Papers by Barea Sinno
Political Ideology and Polarization: A Multi-dimensional Approach (2022.naacl-main)
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| Challenge: | Recent research has made great strides towards understanding the ideological bias (i.e., stance) of news media along the left-right spectrum. |
| Approach: | They propose a novel approach for the study of ideology based on its left or right positions on the issue being discussed. |
| Outcome: | The proposed method allows for the quantitative and temporal measurement and analysis of polarization as a multidimensional ideological distance. |
How people talk about each other: Modeling Generalized Intergroup Bias and Emotion (2023.eacl-main)
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Venkata Subrahmanyan Govindarajan, Katherine Atwell, Barea Sinno, Malihe Alikhani, David I. Beaver, Junyi Jessy Li
| Challenge: | Current studies of bias in NLP rely on identifying (unwanted or negative) bias towards a specific demographic group, but this is not always practical. |
| Approach: | They extrapolate a notion of bias from social science literature to predict interpersonal group relationship (IGR) using interpersonal emotions as an anchor. |
| Outcome: | The proposed model predicts the interpersonal group relationship (IGR) using interpersonal emotions as an anchor. |
Adaptive Ensembling: Unsupervised Domain Adaptation for Political Document Analysis (D19-1)
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| Challenge: | a new study examines the use of labeled and unlabeled corpora in political science research . large corporata often contain documents of a certain subject or type, but they are often unlabed . a recent study found that labeles with pertinent documents stem from a single source . |
| Approach: | They propose an unsupervised domain adaptation framework that uses a text classification model and time-aware training to ensure it works well with diachronic corpora. |
| Outcome: | The proposed framework outperforms benchmarks on an expert-annotated dataset and is more stable and learns better representations. |