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A survey on data-driven covid-19 and future pandemic management
The COVID-19 pandemic has resulted in more than 440 million confirmed cases globally
and almost 6 million reported deaths as of March 2022. Consequently, the world …
and almost 6 million reported deaths as of March 2022. Consequently, the world …
Analyzing voter behavior on social media during the 2020 US presidential election campaign
Every day millions of people use social media platforms by generating a very large amount
of opinion-rich data, which can be exploited to extract valuable information about human …
of opinion-rich data, which can be exploited to extract valuable information about human …
A survey on computational politics
Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …
users' behaviors related to political activities such as election campaign persuasion, political …
Stance classification through proximity-based community detection
Numerous domains have interests in studying the viewpoints expressed online, be it for
marketing, cybersecurity, or research purposes with the rise of computational social …
marketing, cybersecurity, or research purposes with the rise of computational social …
# élysée2017fr: The 2017 french presidential campaign on twitter
The French presidential election was one of the main political event of 2017, and triggered a
lot of activity on Twitter. The campaign was highly unpredictable and led to the rise of 5 main …
lot of activity on Twitter. The campaign was highly unpredictable and led to the rise of 5 main …
Right-Wing Twitter Users in France Exhibit Growing Homophily Compared With Left and Center Users
MU Gurchani - Social Media+ Society, 2024 - journals.sagepub.com
The purpose of this research is to enhance our understanding of homophilic behaviors—
where individuals prefer to associate with others like themselves—on Twitter, particularly …
where individuals prefer to associate with others like themselves—on Twitter, particularly …
[HTML][HTML] A multilayered graph-based framework to explore behavioural phenomena in social media conversations
G Blanco, A Lourenço - International Journal of Medical Informatics, 2023 - Elsevier
Objective Social media is part of current health communications. This research aims to delve
into the effects of social contagion, biased assimilation, and homophily in building and …
into the effects of social contagion, biased assimilation, and homophily in building and …
[HTML][HTML] The# btw17 Twitter dataset–recorded tweets of the federal election campaigns of 2017 for the 19th German Bundestag
N Kratzke - Data, 2017 - mdpi.com
The German Bundestag elections are the most important elections in Germany. This dataset
comprises Twitter interactions related to German politicians of the most important political …
comprises Twitter interactions related to German politicians of the most important political …
Causality-based social media analysis for normal users credibility assessment in a political crisis
Information trustworthiness assessment on political social media discussions is crucial to
maintain the order of society, especially during emergent situations. The polarity nature of …
maintain the order of society, especially during emergent situations. The polarity nature of …
Knowledge Transfer, Knowledge Gaps, and Knowledge Silos in Citation Networks
The advancement of science relies on the exchange of ideas across disciplines and the
integration of diverse knowledge domains. However, tracking knowledge flows and …
integration of diverse knowledge domains. However, tracking knowledge flows and …