Abstract
This research in progress intends to document the process of mining social media text-based content in order to acquire measures of cultural dimensions. This process can potentially be replicated and extended to other topics of inquiry so as to provide researchers with an alternative source for data acquisition related to measuring theoretical constructs. Additionally, we provide an argument supporting the credibility of user generated content (UGC) as a data source for rigorous inquiry. This article describes the mechanism for acquiring pertinent UGC as well as describing the method of assessing and quantifying the valence and magnitude of the various construct values. These measures are intended to be suitable for utilization across a variety of methods for statistical analysis requiring continuous or discrete factor measures. We conclude with a discussion of limitations and benefits and intend to present preliminary results during the conference.
Recommended Citation
Hill, Geoffrey, "User Generated Content In Social Media As A Source For Assessing Cultural Dimensions" (2015). SAIS 2015 Proceedings. 2.
https://aisel.aisnet.org/sais2015/2