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Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study
16 references·1 citing·46 second hop
Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study (2023)Gender Bias When Using Artificial Intelli…A Survey on Bias and Fairness in Machine Learning (2021)A Survey on Bias and Fairness…Methods in predictive techniques for mental health status on social media: a critical review (2020)Methods in predictive techniq…Social Data: Biases, Methodological Pitfalls, and Ethical Boundaries (2019)Social Data: Biases, Methodol…Body Dissatisfaction, Importance of Appearance, and Body Appreciation in Men and Women Over the Lifespan (2019)Body Dissatisfaction, Importa…Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings (2018)Expert, Crowdsourced, and Mac…The SAGE Encyclopedia of Communication Research Methods (2017)The SAGE Encyclopedia of Comm…Semantics derived automatically from language corpora contain human-like biases (2017)Semantics derived automatical…Post-traumatic Stress Disorder by Gender and Veteran Status (2017)Post-traumatic Stress Disorde…Ethical Research Protocols for Social Media Health Research (2017)Ethical Research Protocols fo…CLPsych 2015 Shared Task: Depression and PTSD on Twitter (2015)CLPsych 2015 Shared Task: Dep…Quantifying Mental Health Signals in Twitter (2014)Quantifying Mental Health Sig…Diagnostic and Statistical Manual of Mental Disorders (2013)Diagnostic and Statistical Ma…Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial (2012)Computing Inter-Rater Reliabi…Data preprocessing techniques for classification without discrimination (2011)Data preprocessing techniques…Intraclass correlations: Uses in assessing rater reliability. (1979)Intraclass correlations: Uses…Measuring nominal scale agreement among many raters. (1971)Measuring nominal scale agree…Biases in Artificial Intelligence Application in Pain Medicine (2025)Biases in Artificial Intellig…Weighted kappa: Nominal scale agreement provision for scaled disagreement or partial credit. (1968)Is the CVI an acceptable indicator of content validity? Appraisal and recommendations (2007)The spread of true and false news online (2018)Coefficient Alpha and the Internal Structure of Tests (1951)Statistical principles in experimental design. (1962)Statistical Theories of Mental Test Scores (1969)Assessing the quality of reports of randomized clinical trials: Is blinding necessary? (1996)The job demands-resources model of burnout. 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References

  • 2013Diagnostic and Statistical Manual of Mental Disorders116,254 cited
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  • 1971Measuring nominal scale agreement among many raters.8,717 cited
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  • 2017Semantics derived automatically from language corpora contain human-like biases2,845 cited
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  • 2015CLPsych 2015 Shared Task: Depression and PTSD on Twitter329 cited
  • 2017Post-traumatic Stress Disorder by Gender and Veteran Status298 cited
  • 2017Ethical Research Protocols for Social Media Health Research

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219 cited
  • 2018Expert, Crowdsourced, and Machine Assessment of Suicide Risk via Online Postings218 cited
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    • 2025Biases in Artificial Intelligence Application in Pain Medicine19 cited