Students’ ability to identify media bias in written press
Main Article Content
Keywords
Media bias, written press, reading comprehension
Abstract
The intention of this study is to analyze the relationship between reading comprehension and students’ ability to identify media bias in written press. The participants for this study were sixty EFL students from a language department of an Ecuadorian university. There was no random assignment of participants to the control and experimental groups. Information was obtained from a questionnaire by Browne and Keeley (2004). Data was coded manually, and the outcomes showed no significant improvement in students’ ability to identify media bias referred to the variable “time”. Also, there was no significance in the interaction of the variable “time” and the variable “group”, and there was little difference in the two times the test was taken by both groups.
References
Baron, D. P. (2006). Persistent media bias. Journal of Public Economics, 90(1-2), 1-36.
Browne, M. N., & Keeley, S. M. (2004). Asking the right questions : A guide to critical thinking (7th ed.). Englewood Cliffs, NJ: Pearson.
Chiang, C. F., & Knight, B. (2011). Media bias and influence: Evidence from newspaper endorsements. The Review of Economic Studies, 78(3), 795-820.
Gentzkow, M., & Shapiro, J. M. (2005). Media bias and reputation. Journal of political Economy, 114(2), 280-316.
Gentzkow, M., Shapiro, J. M., & Stone, D. F. (2015). Media bias in the marketplace: Theory. In Handbook of media economics, 1, 623-645. North-Holland.
Groseclose, T. & Milyo, J. A measure of media bias. Quarterly Journal of Economics. Forthcoming.
Kendeou, P., Van den Broek, P., White, M. J., & Lynch, J. S. (2009). Predicting reading comprehension in early elementary school: The independent contributions of oral language and decoding skills. Journal of educational psychology, 101(4), 765.
Mullainathan, S., & Shleifer, A. (2002). Media bias (No. 9295). National Bureau of Economic Research.
Xiang, Y., & Sarvary, M. (2007). News consumption and media bias. Marketing Science, 26(5), 611-628.