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The word embedding association test (WEAT) is an important method for measuring linguistic biases against social groups such as ethnic minorities in large text corpora. It does so by comparing the semantic relatedness of words prototypical of the gro
Externí odkaz:
http://arxiv.org/abs/2201.08451
Autor:
Guilbeault, Douglas1 (AUTHOR) douglas.guilbeault@haas.berkeley.edu, van Loon, Austin2 (AUTHOR) avanloon@stanford.edu, Lix, Katharina3 (AUTHOR) klix@stanford.edu, Goldberg, Amir4 (AUTHOR) amirgo@stanford.edu, Srivastava, Sameer B.1 (AUTHOR) sameersriv@berkeley.edu
Publikováno v:
Management Science. Oct2024, Vol. 70 Issue 10, p6669-6684. 16p.
Autor:
van Loon, Austin
Publikováno v:
In Social Science Research November 2022 108
Autor:
Salganik, Matthew J., Lundberg, Ian, Kindel, Alexander T., Ahearn, Caitlin E., Al-Ghoneim, Khaled, Almaatouq, Abdullah, Altschul, Drew M., Brand, Jennie E., Carnegie, Nicole Bohme, Compton, Ryan James, Datta, Debanjan, Davidson, Thomas, Filippova, Anna, Gilroy, Connor, Goode, Brian J., Jahani, Eaman, Kashyap, Ridhi, Kirchner, Antje, McKay, Stephen, Morgan, Allison C., Pentland, Alex, Polimis, Kivan, Raes, Louis, Rigobon, Daniel E., Roberts, Claudia V., Stanescu, Diana M., Suhara, Yoshihiko, Usmania, Adaner, Wang, Erik H., Adem, Muna, Alhajri, Abdulla, AlShebli, Bedoor, Amin, Redwane, Amos, Ryan B., Argyle, Lisa P., Baer-Bositis, Livia, Büchi, Moritz, Chung, Bo-Ryehn, Eggert, William, Faletto, Gregory, Fan, Zhilin, Freese, Jeremy, Gadgil, Tejomay, Gagné, Josh, Gao, Yue, Halpern-Manners, Andrew, Hashim, Sonia P., Hausen, Sonia, He, Guanhua, Higuera, Kimberly, Hogan, Bernie, Horwitz, Ilana M., Hummel, Lisa M., Jain, Naman, Jin, Kun, Jurgens, David, Kaminski, Patrick, Karapetyan, Areg, Kim, E. H., Leizman, Ben, Liu, Naijia, Möser, Malte, Mack, Andrew E., Mahajan, Mayank, Mandell, Noah, Marahrens, Helge, Mercado-Garcia, Diana, Mocz, Viola, Mueller-Gastell, Katariina, Musse, Ahmed, Niu, Qiankun, Nowak, William, Omidvar, Hamidreza, Or, Andrew, Ouyang, Karen, Pinto, Katy M., Porter, Ethan, Porter, Kristin E., Qian, Crystal, Rauf, Tamkinat, Sargsyan, Anahit, Schaffner, Thomas, Schnabel, Landon, Schonfeld, Bryan, Sender, Ben, Tang, Jonathan D., Tsurkov, Emma, van Loon, Austin, Varol, Onur, Wang, Xiafei, Wang, Zhi, Wang, Julia, Wang, Flora, Weissman, Samantha, Whitaker, Kirstie, Wolters, Maria K., Woon, Wei Lee, Wu, James, Wu, Catherine, Yang, Kengran, Yin, Jingwen, Zhao, Bingyu, Zhu, Chenyun, Brooks-Gunn, Jeanne, Engelhardt, Barbara E., Hardt, Moritz, Knox, Dean, Levy, Karen, Narayanan, Arvind, Stewart, Brandon M., Watts, Duncan J., McLanahan, Sara
Publikováno v:
Proceedings of the National Academy of Sciences of the United States of America, 2020 Apr . 117(15), 8398-8403.
Externí odkaz:
https://www.jstor.org/stable/26930891
Akademický článek
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Autor:
Grossmann, Igor, Rotella, Amanda, Hutcherson, Cendri A., Sharpinskyi, Konstantyn, Varnum, Michael E. W., Achter, Sebastian, Dhami, Mandeep K., Guo, Xinqi Evie, Kara-Yakoubian, Mane, Mandel, David R., Raes, Louis, Tay, Louis, Vie, Aymeric, Wagner, Lisa, Adamkovic, Matus, Arami, Arash, Arriaga, Patrícia, Bandara, Kasun, Baník, Gabriel, Bartoš, František, Baskin, Ernest, Bergmeir, Christoph, Białek, Michał, Børsting, Caroline K., Browne, Dillon T., Caruso, Eugene M., Chen, Rong, Chie, Bin-Tzong, Chopik, William J., Collins, Robert N., Cong, Chin Wen, Conway, Lucian G., Davis, Matthew, Day, Martin V., Dhaliwal, Nathan A., Durham, Justin D., Dziekan, Martyna, Elbaek, Christian T., Shuman, Eric, Fabrykant, Marharyta, Firat, Mustafa, Fong, Geoffrey T., Frimer, Jeremy A., Gallegos, Jonathan M., Goldberg, Simon B., Gollwitzer, Anton, Goyal, Julia, Graf-Vlachy, Lorenz, Gronlund, Scott D., Hafenbrädl, Sebastian, Hartanto, Andree, Hirshberg, Matthew J., Hornsey, Matthew J., Howe, Piers D. L., Izadi, Anoosha, Jaeger, Bastian, Kačmár, Pavol, Kim, Yeun Joon, Krenzler, Ruslan, Lannin, Daniel G., Lin, Hung-Wen, Lou, Nigel Mantou, Lua, Verity Y. Q., Lukaszewski, Aaron W., Ly, Albert L., Madan, Christopher R., Maier, Maximilian, Majeed, Nadyanna M., March, David S., Marsh, Abigail A., Misiak, Michal, Myrseth, Kristian Ove R., Napan, Jaime M., Nicholas, Jonathan, Nikolopoulos, Konstantinos, O, Jiaqing, Otterbring, Tobias, Paruzel-Czachura, Mariola, Pauer, Shiva, Protzko, John, Raffaelli, Quentin, Ropovik, Ivan, Ross, Robert M., Roth, Yefim, Røysamb, Espen, Schnabel, Landon, Schütz, Astrid, Seifert, Matthias, Sevincer, A. T., Sherman, Garrick T., Simonsson, Otto, Sung, Ming-Chien, Tai, Chung-Ching, Talhelm, Thomas, Teachman, Bethany A., Tetlock, Philip E., Thomakos, Dimitrios, Tse, Dwight C. K., Twardus, Oliver J., Tybur, Joshua M., Ungar, Lyle, Vandermeulen, Daan, Vaughan Williams, Leighton, Vosgerichian, Hrag A., Wang, Qi, Wang, Ke, Whiting, Mark E., Wollbrant, Conny E., Yang, Tao, Yogeeswaran, Kumar, Yoon, Sangsuk, Alves, Ventura R., Andrews-Hanna, Jessica R., Bloom, Paul A., Boyles, Anthony, Charis, Loo, Choi, Mingyeong, Darling-Hammond, Sean, Ferguson, Z. E., Kaiser, Cheryl R., Karg, Simon T., Ortega, Alberto López, Mahoney, Lori, Marsh, Melvin S., Martinie, Marcellin F. R. C., Michaels, Eli K., Millroth, Philip, Naqvi, Jeanean B., Ng, Weiting, Rutledge, Robb B., Slattery, Peter, Smiley, Adam H., Strijbis, Oliver, Sznycer, Daniel, Tsukayama, Eli, van Loon, Austin, Voelkel, Jan G., Wienk, Margaux N. A., Wilkening, Tom, Collaborative, The Forecasting
Publikováno v:
Nature Human Behaviour, 7(4), 484-501. Springer Nature
Nature Human Behaviour, 7(4), 484-501. Nature Publishing Group
The Forecasting Collaborative 2023, ' Insights into the accuracy of social scientists’ forecasts of societal change ', Nature Human Behaviour, vol. 7, no. 4, pp. 484-501 . https://doi.org/10.1038/s41562-022-01517-1
Nature Human Behaviour, 7, 4, pp. 484-501
Nature Human Behaviour, 7, 484-501
Grossmann, I, Rotella, A, Hutcherson, C A, Sharpinskyi, K, Varnum, M E W, Achter, S, Dhami, M K, Guo, X E, Kara-Yakoubian, M, Mandel, D R, Raes, L, Tay, L, Vie, A, Wagner, L, Adamkovic, M, Arami, A, Arriaga, P, Bandara, K, Baník, G, Bartoš, F, Baskin, E, Bergmeir, C, Białek, M, Børsting, C K, Browne, D T, Caruso, E M, Chen, R, Chie, B-T, Chopik, W J, Collins, R N, Cong, C W, Conway, L G, Davis, M, Day, M V, Dhaliwal, N A, Durham, J D, Dziekan, M, Elbaek, C T, Shuman, E, Fabrykant, M, Firat, M, Fong, G T, Frimer, J A, Gallegos, J M, Goldberg, S B, Gollwitzer, A, Goyal, J, Graf-Vlachy, L, Gronlund, S D, Hafenbrädl, S, Hartanto, A, Hirshberg, M J, Hornsey, M J, Howe, P D L, Izadi, A, Jaeger, B, Kačmár, P, Kim, Y J, Krenzler, R, Lannin, D G, Lin, H-W, Lou, N M, Lua, V Y Q, Lukaszewski, A W, Ly, A L, Madan, C R, Maier, M, Majeed, N M, March, D S, Marsh, A A, Misiak, M, Myrseth, K O R, Napan, J M, Nicholas, J, Nikolopoulos, K, O, J, Otterbring, T, Paruzel-Czachura, M, Pauer, S, Protzko, J, Raffaelli, Q, Ropovik, I, Ross, R M, Roth, Y, Røysamb, E, Schnabel, L, Schütz, A, Seifert, M, Sevincer, A T, Sherman, G T, Simonsson, O, Sung, M-C, Tai, C-C, Talhelm, T, Teachman, B A, Tetlock, P E, Thomakos, D, Tse, D C K, Twardus, O J, Tybur, J M, Ungar, L, Vandermeulen, D, Vaughan Williams, L, Vosgerichian, H A, Wang, Q, Wang, K, Whiting, M E, Wollbrant, C E, Yang, T, Yogeeswaran, K, Yoon, S, Alves, V R, Andrews-Hanna, J R, Bloom, P A, Boyles, A, Charis, L, Choi, M, Darling-Hammond, S, Ferguson, Z E, Kaiser, C R, Karg, S T, Ortega, A L, Mahoney, L, Marsh, M S, Martinie, M F R C, Michaels, E K, Millroth, P, Naqvi, J B, Ng, W, Rutledge, R B, Slattery, P, Smiley, A H, Strijbis, O, Sznycer, D, Tsukayama, E, van Loon, A, Voelkel, J G, Wienk, M N A, Wilkening, T & Collaborative, T F 2023, ' Insights into the accuracy of social scientists’ forecasts of societal change ', Nature Human Behaviour . https://doi.org/10.1038/s41562-022-01517-1
Nature Human Behaviour
Nature Human Behaviour, 7(4), 484-501. Nature Publishing Group
The Forecasting Collaborative 2023, ' Insights into the accuracy of social scientists’ forecasts of societal change ', Nature Human Behaviour, vol. 7, no. 4, pp. 484-501 . https://doi.org/10.1038/s41562-022-01517-1
Nature Human Behaviour, 7, 4, pp. 484-501
Nature Human Behaviour, 7, 484-501
Grossmann, I, Rotella, A, Hutcherson, C A, Sharpinskyi, K, Varnum, M E W, Achter, S, Dhami, M K, Guo, X E, Kara-Yakoubian, M, Mandel, D R, Raes, L, Tay, L, Vie, A, Wagner, L, Adamkovic, M, Arami, A, Arriaga, P, Bandara, K, Baník, G, Bartoš, F, Baskin, E, Bergmeir, C, Białek, M, Børsting, C K, Browne, D T, Caruso, E M, Chen, R, Chie, B-T, Chopik, W J, Collins, R N, Cong, C W, Conway, L G, Davis, M, Day, M V, Dhaliwal, N A, Durham, J D, Dziekan, M, Elbaek, C T, Shuman, E, Fabrykant, M, Firat, M, Fong, G T, Frimer, J A, Gallegos, J M, Goldberg, S B, Gollwitzer, A, Goyal, J, Graf-Vlachy, L, Gronlund, S D, Hafenbrädl, S, Hartanto, A, Hirshberg, M J, Hornsey, M J, Howe, P D L, Izadi, A, Jaeger, B, Kačmár, P, Kim, Y J, Krenzler, R, Lannin, D G, Lin, H-W, Lou, N M, Lua, V Y Q, Lukaszewski, A W, Ly, A L, Madan, C R, Maier, M, Majeed, N M, March, D S, Marsh, A A, Misiak, M, Myrseth, K O R, Napan, J M, Nicholas, J, Nikolopoulos, K, O, J, Otterbring, T, Paruzel-Czachura, M, Pauer, S, Protzko, J, Raffaelli, Q, Ropovik, I, Ross, R M, Roth, Y, Røysamb, E, Schnabel, L, Schütz, A, Seifert, M, Sevincer, A T, Sherman, G T, Simonsson, O, Sung, M-C, Tai, C-C, Talhelm, T, Teachman, B A, Tetlock, P E, Thomakos, D, Tse, D C K, Twardus, O J, Tybur, J M, Ungar, L, Vandermeulen, D, Vaughan Williams, L, Vosgerichian, H A, Wang, Q, Wang, K, Whiting, M E, Wollbrant, C E, Yang, T, Yogeeswaran, K, Yoon, S, Alves, V R, Andrews-Hanna, J R, Bloom, P A, Boyles, A, Charis, L, Choi, M, Darling-Hammond, S, Ferguson, Z E, Kaiser, C R, Karg, S T, Ortega, A L, Mahoney, L, Marsh, M S, Martinie, M F R C, Michaels, E K, Millroth, P, Naqvi, J B, Ng, W, Rutledge, R B, Slattery, P, Smiley, A H, Strijbis, O, Sznycer, D, Tsukayama, E, van Loon, A, Voelkel, J G, Wienk, M N A, Wilkening, T & Collaborative, T F 2023, ' Insights into the accuracy of social scientists’ forecasts of societal change ', Nature Human Behaviour . https://doi.org/10.1038/s41562-022-01517-1
Nature Human Behaviour
Item does not contain fulltext How well can social scientists predict societal change, and what processes underlie their predictions? To answer these questions, we ran two forecasting tournaments testing the accuracy of predictions of societal change
Publikováno v:
Proc Int AAAI Conf Weblogs Soc Media
The word embedding association test (WEAT) is an important method for measuring linguistic biases against social groups such as ethnic minorities in large text corpora. It does so by comparing the semantic relatedness of words prototypical of the gro
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
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In this study, we examine how schematic similarity or dissimilarity relates to social influence. We consider two types of schematic similarity or dissimilarity: values-based and knowledge-based.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::27afb62aaf93122b93635743c538dea5
Publikováno v:
Working Papers (Faculty) - Stanford Graduate School of Business. Jul2020, p1-47. 48p.