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FW-HTF-P: Planning to study automation and the future of news production

FW-HTF-P：计划研究自动化和新闻制作的未来

基本信息

批准号：
2026583
负责人：
Kevin Crowston
金额：
$ 13.09万
依托单位：
Syracuse University
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2020
资助国家：
美国
起止时间：
2020-10-01 至 2021-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=2026583&HistoricalAwards=false
关键词：
FW HTF Planning study automation

项目摘要

This planning grant supports multidisciplinary teambuilding and the refinement of a research plan for convergent research on the future of work involving humans and technology. The specific focus is the work of journalists who create articles, videos and other content to inform the public. Journalism has long been affected by new technologies, including printing, internet distribution, and automated curation, in the form of social media news feeds. Emerging artificial intelligence technologies capable of creating texts, statistics, videos, diagrams and data-driven animations are anticipated to further impact the profession. Understanding these impacts is important because journalists perform the socially important function of informing the public about events and activities that affect their decision making. This project convenes an interdisciplinary team of scholars to a develop a proposal for sustained research addressing the future of news production, considering technologies such as natural language processing, crowdsourcing, information visualization, and artificial intelligence, taken broadly. The team members’ backgrounds span a range of disciplinary areas, including information science, computer science, economics, sociology, communications, and design. The planned work includes refining the project vision and theoretical framework, recruiting field sites and an advisory board, conducting pilot research to identify relevant technologies and impacts and planning of convergent research activities. Pilot research will include observation, interviews and focus groups with journalists to understand the impact of current technologies and possibilities for future technologies.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.

该规划补助金支持多学科团队建设和完善研究计划，以实现对涉及人类和技术的未来工作的融合研究。具体重点是记者的工作，他们撰写文章、视频和其他内容，向公众提供信息。新闻业长期以来一直受到新技术的影响，包括印刷，互联网分销和自动化策展，以社交媒体新闻提要的形式。新兴的人工智能技术能够创建文本，统计数据，视频，图表和数据驱动的动画，预计将进一步影响该行业。了解这些影响很重要，因为记者履行着向公众通报影响其决策的事件和活动的重要社会职能。该项目召集了一个跨学科的学者团队，制定了一项针对新闻制作未来的持续研究提案，广泛考虑了自然语言处理，众包，信息可视化和人工智能等技术。团队成员的背景跨越了一系列学科领域，包括信息科学、计算机科学、经济学、社会学、通信和设计。计划的工作包括完善项目愿景和理论框架，招募实地站点和咨询委员会，开展试点研究以确定相关技术和影响，以及规划趋同研究活动。试点研究将包括观察、采访和与记者的焦点小组，以了解当前技术的影响和未来技术的可能性。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。