REU Site: Research Experiences for Undergraduates in Disinformation Detection and Analytics
REU Site: Research Experiences for Undergraduates in Disinformation Detection and Analytics
批准号:
2149607
负责人:
Sampath Jayarathna
金额:
$32.4万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-03-01 至 2025-02-28
中文摘要
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英文摘要
This Research Experiences for Undergraduates Site project will engage motivated students in the rapidly growing research area of disinformation detection and analytics. With its focus on identifying disinformation, this program will broaden the views of the students, providing them with a holistic and in-depth understanding of disinformation and its viral spread across the Web. They will leverage knowledge and skills learned to discern and debunk disinformation, which could aid their families, friends, and social media contacts and eventually help prevent disinformation from spreading. Their knowledge and skills will not only prepare students for disinformation-related jobs in research or industry, it will encourage them to pursue graduate study and research in general. This program will also contribute to the development of a diverse, globally competitive workforce by providing research and education opportunities to an economically diverse group of students, including female, underrepresented minorities, first-generation college students, and those from undergraduate institutions who may not have previous exposure to research or graduate school. Students participating in the REU Site project will learn: (1) The concept of disinformation, its types, examples, and active research topics, (2) Mainstream computational methods to detect disinformation on social media, including how to access, clean, preprocess, and visualize data and how to build analytical and predictive models using open source programming tools, (3) Important metrics to evaluate research results, compare baseline models, and produce preliminary results for publication quality research products, and (4) Essential research skills including brainstorming discussion, programming experiments, forensics, trial-and-error, technical writing, and research presentation. Students will conduct hands-on research on topics of their own choosing that fit within faculty members' existing broad disinformation research programs. The goal of this REU Site is to engage participating students in real-world projects studying disinformation from the perspectives of data analytics, information retrieval, applied machine learning, web archiving, and social computing. The participants will learn essential knowledge and skills to support future careers, whether research or application oriented. Co-funding for this project is being provided by the Secure and Trustworthy Cyberspace (SaTC) program and the Cybercorps/Scholarship for Service (SFS) program in recognition of the alignment of this project with the goals of these two programs.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.
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MSVEC:用于科学声明验证的多域测试数据集
DOI:
10.1145/3565287.3617630
发表时间:
2023
期刊:
ACM
影响因子:
--
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DOI:
10.1109/iri58017.2023.00043
发表时间:
2023
期刊:
IEEE
影响因子:
--
作者:
[Pineda, Kayla, Perrotti, Anne M., Poursardar, Faryaneh, Graber, Danielle, Jayarathna, Sampath]
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Jayarathna, Sampath
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DOI:
10.1145/3565287.3617636
发表时间:
2023
期刊:
ACM
影响因子:
--
作者:
[Perrotti, Anne Marie, Puwo, Isabelle, Jayarathna, Sampath]
通讯作者:
Jayarathna, Sampath
Less than 4% of Archived Instagram Account Pages for the Disinformation Dozen are Replayable
少于%20%204%%20of%20已存档%20Instagram%20帐户%20页面%20为%20the%20虚假信息%20Dozen%20为%20可重播
DOI:
10.1109/jcdl57899.2023.00025
发表时间:
2023
期刊:
IEEE
影响因子:
--
作者:
[Bragg, Haley, Jayanetti, Himarsha R., Nelson, Michael L., Weigle, Michele C.]
通讯作者:
Weigle, Michele C.
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海报:利用数据分析和机器学习通过用户元数据模式验证 Yelp 评论
DOI:
10.1145/3565287.3617983
发表时间:
2023
期刊:
ACM
影响因子:
--
作者:
[Richards, Johnovon, Dabhi, Saumya, Poursardar, Faryaneh, Jayarathna, Sampath]
通讯作者:
Jayarathna, Sampath
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