Approach For Investigating Crowdfunding Campaigns With Platform Data: Case Indiegogo

Jukka Huhtamäki, Lester Lasrado, Karan Menon, Hannu Kärkkäinen, Jari Jussila

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

    Abstract

    Crowdfunding via the internet is a relatively new phenomenon in research and gaining momentum currently. While taking a data-driven approach into investigating the properties and dynamics of crowdfunding campaigns would allow the use of computational social science in investigations on crowdfunding, existing data-driven research on crowdfunding remains very limited. This is particularly true on the level of individual funder data. In this study, we contribute to the empirical body of knowledge on crowdfunding by introducing Indiegogo as a data source and, more specifically, the development and implementation of a crawler and scraper for accessing Indiegogo campaign data, and sharing this openly for other researchers. Due to the extremely dynamic and rapidly increasing amount of crowdfunding data in terms of the number of crowdfunding campaigns and the available investment and individual investor data, we believe our approach is useful for supporting public and open data-driven research, instead of providing merely a static data set.
    Crowdfunding via the internet is a relatively new phenomenon in research and gaining momentum currently. While taking a data-driven approach into investigating the properties and dynamics of crowdfunding campaigns would allow the use of computational social science in investigations on crowdfunding, existing data-driven research on crowdfunding remains very limited. This is particularly true on the level of individual funder data. In this study, we contribute to the empirical body of knowledge on crowdfunding by introducing Indiegogo as a data source and, more specifically, the development and implementation of a crawler and scraper for accessing Indiegogo campaign data, and sharing this openly for other researchers. Due to the extremely dynamic and rapidly increasing amount of crowdfunding data in terms of the number of crowdfunding campaigns and the available investment and individual investor data, we believe our approach is useful for supporting public and open data-driven research, instead of providing merely a static data set.
    LanguageEnglish
    Title of host publicationProceedings of the 19th International Academic Mindtrek Conference : Academic MindTrek '15
    EditorsMarkku Turunen
    Place of PublicationNew York
    PublisherAssociation for Computing Machinery
    Date2015
    Pages183-190
    ISBN (Print)978145039483
    DOIs
    StatePublished - 2015
    Event19th Academic Mindtrek Conference 2015 - Solo Sokos Hotel, Tampere, Finland
    Duration: 22 Sep 2015 → 24 Sep 2015
    Conference number: 19
    http://mindtrek.tietovisio.com/

    Conference

    Conference19th Academic Mindtrek Conference 2015
    Number19
    LocationSolo Sokos Hotel
    CountryFinland
    CityTampere
    Period22/09/2015 → 24/09/2015
    Internet address

    Keywords

    • Crowdfunding
    • Data extraction
    • Indiegogo
    • Entrepreneur
    • Crawling
    • Scraping
    • Computational social science

    Cite this

    Huhtamäki, J., Lasrado, L., Menon, K., Kärkkäinen, H., & Jussila, J. (2015). Approach For Investigating Crowdfunding Campaigns With Platform Data: Case Indiegogo. In M. Turunen (Ed.), Proceedings of the 19th International Academic Mindtrek Conference: Academic MindTrek '15 (pp. 183-190). New York: Association for Computing Machinery. DOI: 10.1145/2818187.2818289
    Huhtamäki, Jukka ; Lasrado, Lester ; Menon, Karan ; Kärkkäinen, Hannu ; Jussila, Jari. / Approach For Investigating Crowdfunding Campaigns With Platform Data : Case Indiegogo. Proceedings of the 19th International Academic Mindtrek Conference: Academic MindTrek '15. editor / Markku Turunen. New York : Association for Computing Machinery, 2015. pp. 183-190
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    title = "Approach For Investigating Crowdfunding Campaigns With Platform Data: Case Indiegogo",
    abstract = "Crowdfunding via the internet is a relatively new phenomenon in research and gaining momentum currently. While taking a data-driven approach into investigating the properties and dynamics of crowdfunding campaigns would allow the use of computational social science in investigations on crowdfunding, existing data-driven research on crowdfunding remains very limited. This is particularly true on the level of individual funder data. In this study, we contribute to the empirical body of knowledge on crowdfunding by introducing Indiegogo as a data source and, more specifically, the development and implementation of a crawler and scraper for accessing Indiegogo campaign data, and sharing this openly for other researchers. Due to the extremely dynamic and rapidly increasing amount of crowdfunding data in terms of the number of crowdfunding campaigns and the available investment and individual investor data, we believe our approach is useful for supporting public and open data-driven research, instead of providing merely a static data set.",
    keywords = "Crowdfunding, Data extraction, Indiegogo, Entrepreneur, Crawling, Scraping, Computational social science, Crowdfunding, Data extraction, Indiegogo, Entrepreneur, Crawling, Scraping, Computational social science",
    author = "Jukka Huhtam{\"a}ki and Lester Lasrado and Karan Menon and Hannu K{\"a}rkk{\"a}inen and Jari Jussila",
    year = "2015",
    doi = "10.1145/2818187.2818289",
    language = "English",
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    Huhtamäki, J, Lasrado, L, Menon, K, Kärkkäinen, H & Jussila, J 2015, Approach For Investigating Crowdfunding Campaigns With Platform Data: Case Indiegogo. in M Turunen (ed.), Proceedings of the 19th International Academic Mindtrek Conference: Academic MindTrek '15. Association for Computing Machinery, New York, pp. 183-190, Tampere, Finland, 22/09/2015. DOI: 10.1145/2818187.2818289

    Approach For Investigating Crowdfunding Campaigns With Platform Data : Case Indiegogo. / Huhtamäki, Jukka; Lasrado, Lester; Menon, Karan; Kärkkäinen, Hannu ; Jussila, Jari.

    Proceedings of the 19th International Academic Mindtrek Conference: Academic MindTrek '15. ed. / Markku Turunen. New York : Association for Computing Machinery, 2015. p. 183-190.

    Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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    AU - Kärkkäinen,Hannu

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    AB - Crowdfunding via the internet is a relatively new phenomenon in research and gaining momentum currently. While taking a data-driven approach into investigating the properties and dynamics of crowdfunding campaigns would allow the use of computational social science in investigations on crowdfunding, existing data-driven research on crowdfunding remains very limited. This is particularly true on the level of individual funder data. In this study, we contribute to the empirical body of knowledge on crowdfunding by introducing Indiegogo as a data source and, more specifically, the development and implementation of a crawler and scraper for accessing Indiegogo campaign data, and sharing this openly for other researchers. Due to the extremely dynamic and rapidly increasing amount of crowdfunding data in terms of the number of crowdfunding campaigns and the available investment and individual investor data, we believe our approach is useful for supporting public and open data-driven research, instead of providing merely a static data set.

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    ER -

    Huhtamäki J, Lasrado L, Menon K, Kärkkäinen H, Jussila J. Approach For Investigating Crowdfunding Campaigns With Platform Data: Case Indiegogo. In Turunen M, editor, Proceedings of the 19th International Academic Mindtrek Conference: Academic MindTrek '15. New York: Association for Computing Machinery. 2015. p. 183-190. Available from, DOI: 10.1145/2818187.2818289

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