Authors: Debra VanderMeer, Mahed Maddah, Roman Lukyanenko
Tags: 2018, information quality, level of structure, type of data, user-generated content
The ubiquity of online platforms has resulted in an increase in the availaibilty of user-generated content (UGC) for a multitude of purposes. Given the varied scources of UGC, the quality of information it provides is a growing challenge. While many aspects of this have been studied, it appears that the role of data structure in gathering UGC has yet to receive attention. UGC is created in online platforms with varying levels of data structure, ranging from unstructured to highly structured formats. These platforms are often designed without regard to how the structure of the input format impacts the quality information gathered. An ideal data-gathering design would consider the type of data to be recorded in order to best collect the information the user intends to convey. In this study, we consider the effects of level of structure and type of data on perceived and actual information quality in UGC.
Cite as:
Maddah M., Lukyanenko R., and VanderMeer D. (2018). “Designing UGC Interfaces: Considering Level of Structure and Type of Data,” in AIS SIGSAND, Syracuse, NY, United States, May 23 – 25, 2018.
