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Digitalisation is rapidly transforming our everyday family and work lives. My recent and ongoing research examines the implications of digitalization for family and work changes and inequalities. This line of research is funded by the Economic and Social Research Council (UK) and the Social Sciences and Humanities Research Council (Canada). If you have difficulty accessing any of the full texts, please get in touch with me.
Hu, Y., Denier, N., Ding, L., Tarafdar, M., Konnikov, A., Hughes, K.D., Hu, S., Knowles, B., Shi, E., Al-Ani, J, A., Rets, I., Kong, L., Yu, D., Dai, H. & Jiang, B. (2024, in press). Language in job advertisements and the reproduction of labor force gender and racial segregation. PNAS Nexus.
Ding, Lei, Hu, Y., Denier, N., Shi, E., Zhang, J., Hu, Q., Hughes, K. D., Kong, L. & Jiang, B. (2024). Probing social bias in labor market text generation by ChatGPT: A masked language model approach. 38th Conference on Neural Information Processing Systems (NeurIPS 2024).
Hu, Y. & Qian, Y. (2024). Gendering digital labor: Work and family digital communication across 29 countries. Community, Work & Family. [Open access]
Qian, Y. & Hu, Y. (2024). The digitalization of family life: A multilevel conceptual framework. Journal of Marriage and Family. [Open access]
Qian, Y. & Hu, Y. (2024). How couples meet and assortative mating in Canada. Journal of Marriage and Family. [Open access]
Denier, N., Deutsch, R., Hu, Y., & Qian, Y. (2024). Considering families in Canada’s digital transformation [Issue brief]. The Vanier Institute of the Family. [Open access]
Tarafdar, M., Rets, I. & Hu, Y. (2023). Can ICT enhance workplace inclusion? ICT-enabled workplace practice and a new agenda for inclusion research in information systems. Journal of Strategic Information Systems. [Open access]
Cabalquinto, E. & Hu, Y. (2023). The transnationalisation of intimacy: Family relations and changes in an age of global mobility and digital media. In Waters, J. & Yeoh, B. (Eds.) Handbook of Migration and the Family. Cheltenham: Edward Elgar.
Hu, Y., Tarafdar, M., Al-Ani, J. A., Rets, I., Hu, S., Denier, D., Hughes, K. D., Konnikov, A., & Ding, L. (2022). Gendered STEM workforce in the United Kingdom: The role of gender bias in job advertising. BIAS project evidence submission to the ‘Diversity in STEM’ inquiry, Science and Technology Committee, House of Commons, UK Parliament. 28 pp.
Hu, S., Al-Ani, J.A., Hughes, K.D., Denier, N., Konnikov, A., Ding, L., Xie, J., Hu, Y., Tarafdar, M., Jiang, B., Kong, L., Dai, H. (2022). Balancing gender bias in job advertisements with text-level bias mitigation. Frontiers in Big Data, 5: 1–10. [Open access]
Konnikov, A., Denier, N., Hu, Y.*, Hughes, K.D., Alshehabi Al-Ani, J., Ding, L., Rets, I. and Tarafdar, M., (2024 [2022]). BIAS Word inventory for work and employment diversity,(in) equality and inclusivity (Version 2.0). SocArXiv.
Konnikov, A., Rets, I., Hughes, K. D., Al-Ani, J.A., Denier, N., Ding, L., Hu, S., Hu, Y., Jiang, B., Kong, L. Tarafdar, M., & Yu, D. (2022). Responsible AI for labour market equality. In Haintrais, L. (Ed.) How to Manage International Multidisciplinary Research Projects. Cheltenham: Edward Elgar.
Hu, S., Al-Ani, J.A., Hughes, K.D., Denier, N., Konnikov, A., Ding, L., Xie, J., Hu, Y., Tarafdar, M., Jiang, B., Kong, L., Dai, H. (2022). Balancing gender bias in job advertisements with text-level bias mitigation. Frontiers in Big Data, 5: 1–10. [Open access]
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