Publication Date
| In 2026 | 0 |
| Since 2025 | 0 |
| Since 2022 (last 5 years) | 1 |
| Since 2017 (last 10 years) | 1 |
| Since 2007 (last 20 years) | 1 |
Descriptor
| Academic Libraries | 2 |
| Algorithms | 2 |
| Foreign Countries | 2 |
| Artificial Intelligence | 1 |
| Bias | 1 |
| Bibliographic Records | 1 |
| Case Studies | 1 |
| Cognitive Processes | 1 |
| Computation | 1 |
| Context Effect | 1 |
| Cultural Influences | 1 |
| More ▼ | |
Author
| Lazinger, Susan S. | 1 |
| Michael Ridley | 1 |
Publication Type
| Journal Articles | 2 |
| Information Analyses | 1 |
| Reports - Descriptive | 1 |
| Reports - Research | 1 |
| Tests/Questionnaires | 1 |
Education Level
| Higher Education | 1 |
| Postsecondary Education | 1 |
Audience
Location
| Canada | 1 |
| Israel | 1 |
| United States | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Direct linkMichael Ridley – College & Research Libraries, 2024
As part of a broader information literacy agenda, academic libraries are interested in advancing algorithmic literacy. Folk theories of algorithmic decision-making systems, such as recommender systems, can provide insights into designing and delivering enhanced algorithmic literacy initiatives. Users of the Spotify music recommendation systems…
Descriptors: Foreign Countries, Academic Libraries, Information Literacy, Artificial Intelligence
Peer reviewedLazinger, Susan S. – Information Technology and Libraries, 1994
Describes the history and development of the algorithm that was used to produce a union list of monographs for ALEPH (Automated Library Expandable Program Hebrew University), Israel's research library network. The literature on merging online records is reviewed, case studies are examined, and problems with matching and merging online…
Descriptors: Academic Libraries, Algorithms, Bibliographic Records, Case Studies
