1 page., Author expresses concerns about disappearance of trustworthy news content and urges agricultural readers to be "cautious in whom you trust and what you believe in the 24/7 news cycle. We deserve to know all sides of a story, not just the one that the 'conservative' or 'liberal' media outlet wants you to believe."
16 pages, via online journal, One of the nation’s most important industries, agriculture, has adopted social media to communicate with consumers and the public. At the same time, traditional news media remains important to the agriculture industry because many consumers still receive information about agriculture from sources such as newspapers and television. Little literature at the time of this study explored how social media is used specifically as a media relations tool. The purpose of this study is to examine how agricultural organizations in Ohio communicate via social media and how the messages could impact central Ohio traditional media outlets’ coverage of agricultural issues. The study is grounded in uses and gratifications theory, and previous social media studies. Data were collected from seven Ohio agricultural organizations’ Facebook pages and four central Ohio news outlets. Researchers found that Ohio agricultural commodity organizations use social media, but not necessarily to communicate with the news media. The industry received limited news coverage during the time studied, and we were unable to discern a relationship between social media and news media coverage beyond a commonality of stories. By communicating the results of this study with agricultural organizations and researchers, effective social media strategies can be developed to guide the future of social media as a media relations tool.
12 pages., Authors presented an algorithm to analyze the behaviour of users of Twitter involving the environment and health care. To illustrate, they presented a concrete example of how the associated graph structure of the tweets related to World Environment Day 2019 was used to develop a heuristic analysis of the validity of the information.
