A A Email Print Share

What Practices Work Best for Mobile Broadcast Journalism? Grant Will Help Duquesne Find Out

How audiences assess the quality, usability and trustworthiness of mobile content in broadcast news will be examined by the Duquesne University Journalism and Multimedia Arts Department (JMA).

Dr. Charlie Gee, assistant professor, is leading the research team, which includes colleagues Dr. Giselle Auger, Dr. Zeynep Tanes-Ehle, Dr. John Shepherd and Professor Maggie Patterson. The study is supported by a two year, $125,750 grant from the John. S. and James L. Knight Foundation.

The research will focus on the effect of new technology on news gathering, story type and in-field editing on news credibility, quality and transparency. The study will investigate the effects on various age demographics, starting with the Millennial generation.

"We are excited that the grant will allow us to enhance the experience and understanding of students engaged in news-gathering techniques," said Gee.

Undergraduate students of Duquesne's JMA program will be invited to enroll in a unique course that will provide an opportunity to participate in the research. These students, advanced in the study of news production, will have the course available in the fall semester.

"One of the goals is to establish a set of best practices for mobile journalism," said Dr. John Shepherd, chair of the JMA department. "What smartphone works best, what size tablet, how do we reduce the shakiness? So, if (radio or television) stations are thinking of using mobile devices, they can look at what we found to be the best."

Duquesne University

Founded in 1878, Duquesne is consistently ranked among the nation's top Catholic universities for its award-winning faculty and tradition of academic excellence. Duquesne, a campus of nearly 9,500 graduate and undergraduate students, has been nationally recognized for its academic programs, community service and commitment to sustainability. Follow Duquesne University on Facebook, Twitter and Instagram.