Papers by Guy Mor-Lan
The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech (2025.emnlp-main)
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| Challenge: | a new computational model for political delegitimization discourse is proposed for analysis of democratic discourse . we identify the importance of PDD as a powerful tool in political competition . |
| Approach: | They propose a computational classification pipeline for political delegitimization discourse . they annotate a Hebrew-language corpus of 10,410 sentences from parliamentary speeches, facebook posts and leading news outlets . |
| Outcome: | The proposed model achieves an F1 of 0.74 for binary detection and a macro-F1 of 0.6 for classification of delegitimization characteristics. |
FactAppeal: Identifying Epistemic Factual Appeals in News Media (2026.findings-eacl)
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| Challenge: | Existing methods focus on the content of factual statements and ignore the epistemic structures that confer credibility and persuasive force to these claims. |
| Approach: | They propose a task of Epistemic Appeal Identification to identify whether and how factual statements have been anchored by external sources or evidence. |
| Outcome: | The proposed task identifies whether and how factual statements have been anchored by external sources or evidence. |
Exploring Factual Entailment with NLI: A News Media Study (2024.starsem-1)
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| Challenge: | Recent studies have focused on the relationship between factuality and Natural Language Inference (NLI). |
| Approach: | They propose a novel annotation scheme that models factual rather than textual entailment and use it to annotate a dataset of naturally occurring sentences from news articles. |
| Outcome: | The proposed annotation scheme can be used to model factual relationships on a dataset of naturally occurring sentences from news articles. |
HebID: Detecting Social Identities in Hebrew-language Political Text (2025.findings-emnlp)
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| Challenge: | Existing NLP datasets focus on coarse-grained identity categories . existing datasets are mostly English-centric and focus on fine-grain categories based on cultural contexts. |
| Approach: | They introduce the first multilabel Hebrew corpus for social identity detection . they use Hebrew-tuned encoders alongside 2B-9B-parameter decoders . |
| Outcome: | The proposed classifier is based on a national public survey and uses Hebrew-tuned encoders to analyze political discourse and political speeches. |
IsraParlTweet: The Israeli Parliamentary and Twitter Resource (2024.lrec-main)
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| Challenge: | IsraParlTweet is a linked corpus of parliamentary discussions from the Knesset between 1992-2023 and Twitter posts made by Members of the Kneset between 2008-2023. |
| Approach: | They propose a linked corpus of parliamentary discussions from the Knesset between 1992-2023 and Twitter posts made by Members of the Kneset between 2008-2023. |
| Outcome: | IsraParlTweet can be used to conduct quantitative and qualitative analyses and provide valuable insights into political discourse in Israel. |
Location Not Found: Exposing Implicit Local and Global Biases in Multilingual LLMs (2026.acl-long)
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Guy Mor-Lan, Omer Goldman, Matan Eyal, Adi Mayrav Gilady, Sivan Eiger, Idan Szpektor, Avinatan Hassidim, Yossi Matias, Reut Tsarfaty
| Challenge: | Multilingual large language models have minimized the fluency gap between languages, but they are exposed to the risk of biases as knowledge and norms may propagate across languages. |
| Approach: | They propose a test set with 2,156 questions in 12 languages to quantify models' biases . they show a global bias towards answers relevant to the US-locale . |
| Outcome: | The proposed model can answer locale-ambiguous questions in 12 languages. |