Major central banks are increasingly relying on the more direct channel of disseminating policy communication via social media – especially Twitter
Oana Peia is Assistant Professor, School of Economics at University College Dublin, Davide Romelli is Assistant Professor of Economics at Trinity College Dublin, Donato Masciandaro is Professor of Economics, and Chair in Economics of Financial Regulation, at Bocconi University
Cross-posted from VoxEU
Major central banks are increasingly relying on the more direct channel of disseminating policy communication via social media. This column explores recent efforts by central banks to engage with wider audiences via Twitter. Announcements about banknotes attract a disproportionally larger number of retweets compared to tweets related to all other topics. Tweets discussing monetary policy decisions and operations also prompt a significantly larger reaction from Twitter users.
As central banks started to employ communication as a core part of their monetary policy toolkit in the early 1990s, they primarily targeted expert audiences such as financial market participants, academics, policymakers and specialised media, rather than the wider public (Blinder et al. 2005, Assenmacher et al. 2021, Blinder at al. 2022). Although this strategy has been largely successful in explaining monetary policy decision to expert audiences, communication with the general public has lagged behind (Ehrmann and Wabitsch 2021).
In recent years, major central banks are increasingly relying on the more direct channel of disseminating policycommunication through their websites and social media accounts. To this end, central banks have made their websites more user friendly – through, for example, educational resources and tools – and have also strengthened their presence on social media platforms such as Facebook, LinkedIn, and Twitter (Gorodnichenko et al. 2021, Ehrmann and Wabitsch2022). In a recent paper, we explore recent efforts by central banks to engage with a wider audience via Twitter (Masciandaro et al. 2022), which seems to be a channel that can likely influence macro phenomena, as political elections (Fujiwara et al., 2020).
Table 1 provides information on the number of followers recorded on the social media platforms of the G20 countries’ central banks as of September 2022. Twitter appears to be the most popular social media channel for most of the central banks, with the exceptions of the Reserve Bank of Australia, Bank of France, Bank of Italy, and the South African Reserve Bank, which are mainly followed on LinkedIn, and the Bank of Korea, which is more popular onFacebook.
Table 1 Central banks’ social media presence and followers (as of September 2022)
Table 2 provides information on the number of tweets and other engagement statistics with the social media content of major central banks. Since joining Twitter in June 2010, the Bank of Indonesia has posted around 40,000 tweets and its number of social media posts is more than double that of the second most active central bank in our sample, the Bank of France. The Bank of Indonesia also has the highest number of replies to tweets by other users. However, with the exception of this central bank, on average, only 2.5% of the tweets of the other central banks are replies to othersocial media users.
Table 2 Central banks’ Twitter engagement statistics (as of September 2022)
We then investigate the content of individual tweets to understand if certain topics are associated with a higher public engagement. To do so, we first translated all the tweets written in a language different from English by using Microsoft Translator (138,667 tweets, or 65% of the sample). We then extract a random sample of 5,000 tweets and manually classify them into nine different topics: banknotes, bulletins and reports, data releases and statistics, exchange rate information, monetary policy, other information, replies to tweets, research and conferences, and speeches and interviews.
After this classification, we compute the set of the most frequently used unigrams and bigrams terms for each topic, and we use them to further classify the remaining tweets. This procedure allows us to classify a total of 89,343tweets, or 42% of the sample.
Table 3 shows the distribution of the classified tweets across the different topics, together with the most frequent words associated to each topic. Using this classification and looking at the ten most liked and retweeted tweets, we find that all of them were made to announce the introduction of new coins or banknotes.
Table 3 Distribution of classified tweets by topic
Overall, this suggests that the increased use of social media by central banks might represent an important tool to communicate monetary policy decisions. Indeed, the increased use of social media in central bank communication, together with the rising popularity of quantitative text analysis techniques, has given rise to a burgeoning literature that studies the role played by central bank social media communication.
All in all, our analysis confirms that central banks are increasingly engaging in social media as a regular feature of their communication policy. Future research can delve deeper into the analysis of high frequency social media content as a tool for measuring market expectations and the effectiveness of central bank communication. Another avenue for future research is the role of social media presence of monetary policy committee members, who have also significantly increased their efforts to engage with the wider public.
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