Post Guidance for Online Communities
- URL: http://arxiv.org/abs/2411.16814v1
- Date: Mon, 25 Nov 2024 15:32:46 GMT
- Title: Post Guidance for Online Communities
- Authors: Manoel Horta Ribeiro, Robert West, Ryan Lewis, Sanjay Kairam,
- Abstract summary: Post guidance guides users' contributions using rules that trigger interventions as users draft a post to be submitted.
This uniquely community-specific, proactive, and user-centric approach can increase adherence to rules without imposing additional burdens on moderators.
- Score: 11.475519304748891
- License:
- Abstract: Effective content moderation in online communities is often a delicate balance between maintaining content quality and fostering user participation. In this paper, we introduce post guidance, a novel approach to community moderation that proactively guides users' contributions using rules that trigger interventions as users draft a post to be submitted. For instance, rules can surface messages to users, prevent post submissions, or flag posted content for review. This uniquely community-specific, proactive, and user-centric approach can increase adherence to rules without imposing additional burdens on moderators. We evaluate a version of Post Guidance implemented on Reddit, which enables the creation of rules based on both post content and account characteristics, via a large randomized experiment, capturing activity from 97,616 posters in 33 subreddits over 63 days. We find that Post Guidance (1) increased the number of ``successful posts'' (posts not removed after 72 hours), (2) decreased moderators' workload in terms of manually-reviewed reports, (3) increased contribution quality, as measured by community engagement, and (4) had no impact on posters' own subsequent activity, within communities adopting the feature. Post Guidance on Reddit was similarly effective for community veterans and newcomers, with greater benefits in communities that used the feature more extensively. Our findings indicate that post guidance represents a transformative approach to content moderation, embodying a paradigm that can be easily adapted to other platforms to improve online communities across the Web.
Related papers
- Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster [72.84926097773578]
We investigate the effect of explanations on the speed of real-world moderators.
Our experiments show that while generic explanations do not affect their speed and are often ignored, structured explanations lower moderators' decision making time by 7.4%.
arXiv Detail & Related papers (2024-06-06T14:23:10Z) - Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content [66.71102704873185]
We test for user strategization by conducting a lab experiment and survey.
We find strong evidence of strategization across outcome metrics, including participants' dwell time and use of "likes"
Our findings suggest that platforms cannot ignore the effect of their algorithms on user behavior.
arXiv Detail & Related papers (2024-05-09T07:36:08Z) - User Welfare Optimization in Recommender Systems with Competing Content Creators [65.25721571688369]
In this study, we perform system-side user welfare optimization under a competitive game setting among content creators.
We propose an algorithmic solution for the platform, which dynamically computes a sequence of weights for each user based on their satisfaction of the recommended content.
These weights are then utilized to design mechanisms that adjust the recommendation policy or the post-recommendation rewards, thereby influencing creators' content production strategies.
arXiv Detail & Related papers (2024-04-28T21:09:52Z) - Perceptions of Moderators as a Large-Scale Measure of Online Community Governance [13.80648276848838]
We label 1.89 million posts and comments made on reddit over an 18 month period.
We identify types of communities where moderators are perceived particularly positively and negatively.
We show that strict rule enforcement is linked to more favorable perceptions of moderators of communities dedicated to certain topics, such as news communities, than others.
arXiv Detail & Related papers (2024-01-29T22:43:12Z) - Analyzing Norm Violations in Live-Stream Chat [49.120561596550395]
We study the first NLP study dedicated to detecting norm violations in conversations on live-streaming platforms.
We define norm violation categories in live-stream chats and annotate 4,583 moderated comments from Twitch.
Our results show that appropriate contextual information can boost moderation performance by 35%.
arXiv Detail & Related papers (2023-05-18T05:58:27Z) - AppealMod: Inducing Friction to Reduce Moderator Workload of Handling
User Appeals [7.898353262890439]
We designed and built AppealMod, a system that induces friction in the appeals process by asking users to provide additional information before their appeals are reviewed by human moderators.
We conducted a randomized field experiment in a Reddit community of over 29 million users that lasted for four months.
Our system is effective at reducing moderator workload and minimizing their exposure to toxic content while honoring their preference for direct engagement and agency in appeals.
arXiv Detail & Related papers (2023-01-17T20:15:20Z) - Automated Content Moderation Increases Adherence to Community Guidelines [16.69856781183336]
We used a fuzzy regression discontinuity design to measure the impact of automated content moderation on subsequent rule-breaking behavior.
We found that comment deletion decreased subsequent rule-breaking behavior in shorter threads.
Our results suggest that automated content moderation increases adherence to community guidelines.
arXiv Detail & Related papers (2022-10-19T10:41:03Z) - One of Many: Assessing User-level Effects of Moderation Interventions on
r/The_Donald [1.1041211464412573]
We evaluate the user level effects of the sequence of moderation interventions that targeted r/The_Donald on Reddit.
We find that interventions having strong community level effects also cause extreme and diversified user level reactions.
Our results highlight that platform and community level effects are not always representative of the underlying behavior of individuals or smaller user groups.
arXiv Detail & Related papers (2022-09-19T07:46:18Z) - Governing for Free: Rule Process Effects on Reddit Moderator Motivations [0.0]
The over 2.8 million "subreddit" communities on Reddit are governed by hundreds of thousands of volunteer moderators, many of whom have no training or prior experience in a governing role.
While moderators often devote daily time to community maintenance and cope with the emotional effects of hate comments or disturbing content, Reddit provides no compensation for this position.
We investigate how the processes through which subreddit moderators generate community rules increase moderators' motivation through the meeting of social-psychological needs: Procedural Justice and Self Determination, and Self-Other Merging.
arXiv Detail & Related papers (2022-06-11T23:23:38Z) - News consumption and social media regulations policy [70.31753171707005]
We analyze two social media that enforced opposite moderation methods, Twitter and Gab, to assess the interplay between news consumption and content regulation.
Our results show that the presence of moderation pursued by Twitter produces a significant reduction of questionable content.
The lack of clear regulation on Gab results in the tendency of the user to engage with both types of content, showing a slight preference for the questionable ones which may account for a dissing/endorsement behavior.
arXiv Detail & Related papers (2021-06-07T19:26:32Z) - Information Consumption and Social Response in a Segregated Environment:
the Case of Gab [74.5095691235917]
This work provides a characterization of the interaction patterns within Gab around the COVID-19 topic.
We find that there are no strong statistical differences in the social response to questionable and reliable content.
Our results provide insights toward the understanding of coordinated inauthentic behavior and on the early-warning of information operation.
arXiv Detail & Related papers (2020-06-03T11:34:25Z)
This list is automatically generated from the titles and abstracts of the papers in this site.
This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.