=Paper=
{{Paper
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|storemode=property
|title=None
|pdfUrl=https://ceur-ws.org/Vol-3871/invited1.pdf
|volume=Vol-3871
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==None==
<pdf width="1500px">https://ceur-ws.org/Vol-3871/invited1.pdf</pdf>
<pre>
                         NLP for CounterSpeech - Trends and Open Challenges
                         Marco Guerini1
                         1
                             Fondazione Bruno Kessler (FBK), Trento, Italy




                         Abstract of Invited Talk
                         This talk addresses the use of argumentation-based textual responses—referred to as counterspeech—to
                         combat online hate speech, an emerging topic in Natural Language Processing. Specifically, it explores
                         the automated generation of counterspeech as an effective strategy for intervening in harmful online
                         discourse. Following an overview of the field, various methodologies for collecting high-quality data and
                         effective generation strategies, including state-of-the-art LLMs, are discussed. The talk also examines
                         critical challenges at the intersection of online safety, argumentation strategies and the effectiveness of
                         NLP interventions.




                          8th Workshop on Advances in Argumentation in Artificial Intelligence (AI3 ), November 28, 2024, Bozen, Italy
                          $ guerini@fbk.eu (M. Guerini)
                                        © 2024 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).


CEUR
                  ceur-ws.org
Workshop      ISSN 1613-0073
Proceedings

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