The DOI matches its Crossref record.
Computational journalism
Abstract
How computer scientists can empower journalists, democracy's watchdogs, in the production of news in the public interest.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Survey of Fake News: Fundamental Theories, Detection Methods, and Opportunities
Zhou, X., & Zafarani, R. (2021) · ACM Computing Surveys · doi:10.1145/3395046 · Cited by 1,184
Algorithmic Accountability: Journalistic investigation of computational power structures
Diakopoulos, N. (2015) · Digital Journalism · doi:10.1080/21670811.2014.976411 · Cited by 733
Computational Fact Checking from Knowledge Networks
Ciampaglia, G. L., Shiralkar, P., Rocha, L. M., Bollen, J., Menczer, F., & Flammini, A. (2015) · PLOS ONE · doi:10.1371/journal.pone.0128193 · Cited by 486
Readers’ perception of computer-generated news: Credibility, expertise, and readability
Graefe, A., Haim, M., Haarmann, B., & Brosius, H.-B. (2018) · Journalism · doi:10.1177/1464884916641269 · Cited by 315
Lokot, T. (2016) · doi:10.1080/21670811.2015.1081822 · Cited by 209
Waters, F., Chiu, V., Atkinson, A., & Blom, J. D. (2018) · Frontiers in Psychiatry · doi:10.3389/fpsyt.2018.00303 · Cited by 165
AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models
Petridis, S., Diakopoulos, N., Crowston, K., Hansen, M., Henderson, K., Jastrzebski, S., Nickerson, J. V., & Chilton, L. B. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580907 · Cited by 98
True or False: Studying the Work Practices of Professional Fact-Checkers
Micallef, N., Armacost, V., Memon, N., & Patil, S. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3512974 · Cited by 70
Metadata
- Authors
- Cohen, S., Hamilton, J. T., & Turner, F.
- Venue
- Communications of the ACM
- Published
- 2011-10
- Volume
- 54
- Issue
- 10
- Pages
- 66-71
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2339296435
- Cited by
- 207
- References
- 0
- FWCI
- 38.21
- Type
- journal article
- Language
- en
- Open access
- closed
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 ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
