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Identifying Popular Frogs and Attractive Frog Calls from YouTube Data

Author

Listed:
  • Jun-Kyu Park

    (Department of Biological Science, Kongju National University, Gongju 32588, Korea)

  • Woong-Bae Park

    (Department of Biological Science, Kongju National University, Gongju 32588, Korea)

  • Yuno Do

    (Department of Biological Science, Kongju National University, Gongju 32588, Korea)

Abstract

Public interest in and preferences for certain species can sometimes provide an opportunity for conservation and management. Here, we attempted to identify ‘popular’ anurans from YouTube data. In addition, the attractiveness of anuran advertisement-calling sounds were analyzed using acoustic data. By searching YouTube with the search term ‘frog calling’, 250 videos were selected. Of these, 174 videos could be classified according to species; these videos aided in extracting clean calling sounds, free from the overlapping calls of other male frogs, as well as other sounds. To assess the interests and preferences of viewers for different species, the numbers of videos, view counts, ‘likes,’ and ‘dislikes’ were recorded. From the videos, the calls of 78 species belonging to 17 families were identified. Viewer interest was highest for the Hylidae and Ranidae species, which are often discoverable in the field. In addition, invasive frogs had large numbers of videos and large numbers of ‘likes.’ People tended to prefer frogs calling with lower dominant frequencies. However, there were few videos on endangered species, and these garnered relatively less interest than other species. To manage and conserve invasive or endangered frog species, there is a need to increase ecological understanding by adjusting species awareness and charisma.

Suggested Citation

  • Jun-Kyu Park & Woong-Bae Park & Yuno Do, 2022. "Identifying Popular Frogs and Attractive Frog Calls from YouTube Data," Sustainability, MDPI, vol. 14(16), pages 1-10, August.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10258-:d:891411
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    References listed on IDEAS

    as
    1. Hao Luo & Li Deng & Songlin Jiang & Chen Song & Erkang Fu & Jun Ma & Lingxia Sun & Zhuo Huang & Mingyan Jiang & Chunyan Zhu & Xi Li, 2022. "Assessing the influence of individual factors on visual and auditory preference for rural landscape: the case of Chengdu, China," Journal of Environmental Planning and Management, Taylor & Francis Journals, vol. 65(4), pages 727-744, January.
    2. Do, Yuno, 2019. "Valuating aesthetic benefits of cultural ecosystem services using conservation culturomics," Ecosystem Services, Elsevier, vol. 36(C), pages 1-1.
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