Analyzing Social Media Research: A Data Quality and Research Reproducibility Perspective. (January 2023)

• Record Type: Journal Article
• Authors: Srivastava, Amit K.; Mishra, Rajhans
• Is Part Of: IIM Kozhikode Society & Management Review. Volume 12:Number 1(2023)
• Page Start: 39
• Page End: 49
• Publication Date: 2023-01
• Subjects: Social media -- data quality -- research reproducibility -- research generalizability; Industrial management -- Periodicals; Industrial management -- India -- Periodicals; Industrial management -- Asia -- Periodicals; Business enterprises -- Periodicals; Business enterprises -- India -- Periodicals; Business enterprises -- Asia -- Periodicals; 658.005
• DOI: 10.1177/22779752211011810
• Languages: English
• ISSNs: 2277-9752

Abstract

Social media platforms have become very popular these days among individuals and organizations. On the one hand, organizations use social media as a potential tool to create awareness of their products among consumers, and on the other hand, social media data is useful to predict the national crisis, election polls, stock prediction, etc. However, nowadays, a debate is going on about the quality of data generated on social media platforms, whether it is relevant for prediction and generalization. The article discusses the relevance and quality of data obtained from social media in the context of research and development. Social media data quality issues may impact the generalizability and reproducibility of the results of the study. The paper explores possible reasons for quality issues in the data generated over social media platforms along with the suggestive measures to minimize them using the proposed social media data quality framework.