Papers by Tanise Ceron
Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers (2023.emnlp-main)
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| Challenge: | Scaling analysis is a technique that assigns a political actor a score on a predefined scale based on 'typically long' text. |
| Approach: | They propose to use label aggregation and long-input-Transformer-based models to automatically scale political-party manifestos. |
| Outcome: | The proposed models can scale political platforms on a predefined scale based on 'left-right' scales and work robustly across domains and languages. |
Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs (2026.eacl-long)
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| Challenge: | Public opinion surveys show cross-cultural differences in political opinions between socio-cultural contexts. |
| Approach: | They analyze whether opinions transfer between languages or whether there are separate opinions for each language in multilingual large language models of various sizes across five Western languages. |
| Outcome: | The political alignment shifts opinions almost uniformly across all five languages. |
Toeing the Party Line: Election Manifestos as a Key to Understand Political Discourse on Twitter (2024.findings-emnlp)
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| Challenge: | Recent work on political positioning on Twitter has tended to focus on manifestos rather than social media since it is ambiguous and dependent on social context. |
| Approach: | They propose to use hashtags as a signal to fine-tune text representations for politicians' tweets using a hashtag-based method to predict pairwise positional similarities between parties from the manifesto case to the Twitter case. |
| Outcome: | The proposed method matches politicians' statements to official lines of the parties' tweets, even when only small subsets from shorter time periods are available. |
Additive manifesto decomposition: A policy domain aware method for understanding party positioning (2023.findings-acl)
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| Challenge: | Existing methods for estimating policy domain aware party similarity are limited to global domains. |
| Approach: | They propose a workflow for estimating policy domain aware party similarity by aggregating policy domains into a single figure . they use a set of tools to extract party positions on major policy axes via multidimensional scaling. |
| Outcome: | The proposed method yields high correlation when predicting party similarity at a global level and provides accurate party-specific positions even with automatically labelled policy domains. |