Trust in Social Media
Integrity signals
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The understanding of trust largely depends on the domain of study.
“the understanding of trust also largely depends on the domain of study [38,103]”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [103]
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Cygan, M., Pilipczuk, M., Pilipczuk, M., et al. (2012) · Lecture notes in computer science · doi:10.1007/978-3-642-32589-2_28 · Cited by 25 · see citing works
Trust and Distrust Prediction in Social Network with Combined Graphical and Review-Based Attributes
Borzymek, P., & Sydow, M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-13480-7_14 · Cited by 20 · see citing works
Predictability of Distrust with Interaction Data
Tang, J., Hu, X., Chang, Y., & Liu, H. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2661988 · Cited by 18 · see citing works
Self-citationCharacterization and Edge Sign Prediction in Signed Networks
Zhang, T., Jiang, H., Bao, Z., et al. (2013) · Journal of Industrial and Intelligent Information · doi:10.12720/jiii.1.1.19-24 · Cited by 18 · see citing works
A Survey of Trust Use and Modeling in Real Online Systems
Massa, P. (2011) · IGI Global eBooks · doi:10.4018/978-1-59904-207-7.ch003 · Cited by 18 · see citing works
Tang, J., & Liu, H. (2014) · International World Wide Web Conference (WWW) · doi:10.1145/2567948.2577265 · Cited by 17 · see citing works
Self-citation(2006) · doi:10.1145/1151454.1151498 · Cited by 16 · see citing works
An Effective Parallel Web Crawler based on Mobile Agent and Incremental Crawling
Kausar, M. A., Dhaka, V. S., & Singh, S. K. (2013) · Journal of Industrial and Intelligent Information · doi:10.12720/jiii.1.1.86-90 · Cited by 10 · see citing works
The formation of initial trust in the strategic supply chain partnership
Lee, S. M., & Parast, M. M. (2009) · International Journal of Management and Enterprise Development · doi:10.1504/ijmed.2009.025264 · Cited by 6 · see citing works
Learning Interactions for Social Prediction in Large-scale Networks
Yu, X., & Xie, J. (2014) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/2661829.2662056 · Cited by 5 · see citing works
Trust Prediction with Temporal Dynamics
Cai, G., Tang, J., & Wen, Y. (2014) · Lecture notes in computer science · doi:10.1007/978-3-319-08010-9_72 · Cited by 2 · see citing works
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Bodó, B. (2021) · New Media & Society · doi:10.1177/1461444820939922 · Cited by 137 · see citing works
Gainous, J., Abbott, J. P., & Wagner, K. M. (2019) · Political Behavior · doi:10.1007/s11109-018-9456-6 · Cited by 39 · see citing works
What Do We Mean When We Talk about Trust in Social Media? A Systematic Review
Zhang, Y., Gaggiano, J. D., Yongsatianchot, N., Suhaimi, N. M., Kim, M., Sun, Y., Griffin, J., & Parker, A. G. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581019 · Cited by 29 · see citing works
- Authors
- Tang, J., & Liu, H.
- Affiliations
- Arizona State University (US)
- Venue
- Synthesis Lectures on Information Security, Privacy, and Trust
- Publisher
- Springer International Publishing
- Published
- 2015
- Volume
- 10
- Issue
- 1
- Pages
- 1-129
- ISSN
- 1945-9742 (ISSN-L)
- 1945-9750
- OpenAlex
- W2542474450
- Cited by
- 53
- References
- 133
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 5 · 2023: 8 · 2022: 5 · 2021: 4 · 2020: 6 · 2019: 13 · 2018: 5 · 2017: 1 · 2016: 3
- FWCI
- 2.85
- Type
- book
- Language
- en
- Open access
- closed
- Locations
- Synthesis lectures on information security, privacy, and trust (publishedVersion)
- CERN Document Server (European Organization for Nuclear Research) (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Social Sciences › Sociology and Political Science › Access Control and Trust
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- trust, social media, online information sharing, online participation, information security, privacy
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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