EMNLP 2022finding1 citations

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.

BibTeX
@inproceedings{manzoor-etal-2022-status,
    title = "Status Biases in Deliberation Online: Evidence from a Randomized Experiment on {C}hange{M}y{V}iew",
    author = "Manzoor, Emaad  and
      Jo, Yohan  and
      Montgomery, Alan",
    editor = "Goldberg, Yoav  and
      Kozareva, Zornitsa  and
      Zhang, Yue",
    booktitle = "Findings of the Association for Computational Linguistics: EMNLP 2022",
    month = dec,
    year = "2022",
    address = "Abu Dhabi, United Arab Emirates",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2022.findings-emnlp.474/",
    doi = "10.18653/v1/2022.findings-emnlp.474",
    pages = "6351--6363"
}
Status Biases in Deliberation Online: Evidence from a Randomized Experiment on ChangeMyView · EMNLP 2022