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Towards Breaking the Self-imposed Filter Bubble in Argumentative Dialogues
Aicher, Annalena; Kornmueller, Daniel; Matsuda, Yuki; u. a. (2023): Towards Breaking the Self-imposed Filter Bubble in Argumentative Dialogues, in: Svetlana Stoyanchev, Shafiq Joty, David Schlangen, u. a. (Hrsg.), Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue, Prague, Czechia: Association for Computational Linguistics, S. 593–604, doi: 10.18653/v1/2023.sigdial-1.56.
Faculty/Chair:
Title of the compilation:
Proceedings of the 24th Meeting of the Special Interest Group on Discourse and Dialogue
Editors:
Conference:
24th Meeting of the Special Interest Group on Discourse and Dialogue ; Prague, Czechia
Publisher Information:
Year of publication:
2023
Pages:
Language:
English
Abstract:
Human users tend to selectively ignore information that contradicts their pre-existing beliefs or opinions in their process of information seeking. These “self-imposed filter bubbles” (SFB) pose a significant challenge for cooperative argumentative dialogue systems aiming to build an unbiased opinion and a better understanding of the topic at hand. To address this issue, we develop a strategy for overcoming users’ SFB within the course of the interaction. By continuously modeling the user’s position in relation to the SFB, we are able to identify the respective arguments which maximize the probability to get outside the SFB and present them to the user. We implemented this approach in an argumentative dialogue system and evaluated in a laboratory user study with 60 participants to show its validity and applicability. The findings suggest that the strategy was successful in breaking users’ SFBs and promoting a more reflective and comprehensive discussion of the topic.
GND Keywords: ; ;
Blase
Selbstbild
Dialogsystem
Keywords:
Self-imposed Filter Bubble
DDC Classification:
RVK Classification:
Peer Reviewed:
Yes:
International Distribution:
Yes:
Open Access Journal:
Yes:
Type:
Conferenceobject
Activation date:
November 30, 2023
Versioning
Question on publication
Permalink
https://fis.uni-bamberg.de/handle/uniba/91881