Performing Multilingual Analysis With Linguistic Inquiry and Word Count 2015 (LIWC2015). An Equivalence Study of Four Languages
Open accessAbstract
Today, there is a range of computer-aided techniques to convert text into data. However, they convey not only strengths but also vulnerabilities compared to traditional content analysis. One of the challenges that have gained increasing attention is performing automatic language analysis to make sound inferences in a multilingual assessment setting. The current study is the first to test the equivalence of multiple versions of one of the most appealing and widely used lexicon-based tools worldwide, Linguistic Inquiry and Word Count 2015 (LIWC2015). For this purpose, we employed supervised learning in a classification problem and computed Pearson's correlations and intraclass correlation coefficients on a large corpus of parallel texts in English, Dutch, Brazilian Portuguese, and Romanian. Our findings suggested that LIWC2015 is a valuable tool for multilingual analysis, but within-language standardization is needed when the aim is to analyze texts sourced from different languages.
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
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.
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?
The Linguistic Inquiry and Word Count (LIWC) tool uses more than 100 psychological dimensions to analyze word use, reflecting distinct language variations among different groups in specific genres and languages.
“The Linguistic Inquiry and Word Count (LIWC) tool exemplifies how automated text analysis can use more than 100 psychological dimensions to analyze word use, reflecting distinct language variations among different groups in specific genres and languages [Goldstein-Stewart et al., 2009;Pennebaker et al., 2015;Dudău and Sava, 2021].”
From Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges (2025) · cites this paper as Dudău and Sava, 2021
The Introduction describes LIWC2015 as an automated word-counting tool with categories that include psychological constructs, and the Discussion reports differences among the languages studied. But the Introduction says it has approximately 90 categories in total—not more than 100 psychological dimensions—and the cited passages do not establish the claim about variations among groups in specific genres. (LLM, conf=0.88)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Intraclass correlations: Uses in assessing rater reliability.
Shrout, P. E., & Fleiss, J. L. (1979) · Psychological Bulletin · doi:10.1037/0033-2909.86.2.420 · Cited by 23,433 · see citing works
(2017) · Cited by 16,319 · see citing works
The Content Analysis Guidebook
Neuendorf, K. A. (2017) · doi:10.4135/9781071802878 · Cited by 9,286 · see citing works
Forming inferences about some intraclass correlation coefficients.
McGraw, K. O., & Wong, S. P. (1996) · Psychological Methods · doi:10.1037/1082-989x.1.1.30 · Cited by 6,903 · see citing works
Centering predictor variables in cross-sectional multilevel models: A new look at an old issue.
Enders, C. K., & Tofighi, D. (2007) · Psychological Methods · doi:10.1037/1082-989x.12.2.121 · Cited by 4,462 · see citing works
SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining
Baccianella, S., Esuli, A., & Sebastiani, F. (2010) · Language Resources and Evaluation Conference (LREC) · doi:10.63317/2jktnrykui9s · Cited by 2,691 · see citing works
Understanding diagnostic tests 3: receiver operating characteristic curves
Akobeng, A. K. (2007) · Acta Paediatrica · doi:10.1111/j.1651-2227.2006.00178.x · Cited by 1,882 · see citing works
Sentiment strength detection in short informal text
Thelwall, M., Buckley, K., Paltoglou, G., Cai, D., & Kappas, A. (2010) · Journal of the American Society for Information Science and Technology · doi:10.1002/asi.21416 · Cited by 1,449 · see citing works
The General Inquirer: A Computer Approach to Content Analysis
Green, B. F., Stone, P. J., Dunphy, D. C., Smith, M. S., & Ogilvie, D. M. (1967) · American Educational Research Journal · doi:10.2307/1161774 · Cited by 1,013 · see citing works
Boyd, R. L., & Schwartz, H. A. (2021) · Journal of Language and Social Psychology · doi:10.1177/0261927x20967028 · Cited by 317 · see citing works
Gaining insights from social media language: Methodologies and challenges.
Kern, M. L., Park, G., Eichstaedt, J. C., Schwartz, H. A., Sap, M., Smith, L. K., & Ungar, L. H. (2016) · Psychological Methods · doi:10.1037/met0000091 · Cited by 221 · see citing works
Sentiment Analysis of Big Data: Methods, Applications, and Open Challenges
Shayaa, S., Jaafar, N. I., Bahri, S., Sulaiman, A. B., Phoong, S. W., Yeong, W. C., Piprani, A. Z., & Al-Garadi, M. A. (2018) · IEEE Access · doi:10.1109/access.2018.2851311 · Cited by 212 · see citing works
Tackman, A. M., Sbarra, D. A., Carey, A. L., Donnellan, M. B., Horn, A. B., Holtzman, N. S., Edwards, T. S., Pennebaker, J. W., & Mehl, M. R. (2018) · Journal of Personality and Social Psychology · doi:10.1037/pspp0000187 · Cited by 208 · see citing works
Eichstaedt, J. C., Kern, M. L., Yaden, D. B., Schwartz, H. A., Giorgi, S., Park, G., Hagan, C. A., Tobolsky, V. A., Smith, L. K., Buffone, A. E. K., et al. (2021) · Psychological Methods · doi:10.1037/met0000349 · Cited by 193 · see citing works
Hughes, H. G. A. (2005) · Reference Reviews · doi:10.1108/09504120510613247 · Cited by 181 · see citing works
Concise Encyclopedia of Languages of the World
Brown, E. K., & Ogilvie, S. (2010) · Cited by 141 · see citing works
A comparative study of machine translation for multilingual sentence-level sentiment analysis
Araújo, M., Pereira, A. C. M., & Benevenuto, F. (2019) · Information Sciences · doi:10.1016/j.ins.2019.10.031 · Cited by 136 · see citing works
An Evaluation of the Brazilian Portuguese LIWC Dictionary for Sentiment Analysis
Filho, P. P. B., Pardo, T. A. S., & Aluísio, S. M. (2013) · Cited by 122 · see citing works
“LIWC auf Deutsch”: The Development, Psychometrics, and Introduction of DE- LIWC2015Preprint
Meier, T., Boyd, R. L., Pennebaker, J. W., Mehl, M. R., Martin, M., Wolf, M., & Horn, A. B. (2019) · doi:10.31234/osf.io/uq8zt · Cited by 94 · see citing works
Linguistic Markers of Grandiose Narcissism: A LIWC Analysis of 15 Samples
Holtzman, N. S., Tackman, A. M., Carey, A. L., Brucks, M. S., Küfner, A. C. P., Deters, F. G., Back, M. D., Donnellan, M. B., Pennebaker, J. W., Sherman, R. A., et al. (2019) · Journal of Language and Social Psychology · doi:10.1177/0261927x19871084 · Cited by 78 · see citing works
Piolat, A., Booth, R. J., Chung, C. K., Davids, M., & Pennebaker, J. W. (2011) · Psychologie Française · doi:10.1016/j.psfr.2011.07.002 · Cited by 70 · see citing works
La psicología del uso de las palabras: Un programa de computadora que analiza textos en español
Ramírez‐Esparza, N., Pennebaker, J. W., García, F. A., & Martínez, R. S. (2007) · RUA, Repositorio Institucional de la Universidad de Alicante (Universidad de Alicante) · Cited by 67 · see citing works
Chung, C. K., & Pennebaker, J. W. (2018) · SAGE Publications Ltd eBooks · doi:10.4135/9781526451163.n16 · Cited by 53 · see citing works
The Dutch translation of the Linguistic Inquiry and Word Count (LIWC) 2007 dictionary
Boot, P., Zijlstra, H., & Geenen, R. (2017) · Dutch Journal of Applied Linguistics · doi:10.1075/dujal.6.1.04boo · Cited by 52 · see citing works
Moore, R. L., Oliver, K. M., & Wang, C. (2019) · Interactive Learning Environments · doi:10.1080/10494820.2019.1610453 · Cited by 52 · see citing works
Sentiment analysis system adaptation for multilingual processing: The case of tweets
Balahur, A., & Perea‐Ortega, J. M. (2014) · Information Processing & Management · doi:10.1016/j.ipm.2014.10.004 · Cited by 51 · see citing works
Wernick, N. (2013) · Journal of Methods and Measurement in the Social Sciences · doi:10.2458/v3i2.16477 · Cited by 48 · see citing works
Bond, G. D., Holman, R. D., Eggert, J. L., Speller, L. F., Garcia, O. N., Mejía-Bradford, S. C., Mcinnes, K. W., Ceniceros, E. C., & Rustige, R. (2017) · Applied Cognitive Psychology · doi:10.1002/acp.3376 · Cited by 46 · see citing works
Eichstaedt, J. C., Kern, M. L., Yaden, D. B., et al. (2020) · doi:10.31234/osf.io/t52c6 · Cited by 30 · see citing works
Psychometric evaluation of the Serbian dictionary for automatic text analysis - LIWCser
Bjekić, J., Lazarević, L. B., Živanović, M., & Knežević, G. (2014) · Psihologija · doi:10.2298/psi1401005b · Cited by 27 · see citing works
How Will We React to the Discovery of Extraterrestrial Life?
Kwon, J. Y., Bercovici, H. L., Cunningham, K., & Varnum, M. E. W. (2018) · Frontiers in Psychology · doi:10.3389/fpsyg.2017.02308 · Cited by 24 · see citing works
Lazarević, L. B., Bjekić, J., Živanović, M., & Knežević, G. (2020) · Behavior Research Methods · doi:10.3758/s13428-020-01361-z · Cited by 23 · see citing works
Carvalho, F., Rodrigues, R. G., Santos, G., et al. (2019) · Anais do Brazilian Workshop on Social Network Analysis and Mining (BraSNAM) · doi:10.5753/brasnam.2019.6545 · Cited by 22 · see citing works
Wardecker, B. M., Edelstein, R. S., Quas, J. A., Cordòn, I. M., & Goodman, G. S. (2017) · Journal of Language and Social Psychology · doi:10.1177/0261927x17706940 · Cited by 19 · see citing works
Exploratory study of automated linguistic analysis for progress monitoring and outcome assessment
Huston, J., Meier, S. T., Faith, M. S., & Reynolds, A. L. (2019) · Counselling and Psychotherapy Research · doi:10.1002/capr.12219 · Cited by 16 · see citing works
Jordan, K., Pennebaker, J. W., Petrie, K. J., & Dalbeth, N. (2018) · Arthritis Care & Research · doi:10.1002/acr.23598 · Cited by 16 · see citing works
Communicating Imperatives Requires Psychological Closeness But Creates Psychological Distance
Markowitz, D. M., & Slovic, P. (2020) · Journal of Language and Social Psychology · doi:10.1177/0261927x20902816 · Cited by 15 · see citing works
(Not) Lost in Translation: Psychological Adaptation Occurs During Speech Translation
Meier, T., Boyd, R. L., Mehl, M. R., Milek, A., Pennebaker, J. W., Martin, M., Wolf, M., & Horn, A. B. (2020) · Social Psychological and Personality Science · doi:10.1177/1948550619899258 · Cited by 15 · see citing works
Dudău, D. P., & Sava, F. A. (2020) · Current Psychology · doi:10.1007/s12144-020-00872-4 · Cited by 14 · see citing works
Self-citationWriting About the Silence: Identifying the Language of Ostracism
Klauke, F., Müller-Frommeyer, L. C., & Kauffeld, S. (2019) · Journal of Language and Social Psychology · doi:10.1177/0261927x19884599 · Cited by 13 · see citing works
Chen, C.-Y., & Huang, T.-R. (2019) · Frontiers in Psychology · doi:10.3389/fpsyg.2019.00113 · Cited by 9 · see citing works
Development of Serbian dictionary for automatic text analysis (LIWCser)
Bjekić, J., Lazarević, L. B., Erić, M., Stojimirović, E., & Đokić, T. (2012) · Psiholoska istrazivanja · doi:10.5937/psistra1201085b · Cited by 8 · see citing works
Machine-translated texts as an alternative to translated dictionaries for LIWCPreprint
Boot, P. (2021) · doi:10.31219/osf.io/tsc36 · Cited by 7 · see citing works
Психолінгвальні аспекти перекладу словника LIWC
Засєкін, С. В., Безуглова, Н., Гапон, А., Матюшенко, В., Подольська, О., & Зубчук, Д. (2018) · East European Journal of Psycholinguistics · doi:10.29038/eejpl.2018.5.1.zas · Cited by 4 · see citing works
Durrell, M. (2006) · Elsevier eBooks · doi:10.1016/b0-08-044854-2/02189-1 · Cited by 4 · see citing works
van Herk, H., & Fischer, R. D. (2017) · Springer eBooks · doi:10.1007/978-3-319-65091-3_11 · Cited by 3 · see citing works
Flagged first, then by citations
2 of the 48 references couldn’t be matched to a known paper.
Research works printed but not linked: 6
- de Castilho A. T. (2009). Portuguese, in Concise Encyclopedia of Languages of the World, eds Brown K. Ogilvie S. (Oxford, UK: Elsevier), 883– 885.
- Shapiro G. Markoff J. (1997). A matter of definition, in Text Analysis for the Social Sciences: Methods for Drawing Statistical Inferences From Texts and Transcripts, eds Roberts C. W. (Mahwah, NJ: Lawrence Erlbaum Associates), 9– 31. 10.4324/9781003064060-1 · DOI
- Simpson M. (2009). Dutch, in Concise Encyclopedia of Languages of the World, eds Brown K. Ogilvie S. (Oxford, UK: Elsevier), 307– 311.
- Swan M. (2009). English in the Present Day, in Concise Encyclopedia of Languages of the World, eds Brown K. Ogilvie S. (Oxford, UK: Elsevier), 327– 334.
- van Wissen L. Boot P. (2017). An electronic translation of the LIWC Dictionary into Dutch, in Electronic lexicography in the 21st century: Proceedings of eLex 2017 conference (Brno: Lexical Computing), 703– 715. Available online at: https://elex.link/elex2017/proceedings/eLex_2017_Proceedings.pdf
- Whitlam J. (2011). Modern Brazilian Portuguese Grammar: A Practical Guide. New York, NY: Routledge. 10.4324/9780203843925 · DOI
Cited by
Sorted by citations
Large Language Model–Based Responses to Patients’ In-Basket Messages
Small, W. R., Wiesenfeld, B. M., Brandfield-Harvey, B., Jonassen, Z., Mandal, S., Stevens, E. R., Major, V. J., Lostraglio, E., Szerencsy, A. C., Jones, S., et al. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.22399 · Cited by 108 · see citing works
Authorship Attribution in the Era of LLMs: Problems, Methodologies, and Challenges
Huang, B., Chen, C., & Shu, K. (2025) · ACM SIGKDD Explorations Newsletter · doi:10.1145/3715073.3715076 · Cited by 42 · see citing works
“…(LIWC) tool exemplifies how automated text analysis can use more than 100 psychological dimensions to analyze word use, reflecting distinct language variations among different groups in specific genres and languages (Dudău and Sava, 2021, Goldstein-Stewart et al., 2009, Pennebaker et al., 2015).”
TRIFU, R. N., Nemeş, B., Herta, D. C., Hațegan, C. B., Talaș, D. A., & Coman, H. G. (2024) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1355734 · Cited by 35 · see citing works
Social Sharing of Emotion During the COVID-19 Pandemic
Kim, D., Park, C., Kim, E., Han, J., & Song, H. (2022) · Cyberpsychology Behavior and Social Networking · doi:10.1089/cyber.2021.0270 · Cited by 30 · see citing works
Ibrahim, S., Li, M., Patel, J., & Katapally, T. (2025) · Comput. Biol. Medicine · doi:10.1016/j.compbiomed.2025.109859 · Cited by 26 · see citing works
Detection of Types of Mental Illness through the Social Network Using Ensembled Deep Learning Model
Nasrullah, S., & Jalali, A. (2022) · Computational Intelligence and Neuroscience · doi:10.1155/2022/9404242 · Cited by 23 · see citing works
RetractedTopic modelling and sentiment analysis during COVID-19 revealed emotions changes for public health
Figueiredo, S. (2024) · Scientific Reports · doi:10.1038/s41598-024-75209-3 · Cited by 17 · see citing works
Beyond English: Considering Language and Culture in Psychological Text Analysis
Kučera, D., & Mehl, M. R. (2022) · Frontiers in Psychology · doi:10.3389/fpsyg.2022.819543 · Cited by 13 · see citing works
Mukta, M. S. H., Ahmad, J., Zaman, A., & Islam, S. (2024) · IEEE Access · doi:10.1109/access.2024.3373558 · Cited by 14 · see citing works
Minor, K. S., Lundin, N. B., Myers, E. J., Fernández-Villardón, A., & Lysaker, P. H. (2023) · Psychiatry Research · doi:10.1016/j.psychres.2023.115048 · Cited by 11 · see citing works
Lingualyzer: A computational linguistic tool for multilingual and multidimensional text analysis
Linders, G. M., & Louwerse, M. (2023) · Behavior Research Methods · doi:10.3758/s13428-023-02284-1 · Cited by 8 · see citing works
Liu, Q., & Son, H. (2025) · SAGE Open · doi:10.1177/21582440251328535 · Cited by 6 · see citing works
Language in the Teaching Operating Room: Expressing Confidence Versus Community
Ramprasad, A., Casubhoy, I., Bachar, A., Meister, M., Bethman, B., & Sutkin, G. (2024) · Journal of surgical education · doi:10.1016/j.jsurg.2023.12.009 · Cited by 6 · see citing works
Carlini, F., Farina, V., Gufler, I., & Previtali, D. (2024) · International Review of Financial Analysis · doi:10.1016/j.irfa.2024.103178 · Cited by 6 · see citing works
Robertson, J., Vella, J. M., Duncan, S. Y., Pitt, C., PITT, L. F., & Caruana, A. (2023) · Journal of Strategic Marketing · doi:10.1080/0965254x.2023.2256738 · Cited by 5 · see citing works
Bond, G. D., Speller, L. F., Jiménez, J. C., Smith, D., Marin, P. G., Greenham, M. B., Holman, R. D., & Varela, E. (2022) · Applied Cognitive Psychology · doi:10.1002/acp.3987 · Cited by 5 · see citing works
Detecting depression in speech using verbal behavior analysis: a cross-cultural study
Amorese, T., Cuciniello, M., Greco, C., Sheveleva, O., Cordasco, G., Glackin, C., McConvey, G., Callejas, Z., & Esposito, A. A. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2025.1514918 · Cited by 4 · see citing works
Dudău, D. P., Chitez, M., & Sava, F. A. (2025) · Frontiers in Psychology · doi:10.3389/fpsyg.2024.1514795 · Cited by 3 · see citing works
Self-citationPersonality and Word Use: Study on Czech Language and the Big Five
Kučera, D., Haviger, J., & Havigerová, J. (2022) · Journal of Psycholinguistic Research · doi:10.1007/s10936-022-09892-6 · Cited by 3 · see citing works
Casubhoy, I., Ramprasad, A., Meister, M., Bethman, B., & Sutkin, G. (2024) · The American Journal of Surgery · doi:10.1016/j.amjsurg.2024.116040 · Cited by 2 · see citing works
Moore, M., Yunus, F. M., Thompson, K., Keough, M. T., Krank, M. D., Conrod, P., & Stewart, S. H. (2025) · Emerging Adulthood · doi:10.1177/21676968241313068 · Cited by 1 · see citing works
Automatic Detection of Verbal Deception in Romanian With Artificial Intelligence Methods
Crudu, M. (2024) · Studia Universitatis Babeș-Bolyai Informatica · doi:10.24193/subbi.2024.1.05 · Cited by 1 · see citing works
Talking Cancer—Cancer Talking: A Linguistic and Thematic Analysis of Patient Narratives
Kaptein, A., van der Meer, P. B., Fisher, F., van Laarhoven, H. V., Pennebaker, J. W., & Vingerhoets, A. (2024) · Journal of Patient Experience · doi:10.1177/23743735241309472 · Cited by 1 · see citing works
Linguistic Markers of Intercultural Competence in Student BlogsPreprint
Hanegreefs, H., Pluymaekers, M., & Hoefnagels, A. (2023) · Preprints.org · doi:10.20944/preprints202204.0303.v2 · Cited by 1 · see citing works
Logogye, C., Asafo-Duho, B., & Afful, J. B. A. (2021) · International Journal of English Language Teaching · doi:10.5430/ijelt.v9n1p1
Word Category Arcs in Literature Across Languages and Genres
Wu, W. M. C., Wang, L., & Mihalcea, R. F. (2023) · Workshop on Narrative Understanding (WNU) · doi:10.18653/v1/2023.wnu-1.6
Zhu, Y., Bresnahan, M., Wang, Y., Yan, X., & Hussain, S. A. (2024) · Language and Intercultural Communication · doi:10.1080/14708477.2024.2307591
EmotionGraphRAG: Enhancing LLM-Based Emotion Analysis through Graph Retrieval-Augmented Generation
Ye, F. (2025) · International Conference on Next Generation Data-driven Networks (NGDN) · doi:10.1109/ngdn66208.2025.11182137
Rizzoli, V., Sarrica, M., Bobbio, A., Carraro, L., & Alparone, F. R. (2025) · Journal of Language and Social Psychology · doi:10.1177/0261927x251386477
Enhancing Cross-Lingual Personality Identification: A Soft Prompt-Based Semantic Alignment Method
Wu, Y., Li, Q., Song, Y., Xu, D. J., Xiang, M., & Zeng, D. D. (2025) · IEEE International Conference on Intelligence and Security Informatics (ISI) · doi:10.1109/isi65680.2025.11201079
Peña-Galindo, A., Murillo, A. C. G., & Rivera-Rosas, A. (2026) · Revista Virtual Universidad Católica del Norte · doi:10.35575/rvucn.n77a7
Sidhu, S., van Laer, T., & Garbarino, E. (2026) · Journal of Interactive Marketing · doi:10.1177/10949968261446244 · Cited by 1 · see citing works
Shi, M., & Tang, B. (2026) · Creative Education · doi:10.4236/ce.2026.176064
Feng, H., Yang, B., & Yi, S. (2026) · SAGE Open · doi:10.1177/21582440261466016
Linguistic Inquiry and Word Count (LIWC)
Lazarević, L. B. (2026) · Springer eBooks · doi:10.1007/978-3-031-52643-5_27-1
Albayrak, Z. S., Genç, H. A., Ekici, E. E., Görgülü, T. T., Seçinti, D. D., KAHRAMAN, G., ÇAMLI, Ş. E., & Eser, H. Y. (2026) · Frontiers in Psychology · doi:10.3389/fpsyg.2026.1958650
- Authors
- Dudău, D. P., & Sava, F. A.
- Affiliations
- West University of Timişoara (RO)
- Corresponding author
- Sava, Florin Alin
- Venue
- Frontiers in Psychology
- Publisher
- Frontiers Media SA
- Published
- 2021-07-12
- Volume
- 12
- Pages
- 570568-570568
- ISSN
- 1664-1078 (ISSN-L)
- PMC
- PMC8311520
- OpenAlex
- W3180941500
- Cited by
- 36
- References
- 48
- Citations by year
- 2026: 6 · 2025: 8 · 2024: 10 · 2023: 6 · 2022: 5 · 2021: 1
- FWCI
- 13.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Frontiers in Psychology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- Ministerul Educaței și Cercetării Științifice
- Topics
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Social Sciences › Psychology › Social Psychology › Mental Health via Writing
- Keywords
- multilingual text analysis, parallel corpus, English language, Dutch language, Brazilian Portuguese, Romanian language, text classification, language standardization
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