Feasibility Study of Social Media Data in Macroeconomic Forecasting

Authors

  • Benli Shi City University of Zhengzhou, Zhengzhou 452370, China

Abstract

As a new type of information source, social media data can reflect the micro-level characteristics of economic activities, providing a new perspective and rich materials for macroeconomic analysis. Traditional macroeconomic forecasting methods rely on officially released statistics, which usually havealongrelease cycle andtime lag, making it difficult to capturethe impact ofmarket sentiment fluctuations andunexpected events onthe economic environment. This study evaluates and validates the feasibility of social media data in macroeconomic forecasting and constructs a macroeconomic forecasting model based on social media data. The experimental results show that social media data can provide a valuable flow of information that helps to capture the economic pulse that cannot be reflected in time by traditional statistics, and enhances the insight into the macroeconomic situation. At the same time, social media data can also improve the accuracy and sensitivity of macroeconomic forecasts, providing policy makers,
corporate decision makers and market participants with a more forward-looking basis for decision making.

Keywords: social media data, macroeconomic forecasting, feasibility study.

Cite As

B. Shi, "Feasibility Study of Social Media Data in Macroeconomic Forecasting", Engineering Intelligent Systems, vol. 34 no. 2,
pp. 261-272, 2026.


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Published

2026-03-01

Issue

Vol. 34 No. 2 (2026): International Journal of Engineering Intelligent Systems

Section

Article

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