Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView

Emaad Manzoor, Yohan Jo, Alan Montgomery


Abstract
Status is widely used to incentivize user engagement online. However, visible status indicators could inadvertently bias online deliberation to favor high-status users. In this work, we design and deploy a randomized experiment on the ChangeMyView platform to quantify status biases in deliberation online. We find strong evidence of status bias: hiding status on ChangeMyView increases the persuasion rate of moderate-status users by 84% and decreases the persuasion rate of high-status users by 41% relative to the control group. We also find that the persuasive power of status is moderated by verbosity, suggesting that status is used as an information-processing heuristic under cognitive load. Finally, we find that a user’s status influences the argumentation behavior of other users they interact with in a manner that disadvantages low and moderate-status users.
Anthology ID:
2022.findings-emnlp.474
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:
6351–6363
Language:
URL:
https://aclanthology.org/2022.findings-emnlp.474
DOI:
10.18653/v1/2022.findings-emnlp.474
Bibkey:
Cite (ACL):
Emaad Manzoor, Yohan Jo, and Alan Montgomery. 2022. Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 6351–6363, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics.
Cite (Informal):
Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView (Manzoor et al., Findings 2022)
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PDF:
https://aclanthology.org/2022.findings-emnlp.474.pdf