TY - JOUR
T1 - Is it ‘Fake News’? Intelligence Community expertise and news dissemination as measurements for media reliability
AU - Rendon, Hector
AU - Wilson, Alyson
AU - Stegall, Jared
N1 - Funding Information:
This work was supported by the Laboratory for Analytic Sciences.
Funding Information:
Dr. Hector Rendon is a Research Scholar in the Laboratory for Analytic Sciences at North Carolina State University. He earned a Ph.D. in Communication, Rhetoric and Digital Media from NC State, a M.A. in Digital Media at Hochschule für Künste Bremen, in Germany, and a Bachelor in Communication Science at the National Autonomous University of Mexico. His research focuses on the intersection of data analytics, communication and media coverage of minorities. He mostly studies issues related to international communication, media reliability, ethnic and intercultural communication, news framing and public policy. In addition, Dr. Rendon has also studied issues related to coverage of migrants in ethnic and general market news outlets using quantitative methods. His work has been published by international journals and he has presented his work at major conferences, including the National Communication Association (NCA) and the International Communication Association (ICA). During his academic career, Dr. Rendon has been distinguished with grants from several institutions, including a Fulbright grant from the U.S. Department of State, a Digital Humanities grant from HASTAC and a DAAD grant from the German Academic Exchange Service.
Publisher Copyright:
© 2018, © 2018 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2018/11/10
Y1 - 2018/11/10
N2 - Self-communication platforms have generated a myriad of outlets and news producers that represent a challenge for modern societies. Therefore, it is relevant to explore new measurements that can help understand whether a specific outlet disseminating news could be considered reliable or not. This study is based on the expertise from the U.S. Intelligence Community to offer a statistical model that replicates the reliability measurements based on intelligence expertise. The results suggest that a classification algorithm could be useful to measure news media reliability. Additionally, different variables were identified to predict perceptions of media reliability.
AB - Self-communication platforms have generated a myriad of outlets and news producers that represent a challenge for modern societies. Therefore, it is relevant to explore new measurements that can help understand whether a specific outlet disseminating news could be considered reliable or not. This study is based on the expertise from the U.S. Intelligence Community to offer a statistical model that replicates the reliability measurements based on intelligence expertise. The results suggest that a classification algorithm could be useful to measure news media reliability. Additionally, different variables were identified to predict perceptions of media reliability.
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U2 - 10.1080/02684527.2018.1507381
DO - 10.1080/02684527.2018.1507381
M3 - Article
AN - SCOPUS:85051932500
SN - 0268-4527
VL - 33
SP - 1040
EP - 1052
JO - Intelligence and National Security
JF - Intelligence and National Security
IS - 7
ER -