Philip M. Napoli Professor and Area Chair, Communication & Media Management Co-Director, Center for Communications Graduate School of Business Fordham University This research was conducted in partnership with, and with the assistance of, The Collaborative Alliance
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Philip M. Napoli Professor and Area Chair, Communication & Media Management
Co-Director, Center for Communications Graduate School of Business
Fordham University
This research was conducted in partnership with, and with the assistance of, The Collaborative Alliance
Plan
� Background: Audience Evolution and the Post-Exposure Audience Marketplace
� Research Questions and Method � Overview/Assessment of Social TV
� Data Gathered from Online Social Media Sources � Twitter � Facebook (public pages) � TV Check-in platforms � Other online communities � Online news media
� Analyzed via Language Processing Algorithms � Synchronized with Program Schedule/Content
Data � To Produce a Wide Range of Analytical
Outputs
Points of Differentiation
� Data sources � Algorithm/search terms � Measurement period � Granularity
Methodological Issues: The Redistribution of Cultural Influence
� Layers of possible misrepresentation � Access � Participation ○ 10% of Twitter accounts produce 90% of
tweets ○ Services generally don’t include Facebook
� Overrepresentation of young males � Overrepresentation of television enthusiasts
Methodological Issues: “Black Box” Audiences
� “They never tell you what’s in the black box. There’s no transparency.”
� “People who are qualified to come up with solutions are coming from a completely different direction from traditional media research people. There’s no overlap in terms of skill sets, pedigree, etc.”
Methodological Issues: Compatibility with Established Practices � Demographics � Dayparts � Local markets