Results 31 to 40 of about 1,050 (199)
History and Theory, Volume 61, Issue 4, Page 119-133, December 2022., 2022 ABSTRACT Artificial intelligence is making history, literally. Machine learning tools are playing a key role in crafting images and stories about the past in popular culture. AI has probably also already invaded the history classroom. Large language models such as GPT‐3 are able to generate compelling, non‐plagiarized texts in response to simple ...
WULF KANSTEINER
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A systematic review of academic dishonesty in online learning environments
Journal of Computer Assisted Learning, Volume 38, Issue 4, Page 907-928, August 2022., 2022 Abstract Background During the COVID‐19 pandemic, online learning has played an increasingly crucial role in the educational system. Academic dishonesty (AD) in online learning is a challenging problem that represents a complex psychological and social phenomenon for learners.
Feng‐Kuang Chiang, Dan Zhu, Wenhao Yu
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Journal of the Association for Information Science and Technology, Volume 73, Issue 2, Page 148-171, February 2022., 2022 Abstract Although digital humanities (DH) has received a lot of attention in recent years, its status as “a discipline in its own right” (Schreibman et al., A companion to digital humanities (pp. xxiii–xxvii). Blackwell; 2004) and its position in the overall academic landscape are still being negotiated.
Jan Luhmann, Manuel Burghardt
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Detection of Online Contract Cheating Through Stylometry: A Pilot Study
Online Learning, 2020 Contract cheating, instances in which a student enlists someone other than themselves to produce coursework, has been identified as a growing problem within academic integrity literature and in news headlines. The percentage of students who have utilized
David Ison
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Research on Fake News Detection Based on Diffusion Growth Rate
Wireless Communications and Mobile Computing, Volume 2022, Issue 1, 2022., 2022 With the rapid development of the Internet, social media has become a convenient online platform for users to obtain information, express opinions, and communicate with each other. Users are keen to participate in discussions on hot topics and exchange opinions on social media. A lot of fake news has also arisen at this moment.
Jinyin Chen +7 more
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Introducing the Bibliography on Stylometry
The Dragonfly's Gaze, 2017 This post is a brief presentation of the Stylometry Bibliography we recently published on Zotero. What is the scope of this bibliography? The understanding of the term stylometry underlying the conceptual scope of the bibliography is relatively wide and ...
Christof Schöch
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Drafting Standards for Stylometry
, 2023 This workshop will discuss the field of stylometry and authorship attribution, and its application to the development of legal evidence. Workshop participants will be invited to participate in a discussion of the development of consensus standards to help improve reliability and to permit evaluation of proposed stylometric evidence.
Juola, Patrick, Byszuk, Joanna
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Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 Most of the current authentication mechanisms adopt the “one‐time authentication,” which authenticate users for initial access. Once users have been authenticated, they can access network services without further verifications. In this case, after an illegal user completes authentication through identity forgery or a malicious user completes ...
Jianfeng Guan +3 more
wiley +1 more source
Security and Communication Networks, Volume 2021, Issue 1, 2021., 2021 Compromising the online social network account of a genuine user, by imitating the user’s writing trait for malicious purposes, is a standard method. Then, when it happens, the fast and accurate detection of intruders is an essential step to control the damage.
Suleyman Alterkavı +2 more
wiley +1 more source
Classification of Russian Texts by Genres Based on Modern Embeddings and Rhythm
Моделирование и анализ информационных систем, 2022 The article investigates modern vector text models for solving the problem of genre classification of Russian-language texts. Models include ELMo embeddings, BERT language model with pre-training and a complex of numerical rhythm features based on lexico-
Ksenia Vladimirovna Lagutina
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