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Keyword

human coding

Description: The process of having people assign categories or labels to information, often alongside automated coding in research and computational workflows.
OpenAlex ID: keywords/human-coding
Content analysis and thematic analysis
2018 · Kimberly A. Neuendorf · Routledge eBooks · 535
Detecting suicidality on Twitter
2015 · Bridianne O'Dea, Stephen Wan, et al. · Internet Interventions · 439
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Where in the World Are You? Geolocation and Language Identification in Twitter
2014 · Mark Graham, Scott A. Hale, et al. · The Professional Geographer · 319
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Computerized Content Analysis in Management Research: A Demonstration of Advantages & Limitations
1994 · R Morris · Journal of Management · 274
Content Analysis—A Methodological Primer for Gender Research
2010 · Kimberly A. Neuendorf · Sex Roles · 271
What is the prevalence of health-related searches on the World Wide Web? Qualitative and quantitative analysis of search engine queries on the internet.
2003 · G Eysenbach, Ch Kohler · PubMed · 231
Analyzing qualitative data
2017 · Jonathan Lazar, Jinjuan Heidi Feng, et al. · Elsevier eBooks · 215
Content Analysis
2015 · Kimberly A. Neuendorf, Anup Kumar · The International Encyclopedia of Political Communication · 175
Consumer Responses to Femvertising: A Data-Mining Case of Dove’s “Campaign for Real Beauty” on YouTube
2019 · Yang Feng, Huan Chen, et al. · Journal of Advertising · 114
Automatically Measuring Question Authenticity in Real-World Classrooms
2018 · Sean Kelly, Andrew M. Olney, et al. · Educational Researcher · 114
The Subjective Precision of Computers: A Methodological Comparison with Human Coding in Content Analysis
2006 · Mike Conway · Journalism & Mass Communication Quarterly · 91
Toward Real-Time Infoveillance of Twitter Health Messages
2018 · Jason B. Colditz, Kar-Hai Chu, et al. · American Journal of Public Health · 85
Quantitative content analysis as a method for business ethics research
2015 · Irina Lock, Peter Seele · Business Ethics A European Review · 74
Fundamental Data Compression
2005 · Ida Pu · Goldsmiths (University of London) · 73
Exploring the potential of ChatGPT in assessing L2 writing accuracy for research purposes
2023 · Adam Pfau, Charlene Polio, et al. · Research Methods in Applied Linguistics · 72
Using a combination of human insights and ‘deep learning’ for real-time disaster communication
2019 · Brett W. Robertson, Matthew Johnson, et al. · Progress in Disaster Science · 66
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Quantifying Toxicity and Verbal Violence on Twitter
2016 · Joshua Guberman, Carol Schmitz, et al. · 42
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Collaborating with the Machines: A Hybrid Method for Classifying Policy Documents
2018 · Matt W. Loftis, Peter B. Mortensen · Policy Studies Journal · 39
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Alterations in facial expressions of emotion: Determining the promise of ultrathin slicing approaches and comparing human and automated coding methods in psychosis risk.
2020 · Tina Gupta, Claudia M. Haase, et al. · Emotion · 37
Crowdsourcing content analysis for managerial research
2014 · Caryn Conley, Jennifer Tosti-Kharas · Management Decision · 37
Validating LIWC Dictionaries
2013 · William A. Donohue, Yuhua Liang, et al. · Journal of Language and Social Psychology · 36
Analysis-based coding of image transform and subband coefficients
1995 · V. Ralph Algazi, Robert R. Estes, Jr. · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 34
A Comparison of Human Narrative Coding of Redemption and Automated Linguistic Analysis for Understanding Life Stories
2015 · Sara J. Weston, Keith S. Cox, et al. · Journal of Personality · 33
How to mine brand Tweets: Procedural guidelines and pretest
2014 · Shintaro Okazaki, Ana M. Dìaz-Martìn, et al. · International Journal of Market Research · 29
Using machine learning for communication classification
2019 · Stefan P. Penczynski · Experimental Economics · 23
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Works count: 141
Citation count: 3,833
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