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Samuel Fraiberger

4 accepted papers

2025

HateDay: Insights from a Global Hate Speech Dataset Representative of a Day on Twitter

ACL 2025long

To address the global challenge of online hate speech, prior research has developed detection models to flag such content on social media. However, due to systematic biases in evaluation datasets, the real-world effectiveness of these models remains unclear, particularly across geographies. We intro…

Cited by 0SourcePDFScholar
2024

NaijaHate: Evaluating Hate Speech Detection on Nigerian Twitter Using Representative Data

ACL 2024long

To address the global issue of online hate, hate speech detection (HSD) systems are typically developed on datasets from the United States, thereby failing to generalize to English dialects from the Majority World. Furthermore, HSD models are often evaluated on non-representative samples, raising co…

2023

EconBERTa: Towards Robust Extraction of Named Entities in Economics

EMNLP 2023long findings

Adapting general-purpose language models has proven to be effective in tackling downstream tasks within specific domains. In this paper, we address the task of extracting entities from the economics literature on impact evaluation. To this end, we release EconBERTa, a large language model pretrained…

Cited by 0SourceScholar
2022

Multilingual Detection of Personal Employment Status on Twitter

ACL 2022long

Detecting disclosures of individuals’ employment status on social media can provide valuable information to match job seekers with suitable vacancies, offer social protection, or measure labor market flows. However, identifying such personal disclosures is a challenging task due to their rarity in a…