Developing a Predictive Media Model for Measuring UserEngagement with Web-based Hyperlocal News Services
PROCEEDINGS
Ron Rohlf, Angela Walters, Fort Hays State University, United States
EdMedia + Innovate Learning, in Montreal, Quebec, Canada ISBN 978-1-939797-16-2 Publisher: Association for the Advancement of Computing in Education (AACE), Waynesville, NC
Abstract
Hyperlocal news and information services are experiencing disruptive change caused in part by the expeditious information services now available online. Primarily non-local, these digital services facilitate meaningful connections between like-minded individuals bypassing exclusive local publishing machines. As a result, the profession of “community journalism,” mostly financed by a dwindling pool of local advertising and classified advertising revenue, is experiencing the worst of this disrupting shift. However, no clear hyperlocal digital model has emerged to fill the void of community journalism support. The authors of this paper aim to develop a method for predicting media user engagement by exploring community need, determining which, if any, predictive models would be best suited, and testing both the reliability and validity of the models. Hopefully this will lead to stronger support mechanisms for community journalism.
Citation
Rohlf, R. & Walters, A. (2015). Developing a Predictive Media Model for Measuring UserEngagement with Web-based Hyperlocal News Services. In S. Carliner, C. Fulford & N. Ostashewski (Eds.), Proceedings of EdMedia 2015--World Conference on Educational Media and Technology (pp. 1760-1763). Montreal, Quebec, Canada: Association for the Advancement of Computing in Education (AACE). Retrieved March 19, 2024 from https://www.learntechlib.org/primary/p/151453/.
© 2015 Association for the Advancement of Computing in Education (AACE)
Keywords
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