Search Results for author: Yi-Ling Chung

Found 8 papers, 5 papers with code

DoDo Learning: DOmain-DemOgraphic Transfer in Language Models for Detecting Abuse Targeted at Public Figures

1 code implementation31 Jul 2023 Hannah Rose Kirk, Angus R. Williams, Liam Burke, Yi-Ling Chung, Ivan Debono, Pica Johansson, Francesca Stevens, Jonathan Bright, Scott A. Hale

We find that (i) small amounts of diverse data are hugely beneficial to generalisation and model adaptation; (ii) models transfer more easily across demographics but models trained on cross-domain data are more generalisable; (iii) some groups contribute more to generalisability than others; and (iv) dataset similarity is a signal of transferability.

text-classification Text Classification

Understanding Counterspeech for Online Harm Mitigation

no code implementations1 Jul 2023 Yi-Ling Chung, Gavin Abercrombie, Florence Enock, Jonathan Bright, Verena Rieser

Counterspeech offers direct rebuttals to hateful speech by challenging perpetrators of hate and showing support to targets of abuse.

Multilingual Counter Narrative Type Classification

1 code implementation EMNLP (ArgMining) 2021 Yi-Ling Chung, Marco Guerini, Rodrigo Agerri

The growing interest in employing counter narratives for hatred intervention brings with it a focus on dataset creation and automation strategies.

Classification Vocal Bursts Type Prediction

Empowering NGOs in Countering Online Hate Messages

no code implementations6 Jul 2021 Yi-Ling Chung, Serra Sinem Tekiroglu, Sara Tonelli, Marco Guerini

In this paper, we introduce a novel ICT platform that NGO operators can use to monitor and analyze social media data, along with a counter-narrative suggestion tool.


Towards Knowledge-Grounded Counter Narrative Generation for Hate Speech

1 code implementation Findings (ACL) 2021 Yi-Ling Chung, Serra Sinem Tekiroglu, Marco Guerini

Tackling online hatred using informed textual responses - called counter narratives - has been brought under the spotlight recently.

Generating Counter Narratives against Online Hate Speech: Data and Strategies

no code implementations ACL 2020 Serra Sinem Tekiroglu, Yi-Ling Chung, Marco Guerini

Recently research has started focusing on avoiding undesired effects that come with content moderation, such as censorship and overblocking, when dealing with hatred online.

Text Generation

CONAN - COunter NArratives through Nichesourcing: a Multilingual Dataset of Responses to Fight Online Hate Speech

1 code implementation ACL 2019 Yi-Ling Chung, Elizaveta Kuzmenko, Serra Sinem Tekiroglu, Marco Guerini

Although there is an unprecedented effort to provide adequate responses in terms of laws and policies to hate content on social media platforms, dealing with hatred online is still a tough problem.

Data Augmentation Translation

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