Mahoney Julie A, Widmar Nicole J O, Bir Courtney L
United Animal Health, Sheridan, IN.
Department of Agricultural Economics, Purdue University, West Lafayette, IN.
Transl Anim Sci. 2020 Jul 20;4(3):txaa139. doi: 10.1093/tas/txaa139. eCollection 2020 Jul.
Agricultural fairs provide one of the last frontiers, and largest stages, for showcasing livestock agriculture to the public. However, public funding, attendance revenue, animal biosecurity, and public health concerns are all aspects worthy of conversation and increased research attention given the interaction between livestock animals and the general public in fair and festival settings. A prominent social media listening and data analytics platform was used to quantify online and social media chatter concerning agricultural fairs during a 27-mo period. A general search for online media referencing agricultural fair keywords was designed; social and online media mentions of agricultural fairs ( = 2,091,350 mentions) were further queried according to their reference to livestock, fair food, or the major agricultural product producing species of dairy and beef cattle ( = 68,900), poultry ( = 39,600), and swine ( = 31,250). Numbers of search results were found to be seasonal and Twitter was the single largest domain for all fair-related results; in contrast, the majority of livestock-related media was generated by news sources rather than from Twitter. On a weekly basis, the percentage of fair livestock mentions with species-specific reference was highly variable ranging from 0% to 86.8% for cattle, 0% to 85.7% for poultry, and 0% to 76.9% for swine. In addition to quantifying total search hits or mentions, the positivity/negativity of the search results was analyzed using natural language processing capabilities. The net sentiment quantified is the total percentage of positive posts minus the percentage of negative posts, which results in a necessarily bounded net sentiment between -100% and +100%. Overall net sentiment associated with mentions of agricultural fairs was positive; the topics garnering the highest positive sentiments were fair food and cattle (both 98% positive). Online discussion pertaining to agricultural fairs and swine was overall positive despite references to swine flu outbreaks. In conclusion, livestock and animal products had positive net sentiment over the time period studied, but there are multiple aspects of agricultural fairs worthy of further investigation and continued vigilance, including zoonotic disease risk and public perceptions of livestock industries.
农贸会为向公众展示畜牧农业提供了最后的前沿阵地之一,也是最大的舞台之一。然而,鉴于家畜与公众在展会和节日场合中的互动,公共资金、参展收入、动物生物安全以及公共卫生问题都是值得探讨且需要更多研究关注的方面。一个著名的社交媒体监听和数据分析平台被用于量化在27个月期间有关农贸会的网络和社交媒体言论。设计了一个对提及农贸会关键词的网络媒体进行的常规搜索;根据对家畜、农贸会食品或主要农产品生产物种奶牛和肉牛(提及次数 = 68,900)、家禽(提及次数 = 39,600)和猪(提及次数 = 31,250)的提及,进一步查询了社交媒体和网络媒体对农贸会的提及(提及次数 = 2,091,350)。搜索结果数量呈现季节性,推特是所有与农贸会相关结果的最大单一来源;相比之下,大多数与家畜相关的媒体是由新闻来源产生的,而非推特。每周,提及特定物种的农贸会家畜的百分比变化很大,牛的范围为0%至86.8%,家禽为0%至85.7%,猪为0%至76.9%。除了量化总搜索命中数或提及次数外,还利用自然语言处理能力分析了搜索结果的积极性/消极性。量化的净情绪是积极帖子的总百分比减去消极帖子的百分比,这导致净情绪必然介于 -100% 和 +100% 之间。与提及农贸会相关的总体净情绪是积极的;获得最高积极情绪的主题是农贸会食品和牛(两者均为98%积极)。尽管提到了猪流感疫情,但与农贸会和猪相关的在线讨论总体上是积极的。总之,在所研究的时间段内,家畜和动物产品具有积极的净情绪,但农贸会的多个方面值得进一步调查并持续保持警惕,包括人畜共患病风险和公众对畜牧业的看法。