CAREER: Fostering Prosocial Behavior and Well-Being in Online Communities
CAREER: Fostering Prosocial Behavior and Well-Being in Online Communities
批准号:
2143529
负责人:
David Jurgens
金额:
$58.14万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2022
资助国家:
美国
项目状态:
未结题
起止时间:
2022-10-01 至 2027-09-30
中文摘要
点击翻译按钮获取中文摘要
英文摘要
This award is funded in part under the American Rescue Plan Act of 2021 (Public Law 117-2).Social media platforms are a common part of daily life that connect people and aid in sharing information. While society has learned how these platforms can negatively impact individuals, little is known comparatively about how our interactions on the platforms benefit us and how to encourage positive behaviors of people on these platforms. Being able to measure the potential benefits of social media can help understand its cumulative effects on people and help identify both ways individuals can change their own behavior and inform the design of social media platforms themselves. This project aims to develop computational tools to identify and measure a variety of ways in which positive behaviors such as compassion or empathy occur online. This research will study the effects of experiencing positive and negative behaviors in social media on people’s psychological well-being to create a holistic picture of social media’s impact. Furthermore, the project will identify strategies for how to phrase positive reinforcement and develop tools to support individuals in behaving positively, both of which should encourage future positive behavior in social media. The project team will also release educational material, courses, and videos for the public and students at multiple levels, as well as provide practical and informative public-facing tools that educate people about the impact of social media on well-being at a personal level.This project studies prosocial behavior in social media and quantifies the impact of interactions, content, and interventions there on specific dimensions of psychological well-being. To accomplish this goal, the project will develop datasets, models, and technologies to identify and encourage positive behaviors. The computational techniques will combine insights from natural language processing and computational social science to recognize subtle social signals in language, which will enable moving from just understanding the meaning of a text to understanding the text’s effects on the audience. The project will address three core technical challenges: (1) recognizing prosocial behavior in online spaces in ways that are sensitive to the norms of the community; (2) quantifying the impact of social media interactions and content on dimensions of psychological well-being and developing computational methods for analyzing this impact at scale; and (3) creating proactive technologies that promote prosocial behavior via behavioral nudges and tools to help people write more prosocially.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(5)
专著(0)
科研奖励(0)
会议论文
登录
查看更多内容
Exploring Linguistic Style Matching in Online Communities: The Role of Social Context and Conversation Dynamics
探索在线社区中的语言风格匹配:社会背景和对话动态的作用
DOI:
10.18653/v1/2023.sicon-1.7
发表时间:
2023
期刊:
Proceedings of the First Workshop on Social Influence in Conversations (SICon 2023
影响因子:
--
作者:
[Ananthasubramaniam, Aparna, Chen, Hong, Yan, Jason, Alkiek, Kenan, Pei, Jiaxin, Seth, Agrima, Dunagan, Lavinia, Choi, Minje, Litterer, Benjamin, Jurgens, David]
通讯作者:
Jurgens, David
Analyzing the Engagement of Social Relationships during Life Event Shocks in Social Media
分析社交媒体中生活事件冲击期间社会关系的参与度
DOI:
10.1609/icwsm.v17i1.22134
发表时间:
2023
期刊:
Proceedings of the International AAAI Conference on Web and Social Media
影响因子:
--
作者:
[Choi, Minje, Jurgens, David, Romero, Daniel M.]
通讯作者:
Romero, Daniel M.
SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis
SemEval-2023 任务 9:多语言推文亲密度分析
DOI:
10.18653/v1/2023.semeval-1.309
发表时间:
2023
期刊:
Proceedings of the 17th International Workshop on Semantic Evaluation (SemEval-2023
影响因子:
--
作者:
[Pei, Jiaxin, Silva, Vítor, Bos, Maarten, Liu, Yozen, Neves, Leonardo, Jurgens, David, Barbieri, Francesco]
通讯作者:
Barbieri, Francesco
When Do Annotator Demographics Matter? Measuring the Influence of Annotator Demographics with the POPQUORN Dataset
注释者人口统计数据何时重要?
DOI:
10.18653/v1/2023.law-1.25
发表时间:
2023
期刊:
Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII
影响因子:
--
作者:
[Pei, Jiaxin, Jurgens, David]
通讯作者:
Jurgens, David
CHS: Small: The Ties that Relate Us: Modeling the Impact of Relationships on Social Contagion and Network Dynamics
-
批准号:2007251
-
项目类别:Standard Grant
-
资助金额:$49.99万
-
财政年份:2020
-
负责人:David Jurgens
-
依托单位:
CRII: RI: Explainable Recognition of Social Relationships from People's Linguistic Interactions
-
批准号:1850221
-
项目类别:Standard Grant
-
资助金额:$17.5万
-
财政年份:2019
-
负责人:David Jurgens
-
依托单位:
海外基金