35pgs, The idea that citizens' support for environmental policies depends on their economic interest and the community that one lives in, has been debated extensively in the environmental attitudes literature. However, this literature has not differentiated between separate policy dimensions that concern measures that affect specific groups in different ways. This paper differentiates between a nature/agriculture dimension that divides those who prioritize the agrarian interest from those who prioritize the protection of nature and a climate/energy dimension that divides those who prioritize industrial interest from those who prioritize fighting climate change, using a new survey in the Netherlands (N = 11,327). This two-dimensional model meets three criteria: scalability, validity, and utility. Scalability is shown by factor analysis and Mokken scaling. Validity is shown by regression analyses that show that whether one lives in a rural or an urban community predicts one's position on the nature/agriculture dimension and that one's financial security predicts one's position on the climate/energy dimension. The utility is shown by regression analyses where the two dimensions are used to predict voting behavior. The Green Party voters favor nature and climate protection, the Liberal Party voters have the opposite views, the Christian-Democrats favor agricultural interests and the Freedom Party favor industrial interests.
18 pages, Universities must strategically communicate agricultural science to effectively reach millennials skeptical of agricultural innovations and constantly assessing the credibility of online information. Universities are trusted information sources and must maintain credibility on social media platforms such as Twitter, used by millennials to receive and share information. Source credibility seeks to understand message source and recipient characteristics that influence recipients’ perceptions of a source’s expertise and trustworthiness. The purpose of this study was to explore differences in engagement when specific factors affecting source credibility were emphasized when communicating with millennials about agricultural science on Twitter. The purpose was accomplished by describing the level of engagement and the differences in engagement observed between perceived gender, race, and age of university scientists. Over seven months, researchers wrote press releases about published journal articles authored by two or more diverse, university-affiliated scientists. They published multiple tweets about each release, with the only difference being the scientists’ headshots. Scientists were categorized as perceived male versus female, White versus Non-White, and older versus younger. Descriptive analysis of engagement metrics from 32 tweets found those with females performed better than those with males. Non-White scientist tweets performed better with the exception of engagement rate. Tweets featuring younger scientists received more engagement than older. The exploratory results implied tweets featuring young, Non-White females may elicit higher engagement. Future studies should examine if engagement metrics are correlated with source credibility dimensions. Strategically featuring diverse scientists in research communication may be utilized to build engagement in universities’ social media.
