农业和自然资源科学家使用Twitter吸引公众受众的试点定性案例研究

J. Loizzo, Catherine Jones, A. Steffen
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引用次数: 2

摘要

科学家们经常被要求与各种受众广泛分享他们的专业知识和研究成果,而不仅仅是他们所在学科的典型学术界。这可能包括制定社区参与计划、学校外联、利用在线社交网络和其他活动。本研究的目的是考察美国农业和自然资源(ANR)科学家的典型科学交流渠道,以及他们利用推特分享知识、研究和参与在线公共科学讨论的经验。创新扩散理论和科学的影响力与外延模型指导了这项研究。研究人员采用了定性案例研究设计。数据收集包括ANR科学家访谈(n=8)和应用基于互联网的研究方法来观察科学家的推特活动。数据中出现了四个主题:1)学术期刊和会议是科学家的典型沟通渠道,但推广工作有助于扩大受众;2)科学家希望研究在公开传播之前经过同行评审,以打击“垃圾科学”的错误信息和传播;3)科学家在专业性、个性化、推广,这位科学家发现,使用推特的障碍包括缺乏时间和避免激烈讨论。建议包括重新审视科学家的工作描述和对在线科学参与的期望。此外,应不断开发和实施针对最佳推特实践的科学家科学交流培训,在学术同事和团体之外增加追随者,使用视觉效果进行在线参与,有意安排社交媒体,以及如何有效地引导激烈的在线讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Pilot Qualitative Case Study of Agricultural and Natural Resources Scientists’ Twitter Usage for Engaging Public Audiences
Scientists are frequently asked to broadly share their expertise and research with a variety of audiences, beyond typical academic circles in their home disciplines. That could include developing community engagement programs, school outreach, leveraging online social networks, and other activities. The purpose of this study was to examine U.S. agricultural and natural resources (ANR) scientists’ typical science communication channels, their experiences utilizing Twitter for sharing their knowledge, research, and engaging in online public science discussion. Diffusion of Innovations theory and the model of science in-reach versus outreach guided this study. Researchers used a qualitative case study design. Data collection included ANR scientist interviews (n = 8) and application of Internet-based research methods for observing scientists’ Twitter activities. Four themes emerged from the data: 1) academic journals and conferences as scientists’ typical communication channels, yet Extension efforts help to broaden audiences, 2) scientists expected research to be peer-reviewed before public dissemination to combat misinformation and spreading of ‘junk science’, 3) scientists balanced professionalism, personalization, promotion, and Twitter hashtags for engagement, and 4) scientist-identified barriers to using Twitter included lack of time and avoiding heated discussions. Recommendations include revisiting scientists’ job descriptions and expectations for online science engagement. Also, there should be continual development and implementation of science communication training for scientists targeting best Twitter practices, growing followers for outreach beyond academic colleagues and groups, using visuals for online engagement, intentional scheduling for social media, and how to effectively navigate heated online discussions.
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