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Towards Healthy Engagement with Online Debates: An Investigation of Debate Summaries and Personalized Persuasive Suggestions

Published: 04 July 2022 Publication History

Abstract

Online debates allow for large-scale participation by users with different opinions, values, and backgrounds. While this is beneficial for democratic discourse, such debates often tend to be cognitively demanding due to the high quantity and low quality of non-expert contributions. High cognitive demand, in turn, can make users vulnerable to cognitive biases such as confirmation bias, hindering well-informed attitude forming. To facilitate interaction with online debates, counter confirmation bias, and nudge users towards engagement with online debate, we propose (1) summaries of the arguments made in the debate and (2) personalized persuasive suggestions to motivate users to engage with the debate summaries. We tested the effect of four different versions of the debate display (without summary, with summary and neutral suggestion, with summary and personalized persuasive suggestion, with summary and random persuasive suggestion) on participants’ attitude-opposing argument recall with a preregistered user study (N = 212). The user study results show no evidence for an effect of either the summary or the personalized persuasive suggestions on participants’ attitude-opposing argument recall. Further, we did not observe confirmation bias in participants’ argument recall, regardless of the debate display. We discuss these observations in light of additionally collected exploratory data, which provides some pointers towards possible causes for the lack of significant findings. Motivated by these considerations, we propose two new hypotheses and ideas for improving relevant properties of the study design for follow-up studies.

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Cited By

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  • (2024)Identity Construction in Some Selected Online Debates: A Conversational AnalysisInternational Journal of Applied and Structural Mechanics10.55529/ijasm.43.1.11Online publication date: 13-Apr-2024
  • (2024)Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. ManipulationACM Transactions on the Web10.1145/363503418:2(1-27)Online publication date: 12-Mar-2024
  • (2023)Data-driven digital nudging: a systematic literature review and future agendaBehaviour & Information Technology10.1080/0144929X.2023.228653543:15(3834-3862)Online publication date: 29-Nov-2023

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cover image ACM Conferences
UMAP '22 Adjunct: Adjunct Proceedings of the 30th ACM Conference on User Modeling, Adaptation and Personalization
July 2022
409 pages
ISBN:9781450392327
DOI:10.1145/3511047
This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 04 July 2022

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View all
  • (2024)Identity Construction in Some Selected Online Debates: A Conversational AnalysisInternational Journal of Applied and Structural Mechanics10.55529/ijasm.43.1.11Online publication date: 13-Apr-2024
  • (2024)Nudges to Mitigate Confirmation Bias during Web Search on Debated Topics: Support vs. ManipulationACM Transactions on the Web10.1145/363503418:2(1-27)Online publication date: 12-Mar-2024
  • (2023)Data-driven digital nudging: a systematic literature review and future agendaBehaviour & Information Technology10.1080/0144929X.2023.228653543:15(3834-3862)Online publication date: 29-Nov-2023

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