Bibliography

1. berkowitz-classical-2022
   • author: berkowitz
   • title: berkowitz-classical-2022
   • date: 2022
   • words: 4364
   • flesch: 26
   • summary: YouTube algorithms deal with approximately 98% of all copyright issues and, because YouTube’s business model generates profits primarily via user-uploaded content, it has been found to show bias towards established copyright owners.26 Copyright owners can set preferences for how they want the system to react to instances of copyright infringement, resulting in the automatic monetization of 95% of claims for the copyright owner. BERKOWITZ 4 DISPUTING A COPYRIGHT CLAIM While there is recourse for uploaders facing copyright claims from social media sites, the appeals process can be lengthy and overwhelming.
   • keywords: classical; classical musicians; content; copyright; musicians; youtube
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2. fan-research-2022
   • author: fan
   • title: fan-research-2022
   • date: 2022
   • words: 4918
   • flesch: 13
   • summary: Design principles of intangible cultural heritage metadata The design of the metadata model of intangible cultural heritage information resources should be fully compatible with popular metadata standards. CONNOTATION AND DESIGN PRINCIPLES OF INTAGIBLE CULTURAL HERITAGE METADATA Connotation of intangible cultural heritage metadata The core metadata of this study will be designed based on the DC core metadata set, considering its versatility, scalability, easy conversion between metadata, interoperability between systems, and existing comparisons.
   • keywords: cultural; cultural heritage; heritage; intangible; intangible cultural; metadata; resources
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3. glowack_musial-applying-2022
   • author: glowack_musial
   • title: glowack_musial-applying-2022
   • date: 2022
   • words: 4491
   • flesch: 35
   • summary: IMPLEMENTATION There is a growing number of tools used for topic modeling.21 For this project, we used the R programming language, which has many packages for data preprocessing and topic modeling (TM).22 Below are listed R packages used for this project: • topicmodels with functions: LDA() producing topic models, posterior() for assigning topics to test documents by pretrained models and perplexity() for perplexity calculation 23 • tidytext with tidying functions that allow for re-arrangements and exploring data as well as for interpreting the models • textstem for preprocessing data, including stemming and lemmatization INFORMATION TECHNOLOGY AND LIBRARIES JUNE 2022 APPLYING TOPIC MODELING FOR AUTOMATED CREATION OF DESCRIPTIVE METADATA | GLOWACKA-MUSIAL 5 • tidyr, dplyr, and stringr for data and strings manipulation and arrangements • ggplot2 for data visualizations The code related to topic modeling was mostly reused from the DataCamp class on topic modeling.24 Occasionally, data.table data structure was applied instead of data.frame. This project examines the use of topic modeling to streamline the workflow for assigning subject headings to the digital collection of New Mexico State University news releases issued between 1958 and 2020.
   • keywords: digital; headings; metadata; modeling; subject; topic; topic modeling
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4. guo-contactless-2022
   • author: guo
   • title: guo-contactless-2022
   • date: 2022
   • words: 6927
   • flesch: 44
   • summary: Therefore, a systematic investigation and study of contactless services in public libraries in the pandemic is of great importance for the adaptation and innovation of library services. It is foreseeable that contactless services will become the mainstream of public library services in the future.
   • keywords: contactless; contactless services; information; libraries; library; public; public libraries; reference; self; services
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5. kordahi-ontology-2022
   • author: kordahi
   • title: kordahi-ontology-2022
   • date: 2022
   • words: 7663
   • flesch: 35
   • summary: Thematic Digital Universities are similar to digital libraries, and focus on creating and indexing OER, as well as improving learning in the information age.8 Although Thematic Digital libraries are mostly comprised of OER, they also develop complete training programs with some of these resources (e.g., Massive Open Online Courses, or MOOCs). Digital user profiles relate to the digital representation of a person’s identity and characteristics.14 Digital identity is the sum of digital traces (or “footprints”) relating to an individual or a community found on the Web or in digital systems.
   • keywords: digital; information; learner; learning; ontology; profile; thematic; universities; user
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6. lane-gathering-2022
   • author: lane
   • title: lane-gathering-2022
   • date: 2022
   • words: 2380
   • flesch: 54
   • summary: Although school boards provided tools to meet the “classroom” requirements, they could not ensure that every single student had access to a high-speed internet connection, nor could they offer school library access remotely. All in all, we processed hundreds of card requests and renewals and were able to powerfully illustrate to teachers how they could meaningfully integrate public library resources into their classrooms, either virtually or physically.
   • keywords: library; public; school
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7. mccormack-rarely-2022
   • author: mccormack
   • title: mccormack-rarely-2022
   • date: 2022
   • words: 4937
   • flesch: 33
   • summary: LITERATURE REVIEW While much has been written about methods and criteria for selecting special collections items to be digitized and the effects of digitization on collection accessibility, few authors have discussed the relationships between digital collections and the physical collections from which they were sourced. 3) and digital collections (fig. 4).
   • keywords: books; collection; digital; library; physical; rare
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8. ridley-explainable-2022
   • author: ridley
   • title: ridley-explainable-2022
   • date: 2022
   • words: 7159
   • flesch: 22
   • summary: The purpose of XAI is for AI systems to have “the ability to explain their rationale, characterize their strengths and weaknesses, and convey an understanding of how they will behave in the future” 12 and to “enable human users to understand, appropriately trust, and effectively manage the emerging generation of artificially intelligent partners. Typically, proofs are only available for AI systems that use “inherently interpretable” techniques such as rules, decisions trees, or linear regressions.20 Validations are explanations that confirm the veracity of the AI system.
   • keywords: artificial; artificial intelligence; explainable; explainable artificial; explanation; information; intelligence; learning; libraries; machine; systems; xai
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9. varnum-letters-2022
   • author: varnum
   • title: varnum-letters-2022
   • date: 2022
   • words: 509
   • flesch: 27
   • summary: Explainable Artificial Intelligence (XAI): Adoption and Advocacy / Michael Ridley Kenneth J. Varnum, Editor Marisha C. Kelly, Assistant Editor varnum@umich.edu marisha.librarian@gmail.com https://ejournals.bc.edu/index.php/ital/name-change-policy https://ejournals.bc.edu/index.php/ital/name-change-policy https://ejournals.bc.edu/index.php/ital/call-for-submissions https://ejournals.bc.edu/index.php/ital/article/view/13415 https://ejournals.bc.edu/index.php/ital/article/view/13601 https://ejournals.bc.edu/index.php/ital/article/view/13601 https://ejournals.bc.edu/index.php/ital/article/view/13799 https://ejournals.bc.edu/index.php/ital/article/view/13799 https://ejournals.bc.edu/index.php/ital/article/view/14027 https://ejournals.bc.edu/index.php/ital/article/view/14093 https://ejournals.bc.edu/index.php/ital/article/view/14141 https://ejournals.bc.edu/index.php/ital/article/view/14683 mailto:varnum@umich.edu mailto:marisha.librarian@gmail.com Editorial Board Update This Issue’s Contents Letter from the Editor (June 2022) LETTER FROM THE EDITORS Kenneth J. Varnum and Marisha C. Kelly INFORMATION TECHNOLOGY AND LIBRARIES | JUNE 2022 https://doi.org/10.6017/ital.v41i2.15225 EDITORIAL BOARD UPDATE I would like to open with a message of gratitude to the Editorial Board members who have helped shape the direction and focus of the journal over the past four years.
   • keywords: board; editorial
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