Abedin, E., M. Ferreira, R. Reimann, M. Cheong, I. Grossmann, and M. Alfano. 2023. Exploring intellectual humility through the lens of artificial intelligence: Top terms, features and a predictive model. Acta Psychologica 238: 103979.

Article  Google Scholar 

Adoma, A. F., Henry, N.-M., & Chen, W. (2020). Comparative Analyses of Bert, Roberta, Distilbert, and Xlnet for TextBased Emotion Recognition. In 2020 17th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP) (pp. 117–121). Retrieved 2023–12–19, from https://ieeexplore.ieee.org/abstract/document/9317379https://doi.org/10.1109/ICCWAMTIP51612.2020.9317379

Ahmed, Z., Vidgen, B., & Hale, S. A. (2022). Tackling racial bias in automated online hate detection: Towards fair and accurate detection of hateful users with geometric deep learning. EPJ Data Science, 11(1), 8. Retrieved 2023–12–19, from https://epjds.epj.org/articles/epjdata/abs/2022/01/13688_2022_Article_319/13688_2022 _Article_319.html

Ahn, W.K., and M.S. Lebowitz. 2018. An experiment assessing effects of personalized feedback about genetic susceptibility to obesity on attitudes towards diet and exercise. Appetite 120: 23–31.

Article  Google Scholar 

Anzovino, M., Fersini, E., & Rosso, P. (2018). Automatic identification and classification of misogynistic language on twitter. In Natural language processing and information systems: 23rd international conference on applications of natural language to information systems, nldb 2018, paris, france, june 13–15, 2018, proceedings 23 (pp. 57–64).

Aspinwall, Lisa G., Teneille R. Brown, and James Tabery. 2012. The double-edged sword: Does biomechanism increase or decrease judges’ sentencing of psychopaths? Science 337 (6096): 846–849.

Article  Google Scholar 

Badjatiya, P., Gupta, S., Gupta, M., & Varma, V. (2017). Deep Learning for Hate Speech Detection in Tweets. In Proceedings of the 26th International Conference on World Wide Web Companion - WWW ’17 Companion (pp. 759– 760). ACM Press. Retrieved 2023–12–19, from http://dl.acm.org/citation.cfm?d=3041021.3054223https://doi.org/10.1145/3041021.3054223

Bastian, B., and N. Haslam. 2006. Psychological essentialism and stereotype endorsement. Journal of Experimental Social Psychology 42 (2): 228–235. https://doi.org/10.1016/j.jesp.2005.03.003.

Article  Google Scholar 

Bednarek, M., Bray, C., Vanichkina, D. P., Brookes, G., Bonfiglioli, C., Coltman-Patel, T., … Baker, P. (2023). Weight stigma: Towards a language-informed analytical framework. Applied Linguistics, amad033.

Brookes, G., & Baker, P. (2021). Obesity in the news: Language and representation in the press. Cambridge University Press.

Bubela, T.M., and T.A. Caulfield. 2004. Do the print media “hype” genetic research? a comparison of newspaper stories and peer-reviewed research papers. CMAJ 170 (9): 1399–1407.

Article  Google Scholar 

Burton, S., E.H. Creyer, J. Kees, and K. Huggins. 2006. Attacking the obesity epidemic: The potential health benefits of providing nutrition information in restaurants. American Journal of Public Health 96 (9): 1669–1675.

Article  Google Scholar 

Carver, R.B., J. Castéra, N. Gericke, N.A.M. Evangelista, and C.N. El-Hani. 2017. Young adults’ belief in genetic determinism, and knowledge and attitudes towards modern genetics and genomics: The puggs questionnaire. PLoS ONE 12 (1): e0169808.

Article  Google Scholar 

Castéra, J., and P. Clément. 2014. Teachers’ conceptions about the genetic determinism of human behaviour: A survey in 23 countries. Science & Education 23: 417–443.

Article  Google Scholar 

Christensen, K., T. Jayaratne, J. Roberts, S. Kardia, and E. Petty. 2010. Understandings of Basic Genetics in the United States: Results from a National Survey of Black and White Men and Women. Public Health Genomics 13 (7–8): 467–476.

Article  Google Scholar 

Chung, W.K. 2012. An overview of monogenic and syndromic obesities in humans. Pediatric Blood & Cancer 58 (1): 122–128.

Article  Google Scholar 

Coltman-Patel, T. (2023). (mis) representing weight and obesity in the british press: Fear, divisiveness, shame and stigma. Springer Nature.

Condit, C.M. 2011. When do people deploy genetic determinism? a review pointing to the need for multi-factorial theories of public utilization of scientific discourses. Sociology Compass 5 (7): 618–635.

Article  Google Scholar 

Condit, C.M., N. Ofulue, and K.M. Sheedy. 1998. Determinism and mass-media portrayals of genetics. The American Journal of Human Genetics 62 (4): 979–984.

Article  Google Scholar 

Conrad, P. 1997. Public eyes and private genes: Historical frames, news constructions, and social problems. Soc. Probs. 44: 139.

Article  Google Scholar 

Conrad, P., & Markens, S. (2001). Constructing the ‘gay gene’ in the news: optimism and skepticism in the us and british press. Health:5(3), 373–400.

Dar-Nimrod, I., and S.J. Heine. 2011. Genetic essentialism: On the deceptive determinism of DNA. Psychological bulletin 137 (5): 800.

Article  Google Scholar 

Dar-Nimrod, I., M. Zuckerman, and P. Duberstein. 2014. Smoking at the workplace: Effects of genetic and environmental causal accounts on attitudes toward smoking employees and restrictive policies. New Genetics and Society 33 (4): 400–412. https://doi.org/10.1080/14636778.2014.951993.

Article  Google Scholar 

Dar-Nimrod, I., R. Kuntzman, G. MacNevin, K. Lynch, M. Woods, and J. Morandini. 2021. Genetic essentialism: The mediating role of essentialist biases on the relationship between genetic knowledge and the interpretations of genetic information. European Journal of Medical Genetics 64 (1): 104119.

Article  Google Scholar 

de Carvalho, F. N., & Krueger, J. (2023). Biases in niche construction. Philosophical Psychology, 1–31.

Devlin, J., Chang, M.-W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805.

Douglas, H. 2000. Inductive risk and values in science. Philosophy of Science 67 (4): 559–579.

Article  Google Scholar 

Dunivin, Z. (2024). Scalable Qualitative Coding with LLMs: Chain-of-Thought Reasoning Matches Human Performance in Some Hermeneutic Tasks. arXiv preprint at arXiv:2401.15170.

Ferdowsy, F., K.S.A. Rahi, M.I. Jabiullah, and M.T. Habib. 2021. A machine learning approach for obesity risk prediction. Current Research in Behavioral Sciences 2: 100053.

Article  Google Scholar 

Flint, S.W., J. Hudson, and D. Lavallee. 2015. UK adults’ implicit and explicit attitudes towards obesity: a cross-sectional study. BMC obesity 2: 1–8.

Article  Google Scholar 

Fortuna, P., and S. Nunes. 2019. A Survey on Automatic Detection of Hate Speech in Text. ACM Computing Surveys 51 (4): 1–30. https://doi.org/10.1145/3232676.

Article  Google Scholar 

Gould, W.A., and S.J. Heine. 2012. Implicit essentialism: Genetic concepts are implicitly associated with fate concepts. PLoS ONE 7 (6): e38176.

Article  Google Scholar 

Greenwald, A.G., M.R. Banaji, L.A. Rudman, S.D. Farnham, B.A. Nosek, and D.S. Mellott. 2002. A unified theory of implicit attitudes, stereotypes, self-esteem, and self-concept. Psychological Review 109 (1): 3.

Article  Google Scholar 

Griffiths, P.E. 2002. What is Innateness? The Monist 85 (1): 70–85. https://doi.org/10.5840/monist20028518.

Article  Google Scholar 

Halford, J.C., E.J. Boyland, G. Hughes, L.P. Oliveira, and T.M. Dovey. 2007. Beyond-brand effect of television (TV) food advertisements/commercials on caloric intake and food choice of 5–7-year-old children. Appetite 49 (1): 263–267.

Article  Google Scholar 

Hamborg, F., K. Donnay, and B. Gipp. 2019. Automated identification of media bias in news articles: An interdisciplinary literature review. International Journal on Digital Libraries 20 (4): 391–415.

Article  Google Scholar 

Harden, K.P. 2021. “Reports of my death were greatly exaggerated”: Behavior genetics in the postgenomic era. Annual Review of Psychology 72 (1): 37–60.

Article  Google Scholar 

Haslam, N., and E.P. Kvaale. 2015. Biogenetic explanations of mental disorder: The mixed-blessings model. Current Directions in Psychological Science 24 (5): 399–404.

Article  Google Scholar 

Herd, Pamela, Jeremy Freese, Kamil Sicinski, Benjamin W. Domingue, Kathleen Mullan Harris, Caiping Wei, and Robert M. Hauser. 2019. Genes, gender inequality, and educational attainment. American Sociological Review 84: 1069–1098.

Article  Google Scholar 

Holtzman, N.A. 1997. Testing for genetic susceptibility: What you see is not what you get. Accountability in Research 5 (1–3): 95–101.

Article  Google Scholar 

Holtzman, N.A. 1999. Are genetic tests adequately regulated? Science 286 (5439): 409–409. https://doi.org/10.1126/science.286.5439.409.

Article  Google Scholar 

Jayaratne, T.E., O. Ybarra, J.P. Sheldon, T.N. Brown, M. Feldbaum, C.A. Pfeffer, and E.M. Petty. 2006. White Americans’ Genetic Lay Theories of Race Differences and Sexual Orientation: Their Relationship with Prejudice toward Blacks, and Gay Men and Lesbians. Group Processes & Intergroup Relations 9 (1): 77–94. https://doi.org/10.1177/1368430206059863.

Article  Google Scholar 

Karaca, K. 2021. Values and inductive risk in machine learning modelling: The case of binary classification models. European Journal for Philosophy of Science 11 (4): 102.

Article  Google Scholar 

Kaur, Y., R.J. de Souza, W.T. Gibson, and D. Meyre. 2017. A systematic review of genetic syndromes with obesity. Obesity Reviews 18 (6): 603–634. https://doi.org/10.1111/obr.12531.

Article  Google Scholar 

Kirk, S.F., T.L. Penney, and T.L. McHugh. 2010. Characterizing the obesogenic environment: The state of the evidence with directions for future research. Obesity Reviews 11 (2): 109–117.

Article  Google Scholar 

Klein, C., R. Reimann, I.O. Quintana, M. Cheong, M. Ferreira, and M. Alfano. 2022. Attention and counter-framing in the black lives matter movement on twitter. Humanities and Social Sciences Communications 9 (1): 1–12.

Article  Google Scholar 

Kokol, P., M. Kokol, and S. Zagoranski. 2022. Machine learning on small size samples: A synthetic knowledge synthesis. Science Progress 105 (1): 00368504211029777.

Article  Google Scholar 

Kronfeldner, M. E. (2009–06). Genetic Determinism and the Innate-Acquired Distinction in Medicine. Medicine Studies, 1(2), 167–181. https://doi.org/10.1007/s12376-009-0014-8

Lane, A.S., K.E. Lynch, M. Arnold, I. Dar-Nimrod, J. Morandini, S.A. Gawronski, and P.E. Griffiths. 2023. The undue influence of genetic information on senior medical students’ treatment decisions. BMC Medical Education 23 (1): 938. https://doi.org/10.1186/s12909-023-04895-w.

Article  Google Scholar 

Leboeuf, C. (2020). The embodied biased mind. An introduction to implicit bias: Knowledge, justice, and the social mind. Routledge.

Lebowitz, M.S., and W.K. Ahn. 2014. Effects of biological explanations for mental disorders on clinicians’ empathy. Proceedings of the National Academy of Sciences 111 (50): 17786–17790.

Article  Google Scholar 

Lim, S., Jatowt, A., & Yoshikawa, M. (2018). Understanding characteristics of biased sentences in news articles. In Cikm workshops (pp. 121–128).

Linquist, S., E. Machery, P.E. Griffiths, and K. Stotz. 2011. Exploring the folkbiological conception of human nature. Philosophical Transactions of the Royal Society b: Biological Sciences 366 (1563): 444–453.

Article