Identifying Completeness Issues in Unstructured Social Media Data for Business Insights: Data Usability Perspective

Social media data has become a vital source of information for businesses, offering diverse insights through various media formats. Text, in particular, holds significant potential for providing valuable information. However, the large volume of text data often exists in an unstructured form, posing challenges for extracting maximum value due to usability issues. Improving the usability of unstructured social media data is essential for organisations to gain deeper market insights and make more informed decisions. The existing literature identifies different types of usability dimensions from unstructured big data such as availability, completeness and relevance- To the best of our knowledge, existing literature lacks a comprehensive investigation of challenges for one particular usability dimension. This research aims to address this gap by conducting a systematic literature review to identify the issues of completeness dimension for unstructured social media data in the business domain. The findings of this study will assist researchers in overcoming these challenges and optimising the extraction of meaningful insights from unstructured social media data.