CAREER: Transforming Online Scholarly Communication with Networked Crowd Computation

职业：通过网络群体计算改变在线学术交流

• 批准号: 1943506
• 负责人: Emoke-Agnes Horvat
• 金额: $ 54.98万
• 依托单位: Northwestern University
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2020
• 资助国家: 美国
• 起止时间: 2020-04-01 至 2025-03-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1943506&HistoricalAwards=false
• 关键词: CAREER; Transforming; Online; Scholarly; Communication

Online platforms, such as social media and open repositories, increase access to high quality scientific papers, but also challenge users to identify reliable and trustworthy information. Scholars are adopting popular online means for disseminating their work. What can ensure that the highest quality science receives the most attention? This research develops new tools to increase confidence in the quality of the science, to help experts, journalists, and the public. These investigations have the potential to increase the impact of the best scientific research through computationally enhanced article filtering. Integrated educational and outreach objectives include: (1) develop course modules on networks in science communication, for diverse students; (2) conduct workshops for underrepresented minorities in science providing personalized strategies for increasing the online visibility of their scholarship; and (3) webinars to train science journalists to use the new filtering tool.This research investigates how scientific publications spread on online platforms. It will derive measures of how scholars and members of the public share scientific publications. Characteristics of publication-sharing networks will be used to develop novel tools in order to filter papers in the pre-peer review stage. Patterns of uneven coverage of scholarship, not justified by differences in quality, will be identified. To address the inequalities, the project will develop computational tools for improving scientists' dissemination strategies.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.

在线平台，如社交媒体和开放知识库，增加了获得高质量科学论文的机会，但也挑战用户识别可靠和值得信赖的信息。学者们正在采用流行的在线手段来传播他们的工作。什么可以确保最高质量的科学得到最多的关注？这项研究开发了新的工具，以提高对科学质量的信心，帮助专家，记者和公众。这些调查有可能通过计算增强的文章过滤来增加最好的科学研究的影响。综合教育和推广目标包括：（1）为不同的学生开发关于科学传播网络的课程模块;（2）为在科学领域代表性不足的少数群体举办讲习班，提供个性化的策略，以提高他们的奖学金在网上的知名度;（3）举办网络研讨会，培训科学记者使用新的过滤工具。它将得出学者和公众如何分享科学出版物的措施。将利用出版物共享网络的特点开发新的工具，以便在同行审查前阶段过滤文件。将查明奖学金覆盖面不均衡的模式，这种模式不能以质量差异为理由。为了解决这些不平等问题，该项目将开发计算工具，以改善科学家的传播策略。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

Birds of a Feather Flock Together Online: Digital Inequality in Social Media Repertoires

• DOI: 10.1177/20563051211052897
• 发表时间: 2021-10
• 期刊: Social Media + Society
• 作者: Emőke-Ágnes Horvát;E. Hargittai

Information Retention in the Multi-Platform Sharing of Science

科学多平台共享中的信息保留

• 发表时间: 2023
• 期刊: Proceedings of the Seventeenth International AAAI Conference on Web and Social Media
• 作者: Hwang, Sohyeon;Horvat, Emoke-Agnes;Romero, Daniel
• 通讯作者: Romero, Daniel

Gender inequities in the online dissemination of scholars’ work

• DOI: 10.1073/pnas.2102945118
• 发表时间: 2021-09
• 期刊: Proceedings of the National Academy of Sciences
• 作者: Orsolya Vásárhelyi;Igor Zakhlebin;Stasa Milojevic;Emőke-Ágnes Horvát