Multi-Task Ordinal Regression for Jointly Predicting the Trustworthiness and the Leading Political Ideology of News Media (N19-1)
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| Challenge: | a number of fact-checking initiatives have been launched, both manual and automatic, but the whole enterprise remains in a state of crisis. |
| Approach: | They propose a multi-task ordinal regression framework that models trustworthiness estimation and political ideology detection of entire news outlets. |
| Outcome: | The proposed model outperforms models that target the problems in isolation. |
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| Challenge: | a new study examines the role of media in predicting political ideology or bias in news articles . systematic exposure to bias in the news can foster intolerance and ideological segregation . |
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| Challenge: | Existing datasets for the ID task only label a text as ideologically left- or right-leaning as a whole, regardless whether the text containing one or more different issues. |
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| Challenge: | a recent study shows that media influence opinion via the inclusion or omission of partisan events. |
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A Stylometric Inquiry into Hyperpartisan and Fake News (P18-1)
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| Challenge: | Political propaganda and one-sided views can be found in the news and can cause distrust in media. |
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| Challenge: | a growing number of scholars are profiling entire news outlets to profile fake content . political bias detection is also an important topic, but the two problems have been addressed separately . |
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Multi-view Models for Political Ideology Detection of News Articles (D18-1)
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| Challenge: | Existing models for automatic detection of political ideology only leverage textual cues to identify the ideology evinced by a news article. |
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Probing Political Ideology in Large Language Models: How Latent Political Representations Generalize Across Tasks (2025.findings-emnlp)
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| Challenge: | Large language models encode rich internal representations of political ideology, but it remains unclear how these representations contribute to model decision-making. |
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Inflating Topic Relevance with Ideology: A Case Study of Political Ideology Bias in Social Topic Detection Models (2020.coling-main)
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| Challenge: | a study examines the impact of political ideology biases in training data . topic detection methods may contain or propagate certain biase resulting in a skewed data collection . |
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Come hither or go away? Recognising pre-electoral coalition signals in the news (2021.emnlp-main)
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Ines Rehbein, Simone Paolo Ponzetto, Anna Adendorf, Oke Bahnsen, Lukas Stoetzer, Heiner Stuckenschmidt
| Challenge: | In this paper, we decompose the task of recognizing from the news coverage leading up to an election the (un)willingness of political parties to form a coalition into two related, but distinct tasks. |
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