Abstract
Woman boss series and woman boss posts on social media that portray women in stereotypically male professions have attracted scholarly attention. The positive effects of this content on adolescents over time are unclear. This study helped fill this gap by examining the within-person reciprocal relations between exposure to woman boss series and posts and adolescents’ beliefs about the male vs. female division of professional tasks according to traditional gender stereotypes (which was labeled as professional sexism). We examined the mediating role of the perceived utility of such content and the moderating roles of hypergender identity and knowing women in counter-stereotypical professions offline. A total of 1,286 late adolescents (Mage = 18.33, SD = 0.64) participated in a three-wave longitudinal study with a four-month time interval. The findings indicated positive but inconsistent within-person associations between professional sexism and the perceived utility of woman boss series. The results supported the moderating role of knowing women in atypical professions; that is, the perceived utility of woman boss posts on social media in Wave 2 related to professional sexism in Wave 3. The direction of the association changed when considering the extent to which adolescents knew women in atypical professions. Implications for how parents, teachers, and academic school counselors may talk with adolescents about women who are portrayed in atypical occupations in TV series and on social media are discussed.
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References
Agut, S., Martín-Hernández, P., Soto, G., & Arahuete, L. (2022). Understanding the relationships among self-ascribed gender traits, social desirability, and ambivalent sexism. Current Psychology, 1–14. https://doi.org/10.1007/s12144-022-03650-6
Aladé, F., Lauricella, A., Kumar, Y., & Wartella, E. (2021). Who’s modeling STEM for kids? A character analysis of children’s STEM-focused television in the US. Journal of Children and Media, 15(3), 338–357. https://doi.org/10.1080/17482798.2020.1810087
Alkhammash, R. (2019). ‘It is time to operate like a woman’: A corpus based study of representation of women in STEM fields in social media. International Journal of English Linguistics, 9(5), 217. https://doi.org/10.5539/ijel.v9n5p217
Amarasekara, I., & Grant, W. J. (2019). Exploring the YouTube science communication gender gap: A sentiment analysis. Public Understanding of Science, 28(1), 68–84. https://doi.org/10.1177/0963662518786654
American Psychological Association. (2020). Publication manual of the American Psychological Association (7th ed.). https://doi.org/10.1037/0000165-000
Ardies, J., Dierickx, E., & Van Strydonck, C. (2021). My daughter a STEM-career? 'Rather not' or 'No problem'? A case study. European Journal of STEM Education, 6(1), 14. https://doi.org/10.20897/ejsteme/11355
Bem, S. L. (1974). The measurement of psychological androgyny. Journal of Consulting and Clinical Psychology, 42(2), 155–162. https://doi.org/10.1037/h0036215
Bem, S. L. (1981a). Gender schema theory: A cognitive account of sex ty**. Psychological Review, 88(4), 354–364. https://doi.org/10.1037/0033-295X.88.4.354
Bem, S. L. (1981b). Bem Sex Role Inventory: Professional manual. Consulting Psychologists Press.
Bem, S. L. (1983). Gender schema theory and its implications for child development: Raising gender-aschematic children in a gender-schematic society. Signs: Journal of Women in Culture and Society, 8(4), 598–616. https://doi.org/10.1086/493998
Beyens, I., Pouwels, J. L., van Driel, I. I., Keijsers, L., & Valkenburg, P. M. (2020). The effect of social media on well-being differs from adolescent to adolescent. Scientific Reports, 10(1), 10763. https://doi.org/10.1038/s41598-020-67727-7
Bieri Buschor, C., Kappler, C., Keck Frei, A., & Berweger, S. (2014). I want to be a scientist/a teacher: Students’ perceptions of career decision-making in gender-typed, non-traditional areas of work. Gender and Education, 26(7), 743–758. https://doi.org/10.1080/09540253.2014.970615
Bond, B. J. (2016). Fairy godmothers > robots: The influence of televised gender stereotypes and counter-stereotypes on girls’ perceptions of STEM. Bulletin of Science, Technology & Society, 36(2), 91–97. https://doi.org/10.1177/0270467616655951
Bossen, C. B., & Kottasz, R. (2020). Uses and gratifications sought by pre-adolescent and adolescent TikTok consumers. Young Consumers, 21(4), 463–478. https://doi.org/10.1108/YC-07-2020-1186
Brown, D., Lauricella, S., Douai, A., & Zaidi, A. (2012). Consuming television crime drama: A uses and gratifications approach. American Communication Journal, 14(1), 47–60.
Buschor, C. B., Berweger, S., Frei, A. K., & Kappler, C. (2014). Majoring in STEM - What accounts for women’s career decision making? A mixed methods study. Journal of Educational Research, 107(3), 167–176. https://doi.org/10.1080/00220671.2013.788989
Calzo, J. P., & Ward, L. M. (2009). Media exposure and viewers’ attitudes toward homosexuality: Evidence for mainstreaming or resonance? Journal of Broadcasting & Electronic Media, 53(2), 280–299. https://doi.org/10.1080/08838150902908049
Canessa-Pollard, V., Reby, D., Banerjee, R., Oakhill, J., & Garnham, A. (2022). The development of explicit occupational gender stereotypes in children: Comparing perceived gender ratios and competence beliefs. Journal of Vocational Behavior, 134, 103703. https://doi.org/10.1016/j.jvb.2022.103703
Connell, R. W. (2005). Masculinities (2nd ed.). University of California Press.
Cooke, A., Russell-Bennett, R., Wang, D., & Whyte, S. (2022). Branding beyond the gender binary. Psychology & Marketing, 39(8), 1621–1632. https://doi.org/10.1002/mar.21675
Coyne, S., Shawcroft, J., Ruh Linder, J., Graver, H., Siufanua, M., & Holmgren, H. G. (2022). Making men of steel: Superhero exposure and the development of hegemonic masculinity in children. Sex Roles, 86(11–12), 634–647. https://doi.org/10.1007/s11199-022-01293-2
Dasgupta, N., & Asgari, S. (2004). Seeing is believing: Exposure to counterstereotypic women leaders and its effect on the malleability of automatic gender stereoty**. Journal of Experimental Social Psychology, 40(5), 642–658. https://doi.org/10.1016/j.jesp.2004.02.003
Deloitte. (2017, December 17). Which, if any, is your preferred device for streaming films or series? [Graph]. Statista. https://www.statista.com/statistics/874444/preferred-device-for-streaming-films-or-series-in-belgium/
De Marez, L. Sevenhant, R., Denecker, F., & Geroges, A. Wuyts, G., & Schuurman, D. (2022). Imec. Digimeter 2022: Digitale trends in Vlaanderen. IMEC. https://www.imec.be/sites/default/files/2023-03/imec_digimeter_2022.pdf
Desilver, D. (2015, June 23). The fading of the teen summer job. Pew Research Center. https://www.pewresearch.org/fact-tank/2015/06/23/the-fading-of-the-teen-summer-job/
DeTardo-Bora, K. A. (2009). Criminal justice “Hollywood Style”: How women in criminal justice professions are depicted in prime-time crime dramas. Women and Criminal Justice, 19(2), 153–168. https://doi.org/10.1080/08974450902791336
Eisenstock, B. (1984). Sex-role differences in children’s identification with counterstereotypical televised portrayals. Sex Roles, 10(5), 417–430. https://doi.org/10.1007/BF00287558
Epstein, M., & Ward, L. M. (2011). Exploring parent-adolescent communication about gender: Results from adolescent and emerging adult samples. Sex Roles, 65, 108–118. https://doi.org/10.1007/s11199-011-9975-7
Erickson, E. H. (1968). Identity, youth and crisis. Norton.
European Commission. (2017). Commission steps up efforts to tackle the gender pay gap. https://ec.europa.eu/newsroom/just/items/607452
Fontayne, P., Sarrazin, P., & Famose, J. P. (2000). The Bem Sex-Role inventory: Validation of a short version for French teenagers. European Review of Applied Psychology/Revue Européenne de Psychologie Appliquée, 50(4), 405–416. https://hal.science/hal-00387229/
Galambos, N. L., Petersen, A. C., Richards, M., & Gitelson, I. B. (1985). The Attitudes toward Women Scale for Adolescents (AWSA): A study of reliability and validity. Sex Roles, 13(5–6), 343–356. https://doi.org/10.1007/BF00288090
Garland, T. S., Blackburn, A. G., Browne, J. A., & Blanfort, C. D. (2018). Prime-time representations of female federal agents in television dramas. Feminist Criminology, 13(5), 609–631. https://doi.org/10.1177/1557085117693089
Geusens, F., & Beullens, K. (2016). The association between social networking sites and alcohol abuse among Belgian adolescents. Journal of Media Psychology, 30(4), 207–216. https://doi.org/10.1027/1864-1105/a000196
GWI. (2020). In-home media consumption due to the coronavirus outbreak among internet users worldwide as of March 2020, by generation [Graph]. Statista. https://www.statista.com/statistics/1106563/home-media-consumption-coronavirus-worldwide-by-generation/
Hamaker, E. L., Kuiper, R. M., & Grasman, R. P. (2015). A critique of the cross-lagged panel model. Psychological Methods, 20(1), 102–116. https://doi.org/10.1037/a0038889
He, G., & Zhou, M. (2018). Gender difference in early occupational attainment: The roles of study field, gender norms, and gender attitudes. Chinese Sociological Review, 50(3), 339–366. https://doi.org/10.1080/21620555.2018.1430509
Heizmann, H., & Liu, H. (2022). “Bloody Wonder Woman!”: Identity performances of elite women entrepreneurs on Instagram. Human Relations, 75(3), 411–440. https://doi.org/10.1177/0018726720979034
Hoffman, R. M., & Borders, L. D. (2001). Twenty-five years after the Bem Sex-Role Inventory: A reassessment and new issues regarding classification variability. Measurement and Evaluation in Counseling and Development, 34(1), 39–55. https://doi.org/10.1080/07481756.2001.12069021
Hosie, R. (2020, October 2). A science student recorded a work call to show how often women in STEM are interrupted by men, and the TikTok went viral. Insider. https://www.insider.com/video-woman-in-stem-posts-tiktok-showing-interruptions-by-men-2020-10
Jablin, F. M. (2001). Organizational entry, assimilation, and disengagement/exit. In F.M. Jablin, L.L. Putnam, K.H. Roberts, & L.W. Porter (Eds.), The new handbook of organizational communication: Advances in theory, research, and methods (pp. 732–818). Sage. https://doi.org/10.4135/9781412986243
Jacobs, L., Claes, E., & Hooghe, M. (2015). The occupational roles of women and ethnic minorities on primetime television in Belgium: An analysis of occupational status measurements. Mass Communication and Society, 18(4), 498–521. https://doi.org/10.1080/15205436.2014.1001908
Jahn, J. L. S., & Myers, K. K. (2014). Vocational anticipatory socialization of adolescents: Messages, sources, and frameworks that influence interest in STEM careers. Journal of Applied Communication Research, 42(1), 85–106. https://doi.org/10.1080/00909882.2013.874568
Kerr, H., Booth, R., & Jackson, K. (2020). Exploring the characteristics and behaviors of nurses who have attained microcelebrity status on Instagram: Content analysis. Journal of Medical Internet Research, 22(5), e16540. https://doi.org/10.2196/16540
Kline, R. (2013). Exploratory and confirmatory factor analysis. In Applied quantitative analysis in education and the social sciences (pp. 183–217). Routledge.
Lavigne, C. (2009). Death wore black chiffon: Sex and gender in CSI. Canadian Review of American Studies, 39(4), 383–398. https://doi.org/10.3138/CRAS.39.4.383
Liben, L. S., & Signorella, M. L. (1993). Gender-schematic processing in children: The role of initial interpretations of stimuli. Developmental Psychology, 29(1), 141–149. https://doi.org/10.1037/0012-1649.29.1.141
Levine, K. J., & Aley, M. (2022). Introducing the sixth source of vocational anticipatory socialization: Using the internet to search for career information. Journal of Career Development, 49(2), 443–456. https://doi.org/10.1177/0894845320940798
Levine, K. J., & Hoffner, C. A. (2006). Adolescents’ conceptions of work: What is learned from different sources during anticipatory socialization? Journal of Adolescent Research, 21(6), 647–669. https://doi.org/10.1177/0743558406293963
Long, M., Steinke, J., Applegate, B., Knight Lapinski, M., Johnson, M. J., & Ghosh, S. (2010). Portrayals of male and female scientists in television programs popular among middle school-age children. Science Communication, 32(3), 356–382. https://doi.org/10.1177/1075547009357779
Lüdtke, O., & Robitzsch, A. (2021). A critique of the random intercept cross-lagged panel model. PsyAr**v. https://doi.org/10.31234/osf.io/6f85c
Maes, C., & Vandenbosch, L. (2022). “Consent Is Sexy”: Exploring the portrayal of prosocial sexuality messages in youth-oriented series. Journal of Children and Media, 16(3), 332–351. https://doi.org/10.1080/17482798.2021.1982741
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 aspirations. Frontiers in Education, 4(60), 1–11. https://doi.org/10.3389/feduc.2019.00060
Miller, M. M., & Reeves, B. (1976). Dramatic TV content and children’s sex-role stereotypes. Journal of Broadcasting, 20(1), 35–50. https://doi.org/10.1080/08838157609386373
Ministerie van onderwijs en vorming (2021). Hoger onderwijs in cijfers. https://www.vlaanderen.be/publicaties/hoger-onderwijs-in-cijfers
Morgan, M. (1982). Television and adolescents’ sex role stereotypes: A longitudinal study. Journal of Personality and Social Psychology, 43(5), 947–955. https://doi.org/10.1037/0022-3514.43.5.947
mpfs. (2021, November 30). Which platforms do you use to watch films or TV shows online daily or several times a week? [Graph]. Statista. https://www.statista.com/statistics/818616/film-tv-show-streaming-platform-usage-adolescents-germany/
Mulder, J. D., & Hamaker, E. L. (2021). Three extensions of the random intercept cross-lagged panel model. Structural Equation Modeling, 28(4), 638–648. https://doi.org/10.1080/10705511.2020.1784738
Myers, K. K., Jahn, J. L. S., Gailliard, B. M., & Stoltzfus, K. (2011). Vocational anticipatory socialization (VAS): A communicative model of adolescents’ interests in STEM. Management Communication Quarterly, 25(1), 87–120. https://doi.org/10.1177/0893318910377068
O’Bryant, S. L., & Corder-Bolz, C. R. (1978). The effects of television on children’s stereoty** of women’s work roles. Journal of Vocational Behavior, 12(2), 233–244. https://doi.org/10.1016/0001-8791(78)90038-6
Orben, A., Dienlin, T., & Przybylski, A. K. (2019). Social media’s enduring effect on adolescent life satisfaction. Proceedings of the National Academy of Sciences, 116(21), 10226–10228. https://doi.org/10.1073/pnas.1902058116
Orth, U., Clark, D. A., Donnellan, M. B., & Robins, R. W. (2021). Testing prospective effects in longitudinal research: Comparing seven competing cross-lagged models. Journal of Personality and Social Psychology, 120(4), 1013–1034. https://doi.org/10.1037/pspp0000358
Papacharissi, Z., & Mendelson, A. L. (2007). An exploratory study of reality appeal: Uses and gratifications of reality TV shows. Journal of Broadcasting & Electronic Media, 51(2), 355–370. https://doi.org/10.1080/08838150701307152
Peng, T. K. (2006). Construct validation of the Bem Sex Role Inventory in Taiwan. Sex Roles, 55(11), 843–851. https://doi.org/10.1007/s11199-006-9136-6
Perloff, R. M. (2014). Social media effects on young women’s body image concerns: Theoretical perspectives and an agenda for research. Sex Roles, 71(11–12), 363–377. https://doi.org/10.1007/s11199-014-0384-6
Peter, J., & Valkenburg, P. M. (2010). Processes underlying the effects of adolescents’ use of sexually explicit internet material: The role of perceived realism. Communication Research, 37(3), 375–399. https://doi.org/10.1177/0093650210362464
Pittman, M., & Sheehan, K. (2015). Sprinting a media marathon: Uses and gratifications of binge-watching television through Netflix. First Monday, 20. https://doi.org/10.5210/fm.v20i10.6138
Riegle-Crumb, C., Moore, C., & Ramos-Wada, A. (2011). Who wants to have a career in science or math? exploring adolescents’ future aspirations by gender and race/ethnicity. Science Education, 95(3), 458–476. https://doi.org/10.1002/SCE.20431
Rousseau, A., Rodgers, R. F., & Eggermont, S. (2019). A short-term longitudinal exploration of the impact of TV exposure on objectifying attitudes toward women in early adolescent boys. Sex Roles, 80(3), 186–199. https://doi.org/10.1007/s11199-018-0925-5
Ruble, D. N., Martin, C. L., & Berenbaum, S. A. (2006). Gender development. In N. Eisenberg, W. Damon, & R. M. Lerner (Eds.), Handbook of child psychology: Social, emotional, and personality development (pp. 858–932). John Wiley & Sons, Inc. https://doi.org/10.1002/9780470147658.chpsy0314
Sáinz, M., Fabregues, S., Rodo-de-Zarate, M., Martínez-Cantos, J. L., Arroyo, L., & Romano, M. J. (2020). Gendered motivations to pursue male-dominated STEM careers among Spanish young people: A qualitative study. Journal of Career Development, 47(4), 408–423. https://doi.org/10.1177/0894845318801101
Schein, V. E. (2001). A global look at psychological barriers to women’s progress in management. Journal of Social Issues, 57, 675–688. https://doi.org/10.1111/0022-4537.00235
Schreurs, L., & Vandenbosch, L. (2022a). Different interactions with appearance-focused social media content and adolescents’ body dissatisfaction: A within-person perspective. Computers in Human Behavior, 135, 107364. https://doi.org/10.1016/j.chb.2022.107364
Schreurs, L., & Vandenbosch, L. (2022b). The development and validation of measurement instruments to address interactions with positive social media content. Media Psychology, 25(2), 262–289. https://doi.org/10.1080/15213269.2021.1925561
Signorielli, N., & Bacue, A. (1999). Recognition and respect: A content analysis of prime-time television characters across three decades. Sex Roles, 40(7), 40(7), 527–544. https://doi.org/10.1023/A:1018883912900
Steinke, J., Lapinski, M. K., Long, M., Van Der Maas, C., Ryan, L., & Applegate, B. (2009). Seeing oneself as a scientist: Media influences and adolescent girls’ science career-possible selves. Journal of Women and Minorities in Science and Engineering, 15(4), 279–301. https://doi.org/10.1615/JWomenMinorScienEng.v15.i4.10
te Walvaart, M., Van den Bulck, H., & Dhoest, A. (2018). Engaging the audience in a digitised television production process: A “hierarchy of influences” approach. Journalism Practice, 12(7), 901–917. https://doi.org/10.1080/17512786.2017.1343093
U.S. Bureau of Labor Statistics (2022, January). Labor force statistics from the current population survey. U.S. Bureau of Labor Statistics. https://www.bls.gov/cps/cpsaat11.htm
Valkenburg, P. M., & Peter, J. (2013). The differential susceptibility to media effects model. Journal of Communication, 63(2), 221–243. https://doi.org/10.1111/jcom.12024
Vandenbosch, L. (2015). Antecedents of adolescents’ exposure to different types of sexually explicit Internet material: A longitudinal study. Computers in Human Behavior, 50, 439–448. https://doi.org/10.1016/j.chb.2015.04.032
Vandenbosch, L., van Oosten, J. M. F., & Peter, J. (2018). Sexually explicit internet material and adolescents’ sexual performance orientation: The mediating roles of enjoyment and perceived utility. Media Psychology, 21(1), 50–74. https://doi.org/10.1080/15213269.2017.1361842
Vandendriessche, K., Steenberghs, E., Matheve, A., Georges, A., & De Marez, L. (2021). digimeter 2020: Digitale Trends in Vlaanderen. IMEC. https://www.imec.be/nl/vlaamse-innovatiemotor/kennisuitwisseling/techmeters/digimeter
van der Schuur, W. A., Baumgartner, S. E., & Sumter, S. R. (2019). Social media use, social media stress and sleep: Examining cross-sectional and longitudinal relationships in adolescents. Kind En Adolescent, 40, 157–177. https://doi.org/10.1080/10410236.2017.1422101
van Oosten, J. M., Vandenbosch, L., & Peter, J. (2017). Gender roles on social networking sites: Investigating reciprocal relationships between Dutch adolescents’ hypermasculinity and hyperfemininity and sexy online self-presentations. Journal of Children and Media, 11(2), 147–166. https://doi.org/10.1080/17482798.2017.1304970
Vranken, S., Kurten, S., & Beullens, K. (2022a). The temporality and accessibility of message types (TAMT) model: Examining social media message types and the associations between exposure to alcohol and binge drinking. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 16(5), 4. https://doi.org/10.5817/CP2022-5-4
Vranken, I., Brimmel, N., Vandenbosch, L., & Trekels, J. (2022b). Television, news media, social media and adolescents’ and young adults’ violations of the COVID-19 lockdown measures: A prototype willingness model. Telematics and Informatics, 70, 101817. https://doi.org/10.1016/j.tele.2022.101817
Vranken, I., & Vandenbosch, L. (2022). Exploring late adolescents’ experiences with career-related messages on entertainment TV and in social media in Belgium: A focus group study. Journal of Adolescent Research, 07435584221140611. https://doi.org/10.1177/07435584221140611
Vondracek, F. W., & Porfeli, E. J. (2006). The world of work and careers. In G. R. Adams & M. D. Berzonsky (Eds.), Blackwell handbook of adolescence (pp. 109–128). Blackwell.
Walter, N., Murphy, S. T., & Rosenthal, E. L. (2018). Narrative persuasion in a new media environment: The impact of binge-watching and second-screening. Communication Research Reports, 35(5), 402–412. https://doi.org/10.1080/08824096.2018.1525348
Warren, S., Goodman, M., Horton, R., & Bynum, N. (2016). Stemming the tide: The presentation of women scientists in CSI. International Journal of Gender, Science and Technology, 8(3), 360–381.
West, S. G., Taylor, A. B., & Wu, W. (2012). Model fit and model selection in structural equation modeling. Handbook of Structural Equation Modeling, 1, 209–231. Guilford Press.
Wille, E., Gaspard, H., Trautwein, U., Oschatz, K., Scheiter, K., & Nagengast, B. (2018). Gender stereotypes in a children’s television program: Effects on girls’ and boys’ stereotype endorsement, math performance, motivational dispositions, and attitudes. Frontiers in Psychology, 9, 2435. https://doi.org/10.3389/fpsyg.2018.02435
Woolston, C. (2015). Scientists share inspiration on Twitter with #IAmAScientistBecause and #BeyondMarieCurie. Nature, 520(7547), 267–267. https://doi.org/10.1038/520267f
Wroblewski, R., & Huston, A. C. (1987). Televised occupational stereotypes and their effects on early adolescents: Are they changing? The Journal of Early Adolescence, 7(3), 283–297. https://doi.org/10.1177/0272431687073005
Acknowledgements
The authors would like to thank Sofie Vranken, Lara Schreurs, Chelly Maes, Femke Konings, Brent Swinnen, Lien Klewais, and Robyn Janssens for their help during the data collection. We would also like to thank the school principals and school staff who agreed to participate and who arranged the practicalities for the data collection during school hours.
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This work was supported by the Research Foundation Flanders (FWO-Vlaanderen) under Grant 11G0220N.
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Vranken, I., Devos, S. & Vandenbosch, L. Counter-Stereotypical Career-Related Media Content and Adolescents’ Professional Sexism: A Longitudinal Study of Woman Boss Television Series and Social Media Posts. Sex Roles 89, 288–310 (2023). https://doi.org/10.1007/s11199-023-01391-9
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DOI: https://doi.org/10.1007/s11199-023-01391-9