The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Reliability in content analysis: some common misconceptions and recommendations.
Open accessAbstract
In a recent article published in this journal, Lombard, Snyder-Duch, and Bracken (2002) surveyed 200 content analyses for their reporting of reliability tests; compared the virtues and drawbacks of five popular reliability measures; and proposed guidelines and standards for their use. Their discussion revealed that numerous misconceptions circulate in the content analysis literature regarding how these measures behave and can aid or deceive content analysts in their effort to ensure the reliability of their data. This paper proposes three conditions for statistical measures to serve as indices of the reliability of data and examines the mathematical structure and the behavior of the five coefficients discussed by the authors, plus two others. It compares common beliefs about these coefficients with what they actually do and concludes with alternative recommendations for testing reliability in content analysis and similar data-making efforts.
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.
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 cited source says what the claim attributes to it.
In the citing paper
“For the 6 moderator variables, Krippendorff’s alpha ranged from 0.81 to 0.99, and therefore above the acceptable level (Krippendorff, 2004).”
From The Power of Feedback Revisited: A Meta-Analysis of Educational Feedback Research (2020) · cites this paper as Krippendorff, 2004
The cited source says what the claim attributes to it.
In the citing paper
“Krippendorff's (2004) criterion of significance is therefore satisfied here too.”
From Weighted Krippendorff's alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation (2014) · cites this paper as Krippendorff's (2004)
The cited source says what the claim attributes to it.
In the citing paper
“Krippendorff's α α α α (Krippendorff, 2004) considers chance independently from coders like Scott's π, but data reliability is estimated depending on disagreement instead of agreement:”
From Weighted Krippendorff's alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation (2014) · cites this paper as Krippendorff, 2004
The check wasn’t confident either way, so it gives no verdict — never disputed.
In the citing paper
“The criterion of data significance -at least five chance agreements per category -proposed by (Krippendorff, 2004) is greatly satisfied for the valence annotation (3 categories).”
From Weighted Krippendorff's alpha is a more reliable metrics for multi-coders ordinal annotations: experimental studies on emotion, opinion and coreference annotation (2014) · cites this paper as Krippendorff, 2004
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.
Citations
Cites
The publisher hasn’t deposited this paper’s reference list.
Research works printed but not linked: 13
- Bennett, E. M., Alpert, R., & Goldstein, A. C. (1954). Communications through limited response questioning. Public Opinion Quarterly, 18, 303-308.
- Craig, R. T. (1981). Generalization of Scott"s index of intercoder agreement. Public Opinion Quarterly, 45, 260-264.
- Goodman, L. A, & Kruskal, W. H. (1954). Measures of association for cross classifications. Journal of the American Statistical Association, 49, 732-764.
- Holsti, O. R. (1969). Content analysis for the social sciences and humanities. Reading, MA: Addison- Wesley.
- Hughes, M. A., & Garrett, D. E. (1990). Intercoder reliability estimation -Approaches in marketing: A generalizability theory framework for quantitative data. Journal of Marketing Research, 27, 185- 195.
- Krippendorff, K. (1970). Bivariate agreement coefficients for reliability data. In E. R. Borgatta & G. W. Bohrnstedt (Eds.), Sociological methodology 1970 (pp. 139-150). San Francisco, CA: Jossey Bass.
- Krippendorff, K. (2004). Content analysis: An introduction to its methodology. Second Edition. Thousand Oaks, CA: Sage.
- Maxwell, A. E. (1970). Comparing the classification of subjects by two independent judges. British Journal of Psychiatry, 116, 651-655.
- Osgood, C. E. (1959). The representational model and relevant research. In I. de Sola Pool (Ed.), Trends in content analysis (pp. 33-88). Urbana: University of Illinois Press.
- Potter, W. J., & Levine-Donnerstein, D. (1999). Rethinking validity and reliability in content analysis. Journal of Applied Communication Research, 27, 258-284.
- Riffe, D., & Freitag, A. (1996, August). Twenty-five years of content analyses in Journalism & Mass Communication Quarterly. Paper presented to the annual convention of the Association for Education in Journalism and Mass Communication, Anaheim, CA, cited in D. Riffe, S. Lacy, & F. G. Fico (1998). Analyzing media messages. Mahwah, NJ: Erlbaum.
- Scott, W. A. (1955). Reliability of content analysis: The case of nominal scale coding. Public Opinion Quarterly, 19, 321-325.
- Zwick, R. (1988). Another look at interrater agreement. Psychological Bulletin, 103, 347-387.
Cited by
Sorted by citations
Items 201–300 of 1,010
Multimodal learning analytics of collaborative patterns during pair programming in higher education
Xu, W., Wu, Y., & Ouyang, F. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-022-00377-z · Cited by 98
SANTIAGO, B. D. S., Scavarda, L. F., Caiado, R. G. G., Santos, R. S., & Nascimento, D. L. D. M. (2024) · Corporate Social Responsibility and Environmental Management · doi:10.1002/csr.2949 · Cited by 99
Animal Welfare Concerns and Values of Stakeholders Within the Dairy Industry
Ventura, B. A., von Keyserlingk, M. A. G., & Weary, D. M. (2014) · Journal of Agricultural and Environmental Ethics · doi:10.1007/s10806-014-9523-x · Cited by 97
Vaio, A. D., Hasan, S., Palladino, R., Profita, F., & Mejri, I. (2021) · Journal of Business Research · doi:10.1016/j.jbusres.2021.05.040 · Cited by 96
Plan integration for resilience scorecard: evaluating networks of plans in six US coastal cities
Berke, P. R., Malecha, M. L., Yu, S., Lee, J., & Masterson, J. H. (2018) · Journal of Environmental Planning and Management · doi:10.1080/09640568.2018.1453354 · Cited by 95
Loh, C. G., & Kim, R. (2020) · Journal of the American Planning Association · doi:10.1080/01944363.2020.1829498 · Cited by 95
Allison, T. H., Warnick, B. J., Davis, B. C., & Cardon, M. S. (2022) · Journal of Business Venturing · doi:10.1016/j.jbusvent.2022.106193 · Cited by 96
Unveiling the multimedia unconscious
Cristani, M., Vinciarelli, A., Segalin, C., & Perina, A. (2013) · ACM International Conference on Multimedia (ACM MM) · doi:10.1145/2502081.2502280 · Cited by 94
Hervani, A. A., Nandi, S., Helms, M. M., & Sarkis, J. (2021) · Sustainable Production and Consumption · doi:10.1016/j.spc.2021.11.026 · Cited by 94
Detecting misogyny in Spanish tweets. An approach based on linguistics features and word embeddings
García-Díaz, J. A., Cánovas-García, M., Colomo‐Palacios, R., & Valencia‐García, R. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.08.032 · Cited by 96
Jap, S. D., Robertson, D. C., Rindfleisch, A., & Hamilton, R. (2012) · Journal of Marketing Research · doi:10.1509/jmr.10.0121 · Cited by 95
Kim, N. J., Vicentini, C. R., & Belland, B. R. (2021) · International Journal of Science and Mathematics Education · doi:10.1007/s10763-020-10145-y · Cited by 92
Social Identity Threat Motivates Science-Discrediting Online Comments
Nauroth, P., Gollwitzer, M., Bender, J., & Rothmund, T. (2015) · PLoS ONE · doi:10.1371/journal.pone.0117476 · Cited by 91
Sinha, N., Singh, P., Gupta, M., & Singh, P. (2020) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102210 · Cited by 91
Canhoto, A. I., Keegan, B. J., & Ryzhikh, M. (2023) · Information Systems Frontiers · doi:10.1007/s10796-023-10369-7 · Cited by 104
Jordi, K., Grossmann, F. F., Gaddis, G., Cignacco, E., Denhaerynck, K., Schwendimann, R., & Nickel, C. H. (2015) · Scandinavian Journal of Trauma Resuscitation and Emergency Medicine · doi:10.1186/s13049-015-0142-y · Cited by 89
Risk Allocation in U.S. Public-Private Partnership Highway Project Contracts
Nguyen, A., Garvin, M. J., & González, E. E. (2018) · Journal of Construction Engineering and Management · doi:10.1061/(asce)co.1943-7862.0001465 · Cited by 89
Regulated Dependence: Platform Workers’ Responses to New Forms of Organizing
Karanović, J., Berends, H., & Engel, Y. (2020) · Journal of Management Studies · doi:10.1111/joms.12577 · Cited by 93
Ouyang, F., Chen, Z., Cheng, M., Tang, Z., & Su, C. (2021) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-021-00273-y · Cited by 90
Towards a framework for developing semantic relatedness reference standards
Pakhomov, S., Ted Pedersen, A., McInnes, B. T., Melton, G. B., Ruggieri, A. P., & Chute, C. G. (2010) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2010.10.004 · Cited by 89
Kemp, K. B., Blades, J. J., Klos, P. Z., Hall, T. E., Force, J. E., Morgan, P., & Tinkham, W. T. (2015) · Ecology and Society · doi:10.5751/es-07522-200217 · Cited by 89
Dragojević, M., Mastro, D. E., Giles, H., & Sink, A. (2016) · Language in Society · doi:10.1017/s0047404515000743 · Cited by 88
Three Decades of Reliability in Communication Content Analyses
Lovejoy, J., Watson, B. R., Lacy, S. R., & Riffe, D. (2016) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699016644558 · Cited by 97
Brett, E. I., Stevens, E. M., Wagener, T. L., Leavens, E. L. S., Morgan, T. L., Cotton, W. D., & Hébert, E. T. (2018) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2018.10.014 · Cited by 88
Ancín, M., Pindado, E., & Sánchez, M. (2022) · Agricultural Systems · doi:10.1016/j.agsy.2022.103520 · Cited by 88
Reframing data ethics in research methods education: a pathway to critical data literacy
Atenas, J., Havemann, L., & Timmermann, C. (2023) · International Journal of Educational Technology in Higher Education · doi:10.1186/s41239-023-00380-y · Cited by 88
Velasco, J. B., Knedeisen, A., Xue, D., Vickrey, T. L., Abebe, M. D., & Stains, M. (2016) · Journal of Chemical Education · doi:10.1021/acs.jchemed.6b00062 · Cited by 88
Boeck, G. D., Dries, N., & Tierens, H. (2018) · Journal of Management Studies · doi:10.1111/joms.12417 · Cited by 95
Muddiman, A., McGregor, S. C., & Stroud, N. (2018) · Political Communication · doi:10.1080/10584609.2018.1517843 · Cited by 71
Cole, R., & Aitken, J. M. (2019) · Production Planning & Control · doi:10.1080/09537287.2019.1595208 · Cited by 87
Using data mining techniques to explore security issues in smart living environments in Twitter
Saura, J. R., Palacios‐Marqués, D., & Soriano, D. R. (2021) · Computer Communications · doi:10.1016/j.comcom.2021.08.021 · Cited by 88
Evaluating Discourse and Dialogue Coding Schemes
Craggs, R., & Wood, M. M. (2005) · Computational Linguistics · doi:10.1162/089120105774321109 · Cited by 85
Examining the extent of and drivers for materiality assessment disclosures in sustainability reports
Farooq, M. B., Zaman, R., Sarraj, D., & Khalid, F. (2021) · Sustainability Accounting Management and Policy Journal · doi:10.1108/sampj-04-2020-0113 · Cited by 84
The Effects of Message Framing and Visual Image on Persuasion
Seo, K., Dillard, J. P., & Shen, F. (2013) · Communication Quarterly · doi:10.1080/01463373.2013.822403 · Cited by 90
Jamil, A. H. A., & Fathi, M. S. (2016) · Procedia Computer Science · doi:10.1016/j.procs.2016.09.205 · Cited by 92
Handayani, W., Fisher, M. R., Rudiarto, I., Setyono, J. S., & Foley, D. (2019) · International Journal of Disaster Risk Reduction · doi:10.1016/j.ijdrr.2019.101073 · Cited by 84
Gun Stories: How Evidence Shapes Firearm Policy in the United States
Smith‐Walter, A., Peterson, H. L., Jones, M. D., & Marshall, A. N. R. (2016) · Politics & Policy · doi:10.1111/polp.12187 · Cited by 87
Acil Uzaktan Eğitim Sürecinin Analizi: Öne Çıkan Kavramlar, Sorunlar ve Çıkarılan Dersler
Sezgin, S. (2021) · Anadolu Üniversitesi Sosyal Bilimler Dergisi · doi:10.18037/ausbd.902616 · Cited by 92
An analysis of teachers questioning strategies
Döş, B., Erdal, B., Ceyda, A., Betul, T., Nurgul, C., & DUMAN, C. (2016) · Educational Research and Reviews · doi:10.5897/err2016.3014 · Cited by 82
Retweeting Risk Communication: The Role of Threat and Efficacy
Vos, S. C., Sutton, J. N., Yu, Y., Renshaw, S. L., Olson, M. K., Gibson, C. B., & Butts, C. T. (2018) · Risk Analysis · doi:10.1111/risa.13140 · Cited by 82
Commentary: A Dissenting View on So-Called Paradoxes of Reliability Coefficients
Krippendorff, K. (2013) · Annals of the International Communication Association · doi:10.1080/23808985.2013.11679143 · Cited by 82
Self-citationBelland, B. R., Walker, A. E., & Kim, N. J. (2017) · Review of Educational Research · doi:10.3102/0034654317723009 · Cited by 90
Analyzing the startup ecosystem of India: a Twitter analytics perspective
Singh, S., Chauhan, A., & Dhir, S. (2019) · Journal of Advances in Management Research · doi:10.1108/jamr-08-2019-0164 · Cited by 81
A Study of Quantitative Content Analysis of Health Messages in U.S. Media From 1985 to 2005
Manganello, J. A., & Blake, N. (2010) · Health Communication · doi:10.1080/10410236.2010.483333 · Cited by 81
Stability of market segmentation with cluster analysis – A methodological approach
Müller, H., & Hamm, U. (2014) · Food Quality and Preference · doi:10.1016/j.foodqual.2013.12.004 · Cited by 81
McCabe, J. M., Tanner, A. E., & Heiman, J. R. (2009) · Sex Roles · doi:10.1007/s11199-009-9723-4 · Cited by 81
The role of idioms in sentiment analysis
Williams, L., Bannister, C. A., Arribas‐Ayllon, M., Preece, A. D., & Spasić, . (2015) · Expert Systems with Applications · doi:10.1016/j.eswa.2015.05.039 · Cited by 81
Mohr, J. J., & Sarno, E. L. (2015) · Journal of Counseling Psychology · doi:10.1037/cou0000125 · Cited by 90
Fostering collective and individual learning through knowledge building
Zhao, K., & Chan, C. K. K. (2014) · International Journal of Computer-Supported Collaborative Learning · doi:10.1007/s11412-013-9188-x · Cited by 80
PERSONAL CONSTRUCT PSYCHOLOGY AND CONTENT ANALYSIS
Green, B. (2004) · Cited by 80
Butkowski, C. P., Dixon, T. L., Weeks, K. R., & Smith, M. A. L. (2019) · New Media & Society · doi:10.1177/1461444819871669 · Cited by 80
Human capital disclosure practices of top Bangladeshi companies
Khan, H. Z., & Khan, R. (2010) · Journal of Human Resource Costing & Accounting · doi:10.1108/14013381011105984 · Cited by 80
Beyond Idea Generation: The Power of Groups in Developing Ideas
McMahon, K., Ruggeri, A., Kämmer, J. E., & Katsikopoulos, K. V. (2016) · Creativity Research Journal · doi:10.1080/10400419.2016.1195637 · Cited by 82
Zakaria, N., & Yusof, S. A. M. (2018) · Journal of International Management · doi:10.1016/j.intman.2018.10.004 · Cited by 91
Zhong, L. (2022) · Interactive Learning Environments · doi:10.1080/10494820.2022.2061006 · Cited by 79
Morss, R. E., Demuth, J. L., Bostrom, A., Lazo, J. K., & Lazrus, H. (2015) · Risk Analysis · doi:10.1111/risa.12403 · Cited by 79
Strijbos, J.-W., & Stahl, G. (2007) · Learning and Instruction · doi:10.1016/j.learninstruc.2007.03.005 · Cited by 79
Car manufacturers’ changing political strategies on the ZEV mandate
Wesseling, J. H., Farla, J. C. M., Sperling, D., & Hekkert, M. P. (2014) · Transportation Research Part D Transport and Environment · doi:10.1016/j.trd.2014.06.006 · Cited by 79
Presseau, J., Sniehotta, F. F., Francis, J., & Campbell, N. C. (2009) · Implementation Science · doi:10.1186/1748-5908-4-77 · Cited by 85
Review of Discussions on Internet of Things (IoT)
Joseph, N., Kar, A. K., Ilavarasan, P. V., & Ganesh, S. (2017) · Journal of Global Information Management · doi:10.4018/jgim.2017040103 · Cited by 78
Emmer, C., Dorn, J., & Mata, J. (2024) · Psychological Bulletin · doi:10.1037/bul0000419 · Cited by 93
Learning in the wild: coding for learning and practice on Reddit
Haythornthwaite, C., Kumar, P., Gruzd, A. A., Gilbert, S., Valle, M. E. D., & Paulin, D. (2018) · Learning Media and Technology · doi:10.1080/17439884.2018.1498356 · Cited by 85
Baik, D. (. I., Chen, C. X., & Godsell, D. (2023) · The Accounting Review · doi:10.2308/tar-2022-0251 · Cited by 77
Frieß, D., Ziegele, M., & Heinbach, D. (2020) · Political Communication · doi:10.1080/10584609.2020.1830322 · Cited by 76
Business Lobbying in the European Union
Coen, D., Katsaitis, A., & Vannoni, M. (2021) · doi:10.1093/oso/9780199589753.001.0001 · Cited by 76
A Meta-Analysis of How Country-Level Factors Affect Web Survey Response Rates
Daikeler, J., Silber, H., & Bošnjak, M. (2021) · International Journal of Market Research · doi:10.1177/14707853211050916 · Cited by 75
Fahey, R. A., Matsubayashi, T., & Ueda, M. (2018) · Social Science & Medicine · doi:10.1016/j.socscimed.2018.10.004 · Cited by 75
Aday, S., Cluverius, J., & Livingston, S. G. (2005) · Journal of Broadcasting & Electronic Media · doi:10.1207/s15506878jobem4903_4 · Cited by 74
Finestack, L. H., Palmer, M., & Abbeduto, L. (2012) · American Journal of Speech-Language Pathology · doi:10.1044/1058-0360(2011/10-0095 · Cited by 74
Ward, K. M., Atkinson, J. P., Smith, C. A., & Windsor, R. A. (2013) · Intellectual and developmental disabilities · doi:10.1352/1934-9556-51.01.022 · Cited by 74
Fischer, D., Haucke, F. V., & Sundermann, A. (2017) · Sustainable Development · doi:10.1002/sd.1681 · Cited by 73
Future design of accessibility in games: A design vocabulary
Cairns, P. A., Power, C., Barlet, M., & Haynes, G. (2019) · International Journal of Human-Computer Studies · doi:10.1016/j.ijhcs.2019.06.010 · Cited by 89
Conducting qualitative content analysis in urban planning research and urban studies
Sheydayi, A., & Dadashpoor, H. (2023) · Habitat International · doi:10.1016/j.habitatint.2023.102878 · Cited by 73
Wells, R. S., Kolek, E. A., Williams, E. A., & Saunders, D. B. (2015) · The Journal of Higher Education · doi:10.1080/00221546.2015.11777361 · Cited by 94
Addressee Identification In Face-to-Face Meetings
Jovanović, N., den Akker, R. O., & Nijholt, A. (2006) · University of Twente Research Information · Cited by 72
Gurman, T. A., & Ellenberger, N. (2015) · Journal of Health Communication · doi:10.1080/10810730.2015.1018566 · Cited by 72
Delfino, M. M., & Manca, S. (2006) · Computers in Human Behavior · doi:10.1016/j.chb.2006.03.001 · Cited by 72
iElectrodes: A Comprehensive Open-Source Toolbox for Depth and Subdural Grid Electrode Localization
Blenkmann, A. O., Phillips, H. N., Princich, J. P., Rowe, J. B., Bekinschtein, T. A., Muravchik, C. H., & Kochen, S. S. (2017) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2017.00014 · Cited by 77
The game frame and political efficacy: Beyond the spiral of cynicism
Pedersen, R. T. (2012) · European Journal of Communication · doi:10.1177/0267323112454089 · Cited by 71
Annotator subjectivity in harmony annotations of popular music
Koops, H. V., Haas, W., Burgoyne, J., Bransen, J., Kent-Muller, A., & Volk, A. (2019) · Journal of New Music Research · doi:10.1080/09298215.2019.1613436 · Cited by 71
Risks and Rewards of Crowdsourcing Marketplaces
Chandler, J., Paolacci, G., & Mueller, P. A. (2013) · Springer eBooks · doi:10.1007/978-1-4614-8806-4_30 · Cited by 73
“I just want to be skinny.”: A content analysis of tweets expressing eating disorder symptoms
Cavazos‐Rehg, P. A., Krauss, M. J., Costello, S. J., Kaiser, N., Cahn, E. S., Fitzsimmons‐Craft, E. E., & Wilfley, D. E. (2019) · PLoS ONE · doi:10.1371/journal.pone.0207506 · Cited by 70
García-Díaz, J. A., Cánovas-García, M., & Valencia‐García, R. (2020) · Future Generation Computer Systems · doi:10.1016/j.future.2020.06.019 · Cited by 69
The Experience of Ethnic and Racial Group Membership Among Immigrant-Origin Adolescents
Tummala–Narra, P., & Sathasivam‐Rueckert, N. (2015) · Journal of Adolescent Research · doi:10.1177/0743558415592178 · Cited by 74
Thematic trends in event management research
Park, S. B., & Park, K. (2017) · International Journal of Contemporary Hospitality Management · doi:10.1108/ijchm-09-2015-0521 · Cited by 68
Liebst, L. S., Philpot, R., Bernasco, W., Dausel, K. L., Ejbye‐Ernst, P., Nicolaisen, M. H., & Lindegaard, M. R. (2019) · Aggressive Behavior · doi:10.1002/ab.21853 · Cited by 84
Feizizadeh, B., Darabi, S., Blaschke, T., & Lakes, T. (2022) · Sensors · doi:10.3390/s22124506 · Cited by 73
Nite, C. (2016) · Sport Management Review · doi:10.1016/j.smr.2016.10.005 · Cited by 68
Framing by the Flock: Collective Issue Definition and Advocacy Success
Junk, W. M., & Rasmussen, A. (2018) · Comparative Political Studies · doi:10.1177/0010414018784044 · Cited by 76
A Systematic Review of Responsibility Frames and Their Effects in the Health Context
Temmann, L. J., Wiedicke, A., Schaller, S., Scherr, S., & Reifegerste, D. (2021) · Journal of Health Communication · doi:10.1080/10810730.2021.2020381 · Cited by 67
A Call for Standardization in Content Analysis Reliability
Lombard, M. (2004) · Human Communication Research · doi:10.1111/j.1468-2958.2004.tb00739.x · Cited by 67
Nudity of female and male models in primetime TV advertising across seven countries
Nelson, M. R., & Paek, H. (2008) · International Journal of Advertising · doi:10.2501/s0265048708080281 · Cited by 67
Becker, K.-B., Simon, F. M., & Crum, C. (2025) · Digital Journalism · doi:10.1080/21670811.2024.2431519 · Cited by 78
Hot weather, hot topic. Polarization and sceptical framing in the climate debate on Twitter
Moernaut, R., Mast, J., Temmerman, M., & Broersma, M. (2022) · Information, Communication & Society · doi:10.1080/1369118x.2020.1834600 · Cited by 65
Brown, D. K., Harlow, S., García‐Perdomo, V., & Salaverría, R. (2018) · Mass Communication & Society · doi:10.1080/15205436.2018.1469773 · Cited by 65
When Do Politicians Use Populist Rhetoric? Populism as a Campaign Gamble
Dai, Y., & Kustov, A. (2022) · Political Communication · doi:10.1080/10584609.2022.2025505 · Cited by 65
Cohen’s kappa is a weighted average
Warrens, M. J. (2011) · Statistical Methodology · doi:10.1016/j.stamet.2011.06.002 · Cited by 65
Tourism destination image development: a lesson from Macau
Kong, W. H., du Cros, H., & Ong, C. (2015) · International Journal of Tourism Cities · doi:10.1108/ijtc-08-2014-0016 · Cited by 65
Whittington, R., Yakis‐Douglas, B., Ahn, K., & Cailluet, L. (2016) · Long Range Planning · doi:10.1016/j.lrp.2015.12.021 · Cited by 65
Pakhomov, S. V. S., Smith, G. E., Chacon, D., Feliciano, Y., Graff-Radford, N., Caselli, R., & Knopman, D. S. (2010) · Cognitive and Behavioral Neurology · doi:10.1097/wnn.0b013e3181c5dde3 · Cited by 64
“…annotation of linguistic features in spontaneous speech samples is a very labor intensive process and is subject to variable agreement among the annotators particularly in content analysis involving multiple semantic categories(Artstein & Poesio, 2008; Krippendorff, 2004; Poesio & Vieira, 1998).”
Background
Metadata
- Authors
- Krippendorff, K.
- Corresponding author
- Krippendorff, K.
- ORCID
- Krippendorff, K.
- Venue
- Human Communication Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2004-07-01
- Volume
- 30
- Issue
- 3
- Pages
- 411-433
- ISSN
- 0360-3989 (ISSN-L)
- 1468-2958
- OpenAlex
- W4243989635
- Cited by
- 1,027
- References
- 0
- Citations by year
- 2026: 42 · 2025: 100 · 2024: 108 · 2023: 108 · 2022: 124 · 2021: 135 · 2020: 105 · 2019: 57 · 2018: 44 · 2017: 29 · 2016: 41 · 2015: 25 · 2014: 26 · 2013: 21 · 2012: 15
- FWCI
- 5.93
- Type
- journal article
- Language
- en
- Open access
- green
- repository.upenn.edu
- Locations
- Human Communication Research (publishedVersion)
- ScholarlyCommons (University of Pennsylvania) (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Reliability and Agreement in Measurement
- Social Sciences › General Social Sciences › Computational and Text Analysis Methods
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Keywords
- inter-rater reliability, reliability coefficients, interobserver agreement, reporting reliability
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