Multidimensional Information Literacy and Fact-Checking Behavior: A Person-Centered Approach Using Latent Profile Analysis
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Latent class analysis expands analytical possibilities by moving beyond predefined groups to reveal hidden subpopulations whose vulnerabilities stem from unique combinations of beliefs, emotional traits, and media engagement patterns.
“Latent class analysis (LCA) expands analytical possibilities by moving beyond predefined groups to reveal hidden subpopulations whose vulnerabilities stem from unique combinations of beliefs, emotional traits, and media engagement patterns (Shen & Wu, 2024).”
From Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project (2026) · cites this paper as Shen & Wu, 2024
Cites
Structural equation models with unobservable variables and measurement error: Algebra and statistics
Fornell, C., & Larcker, D. F. (1981) · Journal of Marketing Research · doi:10.1177/002224378101800313 · Cited by 13,287 · see citing works
Nylund, K. L., Asparouhov, T., & Muthén, B. O. (2007) · Structural Equation Modeling: A Multidisciplinary Journal · doi:10.1080/10705510701575396 · Cited by 11,415 · see citing works
Jones-Jang, S. M., Mortensen, T., & Liu, J. (2021) · American Behavioral Scientist · doi:10.1177/0002764219869406 · Cited by 685 · see citing works
Detecting breaking news rumors of emerging topics in social media
Alkhodair, S. A., Ding, S. H. H., Fung, B. C. M., & Liu, J. (2019) · Information Processing & Management · doi:10.1016/j.ipm.2019.02.016 · Cited by 256 · see citing works
Leveraging Financial Social Media Data for Corporate Fraud Detection
Dong, W. P., Liao, S., & Zhang, Z. (2018) · Journal of Management Information Systems · doi:10.1080/07421222.2018.1451954 · Cited by 239 · see citing works
De Paor, S., & Heravi, B. (2020) · The Journal of Academic Librarianship · doi:10.1016/j.acalib.2020.102218 · Cited by 191 · see citing works
Information literacy and digital nativity as determinants of online information search strategies
Çoklar, A. N., Yaman, N. D., & Yurdakul, I. K. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.12.050 · Cited by 136 · see citing works
The impact of workplace information literacy on organizational innovation: An empirical study
Ahmad, F., Widén, G., & Huvila, I. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.102041 · Cited by 124 · see citing works
Wu, D., Zhou, C., Li, Y., & Chen, M. (2021) · Computers & Education · doi:10.1016/j.compedu.2021.104360 · Cited by 103 · see citing works
Jiang, S. (2022) · Social Media + Society · doi:10.1177/20563051221113070 · Cited by 84 · see citing works
Moon, W.-K., Chung, M., & Jones-Jang, S. M. (2022) · Mass Communication & Society · doi:10.1080/15205436.2022.2097926 · Cited by 65 · see citing works
Ambivalence and Coping Responses in Post-Adoptive Information Systems Use
Qahri‐Saremi, H., & Turel, O. (2020) · Journal of Management Information Systems · doi:10.1080/07421222.2020.1790193 · Cited by 61 · see citing works
Multiple jobholding motivations and experiences: A typology and latent profile analysis.
Campion, E. D., & Csillag, B. (2021) · Journal of Applied Psychology · doi:10.1037/apl0000920 · Cited by 50 · see citing works
The fake news infodemic vs information literacy
Durodolu, O. O., & Ibenne, S. K. (2020) · Library Hi Tech News · doi:10.1108/lhtn-03-2020-0020 · Cited by 34 · see citing works
In search of the pseudo-transformational leader: A person-centered approach
Tian, A. W., Meyer, J. P., Ilic-Balas, T., Espinoza, J. A., & Pepper, S. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2023.113675 · Cited by 23 · see citing works
Wu, Y., Shen, X., & Sun, Y. (2022) · Information Technology and People · doi:10.1108/itp-01-2022-0072 · Cited by 13 · see citing works
Self-citationEducators' perceptions of information literacy and skills required to spot ‘fake news’
Delellis, N. S., & Rubin, V. L. (2018) · Proceedings of the Association for Information Science and Technology · doi:10.1002/pra2.2018.14505501116 · Cited by 8 · see citing works
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Profiling antivaccination channels in Telegram: early efforts in detecting misinformation
Skaržauskienė, A., Mačiulienė, M., Diržytė, A., & Gulevičiūtė, G. (2025) · Frontiers in Communication · doi:10.3389/fcomm.2025.1525899 · Cited by 3 · see citing works
The Spread of Deepfakes in Digital Networks
Tonello, T., Dimitrova, A., Fenga, L., Biazzo, L., & Jacona, A. (2026) · doi:10.18690/um.feri.2.2026.2 · Cited by 1 · see citing works
Deepfakes, Democracy, and the Ethics of Synthetic Media: A Synthesis of the SOLARIS Project
(2026) · University of Maribor Press · doi:10.18690/um.feri.2.2026
- Authors
- Shen, X.-L., & Wu, Y.
- Affiliations
- Wuhan University (CN)
- Corresponding author
- Shen, Xiao-Liang
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Nature Switzerland
- Published
- 2024
- Pages
- 280-297
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W4394626763
- Cited by
- 2
- References
- 17
- Citations by year
- 2026: 1 · 2025: 1
- FWCI
- 2.62
- Type
- conference paper
- Language
- en
- Open access
- closed
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Social Sciences › Library and Information Sciences › Library Science and Information Literacy
- Health Sciences › Health Professions › General Health Professions › Health Literacy and Information Accessibility
- Keywords
- information literacy, social media users, misinformation, rumor propagation, user profiles, latent profiles, person-centered approach
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