Search results
Results: 142
Number of items: 142
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Rogers, R., & Giorgi, G. (2024). What is a meme, technically speaking? Information, Communication & Society, 27(1), 73-91. https://doi.org/10.1080/1369118X.2023.2174790 -
Leidinger, A., & Rogers, R. (2024). How Are LLMs Mitigating Stereotyping Harms? Learning from Search Engine Studies. In S. Das, B. P. Green, K. Varshney, M. Ganapini, & A. Renda (Eds.), Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society: AIES-24 (pp. 839-854). AAAI Press. https://doi.org/10.1609/aies.v7i1.31684 -
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 -
Leidinger, A., & Rogers, R. (2023, May 8). Stereotype elicitation in Google, DuckDuckGo and Yahoo! autcompletion [Data set]. Zenodo. https://doi.org/10.5281/zenodo.7906930
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Mager, A., Norocel, O. C., & Rogers, R. (2023). Advancing search engine studies: The evolution of Google critique and intervention. Big Data & Society, 10(2). https://doi.org/10.1177/20539517231191528 -
Pilipets, E., Geboers, M., Bosch, M., Divon, T., Delavar-Kasmai, D., Tuters, M., Noordenbos, B., Rogers, R., & Zhang, X. (2023). WarTok: Networked Soundscapes of Memetic Warfare. In AoIR2023: Research from the Annual Conference of the Association of Internet Researchers (Selected Papers in Internet Research; Vol. 2023). Association of Internet Researchers. https://doi.org/10.5210/spir.v2023i0.13532 -
Leidinger, A., & Rogers, R. (2023). Which Stereotypes Are Moderated and Under-Moderated in Search Engine Autocompletion? In FAccT '23: Proceedings of the 2023 ACM Conference on Fairness, Accountability, and Transparency (pp. 1049–1061). Association for Computing Machinery. https://doi.org/10.1145/3593013.3594062 -
Willcox, M., Rogers, R., Peute, M., & Stanusch, N. (2023). Undertaking digital ethnography on and with Instagram. UNESCO. https://unesdoc.unesco.org/ark:/48223/pf0000384931
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