Wisdom of Two Crowds: Misinformation Moderation on Reddit and How to Improve this Process---A Case Study of COVID-19
Wisdom of Two Crowds: Misinformation Moderation on Reddit and How to Improve this Process---A Case Study of COVID-19
复制标题
两群人的智慧:Reddit 上的错误信息审核以及如何改进这一流程——以 COVID-19 为例
DOI:
10.1145/3579631
复制
发表时间:
2023
影响因子:
--
通讯作者:
Budak, Ceren
中科院分区:
文献类型:
--
作者:
Bozarth, Lia;Im, Jane;Quarles, Christopher;Budak, Ceren
Past work has explored various ways for online platforms to leverage crowd wisdom for misinformation detection and moderation. Yet, platforms often relegate governance to their communities, and limited research has been done from the perspective of these communities and their moderators. How is misinformation currently moderated in online communities that are heavily self-governed? What role does the crowd play in this process, and how can this process be improved? In this study, we answer these questions through semi-structured interviews with Reddit moderators. We focus on a case study of COVID-19 misinformation. First, our analysis identifies a general moderation workflow model encompassing various processes participants use for handling COVID-19 misinformation. Further, we show that the moderation workflow revolves around three elements: content facticity, user intent, and perceived harm. Next, our interviews reveal that Reddit moderators rely on two types of crowd wisdom for misinformation detection. Almost all participants are heavily reliant on reports from crowds of ordinary users to identify potential misinformation. A second crowd--participants' own moderation teams and expert moderators of other communities--provide support when participants encounter difficult, ambiguous cases. Finally, we use design probes to better understand how different types of crowd signals---from ordinary users and moderators---readily available on Reddit can assist moderators with identifying misinformation. We observe that nearly half of all participants preferred these cues over labels from expert fact-checkers because these cues can help them discern user intent. Additionally, a quarter of the participants distrust professional fact-checkers, raising important concerns about misinformation moderation.
登录
查看更多内容
DOI:
--
发表时间:
2019
期刊:
Proc. ACM Hum. Comput. Interact.
影响因子:
--
作者:
Shagun Jhaver;A. Bruckman;Eric Gilbert
通讯作者:
Eric Gilbert
影响因子:
8.5
作者:
Charquero-Ballester, Marina;Walter, Jessica G.;Bechmann, Anja
通讯作者:
Bechmann, Anja
DOI:
10.1021/cen-09903-feature1
发表时间:
2021
期刊:
C&EN Global Enterprise
影响因子:
--
作者:
R. Cross
通讯作者:
R. Cross
DOI:
10.2139/ssrn.4007864
发表时间:
2022
期刊:
SSRN Electronic Journal
影响因子:
--
作者:
Waleed Iqbal;Gareth Tyson;Ignacio Castro
通讯作者:
Ignacio Castro
影响因子:
3.7
作者:
J. Jiang;Peipei Nie;Jed R. Brubaker;Casey Fiesler
通讯作者:
Casey Fiesler