从数据质量和研究再现性的角度分析社交媒体研究

IF 1.8 Q3 MANAGEMENT
A. Srivastava, Rajhans Mishra
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引用次数: 4

摘要

如今,社交媒体平台在个人和组织中变得非常流行。一方面,组织将社交媒体作为一种潜在的工具,在消费者中提高对其产品的认识,另一方面,社交媒体数据有助于预测国家危机、选举民调、股票预测等。然而,如今,关于社交媒体平台上生成的数据的质量,人们正在进行争论,它是否与预测和泛化相关。本文讨论了在研发背景下从社交媒体获得的数据的相关性和质量。社交媒体数据质量问题可能会影响研究结果的可推广性和可再现性。本文探讨了社交媒体平台上生成的数据存在质量问题的可能原因,以及使用所提出的社交媒体数据质量框架将其最小化的建议性措施。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analyzing Social Media Research: A Data Quality and Research Reproducibility Perspective
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.
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来源期刊
CiteScore
3.90
自引率
31.20%
发文量
25
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