22 pages., via online journal., 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.
21pgs, Gene-editing provides an opportunity to address the significant challenges of population growth and climate change that impact food production. Given the important role of gene-editing in our food system, exploring opportunities to persuade public acceptance of the technology is needed. The purpose of this study was to investigate persuasive effects of metaphorical concepts regarding gene-editing in agriculture. The Elaboration Likelihood Model was used as the conceptual framework. Metaphors stand to influence public acceptance because metaphors encourage issue-relevant thinking and enhance persuasion. A quantitative, randomized, between-subjects, experimental research design was delivered via an online survey to a nationally representative sample of U.S. residents. The manipulation was four mock news articles differentiated by metaphorical concept for gene-editing in agriculture (creation versus text editor versus tool versus control). Even when controlling for confounding variables, the results indicated no significant differences between the treatments on issue-relevant thinking or willingness to share the article on social media. Future research should explore the impact of metaphorical concepts on attitude and other behavioral outcomes associated with elaboration.