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Licensed Unlicensed Requires Authentication Published by De Gruyter Mouton October 10, 2019

The effects of user comments on hedonic and eudaimonic entertainment experiences when watching online videos

  • A. Marthe Möller EMAIL logo and Rinaldo Kühne
From the journal Communications

Abstract

Videos presented on social media platforms are frequently watched because people find them entertaining. However, videos on social media platforms are often presented together with user comments containing information about how entertaining previous viewers found them to be. This social information may affect people’s entertainment experiences. The goal of the present study was to explore how user comments affect viewers’ hedonic and eudaimonic entertainment experiences in response to online videos. The results of an online experiment (N = 203) showed that user comments in which previous viewers of a video indicate that they enjoyed or appreciated the video increase the hedonic entertainment experiences of new viewers. Viewers’ eudaimonic entertainment experiences were unaffected by user comments. These findings show that entertainment experiences do not emerge in response to online videos alone. Instead, they also depend on information about the entertainment experiences of previous viewers.

References

Arnett, J. J. (2000). Emerging adulthood: A theory of development from the late teens through the twenties. American Psychologist, 55(5), 469–480.10.1037/0003-066X.55.5.469Search in Google Scholar

Baek, H., Oh, S., Yang, H.-D., & Ahn, J. (2017). Electronic word-of-mouth, box office revenue and social media. Electronic Commerce Research and Applications, 22, 13–23.10.1016/j.elerap.2017.02.001Search in Google Scholar

Bartsch, A. (2012). As time goes by: What changes and what remains the same in entertainment experience over the life span? Journal of Communication, 62, 588–608.10.1111/j.1460-2466.2012.01657.xSearch in Google Scholar

Bartsch, A., & Hartmann, T. (2017). The role of cognitive and affective challenge in entertainment experience. Communication Research, 44(1), 29–53.10.1177/0093650214565921Search in Google Scholar

Brand, B. (2013). Life is Beautiful. [Animated short film]. Available from https://www.youtube.com/watch?v=6fDoTmjHa1l.Search in Google Scholar

Cameron, J., & Geidner, N. (2014). Something old, something new, something borrowed from something blue: Experiments on dual viewing TV and Twitter. Journal of Broadcasting & Electronic Media, 58(3), 400–419.10.1080/08838151.2014.935852Search in Google Scholar

Chakravarty, A., Liu, Y., & Mazumdar, T. (2010). The differential effects of online word-of-mouth and critics’ reviews on pre-release movie evaluation. Journal of Interactive Marketing, 24, 185–197.10.1016/j.intmar.2010.04.001Search in Google Scholar

Chau, C. (2010). YouTube as a participatory culture. New Directions for Youth Development, 128, 65–74.10.1002/yd.376Search in Google Scholar

Cheung, C. M. K., & Thadani, D. R. (2012). The impact of electronic word-of-mouth communication: A literature analysis and integrative model. Decision Support Systems, 54(1), 461–470.10.1016/j.dss.2012.06.008Search in Google Scholar

Geise, S., & Baden, C. (2015). Putting the image back into the frame: Modeling the linkage between visual communication and frame‐processing theory. Communication Theory, 25(1), 46–69.10.1111/comt.12048Search in Google Scholar

Hall, A., & Zwarun, L. (2012). Challenging entertainment: Enjoyment, transportation, and need for cognition in relation to fictional films viewed online. Mass Communication and Society, 15(3), 384–406.10.1080/15205436.2011.583544Search in Google Scholar

Hixson, T. K. (2005). Mission possible: Targeting trailers to movie audiences. Journal of Targeting, Measurement and Analysis for Marketing, 14(3), 210–224.10.1057/palgrave.jt.5740182Search in Google Scholar

Hsueh, M., Yogeeswaran, K., & Malinen, S. (2015). “Leave your comment below”: Can biased online comments influence our own prejudicial attitudes and behaviors? Human Communication Research, 41(4), 557–576.10.1111/hcre.12059Search in Google Scholar

Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247.10.1016/j.chb.2016.09.024Search in Google Scholar

Klaaren, K. J., Hodges, S. D., & Wilson, T. D. (1994). The role of affective expectations in subjective experience and decision-making. Social Cognition, 12(2), 77–101.10.1521/soco.1994.12.2.77Search in Google Scholar

Konijn, E. A., & Hoorn, J. F. (2004). Reality-based genre preferences do not direct personal involvement. Discourse Processes, 38(2), 219–246.10.1207/s15326950dp3802_4Search in Google Scholar

Lee, J., Park, D. H., & Han, I. (2008). The effect of negative online consumer reviews on product attitude: An information processing view. Electronic Commerce Research and Applications, 7(3), 341–352.10.1016/j.elerap.2007.05.004Search in Google Scholar

Lee, M., & Youn, S. (2009). Electronic word of mouth (eWOM): How eWOM platforms influence consumer product judgement. International Journal of Advertising, 28(3), 473–499.10.2501/S0265048709200709Search in Google Scholar

Leshner, G. (2017). Experiment, laboratory. In The International Encyclopedia of Communication Research Methods (pp. 1–15). Hoboken, NJ: Wiley.10.1002/9781118901731.iecrm0096Search in Google Scholar

Lewis, R. J., Tamborini, R., & Weber, R. (2014). Testing a dual-process model of media enjoyment and appreciation. Journal of Communication, 64(3), 397–416.10.1111/jcom.12101Search in Google Scholar

Liu, Y. (2006). Word of mouth for movies: Its dynamics and impact on box office revenue. Journal of Marketing, 70(3), 74–89.10.1509/jmkg.70.3.074Search in Google Scholar

Oliver, M. B., & Bartsch, A. (2011). Appreciation of entertainment. Journal of Media Psychology, 23(1), 29–33.10.1027/1864-1105/a000029Search in Google Scholar

Oliver, M. B., Weaver, J. B., & Sargent, S. D. (2000). An examination of factors related to sex differences in enjoyment of sad films. Journal of Broadcasting & Electronic Media, 44, 155–174.10.1207/s15506878jobem4402_8Search in Google Scholar

Pew Research Center (2018). Who uses Pinterest, Snapchat, YouTube and WhatsApp: % of U.S. adults who use each social media platform. Retrieved March 6, 2018 from http://www.pewinternet.org/chart/who-uses-pinterest-snapchat-youtube-and-whatsapp/.Search in Google Scholar

Potter, W. J. (2009). Arguing for a general framework for mass media scholarship. Thousand Oaks, CA: Sage.10.4135/9781483329864Search in Google Scholar

Price, V., & Tewksbury, D. (1997). News values and public opinion: A theoretical account of media priming and framing. In G. A. Barnett & F. J. Boster (Eds.), Progress in Communication Sciences (pp. 173–212). Greenwich, CT: Ablex Publishing Corporation.Search in Google Scholar

Rieger, D., Reinecke, L., Frischlich, L., & Bente, G. (2014). Media entertainment and well-being-linking hedonic and eudaimonic entertainment experience to media-induced recovery and vitality. Journal of Communication, 64(3), 456–478.10.1111/jcom.12097Search in Google Scholar

Roth, F. S., Weinmann, C., Schneider, F. M., Hopp, F. R., Bindl, M. J., & Vorderer, P. (2017). Curving entertainment: The curvilinear relationship between hedonic and eudaimonic entertainment experiences while watching a political talk show and its implications for information processing. Psychology of Popular Media Culture. Advance online publication.10.1037/ppm0000147Search in Google Scholar

Shedlosky-Shoemaker, R., Costabile, K. A., Deluca, H. K., & Arkin, R. M. (2011). The social experience of entertainment media: Effects of others’ evaluations on our experience. Journal of Media, 23(3), 111–121.10.1027/1864-1105/a000042Search in Google Scholar

Slater, D. M., Peter, J., & Valkenburg, P. M. (2015). Message variability and heterogeneity: A core challenge for communication research. Annals of the International Communication Association, 39(1), 3–31.10.1080/23808985.2015.11679170Search in Google Scholar

Sparks, J. R., Areni, C. S., & Cox, K. C. (1998). An investigation of the effects of language style and communication modality on persuasion. Communications Monographs, 65(2), 108–125.10.1080/03637759809376440Search in Google Scholar

Stangor, C., & Ruble, D. N. (1989). Strength of expectancies and memory for social information: What we remember depends on how much we know. Journal of Experimental Social Psychology, 25(1), 18–35.10.1016/0022-1031(89)90037-1Search in Google Scholar

Steinfield, C., Ellison, N. B., & Lampe, C. (2008). Social capital, self-esteem, and use of online social network sites: A longitudinal analysis. Journal of Applied Developmental Psychology, 29(6), 434–445.10.1016/j.appdev.2008.07.002Search in Google Scholar

Sundar, S. S. (2008). Self as source: Agency and customization in interactive media. In E. Konijn, S. Utz, M. Tanis & S. Barnes (Eds.), Mediated interpersonal communication (pp. 58–74). New York, NY: Routledge.Search in Google Scholar

Tal-Or, N. (2016). How co-viewing affects attitudes: The mediating roles of transportation and identification. Media Psychology, 19, 381–405.10.1080/15213269.2015.1082918Search in Google Scholar

Valkenburg, P. M., & Peter, J. (2013). The differential susceptibility to media effects model. Journal of Communication, 63(2), 221–243.10.1111/jcom.12024Search in Google Scholar

Valkenburg, P. M., & Piotrowski, J. T. (2017). Plugged in: How media attract and affect youth. New Haven, CT: Yale University Press.10.12987/yale/9780300218879.001.0001Search in Google Scholar

Voigt, C., Howat, G., & Brown, G. (2010). Hedonic and eudaimonic experiences among wellness tourists: An exploratory enquiry. Annals of Leisure Research, 13(3), 541–562.10.1080/11745398.2010.9686862Search in Google Scholar

Waddell, T. F., & Sundar, S. S. (2017). # thisshowsucks! The overpowering influence of negative social media comments on television viewers. Journal of Broadcasting & Electronic Media, 61(2), 393–409.10.1080/08838151.2017.1309414Search in Google Scholar

Walther, J. B., Deandrea, D., Kim, J., & Anthony, J. C. (2010). The influence of online comments on perceptions of antimarijuana public service announcements on YouTube. Human Communication Research, 36(4), 469–492.10.1111/j.1468-2958.2010.01384.xSearch in Google Scholar

Winter, S., Krämer, N. C., Benninghoff, B., & Gallus, C. (2018). Shared entertainment, shared opinions: The influence of social TV comments on the evaluation of talent shows. Journal of Broadcasting & Electronic Media, 62(1), 21–37.10.1080/08838151.2017.1402903Search in Google Scholar

Wirth, W., Hofer, M., & Schramm, H. (2012). Beyond pleasure: Exploring the eudaimonic entertainment experience. Human Communication Research, 38, 406–428.10.1111/j.1468-2958.2012.01434.xSearch in Google Scholar

Xia, L., & Bechwati, N. N. (2008). Word of mouse. Journal of Interactive Advertising, 9(1), 3–13.10.1080/15252019.2008.10722143Search in Google Scholar

Zillich, A. F. (2014). Watching television with others: The influence of interpersonal communication on entertainment. Communications, 39(2), 169–192.10.1515/commun-2014-0011Search in Google Scholar

Zillmann, D., Weaver, J. B., Mundorf, N., & Aust, C. F. (1986). Effects of an opposite-gender companion’s affect to horror on distress, delight, and attraction. Journal of Personality and Social Psychology, 51(3), 586–594.10.1037/0022-3514.51.3.586Search in Google Scholar

Zwick, W. R., & Velicer, W. F. (1986). Comparison of five rules for determining the number of components to retain. Psychological Bulletin, 99(3), 432.10.1037/0033-2909.99.3.432Search in Google Scholar

Published Online: 2019-10-10
Published in Print: 2019-11-26

© 2019 Walter de Gruyter GmbH, Berlin/Boston

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