CAREER: Tools for User and Community-Led Social Media Curation
职业:用户和社区主导的社交媒体管理工具
基本信息
- 批准号:2236618
- 负责人:
- 金额:$ 61.28万
- 依托单位:
- 依托单位国家:美国
- 项目类别:Continuing Grant
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2028-08-31
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
This research will develop tools that can empower everyday users and communities to customize the algorithms and interfaces underpinning their online social environments. A large fraction of our society now engages in social activity online on a regular basis, but the current centralization and homogenization of social activity onto platforms that provide only a small number of possible configurations is counter to enabling an inclusive society. People who do not conform to the majority must struggle against configurations that were not built with them in mind. For instance, users from marginalized backgrounds must contend with platform-wide content filters that cannot discriminate between harassing and non-harassing content targeted at them, while neurodiverse users have trouble retaining control over their social media usage. This research will have a significant impact on the social computing industry, and consequently, it will benefit millions of users on these platforms. The education and outreach plan will help future computer scientists to realize the social ramifications of the applications they build and engage students and the public in imagining alternative social media designs that improve society.To achieve the goal of furthering inclusivity on these social platforms, this research will focus on learning from and designing for those who face the greatest challenges and barriers from current social media designs, such as journalists and content creators, neurodiverse users, and marginalized individuals who often face harassment. It will then develop new strategies to lower barriers for users to participate in social curation, so that anyone who does not have technical skills or lots of time to dedicate can still benefit. Empirically, this research will use a mixed-methods approach to gather a large dataset of curations that marginalized users would like to have for their social environment. It will make technical contributions through the building of novel techniques and collaborative systems that implement ways for users to perform desired curations using minimal effort or technical skills. In particular, it will investigate novel user affordances that embed small curation tasks into a user's everyday experience on social media, as well as collaborative models that allow groups of people to share or collectively build up custom configurations. Finally, it will build and release a flexible research toolkit that embeds the findings from the empirical work.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.
这项研究将开发工具,使日常用户和社区能够定制支撑其在线社交环境的算法和界面。我们社会中的很大一部分人现在定期在线参与社交活动,但目前社交活动在平台上的集中化和同质化只提供少量可能的配置,这与实现包容性社会背道而驰。不符合大多数人的人必须与那些没有考虑到他们的配置作斗争。例如,来自边缘化背景的用户必须与无法区分针对他们的骚扰和非骚扰内容的平台范围内的内容过滤器作斗争,而神经多样性用户则难以控制他们的社交媒体使用。这项研究将对社交计算行业产生重大影响,因此,它将使这些平台上的数百万用户受益。教育和推广计划将帮助未来的计算机科学家认识到他们构建的应用程序的社会影响,并让学生和公众参与想象改善社会的替代社交媒体设计。为了实现在这些社交平台上进一步包容的目标,这项研究将专注于向那些面临当前社交媒体设计最大挑战和障碍的人学习和设计,例如记者和内容创作者、神经多样性用户以及经常面临骚扰的边缘化个人。然后,它将制定新的策略,降低用户参与社交策展的障碍,以便任何没有技术技能或没有大量时间投入的人仍然可以受益。从经验上讲,这项研究将使用混合方法来收集边缘化用户希望为其社会环境提供的大型策展数据集。它将通过构建新颖的技术和协作系统来做出技术贡献,这些系统将为用户提供使用最小努力或技术技能执行所需策展的方法。特别是,它将研究新的用户启示,将小型策展任务嵌入到用户在社交媒体上的日常体验中,以及允许多组人共享或集体建立自定义配置的协作模型。最后,它将构建并发布一个灵活的研究工具包,其中嵌入了实证工作的发现。该奖项反映了NSF的法定使命,并通过使用基金会的知识价值和更广泛的影响审查标准进行评估,被认为值得支持。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Amy Zhang其他文献
Intervention Design for Effective Sim2Real Transfer
有效 Sim2Real 传输的干预设计
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:0
- 作者:
Melissa Mozifian;Amy Zhang;Joelle Pineau;D. Meger - 通讯作者:
D. Meger
Learning Action-based Representations Using Invariance
使用不变性学习基于动作的表示
- DOI:
10.48550/arxiv.2403.16369 - 发表时间:
2024 - 期刊:
- 影响因子:0
- 作者:
Max Rudolph;Caleb Chuck;Kevin Black;Misha Lvovsky;S. Niekum;Amy Zhang - 通讯作者:
Amy Zhang
Discovery of Insulin Receptor Partial Agonists MK-5160 and MK-1092 as Novel Basal Insulins with Potential to Improve Therapeutic Index.
发现胰岛素受体部分激动剂 MK-5160 和 MK-1092 作为具有提高治疗指数潜力的新型基础胰岛素。
- DOI:
10.1021/acs.jmedchem.1c02073 - 发表时间:
2022 - 期刊:
- 影响因子:7.3
- 作者:
Dmitri A Pissarnitski;A. Kekeç;Lin Yan;Yuping Zhu;D. Feng;Pei Huo;Christina B. Madsen;C. Moyes;R. Nargund;Theresa Kelly;Xiaoping Zhang;E. Carballo;Judith N. Gorski;Peter T. Zafian;Mo Qatanani;N. Kaarsholm;Fanyu Meng;X. Jia;Keun;Weixun Wang;Sherrie Xu;Michael J. Hohn;M. Iammarino;M. Mccoy;Grace A Okoh;Yingkai Liang;S. Hollingsworth;M. Erion;D. Kelley;R. Garbaccio;Amy Zhang;J. Mu;Songnian Lin - 通讯作者:
Songnian Lin
The scope of tobacco cessation randomized controlled trials in low- to middle-income countries: protocol for a scoping review
中低收入国家戒烟随机对照试验的范围:范围界定审查方案
- DOI:
- 发表时间:
2020 - 期刊:
- 影响因子:3.7
- 作者:
Navin Kumar;Jessica Ainooson;A. Billings;Grace Q. Chen;Lauren Cueto;Kamila Janmohamed;Jeannette Jiang;R. Niaura;Amy Zhang - 通讯作者:
Amy Zhang
The Impact of Inotuzumab Ozogamicin (InO) Treatment on Brexucabtagene Autoleucel (Brexu-cel) Outcomes in Adults with Relapsed/Refractory B-Cell Acute Lymphoblastic Leukemia (B-ALL)
- DOI:
10.1182/blood-2023-182404 - 发表时间:
2023-11-02 - 期刊:
- 影响因子:
- 作者:
Ibrahim Aldoss;Gregory W Roloff;Anjali S. Advani;Noam E. Kopmar;Chenyu Lin;Simone E. Dekker;Vishal K Gupta;Nikeshan Jeyakumar;Timothy E O'Connor;Amy Zhang;Katharine Miller;Kaitlyn C Dykes;Mohamed Ahmed;Hector Zambrano;Danielle Bradshaw;Santiago Mercadal;Marc Schwartz;Sean Tracy;Bhagirathbhai Dholaria;Michal Kubiak - 通讯作者:
Michal Kubiak
Amy Zhang的其他文献
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{{ truncateString('Amy Zhang', 18)}}的其他基金
CAREER: Dual Reinforcement Learning: A Unifying Framework with Guarantees
职业:双重强化学习:有保证的统一框架
- 批准号:
2340651 - 财政年份:2024
- 资助金额:
$ 61.28万 - 项目类别:
Continuing Grant
Collaborative Research: DASS: Transitioning open-source software projects to accountable community governance
合作研究:DASS:将开源软件项目转变为负责任的社区治理
- 批准号:
2217653 - 财政年份:2022
- 资助金额:
$ 61.28万 - 项目类别:
Standard Grant
Collaborative Research: SaTC: CORE: Large: Privacy-Preserving Abuse Prevention for Encrypted Communications Platforms
协作研究:SaTC:核心:大型:加密通信平台的隐私保护滥用预防
- 批准号:
2120497 - 财政年份:2021
- 资助金额:
$ 61.28万 - 项目类别:
Continuing Grant
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