Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media
Summary
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media is a scholarly article[1].
Key Facts
Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media's instance of is recorded as scholarly article[2].
References
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APA4ort.xyz Knowledge Graph. (2026). Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media. Retrieved May 24, 2026, from https://4ort.xyz/entity/multi-task-ordinal-regression-for-jointly-predicting-the-trustworthiness-and-the-leading-political-ideology-of-news-medi
MLA“Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/multi-task-ordinal-regression-for-jointly-predicting-the-trustworthiness-and-the-leading-political-ideology-of-news-medi.
BibTeX@misc{4ortxyz_multi-task-ordinal-regression-for-jointly-predicting-the-trustworthiness-and-the-leading-political-ideology-of-news-medi_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media}}, year = {2026}, url = {https://4ort.xyz/entity/multi-task-ordinal-regression-for-jointly-predicting-the-trustworthiness-and-the-leading-political-ideology-of-news-medi}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media — https://4ort.xyz/entity/multi-task-ordinal-regression-for-jointly-predicting-the-trustworthiness-and-the-leading-political-ideology-of-news-medi (retrieved 2026-05-24)
