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Luis Zuloaga-Rotta, Rubén Borja-Rosales, Mirko Jerber Rodríguez Mallma, David Mauricio and Nelson Maculan
The forecasting of presidential election results (PERs) is a very complex problem due to the diversity of electoral factors and the uncertainty involved. The use of a hybrid approach composed of techniques such as machine learning (ML) and Simulation in ...
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Shianghau Wu
This study aims to analyze the factors that determine voting behavior in the rustbelt states during the 2020 U.S. presidential election. The rustbelt states are traditionally considered ?swing states? and play a crucial role in determining the outcome of...
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Rui Li, Daniel Erickson, Mareyam Belcaid, Madu Franklin Chinedu and Oluwabukola Olufunke Akanbi
The unprecedented COVID-19 pandemic has drawn great attention to the issue of vaccine hesitancy, as the acceptance of the innovative RNA vaccine is relatively low. Studies have addressed multiple factors, such as socioeconomic, political, and racial back...
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Julio Jerison E. Macrohon, Charlyn Nayve Villavicencio, X. Alphonse Inbaraj and Jyh-Horng Jeng
With the increasing popularity of Twitter as both a social media platform and a data source for companies, decision makers, advertisers, and even researchers alike, data have been so massive that manual labeling is no longer feasible. This research uses ...
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Riccardo Cantini, Fabrizio Marozzo, Domenico Talia and Paolo Trunfio
Social media platforms are part of everyday life, allowing the interconnection of people around the world in large discussion groups relating to every topic, including important social or political issues. Therefore, social media have become a valuable s...
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Mahdi Hashemi
Disinformation campaigns on online social networks (OSNs) in recent years have underscored democracy?s vulnerability to such operations and the importance of identifying such operations and dissecting their methods, intents, and source. This paper is ano...
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Theo Lynn, Pierangelo Rosati and Binesh Nair
Mobilization theory posits that social media gives a voice to non-traditional actors in socio-political discourse. This study uses network analytics to understand the underlying structure of the Brexit discourse and whether the main sub-networks identify...
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Mingda Wang and Guangmin Hu
Twitter sentiment analysis is an effective tool for various Twitter-based analysis tasks. However, there is still no neural-network-based research which takes both the tweet-text information and user-connection information into account. To this end, we p...
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Mirzosaid Sultonov
Information about the possibilities of changes in national and international macroeconomic variables affects the expectations and behavior of individuals and firms more quickly than real changes in those macroeconomic variables. In this research, we inve...
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sarah usman, Devid Anggra Kurnia, Dirarini Sudarwadi
Pág. 96 - 102
This research examines the impact of the President and vice-Presidential 2019-2024 period election results against shares in the IDX30 index. The research aims to see the difference in the average trading volume activity shares between before and after t...
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