IDEAS home Printed from
MyIDEAS: Log in (now much improved!) to save this article

Taming Uncertainty in Big Data

Listed author(s):
  • Johannes Bendler


  • Sebastian Wagner


  • Tobias Brandt


  • Dirk Neumann


Registered author(s):

    While the classic definition of Big Data included the dimensions volume, velocity, and variety, a fourth dimension, veracity, has recently come to the attention of researchers and practitioners. The increasing amount of user-generated data associated with the rise of social media emphasizes the need for methods to deal with the uncertainty inherent to these data sources. In this paper we address one aspect of uncertainty by developing a new methodology to establish the reliability of user-generated data based upon causal links with recurring patterns. We associate a large data set of geo-tagged Twitter messages in San Francisco with points of interest, such as bars, restaurants, or museums, within the city. This model is validated by causal relationships between a point of interest and the amount of messages in its vicinity. We subsequently analyze the behavior of these messages over time using a jackknifing procedure to identify categories of points of interest that exhibit consistent patterns over time. Ultimately, we condense this analysis into an indicator that gives evidence on the certainty of a data set based on these causal relationships and recurring patterns in temporal and spatial dimensions. Copyright Springer Fachmedien Wiesbaden 2014

    If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

    File URL:
    Download Restriction: Access to full text is restricted to subscribers.

    As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

    Article provided by Springer & Gesellschaft für Informatik e.V. (GI) in its journal Business & Information Systems Engineering.

    Volume (Year): 6 (2014)
    Issue (Month): 5 (October)
    Pages: 279-288

    in new window

    Handle: RePEc:spr:binfse:v:6:y:2014:i:5:p:279-288
    DOI: 10.1007/s12599-014-0342-4
    Contact details of provider: Web page:

    Web page:

    Order Information: Web:

    References listed on IDEAS
    Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

    in new window

    1. Robert E. Kraut & Ronald E. Rice & Colleen Cool & Robert S. Fish, 1998. "Varieties of Social Influence: The Role of Utility and Norms in the Success of a New Communication Medium," Organization Science, INFORMS, vol. 9(4), pages 437-453, August.
    2. Sargent, R P & Shepard, R M & Glantz, Stanton A. Ph.D., 2004. "Reduced incidence of admissions for myocardial infarction associated with public smoking ban: before and after study," University of California at San Francisco, Center for Tobacco Control Research and Education qt3276d6r6, Center for Tobacco Control Research and Education, UC San Francisco.
    3. Xiaoquan (Michael) Zhang & Feng Zhu, 2011. "Group Size and Incentives to Contribute: A Natural Experiment at Chinese Wikipedia," American Economic Review, American Economic Association, vol. 101(4), pages 1601-1615, June.
    Full references (including those not matched with items on IDEAS)

    This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

    When requesting a correction, please mention this item's handle: RePEc:spr:binfse:v:6:y:2014:i:5:p:279-288. See general information about how to correct material in RePEc.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Sonal Shukla)

    or (Rebekah McClure)

    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.

    If references are entirely missing, you can add them using this form.

    If the full references list an item that is present in RePEc, but the system did not link to it, you can help with 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 profile, as there may be some citations waiting for confirmation.

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

    This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.