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Introducing automatic video mining to agricultural economics: A case study from a crowdfunding website

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  • Yang, Zhengliang
  • Caputo, Vincenzina

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  • Yang, Zhengliang & Caputo, Vincenzina, 2023. "Introducing automatic video mining to agricultural economics: A case study from a crowdfunding website," 2023 Annual Meeting, July 23-25, Washington D.C. 335600, Agricultural and Applied Economics Association.
    • Handle: RePEc:ags:aaea23:335600
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    File URL: https://ageconsearch.umn.edu/record/335600/files/26650.pdf
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    1. Matthew McGranaghan & Jura Liaukonyte & Kenneth C. Wilbur, 2022. "How Viewer Tuning, Presence, and Attention Respond to Ad Content and Predict Brand Search Lift," Marketing Science, INFORMS, vol. 41(5), pages 873-895, September.
    2. K. Sudhir, 2016. "Editorial—The Exploration-Exploitation Tradeoff and Efficiency in Knowledge Production," Marketing Science, INFORMS, vol. 35(1), pages 1-9, January.
    3. Schwenzow, Jasper & Hartmann, Jochen & Schikowsky, Amos & Heitmann, Mark, 2021. "Understanding videos at scale: How to extract insights for business research," Journal of Business Research, Elsevier, vol. 123(C), pages 367-379.
    4. Li, Xi & Shi, Mengze & Wang, Xin (Shane), 2019. "Video mining: Measuring visual information using automatic methods," International Journal of Research in Marketing, Elsevier, vol. 36(2), pages 216-231.
    5. Giovanni Luca Cascio Rizzo & Jonah Berger & Matteo De Angelis & Rumen Pozharliev & Andrew T Stephen & Jacob Goldenberg, 2023. "How Sensory Language Shapes Influencer’s Impact," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 50(4), pages 810-825.
    6. Dessart, Laurence, 2018. "Do ads that tell a story always perform better? The role of character identification and character type in storytelling ads," International Journal of Research in Marketing, Elsevier, vol. 35(2), pages 289-304.
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