Quantifying the trustworthiness of social media content
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Health care organizations experience barriers regarding privacy, confidentiality, reputation management, and the dissemination of inaccurate health information.
“Health care organizations also experience barriers regarding privacy, confidentiality, reputation management, and the dissemination of inaccurate health information [55-57].”
From Improving the Theoretical Understanding Toward Patient-Driven Health Care Innovation Through Online Value Cocreation: Systematic Review (2020) · cites this paper as [57]
Cites
Chiu, S., & Tavella, D. (2008) · Routledge eBooks · doi:10.4324/9780080878096-12 · Cited by 6,987 · see citing works
Cumulated gain-based evaluation of IR techniques
Järvelin, K., & Kekäläinen, J. (2002) · ACM Transactions on Information Systems · doi:10.1145/582415.582418 · Cited by 4,841 · see citing works
An Introduction to Data Mining
Stephens, C. R., & Sukumar, R. (2006) · Sage eBooks · doi:10.4135/9781412973380.n22 · Cited by 4,614 · see citing works
Lehman, E. W., & Sztompka, P. (2001) · Contemporary Sociology A Journal of Reviews · doi:10.2307/3089802 · Cited by 2,220 · see citing works
Perception of Hazards: The Role of Social Trust and Knowledge
Siegrist, M., & Cvetkovich, G. T. (2000) · Risk Analysis · doi:10.1111/0272-4332.205064 · Cited by 1,400 · see citing works
Introduction to Data Mining, (First Edition)
Tan, P., Steinbach, M. S., & Kumar, V. (2005) · Addison-Wesley Longman Publishing Co., Inc. eBooks · Cited by 1,305 · see citing works
Finding high-quality content in social media
Agichtein, E., Castillo, C., Donato, D., Gionis, A., & Mishne, G. (2008) · ACM International Conference on Web Search and Data Mining (WSDM) · doi:10.1145/1341531.1341557 · Cited by 1,255 · see citing works
Discretization: An Enabling Technique
Liu, H., Hussain, F., Tan, C. L., & Dash, M. (2002) · Data Mining and Knowledge Discovery · doi:10.1023/a:1016304305535 · Cited by 991 · see citing works
Self-citationBlumenstock, J. E. (2008) · International World Wide Web Conference (WWW) · doi:10.1145/1367497.1367673 · Cited by 277 · see citing works
Measuring article quality in wikipedia
Hu, M., Lim, E., Sun, A., Lauw, H. W., & Vuong, B.-Q. (2007) · ACM International Conference on Information and Knowledge Management (CIKM) · doi:10.1145/1321440.1321476 · Cited by 242 · see citing works
Health on the Internet: implications for health promotion
Korp, P. (2005) · Health Education Research · doi:10.1093/her/cyh043 · Cited by 222 · see citing works
Assigning trust to Wikipedia content
Adler, B. T., Chatterjee, K., de Alfaro, L., Faella, M., Pye, I., & Raman, V. (2008) · International Symposium on Wikis and Open Collaboration (WikiSym) · doi:10.1145/1822258.1822293 · Cited by 203 · see citing works
Computing trust from revision history
Zeng, H., Alhossaini, M. A., Ding, L., Fikes, R. E., & McGuinness, D. L. (2006) · Conference on Privacy, Security and Trust · doi:10.1145/1501434.1501445 · Cited by 120 · see citing works
Investigations into Trust for Collaborative Information Repositories: A Wikipedia Case Study
McGuinness, D. L., Zeng, H., da Silva, P. P., Ding, L., Narayanan, D., & Bhaowal, M. (2006) · Cited by 81 · see citing works
Human Factors and Web Development
Ratner, J. (1997) · Cited by 76 · see citing works
Computing information retrieval performance measures efficiently in the presence of tied scores
McSherry, F., & Najork, M. (2008) · doi:10.5555/1793274.1793325 · Cited by 63 · see citing works
Computing Information Retrieval Performance Measures Efficiently in the Presence of Tied Scores
McSherry, F., & Najork, M. (2008) · Springer eBooks · doi:10.1007/978-3-540-78646-7_38 · Cited by 44 · see citing works
Human Factors and Web Development
Anderson, M. J., & Whitcomb, P. J. (2002) · CRC Press eBooks · doi:10.1201/b12467 · Cited by 40 · see citing works
Computational Trust in Web Content Quality: A Comparative Evalutation on the Wikipedia Project
Dondio, P. (2007) · Informatica · doi:10.21427/d70w52 · Cited by 36 · see citing works
Judging the quality of internet‐based health information
Childs, S. (2005) · Performance Measurement and Metrics · doi:10.1108/14678040510607803 · Cited by 34 · see citing works
Gurak, L. J., Baily, B. P., & Konstan, J. A. (2002) · Cited by 16 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Moorhead, S. A., Hazlett, D. E., Harrison, L., Carroll, J. K., Irwin, A., & Hoving, C. (2013) · Journal of Medical Internet Research · doi:10.2196/jmir.1933 · Cited by 2,517 · see citing works
Rezaei Aghdam, A., Watson, J., Cliff, C., & Miah, S. J. (2020) · Journal of Medical Internet Research · doi:10.2196/16324 · Cited by 57 · see citing works
- Authors
- Moturu, S. T., & Liu, H.
- Affiliations
- MIT Media Lab (US)
- Arizona State University (US)
- Corresponding author
- Moturu, Sai T.
- ORCID
- Liu, Huan
- Venue
- Distributed and Parallel Databases
- Published
- 2011-01-04
- Volume
- 29
- Issue
- 3
- Pages
- 239-260
- ISSN
- 0926-8782 (ISSN-L)
- 1573-7578
- OpenAlex
- W2094908256
- Cited by
- 56
- References
- 21
- Citations by year
- 2026: 1 · 2025: 2 · 2024: 3 · 2022: 4 · 2021: 7 · 2020: 6 · 2019: 2 · 2018: 1 · 2017: 1 · 2016: 3 · 2015: 6 · 2014: 3 · 2013: 7 · 2012: 7
- FWCI
- 21.41
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Distributed and Parallel Databases (publishedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Misinformation and Its Impacts
- Physical Sciences › Computer Science › Information Systems › Expert finding and Q&A systems
- Physical Sciences › Computer Science › Information Systems › Spam and Phishing Detection
- Keywords
- social media content, user-generated content, health content, trust in information, sociology of trust, feature identification, Wikipedia, search result relevance
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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