Suchergebnisse - "Hong, Lingzi"

Investigating fake financial news: a systematic review of trends, themes, LLM-based detection methods, and theories.

Autoren: Rashid, Mohotarema Hong, Lingzi Ryan, Sarah

Quelle: Aslib Journal of Information Management; 2025, Vol. 77 Issue 6, p1223-1254, 32p

Schlagwörter: LANGUAGE models, GOVERNMENT regulation, MISLEADING financial statements, USER-centered system design

Social Media and Crisis Informatics Research in LIS.

Autoren: Dinh, Ly Hong, Lingzi Dumas, Catherine et al.

Quelle: Proceedings of the Association for Information Science & Technology; Oct2024, Vol. 61 Issue 1, p749-753, 5p

Schlagwörter: SOCIAL media, INFORMATION science, LIBRARY science, NATURAL disasters, MIXED methods research

Automatic classification of research data sets into the Chinese Library Classification with generative large language model.

Autoren: Luo, Pengcheng Hong, Lingzi Nie, Lei

Quelle: Electronic Library; 2025, Vol. 43 Issue 4, p600-618, 19p

Author response: IRAK2 directs stimulus-dependent nuclear export of inflammatory mRNAs

Autoren: Zhou, Hao Bulek, Katarzyna Li, Xiao et al.

Verfügbarkeit: https://doi.org/10.7554/elife.29630.039

Hate Cannot Drive Out Hate: Forecasting Conversation Incivility following Replies to Hate Speech

Autoren: Yu, Xinchen Blanco, Eduardo Hong, Lingzi

Quelle: Proceedings of the International AAAI Conference on Web and Social Media. 18:1740-1752

Schlagwörter: FOS: Computer and information sciences, Computer Science - Computers and Society, 03 medical and health sciences, Computer Science - Computation and Language, 0302 clinical medicine, 0504 sociology, 05 social sciences, Computers and Society (cs.CY), Computation and Language (cs.CL)

Zugangs-URL: http://arxiv.org/abs/2312.04804

Remote cataloging productivity: an exploratory study in a national library.

Autoren: Ali, Irhamni Hong, Lingzi Chen, Jiangping

Quelle: Library Management; 2022, Vol. 43 Issue 6/7, p401-414, 14p

University students' self-assessment of data literacy: A validation study.

Autoren: Kim, Jeonghyun Hong, Lingzi Yoon, Ayoung

Quelle: PLoS ONE; 4/28/2025, Vol. 20 Issue 4, p1-11, 11p

Schlagwörter: CONFIRMATORY factor analysis, EXPLORATORY factor analysis, CURRICULUM planning, INCORPORATION, COLLEGE students, MEASURING instruments

Online Incivility and Contextual Factors: Data‐Driven Detection and Analysis.

Autoren: Dumas, Catherine Ghosh, Souvick Hong, Lingzi et al.

Quelle: Proceedings of the Association for Information Science & Technology; Oct2023, Vol. 60 Issue 1, p770-774, 5p

Schlagwörter: SOCIAL media, INFORMATION sharing, INFORMATION science, INFORMATION technology, INFORMATION policy, ARTIFICIAL intelligence, DIGITAL technology

Development and Validation of a Data Literacy Assessment Scale.

Autoren: Kim, Jeonghyun Hong, Lingzi Evans, Sarah et al.

Quelle: Proceedings of the Association for Information Science & Technology; Oct2023, Vol. 60 Issue 1, p620-624, 5p

Schlagwörter: INFORMATION technology, DIGITAL technology, ARTIFICIAL intelligence, INFORMATION sharing, INFORMATION policy

Hate Cannot Drive out Hate: Forecasting Conversation Incivility following Replies to Hate Speech

Autoren: Yu, Xinchen Blanco, Eduardo Hong, Lingzi

Index Begriffe: Computer Science - Computers and Society, Computer Science - Computation and Language, text

URL: http://arxiv.org/abs/2312.04804

Nostalgia on Twitter: Detection and Analysis of a Large‐Scale Dataset.

Autoren: Stanley Jothiraj, Fiona Victoria Hong, Lingzi Mashhadi, Afra

Quelle: Proceedings of the Association for Information Science & Technology; Oct2024, Vol. 61 Issue 1, p349-360, 12p

Schlagwörter: NOSTALGIA, MEMORY, NATURAL language processing, SOCIAL sciences

Reviews & Products: TWITTER (Web resource)

An Emerging Adults' Patient Portal Behavioral Model: Integrating Perceived Risk Theory, Technology Acceptance Model, and Personal Innovativeness.

Autoren: Velverthi, Navya Prybutok, Victor Hong, Lingzi

Quelle: International Journal of Human-Computer Interaction; Oct2024, Vol. 40 Issue 20, p6428-6441, 14p

Schlagwörter: PATIENT portals, TRANSITION to adulthood, YOUNG adults, TECHNOLOGY Acceptance Model, STRUCTURAL equation modeling

Toward measuring data literacy for higher education: Developing and validating a data literacy self‐efficacy scale.

Autoren: Kim, Jeonghyun Hong, Lingzi Evans, Sarah

Quelle: Journal of the Association for Information Science & Technology; Aug2024, Vol. 75 Issue 8, p916-931, 16p

Schlagwörter: MULTITRAIT multimethod techniques, SCALE analysis (Psychology), SELF-efficacy, RESEARCH funding, RESEARCH methodology evaluation, PROBABILITY theory, QUESTIONNAIRES, DESCRIPTIVE statistics, CHI-squared test, EXPERIMENTAL design, INFORMATION literacy, RESEARCH methodology, RESEARCH, COLLEGE students, MASTERS programs (Higher education), FACTOR analysis, DATA analysis software, RELIABILITY (Personality trait)

Community college students' self-assessment of data literacy: exploring differences amongst demographic, academic, and career characteristics.

Autoren: Evans, Sarah Amber Hong, Lingzi Kim, Jeonghyun et al.

Quelle: Information & Learning Science; 2024, Vol. 125 Issue 3/4, p232-251, 20p

Characteristics of information spreading across nations.

Autoren: Yu, Xinchen Reddy, Daida Shashidhar Bentula, Lasya et al.

Quelle: Proceedings of the Association for Information Science & Technology; Oct2020, Vol. 57 Issue 1, p1-6, 6p

Schlagwörter: SOCIAL media, CONTENT analysis, MICROBLOGS, INFORMATION dissemination

Reviews & Products: TWITTER (Web resource)

Relationships Between Acoustic Characteristics and Intelligibility Scores: A Reanalysis of Japanese Speakers' Productions of American English Liquids.

Autoren: Aoyama, Katsura Hong, Lingzi Flege, James E. et al.

Quelle: Language & Speech; Dec2023, Vol. 66 Issue 4, p1030-1045, 16p

Schlagwörter: RESEARCH, ENGLISH language, INTELLIGIBILITY of speech, COMPARATIVE grammar, LEARNING strategies, COMPARATIVE studies, ENGLISH as a foreign language, RESEARCH funding, SOUND, STATISTICAL correlation

Learning Domain‐specific Semantic Representation from Weakly Supervised Data to Improve Research Dataset Retrieval.

Autoren: Luo, Pengcheng Hong, Lingzi Wang, Jimin et al.

Quelle: Proceedings of the Association for Information Science & Technology; Oct2022, Vol. 59 Issue 1, p205-214, 10p

Schlagwörter: INFORMATION retrieval, SEMANTICS, METADATA, DEEP learning, EXPERIMENTAL design

From corpus creation to formative discovery: the power of big-data-rhetoric teams and methods.

Autoren: Ryan, Sarah E. Hong, Lingzi Rashid, Mohotarema

Quelle: Review of Communication; Jan2023, Vol. 23 Issue 1, p38-61, 24p

Schlagwörter: CIVIL rights of people with disabilities, VETERANS with disabilities, FIREARM licenses, DATA scrubbing, NATURAL language processing, CORPORA

Dynamic sentiment sensing of cities with social media data.

Autoren: Ye, Guanghui Peng, Ze Wei, Jinyu et al.

Quelle: Electronic Library; 2022, Vol. 40 Issue 4, p413-434, 22p

Rural Librarians as Health Information Intermediaries: How Librarians Complicate "Rural," Leverage Kairotic Opportunities, and Communicate through Health Ideographs.

Autoren: Ryan, Sarah E. Evans, Sarah A.

Quelle: Rhetoric of Health & Medicine; Spring2025, Vol. 8 Issue 2, p127-157, 31p