2026-06-28T10:26:22Zhttps://docta.ucm.es/rest/oai/requestoai:docta.ucm.es:20.500.14352/174152023-08-11T07:26:37Zcom_20.500.14352_14col_20.500.14352_17
Docta Complutense
author
Allen, David E.
author
McAleer, Michael
author
Reidy, David McHardy
2023-06-17T17:53:29Z
2023-06-17T17:53:29Z
2018
2341-2356
https://hdl.handle.net/20.500.14352/17415
https://www.ucm.es/icae
State of the Union Addresses (SOUA) by two recent US Presidents, President Obama (2016) and President Trump (2018), and a series of recent of tweets by President Trump, are analysed by means of the data mining technique, sentiment analysis. The intention is to explore the contents and sentiments of the messages contained, the degree to which they di_er, and their potential implications for the national mood and state of the economy. President Trump's 2018 SOUA and his sample tweets are identi_ed as being more positive in sentiment than President Obama's 2016 SOUA. This is con_rmed by bootstrapped t tests and non-parametric sign tests on components of the respective sentiment scores. The issue of whether overly positive pronouncements amount to self-promotion, rather than intrinsic merit or sentiment, is a topic for future research.
eng
Atribución-NoComercial-CompartirIgual 3.0 España
Fake news and indifference to truth: Dissecting tweets and State of the Union Addresses by Presidents Obama and Trump
technical report
URL
https://docta.ucm.es/bitstreams/7ac35fb7-398b-4f60-94a7-f44df8397288/download
File
MD5
d3a8b4e7053259844e508b5167c4c5dc
486094
application/pdf
1807.pdf