Frontiers: In-Consumption Social Listening with Moment-to-Moment Unstructured Data: The Case of Movie Appreciation and Live Comments

References

• Adams B, Dorai C, Venkatesh S (2002) Toward automatic extraction of expressive elements from motion pictures: Tempo. IEEE Trans. Multimedia 4(4):472–481.Crossref, Google Scholar
• Apostolidis E, Mezaris V (2014). Fast shot segmentation combining global and local visual descriptors. Proc. Internat. Conf. Acoustics Speech Signal Processing (ICASSP) (IEEE Computer Society, Washington, DC), 6583–6587.Google Scholar
• Arijon D (1976) Grammar of the Film Language (Silman-James Press, Hollywood, CA).Google Scholar
• Barnett SB, Cerf M (2017) A ticket for your thoughts: Method for predicting content recall and sales using neural similarity of moviegoers. J. Consumer Res. 44(1):160–181.Crossref, Google Scholar
• Baumgartner H, Sujan M, Padgett D (1997) Patterns of affective reactions to advertisements: The integration of moment-to-moment responses into overall judgments. J. Marketing Res. 34(2):219–232.Crossref, Google Scholar
• Berger J (2014) Word of mouth and interpersonal communication: A review and directions for future research. J. Consumer Psych. 24(4):586–607.Crossref, Google Scholar
• Bezdek MA, Foy JE, Gerrig RJ (2013) “Run for it!”: Viewers’ participatory responses to film narratives. Psych. Aesthetics Creativity Arts 7(4):409–416.Crossref, Google Scholar
• Bordwell D, Thompson K (2013). Film Art: An Introduction, 6th ed. (McGraw-Hill, New York).Google Scholar
• Cutting JE (2016) Narrative theory and the dynamics of popular movies. Psych. Bull. Rev. 23(6):1713–1743.Crossref, Google Scholar
• Cutting JE, DeLong JE, Nothelfer CE (2010) Attention and the evolution of Hollywood film. Psych. Sci. 21(3):432–439.Crossref, Google Scholar
• Godes D, Mayzlin D (2004) Using online conversations to study word-of-mouth communication. Marketing Sci. 23(4):545–560.Link, Google Scholar
• Green MC, Brock TC (2000) The role of transportation in the persuasiveness of public narratives. J. Personality Soc. Psych. 79(5):701–721.Crossref, Google Scholar
• Harper FM, Konstan JA (2016) The MovieLens datasets: History and context. ACM Trans. Interactive Intelligence Systems 5(4):19:1–19:19.Google Scholar
• Hasson U, Nir Y, Levy I, Fuhrmann G, Malach R (2004) Intersubject synchronization of cortical activity during natural vision. Science 303(5664):1634–1640.Crossref, Google Scholar
• Hui SK, Meyvis T, Assael H (2014) Analyzing moment-to-moment data using a Bayesian functional linear model: Application to TV show pilot testing. Marketing Sci. 33(2):222–240.Link, Google Scholar
• Lang A (2000) The limited capacity model of mediated message processing. J. Comm. 50(1):46–70.Crossref, Google Scholar
• Morck R, Yeung B, Yu W (2000) The information content of stock markets: Why do emerging markets have synchronous stock price movements? J. Finance Econom. 58(1):215–260.Crossref, Google Scholar
• Ramanathan S, McGill AL (2007) Consuming with others: Social influences on moment-to-moment and retrospective evaluations of an experience. J. Consumer Res. 34(4):506–524.Crossref, Google Scholar
• Seiler S, Yao S, Wang W (2017) Does online word-of-mouth increase demand? (and how?) evidence from a natural experiment. Marketing Sci. 36(6):838–861.Link, Google Scholar
• Teixeira TS, Wedel M, Pieters R (2010) Moment-to-moment optimal branding in TV commercials: Preventing avoidance by pulsing. Marketing Sci. 29(5):783–804.Link, Google Scholar
• Thompson K (1999) Storytelling in the New Hollywood: Understanding Classical Narrative Technique (Harvard University Press, Cambridge, MA).Google Scholar
• Truffaut F (1984) Hitchcock (Simon & Schuster, New York).Google Scholar
• Wang J, Calder BJ (2006) Media transportation and advertising. J. Consumer Res. 33(2):151–162.Crossref, Google Scholar