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Rogers, R., & Zhang, X. (2024). The Russia–Ukraine War in Chinese Social Media: LLM Analysis Yields a Bias Toward Neutrality. Social Media + Society, 10(2), 1-12. https://doi.org/10.1177/20563051241254379 -
Morpurgo, J., Huurdeman, M. A., Oostermeijer, J. G. B., & Remme, R. P. (2024). Vegetation density is the main driver of insect species richness and diversity in small private urban front gardens. Urban Forestry and Urban Greening, 101, Article 128531. https://doi.org/10.1016/j.ufug.2024.128531 -
Wu, D., Tan, S., Meng, Y., Stap, D., & Monz, C. (2024). How Far can 100 Samples Go? Unlocking Zero-Shot Translation with Tiny Multi-Parallel Data. In L.-W. Ku, A. Martins, & V. Srikumar (Eds.), The 62nd Annual Meeting of the Association for Computational Linguistics : Findings of the Association for Computational Linguistics: ACL 2024: ACL 2024 : August 11-16, 2024 (pp. 15092-15108). Association for Computational Linguistics. https://doi.org/10.18653/v1/2024.findings-acl.896 -
Rus, C., Poerwawinata, G., Yates, A., & de Rijke, M. (2024). AnnoRank: A Comprehensive Web-Based Framework for Collecting Annotations and Assessing Rankings. In CIKM '24: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management : October, 21-25. 2024, Boise, ID, USA (pp. 5400-5404). Association for Computing Machinery. https://doi.org/10.1145/3627673.3679174 -
Luederwald, S., Davies, J., Fernandes, T. F., Praetorius, A., Sergent, J.-A., Tatsi, K., Tell, J., Timmer, N., & Wagner, S. (2024). Practical considerations to optimize aquatic testing of particulate material, with focus on nanomaterials. Environmental Science: Nano, 11(6), 2352-2371. https://doi.org/10.1039/d4en00056k -
McGovern, H. T., & Otten, M. (2024). Priors and prejudice: hierarchical predictive processing in intergroup perception. Frontiers in Psychology, 15, Article 1386370. https://doi.org/10.3389/fpsyg.2024.1386370 -
Gao, C., Hannula, S. E., van Bodegom, P. M., Bezemer, T. M., de Vries, F. T., Hassink, J., in ’t Zandt, M. H., & Moinet, G. Y. K. (2024). Land use intensity differently affects soil microbial functional communities in arable fields. Applied Soil Ecology, 204, Article 105723. https://doi.org/10.1016/j.apsoil.2024.105723
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