Traci Hong — accepted AI-conference papers

2025

A Multi-Labeled Dataset for Indonesian Discourse: Examining Toxicity, Polarization, and Demographics Information

Lucky Susanto, Musa Izzanardi Wijanarko, Prasetia Anugrah Pratama, Zilu Tang, Fariz Akyas, Traci Hong +3

ACL 2025finding

Online discourse is increasingly trapped in a vicious cycle where polarizing language fuelstoxicity and vice versa. Identity, one of the most divisive issues in modern politics, oftenincreases polarization. Yet, prior NLP research has mostly treated toxicity and polarization asseparate problems. In…

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2024

Monitoring Hate Speech in Indonesia: An NLP-based Classification of Social Media Texts

Musa Izzanardi Wijanarko, Lucky Susanto, Prasetia Anugrah Pratama, Ika Karlina Idris, Traci Hong, Derry Tanti Wijaya

EMNLP 2024system demonstrations

Online hate speech propagation is a complex issue, deeply influenced by both the perpetrator and the target’s cultural, historical, and societal contexts. Consequently, developing a universally robust hate speech classifier for diverse social media texts remains a challenging and unsolved task. The…

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2023

COVID-19 Vaccine Misinformation in Middle Income Countries

Jongin Kim, Byeo Rhee Bak, Aditya Agrawal, Jiaxi Wu, Veronika J. Wirtz, Traci Hong +1

EMNLP 2023long main

This paper introduces a multilingual dataset of COVID-19 vaccine misinformation, consisting of annotated tweets from three middle-income countries: Brazil, Indonesia, and Nigeria. The expertly curated dataset includes annotations for 5,952 tweets, assessing their relevance to COVID-19 vaccines, pres…

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