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An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls
Research article (Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021) · cited 12× · AI/ML
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APA4ort.xyz Knowledge Graph. (2026). An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls. Retrieved May 24, 2026, from https://4ort.xyz/entity/an-empirical-investigation-of-bias-in-the-multimodal-analysis-of-financial-earnings-calls
MLA“An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/an-empirical-investigation-of-bias-in-the-multimodal-analysis-of-financial-earnings-calls.
BibTeX@misc{4ortxyz_an-empirical-investigation-of-bias-in-the-multimodal-analysis-of-financial-earnings-calls_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls}}, year = {2026}, url = {https://4ort.xyz/entity/an-empirical-investigation-of-bias-in-the-multimodal-analysis-of-financial-earnings-calls}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): An Empirical Investigation of Bias in the Multimodal Analysis of Financial Earnings Calls — https://4ort.xyz/entity/an-empirical-investigation-of-bias-in-the-multimodal-analysis-of-financial-earnings-calls (retrieved 2026-05-24)
