Hashtags, Tweets and Movie Receipts

Mario E. SanguinetFall 2015

Overview• Film History-ish• Film Risks• Previous Research• Twitter• M3D

Film History

The Jazz Singer (1927) Jaws (1975)

Film History

• Overseas • “Creative industries” (US BEA 2014, 2015)– $504 billion/3.2%– $699 billion/4.32%

Risk• Pan• Tomorrowland• Jupiter Ascending– $175m– $18m

• Mitigate & Predict

Risk• “ethical marketing”• Don’t make crappy movies/trailers – (Escoffier & McKelvey, 2015)

Previous Research

General • Germany• Wikipedia• Views/Comments • Expert reviews

Twitter• Tweets Gross

revenue– By hour– By week

• Sentiment analysis

TwitterWhy Twitter?• SNS activity

increases – revenues by 64% – “search activity” by

48% • Crowd Wisdom

– 23%• Public data• Easily searchable

– #hashtags

M3D

Multilevel Model of Meme Diffusion (M3D) • Memes/social media messages• Communicators• Structural and subjective network

structures• Societal processes• Geo-technical factors

Questions?