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Cryptocurrency Day Trading and Framing Prediction in Microblog Discourse
With 56 million people actively trading and investing in cryptocurrency online and globally in 2020, there is an increasing need for automatic social media analysis tools to help understand trading discourse and behavior.
Using Social Media For Bitcoin Day Trading Behavior Prediction
This abstract presents preliminary work in the application of natural language processing techniques and social network modeling for the prediction of cryptocurrency trading and investment behavior.
Modeling Behavioral Aspects of Social Media Discourse for Moral Classification
Political discourse on social media microblogs, specifically Twitter, has become an undeniable part of mainstream U. S. politics.
Classification of Moral Foundations in Microblog Political Discourse
Previous works in computer science, as well as political and social science, have shown correlation in text between political ideologies and the moral foundations expressed within that text.
Ideological Phrase Indicators for Classification of Political Discourse Framing on Twitter
Politicians carefully word their statements in order to influence how others view an issue, a political strategy called framing.
Leveraging Behavioral and Social Information for Weakly Supervised Collective Classification of Political Discourse on Twitter
Framing is a political strategy in which politicians carefully word their statements in order to control public perception of issues.
``All I know about politics is what I read in Twitter'': Weakly Supervised Models for Extracting Politicians' Stances From Twitter
During the 2016 United States presidential election, politicians have increasingly used Twitter to express their beliefs, stances on current political issues, and reactions concerning national and international events.
