The Resource Influence of social media on performance of movies, by Fnu Shruti

Influence of social media on performance of movies, by Fnu Shruti

Label
Influence of social media on performance of movies
Title
Influence of social media on performance of movies
Statement of responsibility
by Fnu Shruti
Creator
Contributor
Author
Thesis advisor
Subject
Genre
Language
eng
Summary
The Motion Picture Industry has often been referred to as "Land of Wild Guesses and Hunches". As films attempt to reciprocate the advancing expectations of people, it has led to exponential rise in the risk associated with making any film. We thus feel that it is important to analyze and determine the factors which could affect the financial performance of a movie. The performance of movies in terms of revenue depends on many factors such as its production studio, genre, script quality, pre-release promotion etc, - all of which are traditionally used to estimate its potential success at the box office. Recently however, the "Wisdom of Crowd" and social media have been acknowledged as a strong signal in understanding consumer behavior towards media. In this thesis, we capture socially generated meta-data mined from the social media and multimedia sites such as number of likes on Facebook page for the movie, follower count of actors on Twitter and number of likes on trailers of the movie on YouTube and study their influence on box- office performance and profitability of movies. We try to study the influence of social media signals we collect in classifying movie profitability. We identify the performance of movies by classifying them into 3 profitability classes. We tested well-known machine learning algorithms for this purpose and compared the results to find which algorithm is the most suitable for our data and the problem scenario. We also did another comparison study to test which social media signal is the strongest predictor of movie profitability. Our result shows that various social media signals have varying yet significant impacts in predicting the performance of movies. Our research also reveals that the popularity of actors depicted through follower count on Twitter is most relevant to the success of movies at theaters, and the Facebook 'like' signal has noise which impedes its analytical credibility
Cataloging source
MUU
http://library.link/vocab/creatorName
Shruti, Fnu
Degree
M.S.
Dissertation note
Thesis
Dissertation year
2014.
Government publication
government publication of a state province territory dependency etc
Granting institution
University of Missouri--Columbia
Illustrations
illustrations
Index
no index present
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
  • theses
http://library.link/vocab/relatedWorkOrContributorDate
1967-
http://library.link/vocab/relatedWorkOrContributorName
Zeng, Wenjun
http://library.link/vocab/subjectName
  • Motion picture industry
  • Social media
  • Metadata harvesting
  • Marketing
Label
Influence of social media on performance of movies, by Fnu Shruti
Instantiates
Publication
Note
  • "MAY 2014."
  • "A Thesis presented to the Faculty of Graduate School, University of Missouri In Partial Fulfillment of the Requirements for the degree Master of Science."
  • Thesis advisor: Dr. Wenjun Zeng
Accompanying material
2 supplementary files
Bibliography note
Includes bibliographical references (pages 51-53)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
955326553
Extent
1 online resource (vii, 53 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
color illustrations +
Specific material designation
remote
System control number
(OCoLC)955326553
Label
Influence of social media on performance of movies, by Fnu Shruti
Publication
Note
  • "MAY 2014."
  • "A Thesis presented to the Faculty of Graduate School, University of Missouri In Partial Fulfillment of the Requirements for the degree Master of Science."
  • Thesis advisor: Dr. Wenjun Zeng
Accompanying material
2 supplementary files
Bibliography note
Includes bibliographical references (pages 51-53)
Carrier category
online resource
Carrier category code
  • cr
Carrier MARC source
rdacarrier
Content category
text
Content type code
  • txt
Content type MARC source
rdacontent
Control code
955326553
Extent
1 online resource (vii, 53 pages)
Form of item
online
Media category
computer
Media MARC source
rdamedia
Media type code
  • c
Other physical details
color illustrations +
Specific material designation
remote
System control number
(OCoLC)955326553

Library Locations

  • Health Sciences LibraryBorrow it
    2411 Holmes St, Kansas City, Kansas City, MO, 64108, US
    39.083418 -94.575323
  • LaBudde Special CollectionsBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.034642 -94.576835
  • Leon E. Bloch Law LibraryBorrow it
    500 E. 52nd Street, Kansas City, MO, 64110, US
    39.032488 -94.581967
  • Marr Sound ArchivesBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.034642 -94.576835
  • Miller Nichols LibraryBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.035061 -94.576518
  • UMKCBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
    39.035061 -94.576518
  • UMKCBorrow it
    800 E 51st St, Kansas City, MO, 64110, US
Processing Feedback ...