FW-HTF-RM: Collaborative Research: Augmenting Social Media Content Moderation

FW-HTF-RM：协作研究：增强社交媒体内容审核

基本信息

批准号：
1928627
负责人：
Donghee Yvette Wohn
金额：
$ 84.9万
依托单位：
New Jersey Institute of Technology
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-10-01 至 2024-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1928627&HistoricalAwards=false
关键词：
FW HTF RM Collaborative Research

项目摘要

Around the world, users of social media platforms generate millions of comments, videos, and photos per day. Within this content is dangerous material such as child pornography, sex trafficking, and terrorist propaganda. Though platforms leverage algorithmic systems to facilitate detection and removal of problematic content, decisions about whether to remove content, whether it's as benign as an off-topic comment or as dangerous as self-harm or abuse videos, are often made by humans. Companies are hiring moderators by the thousands and tens of thousands work as volunteer moderators. This work involves economic, emotional, and often physical safety risks. With social media content moderation as the focus of work and the content moderators as the workers, this project facilitates the human-technology partnership by designing new technologies to augment moderator performance. The project will improve moderators' quality of life, augment their capabilities, and help society understand how moderation decisions are made and how to support the workers who help keep the internet open and enjoyable. These advances will enable moderation efforts to keep pace with user-generated content and ensure that problematic content does not overwhelm internet users. The project includes outreach and engagement activities with academic, industry, policy-makers, and the public that ensure the project's findings and tools support broad stakeholders impacted by user-generated content and its moderation.Specifically, the project involves five main research objectives that will be met through qualitative, historical, experimental, and computational research approaches. First, the project will improve understanding of human-in-the-loop decision making practices and mental models of moderation by conducting interviews and observations with moderators across different content domains. Second, it will assess the socioeconomic impact of technology-augmented moderation through industry personnel interviews. Third, the project will test interventions to decrease the emotional toll on human moderators and optimize their performance through a series of experiments utilizing theories of stress alleviation. Fourth, the project will design, develop, and test a suite of cognitive assistance tools for live streaming moderators. These tools will focus on removing easy decisions and helping moderators dynamically manage their emotional and cognitive capabilities. Finally, the project will employ a historical perspective to analyze companies' content moderation policies to inform legal and platform policies.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

在世界范围内，社交媒体平台的用户每天会产生数百万条评论，视频和照片。在此内容中是危险的材料，例如儿童色情，性贩运和恐怖宣传。尽管平台利用算法系统来促进发现和删除有问题的内容，但关于是否删除内容的决定，无论是偏爱的评论，还是像自我伤害或虐待视频一样危险，通常是由人类制定的。公司正在招聘主持人作为志愿者主持人的成千上万工作。这项工作涉及经济，情感和通常的身体安全风险。通过社交媒体内容审核是工作的重点和内容主持人作为工人，该项目通过设计新技术来增强主持人的绩效来促进人类技术合作伙伴关系。该项目将改善主持人的生活质量，增强其能力，并帮助社会了解如何做出节制决策以及如何为帮助保持互联网开放和愉快的工人提供支持。这些进步将使节奏努力与用户生成的内容保持同步，并确保有问题的内容不会压倒互联网用户。该项目包括与学术，行业，政策制定者和公众进行的外展和参与活动，以确保项目的发现和工具支持受用户生成的内容及其适应性影响的广泛利益相关者。特别是，该项目涉及五个主要的研究目标，这些目标将通过质量，历史，实验性，实验性和计算研究方法来实现。首先，该项目将通过对不同内容领域的主持人进行访谈和观察来提高人们对人类决策实践和适度心理模型的理解。其次，它将通过行业人员访谈评估技术调节的社会经济影响。第三，该项目将测试干预措施，以减少人类主持人的情绪损失，并通过使用压力缓解理论进行一系列实验来优化其表现。第四，该项目将设计，开发和测试一套实时流媒体主持人的认知援助工具。这些工具将着重于消除简单的决策，并帮助主持人动态管理其情感和认知能力。最后，该项目将采用历史观点来分析公司的内容审核政策，以告知法律和平台政策。该奖项反映了NSF的法定任务，并使用基金会的知识分子优点和更广泛的影响审查标准，认为值得通过评估来获得支持。

项目成果

期刊论文数量（16）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

User Opinions on Effective Strategies Against Social Media Toxicity

用户对针对社交媒体毒性的有效策略的看法

DOI：
10.24251/hicss.2021.366
发表时间：
2021
期刊：
Proceedings of the Annual Hawaii International Conference on System Sciences
影响因子：
0
作者：
Patel, Aashka;Cook, Christine L.;Wohn, Donghee Yvette
通讯作者：
Wohn, Donghee Yvette

Categorizing Online Harassment Interventions

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