Laboratory for Integrative Biodiversity Research (LIBRe), Finnish Museum of Natural History (LUOMUS), University of Helsinki, Helsinki, Finland.
Molecular Ecology Group (MEG), Water Research Institute, National Research Council of Italy (CNR-IRSA), Largo Tonolli 50, 28922, Verbania Pallanza, Italy.
Sci Data. 2022 Mar 28;9(1):109. doi: 10.1038/s41597-022-01197-6.
Mass media plays an important role in the construction and circulation of risk perception associated with animals. Widely feared groups such as spiders frequently end up in the spotlight of traditional and social media. We compiled an expert-curated global database on the online newspaper coverage of human-spider encounters over the past ten years (2010-2020). This database includes information about the location of each human-spider encounter reported in the news article and a quantitative characterisation of the content-location, presence of photographs of spiders and bites, number and type of errors, consultation of experts, and a subjective assessment of sensationalism. In total, we collected 5348 unique news articles from 81 countries in 40 languages. The database refers to 211 identified and unidentified spider species and 2644 unique human-spider encounters (1121 bites and 147 as deadly bites). To facilitate data reuse, we explain the main caveats that need to be made when analysing this database and discuss research ideas and questions that can be explored with it.
大众媒体在与动物相关的风险感知的构建和传播中发挥着重要作用。像蜘蛛这样广为人怕的群体经常成为传统媒体和社交媒体关注的焦点。我们编制了一个专家策划的全球数据库，其中包含过去十年（2010-2020 年）有关人类与蜘蛛遭遇的在线报纸报道的信息。该数据库包括新闻文章中报道的每一次人类与蜘蛛遭遇的地点信息，以及对内容-地点、蜘蛛和咬伤照片的存在、错误数量和类型、专家咨询以及耸人听闻的主观评估的定量描述。我们总共从 40 种语言的 81 个国家收集了 5348 篇独特的新闻文章。该数据库涉及 211 种已识别和未识别的蜘蛛物种以及 2644 次独特的人类与蜘蛛遭遇（1121 次咬伤和 147 次致命咬伤）。为了方便数据再利用，我们解释了在分析此数据库时需要注意的主要问题，并讨论了可以使用该数据库探索的研究思路和问题。
