What was written vs. Who read it: News media profiling using text analysis and social media context

• Main Authors: BALY, Ramy, KARADZHOV, Georgi, AN, Jisun, KWAK, Haewoon, DINKOV, Yoan, ALI, Ahmed, GLASS, James, NAKOV, Preslav.
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2020
• Subjects: Computation and Language; Information Retrieval; Machine Learning; Programming Languages and Compilers
• Online Access: https://ink.library.smu.edu.sg/sis_research/6086; https://ink.library.smu.edu.sg/context/sis_research/article/7089/viewcontent/What_was_written_vs._who_read_it.pdf
• Institution: Singapore Management University

Predicting the political bias and the factuality of reporting of entire news outlets are critical elements of media profiling, which is an understudied but an increasingly important research direction. The present level of proliferation of fake, biased, and propagandistic content online has made it...