reconfiguring the hits: the new portrait of television program success in the social media era

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Reconfiguring the “Hits”: The New Portrait of Television Program Success in the Social Media Era Allie Kosterich @allkost Rutgers University School of Communication & Information The World Media Economics and Management Conference New York, NY May 3, 2016

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Page 1: Reconfiguring the hits: The new portrait of television program success in the social media era

Reconfiguring the “Hits”: The New Portrait of Television Program Success

in the Social Media Era

Allie Kosterich @allkost

Rutgers University School of Communication & Information

The World Media Economics and Management Conference New York, NY May 3, 2016

Page 2: Reconfiguring the hits: The new portrait of television program success in the social media era

Hypotheses

Theoretical Framework Method Results Conclusion

H1: The “hit” television programs portrayed by social TV analytics will compose a greater variety of genres than the “hit” television programs portrayed by traditional Nielsen ratings.

H2: The “hit” television programs portrayed by social TV analytics will compose a greater diversity of network sources than the “hit” television programs portrayed by traditional Nielsen ratings.

H3: There will be greater performance volatility within the “hit” television programs portrayed by social TV analytics than within those portrayed by traditional Nielsen ratings.

Page 3: Reconfiguring the hits: The new portrait of television program success in the social media era

Theoretical Framework Method Results Conclusion

Page 4: Reconfiguring the hits: The new portrait of television program success in the social media era

Genre

Theoretical Framework Method Results Conclusion

Table at left: Genres represented by TV’s “hits” (n = 1040).

Table at right: Weekly charting placement for each genre.

Notes: All figures are mean shows/week; standard deviation indicated as s.d.

***Sig. at p < 0.01 **Sig. at p < 0.05 *Sig. at p < .10

Page 5: Reconfiguring the hits: The new portrait of television program success in the social media era

Source

Table at left: Diversity according to program source (n = 1040).

Table above: Charting placement for different network sources. Notes: All figures are means, standard deviation indicated as s.d. *Significant at p < 0.01

Theoretical Framework Method Results Conclusion

Page 6: Reconfiguring the hits: The new portrait of television program success in the social media era

Volatility

Table above: Volatility in the number one position.

Notes: All figures are means, standard deviation indicated as s.d. **Significant at p < 0.05

Theoretical Framework Method Results Conclusion

Page 7: Reconfiguring the hits: The new portrait of television program success in the social media era

Discussion - Social TV analytics as information source for programming and ad-buying decision-making.

-  Greater array of content? -  More competitive landscape? -  Greater diversity of successful program sources?

-  Future Research: -  More comprehensive approach to assessing volatility. -  Examination of the extent to which social TV analytics are integrated into content production, development, and distribution decision-making routines. -  Analysis of future content genres and sources picked up to air; analysis of ad prices for content.

Theoretical Framework Method Results Conclusion

Page 8: Reconfiguring the hits: The new portrait of television program success in the social media era

Thank You! Allie Kosterich

@allkost