample, but ‘Use/rejection/acceptance’ and ‘Dissemination’ were depicted in the literature retrieved. Most of the literature approaches were about inside-out perspectives, meaning that the topic is mainly studied concerning communication issues. Regarding the strategies against the information disorder, findings suggest that preventive and reactive strategies are simultaneously used. A strong appeal to a multidisciplinary effort against mis-disinformation is widely present, but there is a gap in including scientists as subjects of research projects.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"25 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140602413","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Assessing journals through a three-dimensional framework based on article citation, author and institution influence 通过基于文章引用、作者和机构影响力的三维框架评估期刊

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-03-26 DOI: 10.1177/01655515241238401

Ziqiang Zeng, Cuicui Jia, Weiye Zhang, Xinyi Zhuang, Xuan Li

{"title":"Assessing journals through a three-dimensional framework based on article citation, author and institution influence","authors":"Ziqiang Zeng, Cuicui Jia, Weiye Zhang, Xinyi Zhuang, Xuan Li","doi":"10.1177/01655515241238401","DOIUrl":"https://doi.org/10.1177/01655515241238401","url":null,"abstract":"Journal assessment is of great significance to promote the development of academic platforms. Citation analysis is a recognised tool to assess the citation performance of journals. However, due to the shortcomings such as the inflated Journal Impact Factor and heterogeneity of the citations, additional dimensions are necessary to be considered to balance with the article citation. This article constructs a three-dimensional journal assessment framework to measure the comprehensive influence of a journal based on article citation, author and institution influence. The CRITIC-Entropy weighting method is employed to calculate the weighted average scores for the three dimensions, respectively. Then, a newly defined Pareto-dominated set-based sum of TOPSIS score (PDS-based STS) approach is developed to assess the comprehensive influence of journals. A sample of 76 journals in Economics field is selected to demonstrate the effectiveness and validity of the proposed assessment method. The Chartered Association of Business Schools’ Academic Journal Guide 2021 (CABS-AJG 2021) which is an expert-based journal rating is chosen as a baseline model. It has been found that the assessment method using PDS-based STS shows a more rational journal ranking than that based on the Journal Impact Factor if using the CABS-AJG 2021’s ratings as the benchmark model.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"11 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140312224","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

Short text classification using semantically enriched topic model 使用语义丰富的主题模型进行短文分类

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-03-21 DOI: 10.1177/01655515241230793

Farid Uddin, Yibo Chen, Zuping Zhang, Xin Huang

{"title":"Short text classification using semantically enriched topic model","authors":"Farid Uddin, Yibo Chen, Zuping Zhang, Xin Huang","doi":"10.1177/01655515241230793","DOIUrl":"https://doi.org/10.1177/01655515241230793","url":null,"abstract":"Modelling short text is challenging due to the small number of word co-occurrence and insufficient semantic information that affects downstream Natural Language Processing (NLP) tasks, for example, text classification. Gathering information from external sources is expensive and may increase noise. For efficient short text classification without depending on external knowledge sources, we propose Expressive Short text Classification (EStC). EStC consists of a novel document context-aware semantically enriched topic model called the Short text Topic Model (StTM) that captures words, topics and documents semantics in a joint learning framework. In StTM, the probability of predicting a context word involves the topic distribution of word embeddings and the document vector as the global context, which obtains by weighted averaging of word embeddings on the fly simultaneously with the topic distribution of words without requiring an additional inference method for the document embedding. EStC represents documents in an expressive (number of topics × number of word embedding features) embedding space and uses a linear support vector machine (SVM) classifier for their classification. Experimental results demonstrate that EStC outperforms many state-of-the-art language models in short text classification using several publicly available short text data sets.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"20 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140196251","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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

One-step multi-view clustering via deep-level semantics exploiting 利用深层语义进行一步式多视图聚类

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-03-11 DOI: 10.1177/01655515241233742

Jiawei Peng, Yong Mi, Zhenwen Ren, Yu Kang

{"title":"One-step multi-view clustering via deep-level semantics exploiting","authors":"Jiawei Peng, Yong Mi, Zhenwen Ren, Yu Kang","doi":"10.1177/01655515241233742","DOIUrl":"https://doi.org/10.1177/01655515241233742","url":null,"abstract":"Multi-view clustering (MVC) has gained promising performance improvement compared with traditional signal-view clustering due to the complementary information of multiple views. However, existing MVC methods exploit clustering structure by utilising signal-layer mapping, such that they cannot exploit the underlying deep-level semantic information in complex and interleaved multi-view data. Moreover, existing methods usually conduct multi-view fusion and clustering separately, which results in unpromising performance. To address the above problems, one-step MVC via deep-level semantics exploiting (DLSE) is proposed to exploit deep-level semantic information and learn the indicator matrix using a one-step manner. To be specific, a novel deep matrix factorisation (DMF) paradigm is designed to exploit the hierarchical semantics via a layer-wise scheme, so that samples from the same clusters are forced to be closer in the low-dimensional space layer by layer. Furthermore, to make the learned representation preserve the local geometric structure of data, DLSE introduces a local preservation regularisation to guide DMF. Meanwhile, by employing spectral rotating fusion, the cluster indicator can be obtained directly. Extensive experiments demonstrate the superiority of DLSE in contrast with some state-of-the-art methods.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"41 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140106125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"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