14 pages., The agricultural sector has been influenced significantly by agriculture and natural resources (ANR) policies voted in by elected officials. Many agricultural organizations and their members have sought to provide a ‘voice’ for the ANR industry and communicate with policymakers about emerging issues. It is necessary that such organizations and members be able to use that voice effectively. This study was conducted to examine the communication preferences of Florida agricultural organization members and factors that may encourage them to contact elected officials about an ANR policy. Respondents in this study least preferred to be contacted by their organization(s) via phone call or text message. They also identified local Extension offices and the university as the most trustworthy sources of communication regarding ANR policy. When contacting members to spur involvement in ANR policy decisions, organizational leaders should use a variety of communication mediums, including email magazines and printed newsletters and magazines, to promote engagement in ANR policy discussions. Future research is needed to examine other factors that may influence agriculture organization members’ communication with elected officials, as well as the types of messaging strategies organizational leaders can use to further members’ engagement in ANR policy decisions.
13 pages., While work on agricultural messaging is abundant, the way that audiences form perceptions of messages is not well understood and little research has examined the cognitive effects of image and word associations in an agricultural context. Previous knowledge gap research has shown that socioeconomic status and access to information could be one contributor of perception formation. We propose that these variables could also impact cognitive processing. Therefore, the purpose of this exploratory study was to examine how components of cognitive dissonance and knowledge gap theory apply in the context of a contentious agricultural issue. Data were collected from 1,049 United States’ residents through an online survey with an embedded experimental design. Respondents randomly received one of two image and word association pairings. After viewing the treatment, measures of cognitive conflict, demographics, and desire to learn more were collected. The results showed that the cognitive conflict instrument performed differently in the context of a complex agricultural issue than in prior research. Additionally, the message pairings had a stronger influence on cognitive conflict components than demographic characteristics. Finally, the desire to learn more was impacted by the message treatments. Future research on cognitive conflict and advanced modeling is recommended.