Opening up Minds with Argumentative Dialogues

Youmna Farag, Charlotte Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev, Andreas Vlachos


Abstract
Recent research on argumentative dialogues has focused on persuading people to take some action, changing their stance on the topic of discussion, or winning debates. In this work, we focus on argumentative dialogues that aim to open up (rather than change) people’s minds to help them become more understanding to views that are unfamiliar or in opposition to their own convictions. To this end, we present a dataset of 183 argumentative dialogues about 3 controversial topics: veganism, Brexit and COVID-19 vaccination. The dialogues were collected using the Wizard of Oz approach, where wizards leverage a knowledge-base of arguments to converse with participants. Open-mindedness is measured before and after engaging in the dialogue using a questionnaire from the psychology literature, and success of the dialogue is measured as the change in the participant’s stance towards those who hold opinions different to theirs. We evaluate two dialogue models: a Wikipedia-based and an argument-based model. We show that while both models perform closely in terms of opening up minds, the argument-based model is significantly better on other dialogue properties such as engagement and clarity.
Anthology ID:
2022.findings-emnlp.335
Volume:
Findings of the Association for Computational Linguistics: EMNLP 2022
Month:
December
Year:
2022
Address:
Abu Dhabi, United Arab Emirates
Editors:
Yoav Goldberg, Zornitsa Kozareva, Yue Zhang
Venue:
Findings
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
4569–4582
Language:
URL:
https://aclanthology.org/2022.findings-emnlp.335
DOI:
10.18653/v1/2022.findings-emnlp.335
Bibkey:
Cite (ACL):
Youmna Farag, Charlotte Brand, Jacopo Amidei, Paul Piwek, Tom Stafford, Svetlana Stoyanchev, and Andreas Vlachos. 2022. Opening up Minds with Argumentative Dialogues. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 4569–4582, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Cite (Informal):
Opening up Minds with Argumentative Dialogues (Farag et al., Findings 2022)
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PDF:
https://preview.aclanthology.org/dois-2013-emnlp/2022.findings-emnlp.335.pdf
Video:
 https://preview.aclanthology.org/dois-2013-emnlp/2022.findings-emnlp.335.mp4