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UCM releases spring semester media coverage report

University's national exposure continues to increase

During the 2013 spring semester, Ohio University received 3,747 media placements. Of that number, 2,895 were balanced in tone, 678 were positive and 557 were negative.

Overall, media placements increased 51 percent after an adjustment was made for the longer date range caused by the switch from quarters to semesters in fall 2012. Positive and balanced media hits also increased 62 percent after the adjustment.

Another positive was the fact that Ohio University's spring semester media coverage a.k.a. "Share of Voice," was the second highest (17 percent) behind only Ohio State University (41 percent).

Ohio University's Facebook fans increased about 20 percent compared to last spring, the Twitter site followers increased by 39 percent since spring quarter 2011 and the YouTube page accumulated nearly 44,000 views during spring semester, an increase of about 83 percent over spring quarter 2012. The most watched YouTube videos were:

Ohio University Campus Tour – College Green

•Ohio University – {it's you) Teaser Trailer}

•Meningitis Survivors at Ohio University

Top trending news stories during spring semester were:

•Demolition of Building 26 in The Ridges

•RecycleMania 2013 competition

•Admission applications top 20,000

•Commencement 2013

Ohio University pitched 38 faculty experts and researchers to external media during spring semester, which resulted in 561 placements in state and national media outlets. Some of the outlets that ran the stories included:  USA Today; the Washington Post; New York Times; US News & World Report; CBS Sports; MSNBC; Popular Science and National Public Radio. Hundreds of online news publications and radio programs also carried the stories.

The Ohio University in the Media report is based on third-party analysis performed by Vocus, a Web-based application designed to manage media and public relations. Vocus operates with a database of more than 800,000 worldwide media contacts and is able to identify pertinent information about message content.