Journal of Information Science最新文献_第3页

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-03-05 DOI: 10.1177/01655515241233741

Matheus Albergaria

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The role of institutional policies in the sustainability of institutional repositories in Africa: A reflection from Ghana 机构政策在非洲机构资料库可持续性中的作用：加纳的思考

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-03-05 DOI: 10.1177/01655515231220167

Osman Imoro, Nampombe Saurombe

{"title":"The role of institutional policies in the sustainability of institutional repositories in Africa: A reflection from Ghana","authors":"Osman Imoro, Nampombe Saurombe","doi":"10.1177/01655515231220167","DOIUrl":"https://doi.org/10.1177/01655515231220167","url":null,"abstract":"Institutional repositories (IRs) are increasingly gaining prominence among African academic institutions, and Ghana is no exception. This can largely be attributed to the enduring value of hosting research outputs from institutional and individual depositors. Despite its increasing adoption, there is a growing concern about the sustainability of open access IRs, particularly in Africa. However, most of these factors that threaten the sustainability of IRs on the continent can be mitigated by enacting comprehensive institutional policies. Thus, this study sought to examine the role of institutional policies in the sustainability of IRs in Ghana. A total of 830 respondents comprised of IR managers, library staff, postgraduate students, lecturers and university librarians (management) from five public universities in Ghana took part in this study. Questionnaires, semi-structured interviews and document analysis were the main instruments used for data collection. The study yielded an overall response rate of 92.8%. The study findings revealed that public universities in Ghana have institutional IR policies that guide the operation, usage and management of their IRs. However, these policies were persuasive in nature and mainly focused on content submission and generation issues. The study underscored the IR policy’s importance in addressing content generation, awareness, advocacy and copyright restriction challenges. The study recommends the necessity of IR policies to focus on other factors such as technical requirements, expertise and others to ensure the sustainability of these repositories.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"6 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140046770","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

A ‘field transformation and social integration’: Settlement information practices of relocated ethnic minorities with small populations in poverty-alleviation areas of Yunnan, China 田野转换与社会融合"：中国云南扶贫地区人口较少民族搬迁安置信息实践

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-03-04 DOI: 10.1177/01655515241228224

Ming Zhu, Han Su, Longxiao Niu

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Detecting multiple coexisting emotions from public emergency opinions 从突发公共事件舆情中发现多种并存情绪

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-02-21 DOI: 10.1177/01655515241227532

Qingqing Li, Zi Ming Zeng, Shouqiang Sun, Ting ting Li, Yingqi Zeng

{"title":"Detecting multiple coexisting emotions from public emergency opinions","authors":"Qingqing Li, Zi Ming Zeng, Shouqiang Sun, Ting ting Li, Yingqi Zeng","doi":"10.1177/01655515241227532","DOIUrl":"https://doi.org/10.1177/01655515241227532","url":null,"abstract":"To detect multiple coexisting emotions from public emergency opinions, this article proposes a novel two-stage multiple coexisting emotion-detection model. First, the text semantic feature extracted through bidirectional encoder representation from transformers (BERT) and the emotion lexicon feature extracted through the emotion dictionary are fused. Then, the emotion subjectivity judgement and multiple coexisting emotion detection are performed in two separate stages. In the first stage, we introduce synthetic minority oversampling technique (SMOTE) to enhance the balance of data distribution and select the optimal classifier to recognise opinion texts with emotion. In the second stage, the label powerset (LP)-SMOTE is proposed to increase the number of the minority category samples, and multichannel emotion classifiers and the decision mechanism are employed to recognise different types of emotions and determine the final coexisting emotion labels. Finally, the Weibo data about coronavirus disease 2019 (COVID-19) are collected to verify the effectiveness of the proposed model. Experiment results indicate that the proposed model outperforms state-of-the-art models, with the F1_macro of 0.8532, the F1_micro of 0.8333, and the hamming loss of 0.0476. The emotion detection results are conducive to decision-making for public emergency departments.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"52 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139954851","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

Research on the strategy for improving the utility of government social media information based on a multi-agent game model 基于多代理博弈模型的政府社交媒体信息效用提升策略研究

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-02-19 DOI: 10.1177/01655515231216019

Ying Feng, Shanshan Zhang, Xiaoyang Sun

{"title":"Research on the strategy for improving the utility of government social media information based on a multi-agent game model","authors":"Ying Feng, Shanshan Zhang, Xiaoyang Sun","doi":"10.1177/01655515231216019","DOIUrl":"https://doi.org/10.1177/01655515231216019","url":null,"abstract":"Government social media (GSM) has become an important tool for government departments to open information, guide public opinion and interact with the government and the people. However, the operation and maintenance of some GSM are not standardised, and the content published is inconsistent with identity positioning, resulting in the realistic dilemma of low utility of GSM information. The purpose of this study is to explore the effective strategies to improve the effectiveness of GSM information. The research is from the perspective of information economics, this article uses evolutionary game theory to build a tripartite evolutionary game model comprising GSM operations departments, government regulators and users in order to explore the evolution process of tripartite game behaviours and the influence of subject behaviour selection on information utility. It subsequently conducts a solution and numerical simulation to demonstrate the influence of different factors on the game results. The experimental results show that there are four situations in which the utility of GSM information affects the evolution and stability strategy of the subject and that changes in different parameter values have significant effects on the results of the three-party game. The evolution trend of the subject behaviour can be changed by increasing the regulatory means of rewards and punishments and establishing an efficient operation mechanism for GSM, thus promoting system convergence to the ideal state. The results of this study can provide references and suggestions for government departments to effectively enhance the effectiveness of GSM information and promote the healthy development of GSM.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"26 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139954848","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 the impact of health information orientation and health information literacy on patients’ engagement with health information 评估健康信息导向和健康信息素养对患者参与健康信息的影响

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-02-19 DOI: 10.1177/01655515241227871

Ferhana Saeed Hashmi, Saira Hanif Soroya, Khalid Mahmood

{"title":"Assessing the impact of health information orientation and health information literacy on patients’ engagement with health information","authors":"Ferhana Saeed Hashmi, Saira Hanif Soroya, Khalid Mahmood","doi":"10.1177/01655515241227871","DOIUrl":"https://doi.org/10.1177/01655515241227871","url":null,"abstract":"Health information engagement can help individuals to find and use reliable sources of health information to make informed decisions about their health. This helps to improve their health outcomes and prevent unnecessary healthcare costs. Drawing upon the cognitive behavioural theory, this pilot study postulated a model to understand that the consequences of information orientation in terms of information engagement (behaviour), information literacy (cognition) and information avoidance (behaviour) in post-COVID era under health context. Furthermore, the moderation effects of health information literacy (HIL) are also calculated in managing health information avoidance beahvior. This pilot study is conducted in the context of social media exposure to health information by diabetic patients in Pakistani community. The proposed model was tested using Partial Lease Square Structural Equational Modelling (PLS-SEM). The data were collected from 166 diabetic patients (active social media users) through a survey. The study findings suggest that health information orientation on social media leads to HIL and engagement. Whereas, it has significant negative impact towards health information avoidance behaviour. Furthermore, HIL significantly increases health information engagement of diabetic patients. Also, HIL moderates the relationship between health information orientation and information engagement positively, whereas between health information orientation and health information avoidance negatively.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"39 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139954967","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

The imitation game: Detecting human and AI-generated texts in the era of ChatGPT and BARD 模仿游戏：在 ChatGPT 和 BARD 时代检测人类和人工智能生成的文本

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-02-14 DOI: 10.1177/01655515241227531

Kadhim Hayawi, Sakib Shahriar, Sujith Samuel Mathew

{"title":"The imitation game: Detecting human and AI-generated texts in the era of ChatGPT and BARD","authors":"Kadhim Hayawi, Sakib Shahriar, Sujith Samuel Mathew","doi":"10.1177/01655515241227531","DOIUrl":"https://doi.org/10.1177/01655515241227531","url":null,"abstract":"The potential of artificial intelligence (AI)-based large language models (LLMs) holds considerable promise in revolutionising education, research and practice. However, distinguishing between human-written and AI-generated text has become a significant task. This article presents a comparative study, introducing a novel dataset of human-written and LLM-generated texts in different genres: essays, stories, poetry and Python code. We employ several machine learning models to classify the texts. Results demonstrate the efficacy of these models in discerning between human and AI-generated text, despite the dataset’s limited sample size. However, the task becomes more challenging when classifying GPT-generated text, particularly in story writing. The results indicate that the models exhibit superior performance in binary classification tasks, such as distinguishing human-generated text from a specific LLM, compared with the more complex multiclass tasks that involve discerning among human-generated and multiple LLMs. Our findings provide insightful implications for AI text detection, while our dataset paves the way for future research in this evolving area.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"2015 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139955084","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

The adoption footprints of Koha as a library management system in university libraries of Pakistan 巴基斯坦大学图书馆采用 Koha 作为图书馆管理系统的足迹

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-01-08 DOI: 10.1177/01655515231214980

M. Jabeen

{"title":"The adoption footprints of Koha as a library management system in university libraries of Pakistan","authors":"M. Jabeen","doi":"10.1177/01655515231214980","DOIUrl":"https://doi.org/10.1177/01655515231214980","url":null,"abstract":"The study investigated the adoption footprints of Koha in university libraries in Pakistan by using the Unified Theory of Acceptance and Use of Technology (UTAUT) model. The UTAUT model suggests that the decision to use technology is influenced by performance expectancy, effort expectancy, social influence and facilitating conditions. The study used a survey questionnaire to collect data from 250 librarians working in libraries and analysed the results using a quantitative research approach. The findings of the study revealed that performance expectancy, effort expectancy and facilitating conditions positively influenced the intention to adopt Koha. Interestingly, social influence had no significant effect on the adoption of Koha, indicating that the opinions of others did not play a significant role in the decision to adopt Koha. Personal innovativeness had a negative impact on the behavioural intention of librarians to use Koha. Personal innovativeness refers to the willingness of individuals to adopt new technology, and this finding suggests that librarians who are less willing to adopt new technology may be less probably to adopt Koha. The study also found that the significance of information and communication technology (ICT) background among librarians in Pakistan was low. This can be attributed to inadequate perceived social influence and facilitating conditions towards adopting new information technology (IT) solutions. To increase the use of Koha among librarians, the study recommends that libraries improve social influence and provide better conditions for adoption. This study has important implications for library managers and policymakers who are seeking to enhance the use of open-source library management system (LMS) in university libraries.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"18 17","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139445332","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

Utilising crowdsourcing and text mining to enhance information extraction from social media: A case study in handling COVID-19 supply requests in Thailand 利用众包和文本挖掘加强社交媒体的信息提取：处理泰国 COVID-19 供应请求的案例研究

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2024-01-06 DOI: 10.1177/01655515231220164

Prapaporn Rattanatamrong, Yutthana Boonpalit, Manassanan Boonnavasin

{"title":"Utilising crowdsourcing and text mining to enhance information extraction from social media: A case study in handling COVID-19 supply requests in Thailand","authors":"Prapaporn Rattanatamrong, Yutthana Boonpalit, Manassanan Boonnavasin","doi":"10.1177/01655515231220164","DOIUrl":"https://doi.org/10.1177/01655515231220164","url":null,"abstract":"Social media platforms are critical for disaster communication and relief efforts. Rapid and precise social media post analysis is required for effective disaster response. This article presents a comprehensive study of a framework that combines crowdsourcing and text mining techniques to enhance data extraction from social media. The research focuses on a particular case study of COVID-19 pandemic medical supply request, which shows several key findings. First, the incorporation of domain-specific data during the training of named entity recognition (NER) models is essential for accurately identifying and retrieving important entities, such as the names of medical supplies and hospitals. Second, the implementation of a hybrid system leads to improvement in the extraction of information from social media posts. Finally, the involvement of crowdsourcing is found to be significant in the validation, verification, and filtering of disorganised information within the hybrid system. Our performance analysis demonstrates that the use of hybrid models has the potential to significantly improve the extraction of supply names (by up to 37%) and hospital names (by up to 66%), especially in the absence of a comprehensive vocabulary or specially trained NER models. During the COVID-19 supply shortage in Thailand, volunteers utilised hybrid models to expedite the identification of the necessary information. Experiment results demonstrated significant improvement in the accuracy of extracted data, the ability to acquire relevant information in real-time, the capacity to handle a substantial number of posts and the practical benefit of the proposed framework.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":"4 1","pages":""},"PeriodicalIF":2.4,"publicationDate":"2024-01-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139380820","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

Between trust and mistrust: Source evaluation behaviours of Brazilian and French adolescents searching for scientific information on the Web 信任与不信任之间：巴西和法国青少年在网络上搜索科学信息时的来源评估行为

IF 2.4 4区管理学

Journal of Information Science Pub Date : 2023-12-18 DOI: 10.1177/01655515231214997

W. Castilhos, M. Macedo-Rouet, Luisa Massarani, C. Almeida

{"title":"Between trust and mistrust: Source evaluation behaviours of Brazilian and French adolescents searching for scientific information on the Web","authors":"W. Castilhos, M. Macedo-Rouet, Luisa Massarani, C. Almeida","doi":"10.1177/01655515231214997","DOIUrl":"https://doi.org/10.1177/01655515231214997","url":null,"abstract":"In this qualitative study, 41 adolescents from Brazil and France were asked to conduct web-based searches for science-related information. Different search contexts and current socio-scientific issues were used in order to represent a variety of situations that adolescents are confronted with in their everyday life. Subsequently, they were interviewed about their individual searches. We sought to answer three questions: (a) What types of sources do Brazilian and French adolescents access in their searches? (b) Which evaluation criteria do they use to select the sources they access? (c) Do their source choices differ according to the search context? The results reveal that, regardless of search context, the participants demonstrated trust in news sources, and mistrust towards official sources, mostly as a function of the topic. Receiver-related criteria were particularly relevant for the Brazilian adolescents when selecting the sources, while the French participants based their choices more on parameters related to the content. Results suggest how previous knowledge and interest on the topic can influence teenagers’ choices.","PeriodicalId":54796,"journal":{"name":"Journal of Information Science","volume":" 16","pages":""},"PeriodicalIF":2.4,"publicationDate":"2023-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"138963424","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