Social and Behavioral Sciences Commons^™

Modeling Deception: A Case Study Of Email Phishing, Abdullah Almoqbil, Brian C. O'Connor, Richard Anderson, Jibril Shittu, Patrick Mcleod

Proceedings from the Document Academy

Information manipulation for deception continues to evolve at a remarkable rate. Artificial intelligence has greatly reduced the burden of combing through documents for evidence of manipulation; but it has also enabled the development of clever modes of deception.

In this study, we modeled deception attacks by examining phishing emails that successfully evaded detection by the Microsoft 365 filtering system. The sample population selected for this study was the University of North Texas students, faculty, staff, alumni and retirees who maintain their university email accounts. The model explains why certain individuals and organizations are selected as targets, and identifies potential counter …

Bringing Political Upheaval And Cultural Trauma Into Order: A Document-Theoretical Approach To The Social Significance Of Bibliographic Classification Systems, Joacim Hansson

Proceedings from the Document Academy

This paper explores the ability to define bibliographic classification systems as socially significant documents in a way that goes beyond their immediate function in the information retrieval process. It does so in dialog with theory on documents and documentality, and knowledge organization theory. Two examples show how development of new classification systems address social and cultural structures in periods of rapid social and cultural change and crisis. The first example discusses the design of a classification system for Swedish public libraries in the late 1910s, and the second addresses the re-formulation of the Holocaust experience in American Jewish library classification …

Volume 41, Number 4, December 2021 Olac Newsletter, Laura Kane Mcelfresh, Jan Mayo, Yoko Kudo, Jay Weitz, Lisa Romano, Richard N. Leigh

OLAC Newsletters

Digitized December 2021 issue of the OLAC Newsletter.

Ceal Task Force For Review Of The Ermb Interim Report, Naomi Shiraishi, Charlene Chou, Liangyu Fu, Xiuying Zou

Journal of East Asian Libraries

In response to the huge demand of managing e-resources, ERMB (The CEAL Task Force on Metadata Standards and Best Practices for East Asian Electronic Resources) was charged to investigate the best practices for creating, manipulating, and managing electronic content and metadata for resources in East Asian languages in November 2013. In light of emerging trends such as digital humanities, digital harvesting and repositories as well as e-resources metadata in the next-gen library systems, the CEAL Task Force for Review of the ERMB was formed in June 2020 and was charged to examine the current ERMB Task Force’s charge to see …

News – Digital Library Of Georgia, Mandy L. Mastrovita

Georgia Library Quarterly

No abstract provided.

Volume 41, Number 3, September 2021 Olac Newsletter, Laura Kane Mcelfresh, Jennifer M. Eustis, Richard N. Leigh, Jan Mayo, Yoko Kudo, Jay Weitz, Lisa Romano

OLAC Newsletters

Digitized September 2021 issue of the OLAC Newsletter.

"Tracking And Offering Electronic Resources During A Pandemic", Megan Ruenz

The Christian Librarian

No abstract provided.

"Pivoting Cataloging Staff To Remote Work Without An Integrated Library System: Gaining Metadata Skills And Promoting Faculty Scholarship With Wikidata", Christa Strickler

The Christian Librarian

No abstract provided.

"An Unusual Story Of Perseverance, Privilege And Prosperity During A Pandemic", Nadine Ellero

The Christian Librarian

No abstract provided.

Volume 41, Number 2, June 2021 Olac Newsletter, Laura Kane Mcelfresh, Jennifer M. Eustis, Richard N. Leigh, Jan Mayo, Yoko Kudo, Jay Weitz, Lisa Romano

OLAC Newsletters

Digitized June 2021 issue of the OLAC Newsletter.

Otrouha: A Corpus Of Arabic Etds And A Framework For Automatic Subject Classification, Eman Abdelrahman, Fatimah Alotaibi, Edward A. Fox, Osman Balci

The Journal of Electronic Theses and Dissertations

Although the Arabic language is spoken by more than 300 million people and is one of the six official languages of the United Nations (UN), there has been less research done on Arabic text data (compared to English) in the realm of machine learning, especially in text classification. In the past decade, Arabic data such as news, tweets, etc. have begun to receive some attention. Although automatic text classification plays an important role in improving the browsability and accessibility of data, Electronic Theses and Dissertations (ETDs) have not received their fair share of attention, in spite of the huge number …

Volume 41, Number 1, March 2021 Olac Newsletter, Laura Kane Mcelfresh, Jennifer M. Eustis, Richard N. Leigh, Jan Mayo, Yoko Kudo, Jay Weitz, Lisa Romano

OLAC Newsletters

Digitized March 2021 issue of the OLAC Newsletter.