{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,26]],"date-time":"2025-12-26T07:11:17Z","timestamp":1766733077457,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer Nature Switzerland","isbn-type":[{"type":"print","value":"9783031722400"},{"type":"electronic","value":"9783031722417"}],"license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024]]},"DOI":"10.1007\/978-3-031-72241-7_24","type":"book-chapter","created":{"date-parts":[[2024,9,13]],"date-time":"2024-09-13T10:03:10Z","timestamp":1726221790000},"page":"246-256","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":2,"title":["Assessing the\u00a0Sociocultural Alignment of\u00a0Large Language Models: An Empirical Study of\u00a0Chinese-Speaking Populations"],"prefix":"10.1007","author":[{"given":"Dana","family":"Warmsley","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jiejun","family":"Xu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samuel D.","family":"Johnson","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2024,9,14]]},"reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"AlKhamissi, B., ElNokrashy, M., AlKhamissi, M., Diab, M.: Investigating cultural alignment of large language models. arXiv preprint arXiv:2402.13231 (2024)","DOI":"10.18653\/v1\/2024.acl-long.671"},{"key":"24_CR2","unstructured":"Haerpfer, C., Inglehart, R., Moreno, A., Welzel, C., et al.: World values survey: round seven\u2013country-pooled datafile. JD Systems Institute, WVSA Secretariat, Madrid, Spain, Vienna, Austria (2020)"},{"key":"24_CR3","unstructured":"Ziems, C., Held, W., Shaikh, O., Chen, J., Zhang, Z., Yang, D.: Can Large Language Models Transform Computational Social Science? Computational Linguistics. MIT Press, Cambridge (2020)"},{"key":"24_CR4","unstructured":"Kova\u010d, G., Sawayama, M., Portelas, R., Colas, C., Dominey, P.F., Oudeyer, P.-Y.: Large language models as superpositions of cultural perspectives. arXiv preprint arXiv:2307.07870 (2023)"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Buttrick, N.: Studying large language models as compression algorithms for human culture. Trends Cogn. Sci. (2024)","DOI":"10.1016\/j.tics.2024.01.001"},{"key":"24_CR6","doi-asserted-by":"crossref","unstructured":"Arora, A., Kaffee, L.-A., Augenstein, I.: Probing pre-trained language models for cross-cultural differences in values. arXiv preprint arXiv:2203.13722 (2022)","DOI":"10.18653\/v1\/2023.c3nlp-1.12"},{"key":"24_CR7","doi-asserted-by":"crossref","unstructured":"Ramezani, A., Xu, Y.: Knowledge of cultural moral norms in large language models. arXiv preprint arXiv:2306.01857 (2023)","DOI":"10.18653\/v1\/2023.acl-long.26"},{"key":"24_CR8","doi-asserted-by":"crossref","unstructured":"Naous, T., Ryan, M.J., Xu, W.: Having beer after prayer? Measuring cultural bias in large language models. arXiv (2023)","DOI":"10.18653\/v1\/2024.acl-long.862"},{"key":"24_CR9","unstructured":"Leong, W.Q., Ngui, J.G., Susanto, Y., Rengarajan, H., Sarveswaran, K., Tjhi, W.C.: BHASA: a holistic southeast Asian linguistic and cultural evaluation suite for large language models. arXiv preprint arXiv:2309.06085 (2023)"},{"key":"24_CR10","doi-asserted-by":"crossref","unstructured":"Argyle, L.P., Busby, E.C., Fulda, N., Gubler, J.R., Rytting, C., Wingate, D.: Out of one, many: using language models to simulate human samples. Polit. Anal. (2023)","DOI":"10.1017\/pan.2023.2"},{"key":"24_CR11","doi-asserted-by":"crossref","unstructured":"Zhou, J., et al.: Rethinking machine ethics\u2013can LLMs perform moral reasoning through the lens of moral theories? arXiv preprint arXiv:2308.15399 (2023)","DOI":"10.18653\/v1\/2024.findings-naacl.144"},{"key":"24_CR12","doi-asserted-by":"crossref","unstructured":"Simmons, G.: Moral mimicry: large language models produce moral rationalizations tailored to political identity. arXiv preprint arXiv:2209.12106 (2022)","DOI":"10.18653\/v1\/2023.acl-srw.40"}],"container-title":["Lecture Notes in Computer Science","Social, Cultural, and Behavioral Modeling"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-72241-7_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,28]],"date-time":"2024-11-28T02:47:42Z","timestamp":1732762062000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-72241-7_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"ISBN":["9783031722400","9783031722417"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-72241-7_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2024]]},"assertion":[{"value":"14 September 2024","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"The authors have no competing interests to declare that are relevant to the content of this article.","order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Disclosure of Interests"}},{"value":"SBP-BRiMS","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Social Computing, Behavioral-Cultural Modeling and Prediction and Behavior Representation in Modeling and Simulation","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Pittsburgh, PA","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"USA","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2024","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"17 September 2024","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"19 September 2024","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"sbp2024","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}