References
- Batelaan, K. (2021). It’s not the science we distrust; it’s the scientists’: Reframing the anti-vaccination movement within Black communities. Global Public Health, 1–14. https://doi.org/https://doi.org/10.1080/17441692.2021.1912809
- Bell, P. (2001). Content analysis of visual images. In T. Van Leeuwen, & C. Jewitt (Eds.), Handbook of visual analysis (pp. 10–34). Sage Publications.
- Bozzato, P., Fabris, M. F., & Longobardi, C. (2021). Gender, stereotypes and grade level in the draw-a-scientist test in Italian schoolchildren. International Journal of Science Education, 43(16), 2640–2662. https://doi.org/https://doi.org/10.1080/09500693.2021.1982062
- Brambilla, M., Rusconi, P., Sacchi, S., & Cherubini, P. (2011). Looking for honesty: The primary role of morality (vs. Sociability and competence) in information gathering. European Journal of Social Psychology, 41(2), 135–143. https://doi.org/https://doi.org/10.1002/ejsp.744
- Chambers, D. W. (1983). Stereotypic images of the scientist: The Draw-a-Scientist test. Science Education, 67(2), 255–265. https://doi.org/https://doi.org/10.1002/sce.3730670213
- Charlton, B. G. (2009). Why are modern scientists so dull? How science selects for perseverance and sociability at the expense of intelligence and creativity. Medical Hypotheses, 72(3), 237–243. https://doi.org/https://doi.org/10.1016/j.mehy.2008.11.020
- Cofnas, N., & Carl, N. (2018). Does activism in social science explain conservatives’ distrust of scientists? The American Sociologist, 49(1), 135–148. https://doi.org/https://doi.org/10.1007/s12108-017-9362-0
- Cubero, S. N. (2017). Essential communication skills for engineers, scientists and multi-disciplinary teams. International Journal of Information and Education Technology, 7(7), 483–494. https://doi.org/https://doi.org/10.18178/IJIET
- Cuddy, A. J., Fiske, S. T., & Glick, P. (2007). The BIAS map: Behaviors from intergroup affect and stereotypes. Journal of Personality and Social Psychology, 92(4), 631–648. https://doi.org/https://doi.org/10.1037/0022-3514.92.4.631
- Cuddy, A. J., Fiske, S. T., Kwan, V. S., Glick, P., Demoulin, S., Leyens, J. P., Bond, M. H., Croizst, J. C., Ellemers, N., Sleebos, E., Htun, T. T., Kim, H. J., Maio, G., Perry, J., Petkova, K., Todorov, V., Rodriguez-Bailon, R., Morales, E., Moya, M., … Htun, T. T. (2009). Stereotype content model across cultures: Towards universal similarities and some differences. British Journal of Social Psychology, 48(1), 1–33. https://doi.org/https://doi.org/10.1348/014466608X314935
- Cuddy, A. J. C., Fiske, S. T., & Glick, P. (2008). Warmth and competence as universal dimensions of social perception: The stereotype content model and the BIAS map. In M. P. Zanna (Ed.), Advances in experimental social psychology: Vol. 40. Advances in experimental social psychology (pp. 61–149). Elsevier Academic Press. https://doi.org/https://doi.org/10.1016/S0065-2601(07)00002-0.
- Dobson, K., & Knezevic, I. (2018). “Ain't nobody got time for that!”: framing and stereotyping in legacy and social media. Canadian Journal of Communication, 43(3), 381–397. https://doi.org/https://doi.org/10.22230/cjc.2018v43n3a3378
- Dudek, K., & Bernard, P. (2015). Polish lower and upper secondary school students’ conceptions of a scientist. Problems of Education in the 21st Century, 63(1), 40–52. https://doi.org/https://doi.org/10.33225/pec/15.63.40
- Dudo, A., Brossard, D., Shanahan, J., Scheufele, D. A., Morgan, M., & Signorielli, N. (2011). Science on television in the 21st century: Recent trends in portrayals and their contributions to public attitudes toward science. Communication Research, 38(6), 754–777. https://doi.org/https://doi.org/10.1177/0093650210384988
- Eppink, J. (2014). A brief history of the GIF (so far). Journal of Visual Culture, 13(3), 298–306. https://doi.org/https://doi.org/10.1177/1470412914553365
- Ertl, B., Luttenberger, S., & Paechter, M. (2017). The impact of gender stereotypes on the self-concept of female students in STEM subjects with an under- representation of females. Frontiers in Psychology, 8(703), 1–11. https://doi.org/https://doi.org/10.3389/fpsyg.2017.00703
- Fiske, S. T. (2013). Varieties of (De) humanization: Divided by competition and status. In S. Gervais (Ed.), Objectification and (De)Humanization. Springer. https://doi.org/https://doi.org/10.1007/978-1-4614-6959-9_3.
- Fiske, S. T. (2018). Stereotype content: Warmth and competence endure. Current Directions in Psychological Science, 27(2), 67–73. https://doi.org/https://doi.org/10.117/0963721417738825
- Fiske, S. T., Cuddy, A. J., & Glick, P. (2007). Universal dimensions of social cognition: Warmth and competence. Trends in Cognitive Sciences, 11(2), 77–83. https://doi.org/https://doi.org/10.1016/j.tics.2006.11.005
- Fiske, S. T., Cuddy, A. J., Glick, P., & Xu, J. (2002). A model of (often mixed) stereotype content: Competence and warmth respectively follow from perceived status and competition. The Journal of Personality and Social Psychology, 82(6), 878–902. https://doi.org/https://doi.org/10.1037/0022-3514.82.6.878
- Fiske, S. T., & Dupree, C. (2014). Gaining trust as well as respect in communicating to motivated audiences about science topics. Proceedings of the National Academy of Sciences, 111(4), 13593–13597. https://doi.org/https://doi.org/10.1073/pnas.1317505111
- Fleischmann, A., Lammers, J., Stoker, J. I., & Garretsen, H. (2019). You can leave your glasses on: Glasses can increase electoral success. Social Psychology, 50(1), 38–52. https://doi.org/https://doi.org/10.1027/1864-9335/a00035
- Frayling, C. (2005). Hollywood’s changing take on the scientist. New Scientist, 187(2518), 48–50.
- Fujiwara, Y. 2021. “Analyzing warmth and competence in secondary and tertiary Thai students’ judgment of scientists from internet sourced meme-based GIFs. [Doctoral dissertation, Texas Tech University].
- Gainer, J. S., & Lapp, D. (2010). Remixing old and new literacies = motivated students. English Journal, 100(1), 58–64.
- Gerger, G., Forster, M., & Leder, H. (2017). It felt fluent but I did not like it: Fluency effects in faces versus patterns. Quarterly Journal of Experimental Psychology, 70(4), 637–648. https://doi.org/https://doi.org/10.1080/17470218.2016.1145705
- Goodwin, G. P., Piazza, J., & Rozin, P. (2014). Moral character predominates in person perception and evaluation. Journal of Personality and Social Psychology, 106(1), 148–168. https://doi.org/https://doi.org/10.1037/a0034726
- Gottfredson, L. S., & Lapan, R. T. (1997). Assessing gender-based circumscription of occupational aspirations. Journal of Career Assessment, 5(4), 419–441. https://doi.org/https://doi.org/10.1177/106907279700500404
- Gürsimsek, ÖA. (2016). Animated GIFs as vernacular graphic design: Producing tumblr blogs. Visual Communication, 15(3), 329–349. https://doi.org/https://doi.org/10.1177/1470357216645481
- Hack, T. (2014). Forming impressions: Effects of facial expression and gender stereotypes. Psychological Reports, 114(2), 557–571. https://doi.org/https://doi.org/10.2466/07.17.PR0.114k17w6
- Haynes, R. D. (2003). From alchemy to artificial intelligence: Stereotypes of the scientist in Western literature. Public Understanding of Science, 12(3), 243–253. https://doi.org/https://doi.org/10.1177/0963662503123003
- Haynes, R. D. (2016). Whatever happened to the ‘mad, bad’ scientist? Overturning the stereotype. Public Understanding of Science, 25(1), 31–44. https://doi.org/https://doi.org/10.1177/0963662514535689
- Hillman, S. J., Bloodsworth, K. H., Tilburg, C. E., Zeeman, S. I., & List, H. E. (2014). K- 12 students’ perceptions of scientists: Finding a valid measurement and exploring whether exposure to scientists makes an impact. International Journal of Science Education, 36(15), 2580–2595. https://doi.org/https://doi.org/10.1080/09500693.2014.908264
- Hite, R. (2021). Differences and Similarities in Scientists’ Images Among Popular U.S. Middle Grades Science Textbooks. European Journal of Mathematics and Science Education, 2(2), 63–83. https://doi.org/https://doi.org/10.12973/ejmse.2.2.63
- Hotez, P. J. (2020). Anti-science extremism in America: Escalating and globalizing. Microbes and Infection, 22(10), 505–507. https://doi.org/https://doi.org/10.1016/j.micinf.2020.09.005
- Hsieh, H., & Shannon, S. E. (2005). Three approaches to qualitative content analysis. Qualitative Health Research, 15(9), 1277–1289. https://doi.org/https://doi.org/10.1177/1049732305276687
- Imhoff, R., Woelki, J., Hanke, S., & Dotsch, R. (2013). Warmth and competence in your face! Visual encoding of stereotype content. Frontiers in Psychology, 4(386), 1–8. https://doi.org/https://doi.org/10.3389/fpsyg.2013.00386
- Jarreau, P. B., Cancellare, I. A., Carmichael, B. J., Porter, L., Toker, D., & Yammine, S. Z. (2019). Using selfies to challenge public stereotypes of scientists. PLoS ONE, 14(5), 1–23. https://doi.org/https://doi.org/10.1371/journal.pone.0216625
- Jellesma, F. C. (2013). Do glasses change children’s perceptions? Effects of eyeglasses on peer-and self-perception. European Journal of Developmental Psychology, 10(4), 449–460. https://doi.org/https://doi.org/10.1080/17405629.2012.700199
- Jenkins, H. (2006). Convergence culture: Where old and new media collide. New York University Press. https://doi.org/https://doi.org/10.1177/1354856507084415.
- Jones, L. K., & Hite, R. L. (2020). Who wants to be a scientist in South Korea: assessing role model influences on Korean students’ perceptions of science and scientists. International Journal of Science Education, 42(16), 2674–2695. https://doi.org/https://doi.org/10.1080/09500693.2020.1829158
- Kanai, A. (2016). Sociality and classification: Reading gender, race, and class in a humorous meme. Social Media+Society, 2(4), 1–12. https://doi.org/https://doi.org/10.1177/2056305116672884
- Kervyn, N., Fiske, S. T., & Yzerbyt, Y. (2015). Foretelling the primary dimension of social cognition: Symbolic and realistic threats together predict warmth in the stereotype content model. Social Psychology, 46(1), 36–45. https://doi.org/https://doi.org/10.1027/1864-9335/a000219
- Knobel, M., & Lankshear, C. (2007). Online memes, affinities, and cultural production. In M. Knobel, & C. Lankshear (Eds.), A new literacies sampler (pp. 199–227). Peter Lang Publishing.
- Knobel, M., & Lankshear, C. (2008). Remix: The art and craft of endless hybridization. Journal of Adolescent & Adult Literacy, 52(1), 22–23. https://doi.org/https://doi.org/10.1598/JAAL.52.1.3
- Knutson, B. (1996). Facial expressions of emotion influence interpersonal trait inferences. Journal of Nonverbal Behavior, 20(3), 165–182. https://doi.org/https://doi.org/10.1007/BF02281954. http://web.stanford.edu.lib- e2.lib.ttu.edu/group/spanlab/Publications/bk96jnb.pdf
- Krippendorff, K. (2004). Content analysis: An introduction to its methodology. Sage Publications.
- Krys, K., Vauclair, C. M., Capaldi, C. A., Lun, V. M. C., Bond, M. H., Domínguez-Espinosa, A., Melanie Vauclair C. Torres Claudio Lipp Ottmar V. Manickam L. Sam S. Xing Cai Antalíková Radka Pavlopoulos Vassilis Teyssier Julien Hur Taekyun Hansen Karolina Szarota Piotr Ahmed Ramadan A. Burtceva Eleonora Chkhaidze Ana, … & Yu, A. (2016). Be careful where you smile: Culture shapes judgments of intelligence and honesty of smiling individuals. Journal of Nonverbal Behavior, 40(2), 101–116. https://doi.org/https://doi.org/10.1007/s10919-015-0226-4
- Makarova, E., Aeschlimann, B., & Herzog, W. (2019). The gender gap in STEM fields: The impact of the gender stereotype of math and science on secondary students’ career aspiration. Frontiers in Education, 4(60), 1–11. https://doi.org/https://doi.org/10.3389/feduc.2019.00060.
- Mann, M., & Schleifer, C. (2020). Love the science, hate the scientists: Conservative identity protects belief in science and undermines trust in scientists. Social Forces, 99(1), 305–332. https://doi.org/https://doi.org/10.1093/sf/soz156
- Mayring, P. (2014). Qualitative content analysis: Theoretical foundation, basic procedures and software solutions. Sage Publications.
- McHugh, M. L. (2013). The chi-square test of independence. Biochemia Medica, 23(2), 143–149. https://doi.org/https://doi.org/10.11613/bm.2013.018
- Miltner, K. M., & Highfield, T. (2017). Never gonna GIF you up: Analyzing the cultural significance of the animated GIF. Social Media+Society, 3(3), 1–11. https://doi.org/https://doi.org/10.1177/2056305117725223
- Naab, T. K., & Sehl, A. (2017). Studies of user-generated content: A systematic review. Journalism, 18(10), 1256–1273. https://doi.org/https://doi.org/10.1177/1464884916673557
- Neill, U. (2019, January 15). Hollywood's portrayals of science and scientists are ridiculous. Scientific American. https://blogs.scientificamerican.com/observations/hollywoods-portrayals-of-science-and-scientists-are-ridiculous/
- Newman, R., Furnham, A., Weis, L., Gee, M., Cardos, R., Lay, A., & McClelland, A. (2016). Nonverbal presence: How changing your behaviour can increase your ratings for persuasion, leadership and confidence. Psychology (Savannah, GA ), 7(4), 488–499. https://doi.org/https://doi.org/10.4236/psych.2016.74050
- Nguyen, T. H. D., Carstensdottir, E., Ngo, N., El-Nasr, M. S., Gray, M., Isaacowitz, D., & Desteno, D. (2015). Modeling warmth and competence in virtual characters. In W. P. Brinkmam, J. Broekens, & D. Heylen (Eds.), International conference on intelligent virtual agents (pp. 167–180). Springer. https://doi.org/https://doi.org/10.1007/978-3-319-21996-7_18.
- Nisbet, M. C., & Dudo, A. (2013). Entertainment media portrayals and their effects on the public understanding of science. In D. J. Nelson, K. R. Grazier, J. Pagial, & S. Perkowitz (Eds.), Hollywood chemistry: When science met entertainment (pp. 241–249). American Chemical Society. https://doi.org/https://doi.org/10.1021/bk-2013-1139.ch020.
- Palomba, R. (2017). How to undo stereotypes about scientists and science. In A. Tintori, & P. Palomba (Eds.), Turn on the light on science (pp. 19–49). Ubiquity Press. https://doi.org/https://doi.org/10.5334/bba.c.
- Pansegrau, P. (2008). Stereotypes and images of scientists in fiction films. In B. Ηüppauf, & P. Weingart (Eds.), Science images and popular images of the sciences (pp. 257–266). Routledge.
- Paulus, A., Rohr, M., Dotsch, R., & Wentura, D. (2016). Positive feeling, negative meaning: Visualizing the mental representations of in-group and out-group smiles. PLoS ONE, 11(3), 1–18. https://doi.org/https://doi.org/10.1371/journal.pone.0151230
- Radcliff, M. (2008). Absentminded professor or romantic artist?: The depiction of creativity in documentary biographies of Albert Einstein. Journal of Popular Film and Television, 36(2), 62–71. https://doi.org/https://doi.org/10.3200/JPFT.36.2.62-71
- Rahm, J., & Charbonneau, P. (1997). Probing stereotypes through students’ drawings of scientists. American Journal of Physics, 65(8), 774–778. https://doi.org/https://doi.org/10.1119/1.18647
- Reis, P., & Galvão, C. (2004). Socio-scientific controversies and students’ conceptions about scientists. International Journal of Science Education, 26(13), 1621–1633. https://doi.org/https://doi.org/10.1080/0950069042000205413
- Rennung, M., Blum, J., & Göritz, A. S. (2016). To strike a pose: No stereotype backlash for power posing women. Frontiers in Psychology, https://doi.org/https://doi.org/10.3389/fpsyg.2016.01463
- Rosenstone, R. A. (2003). Comments on science in the visual media. Public Understanding of Science, 12(3), 335–339. https://doi.org/https://doi.org/10.1177/0963662503123011
- Rutjens, B. T., & Heine, S. J. (2016). The immoral landscape? Scientists are associated with violations of morality. PLoS ONE, 11(4), 1–16. https://doi.org/https://doi.org/10.1371/journal.pone.0152798
- Saldaña, J. (2015). The coding manual for qualitative researchers (2nd ed). Sage Publications.
- Sandelowski, M. (2000). Whatever happened to qualitative description? Research in Nursing & Health, 23(4), 334–340. https://doi.org/https://doi.org/10.1002/1098-240X(200008)23:4<334::AID-NUR9>3.0.CO;2-G
- Sandelowski, M. (2010). What's in a name? Qualitative description revisited. Research in Nursing & Health, 33(1), 77–84. https://doi.org/https://doi.org/10.1002/nur.20362
- Sayans-Jiménez, P., Cuadrado, I., Rojas, A. J., & Barrada, J. R. (2017a). Extracting the evaluations of stereotypes: Bi-factor model of the stereotype content structure. Frontiers in Psychology, 8, 1692. https://doi.org/https://doi.org/10.3389/fpsyg.2017.01692
- Sayans-Jiménez, P., Rojas Tejada, A. J., & Cuadrado Guirado, I. (2017b). Is it advisable to include negative attributes to assess the stereotype content? Yes, but only in the morality dimension. Scandinavian Journal of Psychology, 58(2), 170–178. https://doi.org/https://doi.org/10.1111/sjop.12346
- Shifman, L. (2013). Memes in a digital world: Reconciling with a conceptual troublemaker. Journal of Computer-Mediated Communication, 18(3), 362–377. https://doi.org/https://doi.org/10.1111/jcc4.12013
- Sigelman, C. K. (2012). Rich man, poor man: Developmental differences in attributions and perceptions. Journal of Experimental Child Psychology, 113(3), 415–429. https://doi.org/https://doi.org/10.1016/j.jecp.2012.06.011
- Steinke, J., Applegate, B., Penny, J. R., & Merlino, S. (2021). Effects of diverse STEM role model videos in promoting adolescents’ identification. International Journal of Science and Mathematics Education, 1–22. https://doi.org/https://doi.org/10.1007/s10763-021-10168-z
- Steinke, J., Lapinski, M., Zietsman-Thomas, A., Nwulu, P., Crocker, N., Williams, Y., … Kuchibhotla, S. (2006). Middle school-aged children's attitudes toward women in science, engineering, and technology and the effects of media literacy training. Journal of Women and Minorities in Science and Engineering, 12(4), 295–323. https://doi.org/https://doi.org/10.1615/JWomenMinorScienEng.v12.i4.30
- Takach, E., & Yacoubian, S. (2020). Science teachers’ and their students’ perceptions of science and scientists. International Journal of Education in Mathematics, Science and Technology, 8(1), 65–75. https://doi.org/https://doi.org/10.46328/ijemst.v8i1.806
- Tintori, A. (2017). The most common stereotypes about science and scientists: What scholars know. In A. Tintori, & R. Palomba (Eds.), Turn on the light on science (pp. 1–18). Ubiquity Press. https://doi.org/https://doi.org/10.5334/bba.b.
- Walline, J. J., Sinnott, L., Johnson, E. D., Ticak, A., Jones, S. L., & Jones, L. A. (2008). What do kids think about kids in eyeglasses? Ophthalmic and Physiological Optics, 28(3), 218–224. https://doi.org/https://doi.org/10.1111/j.1475-1313.2008.00559.x
- Wojciszke, B., Bazinska, R., & Jaworski, M. (1998). On the dominance of moral categories in impression formation. Personality and Social Psychology Bulletin, 24(12), 1251–1263. https://doi.org/https://doi.org/10.1177/01461672982412001
- Word, C. O., Zanna, M. P. (1974). The nonverbal mediation of self-fulfilling prophecies in interracial interaction. Journal of experimental social psychology, 10(2), 109–120. https://doi.org/https://doi.org/10.1016/0022-1031(74)90059-6
- Zahry, N. R., & Besley, J. C. (2019). Warmth portrayals to recruit students into science majors. Visual Communication, 0(0), 1–31. https://doi.org/https://doi.org/10.1177/1470357219871696
- Zahry, N. R., & Besley, J. C. (2021). Can scientists communicate interpersonal warmth? Testing warmth messages in the context of science communication. Journal of Applied Communication Research, 0(0), 1–19. https://doi.org/https://doi.org/10.1080/00909882.2021.1880017