The interconnectedness of the economic content in the speeches of the US Presidents
The speeches stated by influential politicians can have a decisive impact on the future of a country. In particular, the economic content of such speeches affects the economy of countries and their financial markets. For this reason, we examine a novel dataset containing the economic content of 951...
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| Veröffentlicht in: | Annals of operations research Jg. 299; H. 1-2; S. 593 - 615 |
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| Hauptverfasser: | , , |
| Format: | Journal Article |
| Sprache: | Englisch |
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New York
Springer US
01.04.2021
Springer Springer Nature B.V |
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| ISSN: | 0254-5330, 1572-9338 |
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| Abstract | The speeches stated by influential politicians can have a decisive impact on the future of a country. In particular, the economic content of such speeches affects the economy of countries and their financial markets. For this reason, we examine a novel dataset containing the economic content of 951 speeches stated by 45 US Presidents from George Washington (April 1789) to Donald Trump (February 2017). In doing so, we use an economic glossary carried out by means of text mining techniques. The goal of our study is to examine the structure of significant interconnections within a network obtained from the economic content of presidential speeches. In such a network, nodes are represented by talks and links by values of cosine similarity, the latter computed using the occurrences of the economic terms in the speeches. The resulting network displays a peculiar structure made up of a core (i.e. a set of highly central and densely connected nodes) and a periphery (i.e. a set of non-central and sparsely connected nodes). The presence of different economic dictionaries employed by the Presidents characterize the core-periphery structure. The Presidents’ talks belonging to the network’s core share the usage of generic (non-technical) economic locutions like “interest” or “trade”. While the use of more technical and less frequent terms characterizes the periphery (e.g. “yield”). Furthermore, the speeches close in time share a common economic dictionary. These results together with the economics glossary usages during the US periods of boom and crisis provide unique insights on the economic content relationships among Presidents’ speeches. |
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| AbstractList | The speeches stated by influential politicians can have a decisive impact on the future of a country. In particular, the economic content of such speeches affects the economy of countries and their financial markets. For this reason, we examine a novel dataset containing the economic content of 951 speeches stated by 45 US Presidents from George Washington (April 1789) to Donald Trump (February 2017). In doing so, we use an economic glossary carried out by means of text mining techniques. The goal of our study is to examine the structure of significant interconnections within a network obtained from the economic content of presidential speeches. In such a network, nodes are represented by talks and links by values of cosine similarity, the latter computed using the occurrences of the economic terms in the speeches. The resulting network displays a peculiar structure made up of a core (i.e. a set of highly central and densely connected nodes) and a periphery (i.e. a set of non-central and sparsely connected nodes). The presence of different economic dictionaries employed by the Presidents characterize the core-periphery structure. The Presidents’ talks belonging to the network’s core share the usage of generic (non-technical) economic locutions like “interest” or “trade”. While the use of more technical and less frequent terms characterizes the periphery (e.g. “yield”). Furthermore, the speeches close in time share a common economic dictionary. These results together with the economics glossary usages during the US periods of boom and crisis provide unique insights on the economic content relationships among Presidents’ speeches. |
| Audience | Academic |
| Author | Riccioni, Jessica Cinelli, Matteo Ficcadenti, Valerio |
| Author_xml | – sequence: 1 givenname: Matteo surname: Cinelli fullname: Cinelli, Matteo organization: Applico Lab, CNR-ISC – sequence: 2 givenname: Valerio surname: Ficcadenti fullname: Ficcadenti, Valerio email: ficcadentivalerio@gmail.com organization: Department of Economics and Law, University of Macerata, London Centre for Business and Entrepreneurship Research, London South Bank University – sequence: 3 givenname: Jessica surname: Riccioni fullname: Riccioni, Jessica organization: Department of Economics and Law, University of Macerata |
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| CitedBy_id | crossref_primary_10_1007_s10479_024_05905_w crossref_primary_10_1007_s10479_024_06130_1 crossref_primary_10_1016_j_joi_2020_101054 |
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| Copyright | Springer Science+Business Media, LLC, part of Springer Nature 2019 COPYRIGHT 2021 Springer Annals of Operations Research is a copyright of Springer, (2019). All Rights Reserved. Springer Science+Business Media, LLC, part of Springer Nature 2019. |
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