Proceedings of the Association for Information Science and Technology最新文献

Solidarity and Care: Information Activism in the Death Panel Podcast Community 团结与关怀:死亡小组播客社区的信息行动主义

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.949

Emma May

{"title":"Solidarity and Care: Information Activism in the Death Panel Podcast Community","authors":"Emma May","doi":"10.1002/pra2.949","DOIUrl":"https://doi.org/10.1002/pra2.949","url":null,"abstract":"ABSTRACT This poster highlights the connections between independent media, information activism, and disability through a case study of the podcast Death Panel and its listeners. Death Panel is a leftist podcast that explores issues of affordability in medical care and the dearth of public health resources. The ongoing project explores the independent media created by disabled people that concern their frustrations with societal and governmental neglect, and their desires to build community and a collective political movement for social change. Since the COVID‐19 pandemic, the podcast's listenership has grown substantially. Similarly, the number of members in the Death Panel Discord group has increased to over 2,000 members over the past two years. As of February 21st, 2023, there are 2,954 members in the Discord server. For many members, especially those who are disabled and chronically ill, the podcast's Discord has served as a significant site of politicization and community‐building during the COVID‐19 pandemic. Through semi‐structured interviews, this project will explore the political and activist implications of information for marginalized people.","PeriodicalId":37833,"journal":{"name":"Proceedings of the Association for Information Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136009297","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Detection of Musical Borrowing Using Data Science 利用数据科学检测音乐借阅

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.843

Steven Walczak, Thomas E. Moore‐Pizon

引用次数: 0

Sharing Qualitative Interview Data in Dialogue with Research Participants 在与研究参与者的对话中分享定性访谈数据

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.783

Live Håndlykken Kvale, Nils Pharo, Peter Darch

{"title":"Sharing Qualitative Interview Data in Dialogue with Research Participants","authors":"Live Håndlykken Kvale, Nils Pharo, Peter Darch","doi":"10.1002/pra2.783","DOIUrl":"https://doi.org/10.1002/pra2.783","url":null,"abstract":"ABSTRACT Research data sharing is embedded in policies, guidelines and requirements commonly promoted by research funding organizations that demand data to be “as open as possible, as closed as necessary” and FAIR. This paper discusses the challenges of balancing privacy protection with data sharing in a PhD project involving long‐tail, small‐sized qualitative human subjects' data. Based on experiences and feedback from project participants, we argue that privacy protection is about respecting the participants and their self‐image. This can be achieved through dialogue and involvement of the participants building on the principles of shared stewardship. Further, we suggest that de‐identification and plain language consent materials are better at protecting privacy than anonymisation, which in a digital data environment is difficult to achieve and not necessarily a sensible approach for qualitative data, where the gold is in the details. The literature indicates that it matters to participants whether data are reused for research or other purposes, and that they trust the institutions. This supports our claim that research data services must find better solutions for restricted sharing when necessary.","PeriodicalId":37833,"journal":{"name":"Proceedings of the Association for Information Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136009548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Toward the Conceptualization of Data Quality Assurance in Research Data Repositories 研究数据存储库中数据质量保证的概念化研究

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.931

Dong Joon Lee, Faizan Ali, Besiki Stvilia, Yuanying Pang, Karthik Gonthina

引用次数: 0

Result Assessment Tool: A Software Toolkit for Conducting Studies Based on Search Results 结果评估工具:一个基于搜索结果进行研究的软件工具包

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.972

Sebastian Sünkler, Nurce Yagci, Daniela Sygulla, Sonja von Mach, Sebastian Schultheiß, Dirk Lewandowski

引用次数: 0

Linking Allusion Words: A Method of Combining Fine‐Grained Co‐citation Relationship and Semantic Features 链接典故词:一种细粒度共引关系与语义特征相结合的方法

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.937

Xiaomin Li, Hao Wang, Jingwen Qiu

{"title":"Linking Allusion Words: A Method of Combining <scp>Fine‐Grained</scp> Co‐citation Relationship and Semantic Features","authors":"Xiaomin Li, Hao Wang, Jingwen Qiu","doi":"10.1002/pra2.937","DOIUrl":"https://doi.org/10.1002/pra2.937","url":null,"abstract":"ABSTRACT It is a common phenomenon for Tang poems to cite the allusions, which can generate a rich relationship network. However, insufficient attention has been paid to investigating the relationship network. To address the research gap, by employing theories and methods of information science, this study presents a method of combining fine‐grained co‐citation relationship and semantic features to link allusion words. We constructed a fine‐grained co‐citation network between allusion words by adding cited positions and sentiments. We then transformed the fine‐grained weights into relational similarities. Moreover, we also leveraged the explanatory text as semantic information for each allusion word, mapping the semantic embedding vectors and calculating the similarities as the semantic similarities. Finally, we applied the link prediction algorithm to implement the allusion word linking. Our experimental results reveal that adding the cited positions and sentiments as well as semantic similarities can improve the performance of allusion word linking, achieving 0.869 on score. Additionally, we explore the linking results from the perspective of the shortest path and find some regular knowledge. Overall, our study extends the application of information science and promotes the development of Chinese traditional cultural resources.","PeriodicalId":37833,"journal":{"name":"Proceedings of the Association for Information Science and Technology","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2023-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136009560","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative Artificial Intelligence (GAI) Divide: An Empirical Examination of the Micro–Macro Factors that Predict GAI Knowledge and Use 生成式人工智能(GAI)划分:预测GAI知识和使用的微观-宏观因素的实证检验

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.884

Christopher Ball, Kuo‐Ting Huang

引用次数: 0

Connecting iSchools and Society Through Scientific Research: A Worldwide Exploratory Study 通过科学研究连接学校和社会:一项世界性的探索性研究

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.844

Di Wang, Lihong Zhou, Gobinda Chowdhury

引用次数: 0

Trust in Search Engines: Developing a Trust Measure and Applying It in an Experiment 搜索引擎中的信任:建立一种信任度量方法并在实验中应用

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.822

Helena Häußler

引用次数: 0

Seize the Initiative: In‐Process LGBTQ+ Research Findings and Their Impact on Connecting Practices in New Zealand GLAMU Institutions 抓住主动权:正在进行的LGBTQ+研究成果及其对新西兰GLAMU机构连接实践的影响

Proceedings of the Association for Information Science and Technology Pub Date : 2023-10-01 DOI: 10.1002/pra2.815

Day Alison

引用次数: 0