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Word embeddings quantify 100 years of gender and ethnic stereotypes

Citations

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Cited by:

  1. Chenyu Zheng, 2020. "Comparisons of the City Brand Influence of Global Cities: Word-Embedding Based Semantic Mining and Clustering Analysis on the Big Data of GDELT Global News Knowledge Graph," Sustainability, MDPI, vol. 12(16), pages 1-18, August.
  2. Kun Sun & Rong Wang, 2022. "The Evolutionary Pattern of Language in English Fiction Over the Last Two Centuries: Insights From Linguistic Concreteness and Imageability," SAGE Open, , vol. 12(1), pages 21582440211, January.
  3. Sudeep Bhatia, 2019. "Predicting Risk Perception: New Insights from Data Science," Management Science, INFORMS, vol. 65(8), pages 3800-3823, August.
  4. Elliott Ash & Ruben Durante & Maria Grebenshchikova & Carlo Schwarz, 2022. "Visual Representation and Stereotypes in News Media," CESifo Working Paper Series 9686, CESifo.
  5. Diego Kozlowski & Jennifer Dusdal & Jun Pang & Andreas Zilian, 2021. "Semantic and relational spaces in science of science: deep learning models for article vectorisation," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 5881-5910, July.
  6. Martin Baumgaertner & Johannes Zahner, 2021. "Whatever it takes to understand a central banker - Embedding their words using neural networks," MAGKS Papers on Economics 202130, Philipps-Universität Marburg, Faculty of Business Administration and Economics, Department of Economics (Volkswirtschaftliche Abteilung).
  7. Stefan Feuerriegel & Mateusz Dolata & Gerhard Schwabe, 2020. "Fair AI," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(4), pages 379-384, August.
  8. Katharina Lix & Amir Goldberg & Sameer B. Srivastava & Melissa A. Valentine, 2022. "Aligning Differences: Discursive Diversity and Team Performance," Management Science, INFORMS, vol. 68(11), pages 8430-8448, November.
  9. Dustin S. Stoltz & Marshall A. Taylor, 2019. "Concept Mover’s Distance: measuring concept engagement via word embeddings in texts," Journal of Computational Social Science, Springer, vol. 2(2), pages 293-313, July.
  10. Kim, Lanu & Smith, Daniel Scott & Hofstra, Bas & McFarland, Daniel A., 2022. "Gendered knowledge in fields and academic careers," Research Policy, Elsevier, vol. 51(1).
  11. Moritz Zahn & Stefan Feuerriegel & Niklas Kuehl, 2022. "The Cost of Fairness in AI: Evidence from E-Commerce," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 64(3), pages 335-348, June.
  12. Taylor, Marshall A. & Stoltz, Dustin S., 2020. "Integrating Semantic Directions with Concept Mover's Distance to Measure Binary Concept Engagement," SocArXiv 36r2d, Center for Open Science.
  13. Haochuan Cui & Tiewei Li & Cheng-Jun Wang, 2023. "Climbing up the ladder of abstraction: how to span the boundaries of knowledge space in the online knowledge market?," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-12, December.
  14. Kim, Jae Yeon, 2021. "Power, Hate Speech, Machine Learning, and Intersectional Approach," SocArXiv chvgp, Center for Open Science.
  15. Yunke Zhang & Fengli Xu & Lin Chen & Yuan Yuan & James Evans & Luis Bettencourt & Yong Li, 2024. "Counterfactual mobility network embedding reveals prevalent accessibility gaps in U.S. cities," Palgrave Communications, Palgrave Macmillan, vol. 11(1), pages 1-12, December.
  16. Quariguasi Frota Neto, João & Dutordoir, Marie, 2020. "Mapping the market for remanufacturing: An application of “Big Data” analytics," International Journal of Production Economics, Elsevier, vol. 230(C).
  17. David Rozado, 2020. "Wide range screening of algorithmic bias in word embedding models using large sentiment lexicons reveals underreported bias types," PLOS ONE, Public Library of Science, vol. 15(4), pages 1-26, April.
  18. Atefeh Fathi & Usama El-Awad & Tilman Reinelt & Franz Petermann, 2018. "A Brief Introduction to the Multidimensional Intercultural Training Acculturation Model (MITA) for Middle Eastern Adolescent Refugees," IJERPH, MDPI, vol. 15(7), pages 1-14, July.
  19. Huimin Xu & Zhang Zhang & Lingfei Wu & Cheng-Jun Wang, 2019. "The Cinderella Complex: Word embeddings reveal gender stereotypes in movies and books," PLOS ONE, Public Library of Science, vol. 14(11), pages 1-18, November.
  20. Sandeep Soni & Kristina Lerman & Jacob Eisenstein, 2021. "Follow the leader: Documents on the leading edge of semantic change get more citations," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 72(4), pages 478-492, April.
  21. Kun Sun & Haitao Liu & Wenxin Xiong, 2021. "The evolutionary pattern of language in scientific writings: A case study of Philosophical Transactions of Royal Society (1665–1869)," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1695-1724, February.
  22. Marshall A. Taylor & Dustin S. Stoltz, 2021. "Integrating semantic directions with concept mover’s distance to measure binary concept engagement," Journal of Computational Social Science, Springer, vol. 4(1), pages 231-242, May.
  23. Ke, Qing, 2020. "The citation disadvantage of clinical research," Journal of Informetrics, Elsevier, vol. 14(1).
  24. Antonio De Nicola & Gregorio D’Agostino, 2021. "Assessment of gender divide in scientific communities," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(5), pages 3807-3840, May.
  25. Williamson, Amanda Jasmine & Battisti, Martina & Pollack, Jeffrey M., 2022. "Capturing passion expressed in text with artificial intelligence (AI): Affective passion waned, and identity centrality was sustained in social ventures," Journal of Business Venturing Insights, Elsevier, vol. 17(C).
  26. Kanyao Han & Rezvaneh Rezapour & Katia Nakamura & Dikshya Devkota & Daniel C. Miller & Jana Diesner, 2023. "An expert‐in‐the‐loop method for domain‐specific document categorization based on small training data," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 74(6), pages 669-684, June.
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