The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
“I am not guilty” vs “I am innocent”: Successful negation may depend on the schema used for its encoding
Overview
The claims and statistics of this paper haven’t been checked yet.
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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
Cites
Reconstruction of automobile destruction: An example of the interaction between language and memory
Loftus, E. F., & Palmer, J. C. (1974) · Journal of Verbal Learning and Verbal Behavior · doi:10.1016/s0022-5371(74)80011-3 · Cited by 1,909
Ross, L., Lepper, M. R., & Hubbard, M. (1975) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.32.5.880 · Cited by 1,052
Begg, I. M., Anas, A., & Farinacci, S. (1992) · Journal of Experimental Psychology: General · doi:10.1037//0096-3445.121.4.446 · Cited by 650
Kawakami, K., Dovidio, J. F., Moll, J., Hermsen, S., & Russin, A. (2000) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.78.5.871 · Cited by 553
Cited by
When Corrections Fail: The Persistence of Political Misperceptions
Nyhan, B., & Reifler, J. (2010) · Political Behavior · doi:10.1007/s11109-010-9112-2 · Cited by 3,173
Misinformation and Its Correction: Continued Influence and Successful Debiasing
Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N., & Cook, J. (2012) · Psychological Science in the Public Interest · doi:10.1177/1529100612451018 · Cited by 2,920
Walter, N., & Tukachinsky, R. (2020) · Communication Research · doi:10.1177/0093650219854600 · Cited by 522
Democracy, Public Policy, and Lay Assessments of Scientific Testimony
Anderson, E. (2011) · Episteme · doi:10.3366/epi.2011.0013 · Cited by 445
The Associative–Propositional Evaluation Model
Gawronski, B., & Bodenhausen, G. V. (2011) · Advances in Experimental Social Psychology · doi:10.1016/b978-0-12-385522-0.00002-0 · Cited by 426
Metadata
- Authors
- Mayo, R., Schul, Y., & Burnstein, E.
- Venue
- Journal of Experimental Social Psychology
- Publisher
- Elsevier BV
- Published
- 2004-07
- Volume
- 40
- Issue
- 4
- Pages
- 433-449
- ISSN
- 0022-1031 (ISSN-L)
- OpenAlex
- W2018068392
- Cited by
- 363
- References
- 4
- FWCI
- 47.27
- 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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: “I am not guilty” vs “I am innocent”: Successful negation may depend on the schema used for its encoding. https://app.cochat.ai/papers/10.1016/j.jesp.2003.07.008
- The paper
- Mayo, R., Schul, Y., & Burnstein, E. (2004). “I am not guilty” vs “I am innocent”: Successful negation may depend on the schema used for its encoding. Journal of Experimental Social Psychology. https://doi.org/10.1016/j.jesp.2003.07.008
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.
