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

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,可以增强日常用户和社区的能力,以自定义其在线社交环境的算法和接口。现在,我们社会的很大一部分是定期在线从事社交活动,但是当前的社会活动集中化和在平台上的同质化仅提供少量可能的配置与实现包容性的社会相抵触。不符合大多数人的人必须与未构建的配置作斗争。例如,来自边缘化背景的用户必须与无法区分骚扰和针对其目标的非骚扰内容的平台内容过滤器抗衡,而神经多样性用户则难以保留对其社交媒体使用的控制权。这项研究将对社会计算行业产生重大影响,因此,它将使这些平台上数百万用户受益。教育和宣传计划将帮助未来的计算机科学家实现他们建立并吸引学生和公众的应用程序的社会影响,以想象改善社会的替代社交媒体设计,以实现对这些社交平台增强包容性的目标,这项研究将着重于学习并为那些面对当前社交媒体设计的人,例如,与当前的社交媒体设计的人,neurod and Neurod的最大挑战和障碍,以实现新闻和障碍。骚扰。然后,它将制定新的策略,以降低用户参加社交策划的障碍,以便任何没有技术技能或大量时间专门工作的人仍然可以受益。从经验上讲,这项研究将采用混合方法来收集大量的策展数据集,边缘化用户希望为其社交环境提供这些方法。它将通过建立新型技术和协作系统来做出技术贡献,这些技术和协作系统可以实现用户使用最低限度的努力或技术技能来执行所需策划的方法。特别是,它将调查新颖的用户提供的功能,这些用户提供将小型策划任务嵌入到社交媒体上的用户日常体验中,以及使人们可以共享或集体建立自定义配置的协作模型。最后,它将建立和发布一个灵活的研究工具包,该工具包嵌入了经验工作中的发现。该奖项反映了NSF的法定任务,并被认为是值得通过基金会的知识分子优点和更广泛的影响评估标准通过评估来获得支持的。

项目成果

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Amy Zhang其他文献

Preliminary mapping of HopZ1b resistance-associated loci in Arabidopsis thaliana via EMS and ecotype screens
  • DOI:
  • 发表时间:
    2016-11
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Amy Zhang
  • 通讯作者:
    Amy Zhang
A review of principles in design and usability testing of tactile technology for individuals with visual impairments
视觉障碍人士触觉技术的设计和可用性测试原则回顾
  • DOI:
    10.1080/10400435.2016.1176083
  • 发表时间:
    2017
  • 期刊:
  • 影响因子:
    1.8
  • 作者:
    Emily L. Horton;R. Renganathan;Bryan N. Toth;Alexa J. Cohen;Andrea V. Bajcsy;A. Bateman;Mathew C. Jennings;Anish Khattar;Ryan S. Kuo;Felix A. Lee;Meilin K. Lim;Laura W. Migasiuk;Amy Zhang;Oliver K. Zhao;Márcio A. Oliveira
  • 通讯作者:
    Márcio A. Oliveira
A Deep Learning Approach to Population Based COVID-19 Case Prediction in the US
美国基于人群的 COVID-19 病例预测的深度学习方法
  • DOI:
  • 发表时间:
    2021
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Sameer Sundrani;Amy Zhang
  • 通讯作者:
    Amy Zhang
Visual outcomes of combined cataract and minimally invasive glaucoma surgery.
白内障和微创青光眼联合手术的视力结果。
  • DOI:
  • 发表时间:
    2020
  • 期刊:
  • 影响因子:
    2.8
  • 作者:
    S. Sarkisian;N. Radcliffe;P. Harasymowycz;S. Vold;Thomas D. Patrianakos;Amy Zhang;L. Herndon;J. Brubaker;M. Moster;Brian A. Francis
  • 通讯作者:
    Brian A. Francis
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

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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预测 PICU 中不存在严重细菌感染
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