Abstract
This study answers three questions about central bank communication on Twitter: : what was communicated, who were listeners, and how they reacted. Using various natural language processing techniques, we identify the main topics discussed by the Fed and major audiences. While the Fed tweets talking about central banking topics attract greater attention from Twitter users, only the extensive margin is economically meaningful. Among all groups of users, the media accounts and economists are most active in engaging with the Fed, especially when discussing central banking-related issues. We also show that information extracted from the tweets can provide a real-time, qualitative diagnostic for inflation expectations and some reaction of these Twitter-based inflation expectations to policy action and communication.
| Original language | English |
|---|---|
| Article number | 105869 |
| Number of pages | 34 |
| Journal | Journal of Econometrics |
| Volume | 249 |
| Issue number | Part C |
| Early online date | 15 Oct 2024 |
| DOIs | |
| Publication status | Published - 15 May 2025 |
Bibliographical note
Publisher Copyright:© 2024
Keywords
- Central bank communication
- Inflation expectations
- Natural language processing
- Public engagement
- Social media
ASJC Scopus subject areas
- Economics and Econometrics
- Applied Mathematics
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