TY - JOUR
T1 - Central Bank Communication on Social Media: What, To Whom, and How?
AU - Gorodnichenko, Yuriy
AU - Pham, Tho
AU - Oleksandr Talavera
N1 - This is an author-produced version of the published paper. Uploaded in accordance with the University’s Research Publications and Open Access policy.
PY - 2024/9/28
Y1 - 2024/9/28
N2 - 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 reactions of these Twitter-based inflation expectations to policy action and communication.
AB - 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 reactions of these Twitter-based inflation expectations to policy action and communication.
M3 - Article
SN - 0304-4076
JO - Journal of Econometrics
JF - Journal of Econometrics
ER -