课题基金 / 基金详情

RAPID: SaTC: CORE: Monitoring Social Media for Devising Improved Safeguards Online

RAPID: SaTC: CORE: Monitoring Social Media for Devising Improved Safeguards Online
RAPID:SaTC:核心:监控社交媒体以制定改进的在线保障措施
批准号:
2309318
负责人:
Shirin Nilizadeh
金额:
$20.0万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2023
资助国家:
美国
项目状态:
已结题
起止时间:
2023-01-15 至 2024-12-31

项目摘要

项目成果

Shirin Nilizadeh的其他基金

相似基金

相关文献

中文摘要
翻译
点击翻译按钮获取中文摘要
英文摘要
Online social networking fosters interaction, collaboration, and contribution. The interactions among interconnected, communicating individuals facilitate collective intelligence, especially when people are engaged in a common goal or a shared practice. Recently, due to the tremendous increase in online attacks, there has been a substantial increase in both English and non-English social media posts in which people discuss the use of various safeguards to help protect their online security, privacy, and safety. This project is developing a framework and approach for capturing the emerging collective intelligence shared among groups of individuals who utilize social media platforms and who seek to use and follow safeguards to improve their online security, privacy, and safety. Studying these discussions will increase our understanding of people’s security and privacy needs, detect the practical challenges and limitations of available safeguards, and shed light on the future direction of online security and privacy research. This project will develop a social monitoring framework and approach for detecting, collecting, and categorizing English and non-English social media posts and conversations around emerging security vulnerabilities, privacy threats, and discussions of safeguards for protecting people's security, privacy, and safety. The project will also advance existing information retrieval and natural language processing methods, including deep learning-based classifiers, sentiment, stance, and summarization in order to extract knowledge from English and non-English posts. The data and information obtained from this study will be highly valuable to researchers trying to design effective, usable, secure, and privacy-preserving methods and tools, companies and service providers developing additional safeguard features, and Internet users seeking to protect their online security and privacy.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.
期刊论文(1)
专著(0)
科研奖励(0)
会议论文
DOI: 10.1109/eurosp57164.2023.00056
发表时间: 2022-06
期刊: 2023 IEEE 8th European Symposium on Security and Privacy (EuroS&P)
影响因子: --
作者: [Mohit Singhal;Chen Ling;Nihal Kumarswamy;G. Stringhini;Shirin Nilizadeh]
通讯作者: Mohit Singhal;Chen Ling;Nihal Kumarswamy;G. Stringhini;Shirin Nilizadeh
CAREER: Advancing Adversarial Robustness of Natural Language Generation Systems
  • 批准号:
    2239646
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $56.76万
  • 财政年份:
    2023
  • 负责人:
    Shirin Nilizadeh
  • 依托单位:
海外基金