Detecting and Quantifying Political Bias and Credibility in Written Communications using an LSTM-Based Deep Neural Network

Daniel Soper. Detecting and Quantifying Political Bias and Credibility in Written Communications using an LSTM-Based Deep Neural Network. In Bonnie Brinton Anderson, Jason Thatcher, Rayman D. Meservy, Kathy Chudoba, Kelly J. Fadel, Sue Brown 0001, editors, 26th Americas Conference on Information Systems, AMCIS 2020, Virtual Conference, August 15-17, 2020. Association for Information Systems, 2020. [doi]

Abstract

Abstract is missing.