IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/82421.html
   My bibliography  Save this paper

The Emergence and Effects of Fake Social Information: Evidence from Crowdfunding

Author

Listed:
  • Wessel, Michael
  • Thies, Ferdinand
  • Benlian, Alexander

Abstract

No abstract is available for this item.

Suggested Citation

  • Wessel, Michael & Thies, Ferdinand & Benlian, Alexander, 2016. "The Emergence and Effects of Fake Social Information: Evidence from Crowdfunding," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 82421, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:82421
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/82421/
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ferdinand Thies & Sören Wallbach & Michael Wessel & Markus Besler & Alexander Benlian, 2022. "Initial coin offerings and the cryptocurrency hype - the moderating role of exogenous and endogenous signals," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1691-1705, September.
    2. Arcuri, Maria Cristina & Gandolfi, Gino & Russo, Ivan, 2023. "Does fake news impact stock returns? Evidence from US and EU stock markets," Journal of Economics and Business, Elsevier, vol. 125.
    3. Xu, Lei & Li, Dahui & Chiu, Chun-Hung & Zhang, Qing & Gao, Runpeng, 2022. "Implications of warm-glow effect and risk aversion in reward-based crowdfunding," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    4. Tanja Jovanović, 2019. "Crowdfunding: What Do We Know So Far?," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(01), pages 1-25, February.
    5. Rotem Shneor & Urszula Mrzygłód & Joanna Adamska-Mieruszewska & Anna Fornalska-Skurczyńska, 2022. "The role of social trust in reward crowdfunding campaigns’ design and success," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(3), pages 1103-1118, September.
    6. Mingchun Chen & Zhiying Liu & Chaoliang Ma & Xiuyuan Gong, 2021. "A distinctive early bird price in reward-based crowdfunding," Electronic Commerce Research, Springer, vol. 21(2), pages 347-370, June.
    7. Haichao Zheng & Zihao Qi & Xin Luo & Liting Li & Bo Xu, 2020. "The value of backers’ word-of-mouth in crowdfunding projects filtering: an empirical investigation," Electronic Commerce Research, Springer, vol. 20(4), pages 757-782, December.
    8. Cuixia Jiang & Ranran Han & Qifa Xu, 2023. "The impact of social media input intensity on reward-based crowdfunding performance: evidence from China," Electronic Commerce Research, Springer, vol. 23(3), pages 1753-1774, September.
    9. Perez, Charles & Sokolova, Karina & Konate, Malick, 2020. "Digital social capital and performance of initial coin offerings," Technological Forecasting and Social Change, Elsevier, vol. 152(C).
    10. Martin Adam & Michael Wessel & Alexander Benlian, 2019. "Of early birds and phantoms: how sold-out discounts impact entrepreneurial success in reward-based crowdfunding," Review of Managerial Science, Springer, vol. 13(3), pages 545-560, June.
    11. Lihuan Guo & Wei Wang & Yenchun Jim Wu & Mark Goh, 2021. "How much do social connections matter in fundraising outcomes?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-23, December.
    12. Moon, Sangkil & Kim, Moon-Yong & Iacobucci, Dawn, 2021. "Content analysis of fake consumer reviews by survey-based text categorization," International Journal of Research in Marketing, Elsevier, vol. 38(2), pages 343-364.
    13. Thomas Niemand & Sascha Kraus & Martin Angerer & Ferdinand Thies & Alicia Mas-Tur, 2019. "More is not always better—non-linear effects in crowdfunding," International Journal of Quality Innovation, Springer, vol. 5(1), pages 1-10, December.
    14. Claire van Teunenbroek & René Bekkers, 2020. "Follow the crowd: Social information and crowdfunding donations in a large field experiment," Journal of Behavioral Public Administration, Center for Experimental and Behavioral Public Administration, vol. 3(1).
    15. Yue Chen & Wentao Zhang & Xiangbin Yan & Jiahua Jin, 2020. "The life-cycle influence mechanism of the determinants of financing performance: an empirical study of a Chinese crowdfunding platform," Review of Managerial Science, Springer, vol. 14(1), pages 287-309, February.
    16. Moon, Sangkil & Kim, Moon-Yong & Bergey, Paul K., 2019. "Estimating deception in consumer reviews based on extreme terms: Comparison analysis of open vs. closed hotel reservation platforms," Journal of Business Research, Elsevier, vol. 102(C), pages 83-96.
    17. Rob Gleasure & Kieran Conboy & Lorraine Morgan, 2019. "Talking Up a Storm: How Backers Use Public Discourse to Exert Control in Crowdfunded Systems Development Projects," Information Systems Research, INFORMS, vol. 30(2), pages 447-465, June.
    18. Ma, Shuzhong & Chai, Yuxi & Jia, Fu, 2022. "Mitigating transaction risk for cross-border e-commerce firms: A multiagent-based simulation study," International Business Review, Elsevier, vol. 31(4).
    19. Thomas Clauss & Thomas Niemand & Sascha Kraus & Patrick Schnetzer & Alexander Brem, 2019. "Increasing Crowdfunding Success Through Social Media: The Importance Of Reach And Utilisation In Reward-Based Crowdfunding," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 24(03), pages 1-30, May.
    20. Cuixia Jiang & Jun Zhu & Qifa Xu, 2022. "Dissecting click farming on the Taobao platform in China via PU learning and weighted logistic regression," Electronic Commerce Research, Springer, vol. 22(1), pages 157-176, March.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dar:wpaper:82421. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.