A social identity perspective on the effect of social information on online video enjoyment
Vol.14,No.4(2020)
To date, videos are often presented on social media platforms where they are accompanied by social information in the form of user comments. Research suggests that this social information can alter viewers’ video enjoyment. The present study aimed to learn more about two factors that may enhance this effect by conducting a 2x2 between-subjects experiment with a control group (N = 290, Mage = 20.82, SDage = 2.49) in the Netherlands. First, we investigated the role that the source of social information (i.e., in-group vs. out-group) plays in the effect of social information. Second, we explored how writing a comment while watching a video (i.e., commenting vs. no commenting) may alter the effect of the source of social information. Results indicated that social information created by in-group members is more influential than social information created by out-group members. However, writing a comment did not increase viewers’ susceptibility to the effects of social information. These results are discussed in light of the social identity framework, leading to new insights into what may bolster the effect of social information on video enjoyment when individuals watch videos presented on social media.
Social information; user comments; enjoyment; social identification; information source
A. Marthe Möller
University of Amsterdam
Rinaldo Kühne
University of Amsterdam
Susanne E. Baumgartner
University of Amsterdam
Jochen Peter
University of Amsterdam
Aron, A., Aron, E. N., & Smollan, D. (1992). Inclusion of Other in the Self Scale and the structure of interpersonal closeness. Journal of Personality and Social Psychology, 63(4), 596–612. https://doi.org/10.1037/0022-3514.63.4.596
Billig, M., & Tajfel, H. (1973). Social categorization and similarity in intergroup behaviour. European Journal of Social Psychology, 3(1), 27–52. https://doi.org/10.1002/ejsp.2420030103
Chae, B. G., Dahl, D. W., & Zhu, R. J. (2017). “Our” brand's failure leads to “their” product derogation. Journal of Consumer Psychology, 27(4), 466–472. https://doi.org/10.1016/j.jcps.2017.04.002
Christ, T. J. (2007). Experimental control and threats to internal validity of concurrent and nonconcurrent multiple baseline designs. Psychology in the Schools, 44(5), 451–459. https://doi.org/10.1002/pits.20237
Faul, F., Erdfelder, E., Lang, A.-G., & Buchner, A. (2007). G*Power 3: A flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behavior Research Methods, 39(2), 175–191. https://doi.org/10.3758/BF03193146
Hayes, A. F. (2018). PROCESS [Macro]. http://afhayes.com/introduction-to-mediation-moderation-and-conditional-process-analysis.html
Hixson, T. K. (2006). Mission possible: Targeting trailers to movie audiences. Journal of Targeting, Measurement and Analysis for Marketing, 14(3), 210–224. https://doi.org/10.1057/palgrave.jt.5740182
Hogg, M. A., & Hains, S. C. (1996). Intergroup relations and group solidarity: Effects of group identification and social beliefs on depersonalized attraction. Journal of Personality and Social Psychology, 70(2), 295–309. https://doi.org/10.1037/0022-3514.70.2.295
Hogg, M. A., & Turner, J. C. (1985). Interpersonal attraction, social identification and psychological group formation. European Journal of Social Psychology, 15(1), 51–66. https://doi.org/10.1002/ejsp.2420150105
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. https://doi.org/10.1111/hcre.12059
Isart Digital. (2016). Nobody Nose Cleopatra. [Animated Short Film]. https://www.youtube.com/watch?v=8Tc7PMuHTJQ
Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube? Computers in Human Behavior, 66, 236–247. https://doi.org/10.1016/j.chb.2016.09.024
Lin, C. A., & Xu, X. (2017). Effectiveness of online consumer reviews: The influence of valence, reviewer ethnicity, social distance and source trustworthiness. Internet Research, 27(2), 362–380. https://doi.org/10.1108/IntR-01-2016-0017
Mackie, D. M. (1986). Social identification effects in group polarization. Journal of Personality and Social Psychology, 50(4), 720–728. https://doi.org/10.1037/0022-3514.50.4.720
Mackie, D. M., Worth, L. T., & Asuncion, A. G. (1990). Processing of persuasive in-group messages. Journal of Personality and Social Psychology, 58(5), 812–822. https://doi.org/10.1037/0022-3514.58.5.812
McCroskey, J. C., Richmond, V. P., & Daly, J. A. (1975). The development of a measure of perceived homophily in interpersonal communication. Human Communication Research, 1(4), 323–332. https://doi.org/10.1111/j.1468-2958.1975.tb00281.x
McCroskey, L. L., McCroskey, J. C., & Richmond, V. P. (2006). Analysis and improvement of the measurement of interpersonal attraction and homophily. Communication Quarterly, 54(1), 1–31. https://doi.org/10.1080/01463370500270322
Möller, A. M., Baumgartner, S. E., Kühne, R., & Peter, J. (2019). The effects of social information on the enjoyment of online videos: An eye tracking study on the role of attention. Media Psychology. Advance online publication. https://doi.org/10.1080/15213269.2019.1679647
Möller, A. M., & Kühne, R. (2019). The effects of user comments on hedonic and eudaimonic entertainment experiences when watching online videos. Communications, 44(4), 427–446. https://doi.org/10.1515/commun-2018-2015
Oh, J., & Sundar, S. S. (2020). What happens when you click and drag: Unpacking the relationship between on-screen interaction and user engagement with an anti-smoking website. Health Communication, 35(3), 269–280. https://doi.org/10.1080/10410236.2018.1560578
Ohanian, R. (1990). Construction and validation of a scale to measure celebrity endorsers' perceived expertise, trustworthiness, and attractiveness. Journal of Advertising, 19(3), 39–52. https://doi.org/10.1080/00913367.1990.10673191
Oliver, M. B., Weaver, J. B., III, & Sargent, S. L. (2000). An examination of factors related to sex differences in enjoyment of sad films. Journal of Broadcasting & Electronic Media, 44(2), 282–300. https://doi.org/10.1207/s15506878jobem4402_8
Pirlott, A. G., & MacKinnon, D. P. (2016). Design approaches to experimental mediation. Journal of Experimental Social Psychology, 66, 29–38. https://doi.org/10.1016/j.jesp.2015.09.012
Postmes, T., Haslam, S. A., & Jans, L. (2013). A single‐item measure of social identification: Reliability, validity, and utility. British Journal of Social Psychology, 52(4), 597–617. https://doi.org/10.1111/bjso.12006
Reichelt, J., Sievert, J., & Jacob, F. (2014). How credibility affects eWOM reading: The influences of expertise, trustworthiness, and similarity on utilitarian and social functions. Journal of Marketing Communications, 20(1–2), 65–81. https://doi.org/10.1080/13527266.2013.797758
Reicher, S. D., Spears, R., & Postmes, T. (1995). A social identity model of deindividuation phenomena. European Review of Social Psychology, 6(1), 161–198. https://doi.org/10.1080/14792779443000049
Ren, Y., Harper, F. M., Drenner, S., Terveen, L., Kiesler, S., Riedl, J., & Kraut, R. E. (2012). Building member attachment in online communities: Applying theories of group identity and interpersonal bonds. MIS Quarterly, 36(3), 841–864. https://doi.org/10.2307/41703483
Samu, S., & Bhatnagar, N. (2008). The efficacy of anti-smoking advertisements: The role of source, message, and individual characteristics. International Journal of Nonprofit and Voluntary Sector Marketing, 13(3), 237–250. https://doi.org/10.1002/nvsm.326
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. https://doi.org/10.1080/23808985.2015.11679170
Spencer, S. J., Zanna, M. P., & Fong, G. T. (2005). Establishing a causal chain: Why experiments are often more effective than mediational analyses in examining psychological processes. Journal of Personality and Social Psychology, 89(6), 845–851. https://doi.org/10.1037/0022-3514.89.6.845
Stone-Romero, E. F., & Rosopa, P. J. (2008). The relative validity of inferences about mediation as a function of research design characteristics. Organizational Research Methods, 11(2), 326–352. https://doi.org/10.1177/1094428107300342
Suckfüll, M. (2010). Films that move us: Moments of narrative impact in an animated short film. Projections, 4(2), 41–63. https://doi.org/10.3167/proj.2010.040204
Sundar, S. S. (2004). Theorizing interactivity’s effects. The Information Society, 20(5), 385–389. https://doi.org/10.1080/01972240490508072
Tajfel, H. (1970). Experiments in intergroup discrimination. Scientific American, 223(5), 96–103. www.jstor.org/stable/24927662
Tajfel, H. (1974). Social identity and intergroup behaviour. Social Science Information, 13(2), 65–93. https://doi.org/10.1177/053901847401300204
Tajfel, H. (1982). Social psychology of intergroup relations. Annual Review of Psychology, 33, 1–39. https://doi.org/10.1146/annurev.ps.33.020182.000245
Tajfel, H., Billig, M. G., Bundy, R. P., & Flament, C. (1971). Social categorization and intergroup behaviour. European Journal of Social Psychology, 1(2), 149–178. https://doi.org/10.1002/ejsp.2420010202
Tajfel, H., & Turner, J. C. (1986). The social identity theory of intergroup behavior. In S. Worchel & W. G. Austin (Eds.), Psychology of intergroup relations (2nd ed., pp. 7–24). Nelson-Hall Publishers.
Terry, D. J., & Hogg, M. A. (1996). Group norms and the attitude-behavior relationship: A role for group identification. Personality and Social Psychology Bulletin, 22(8), 776–793. https://doi.org/10.1177/0146167296228002
Turner, J. C. (1982). Towards a cognitive redefinition of the social group. In H. Tajfel (Ed.), Social identity and intergroup relations (pp. 15–40). Cambridge University Press. https://doi.org/10.4135/9781446249222.n46
Turner, J. C., Hogg, M. A., Oakes, P. J., Reicher, S. D., & Wetherell, M. S. (1987). Rediscovering the social group: A self-categorization theory. Basil Blackwell Ltd.
Turner, J. C., Oakes, P. J., Haslam, S. A., & McGarty, C. (1994). Self and collective: Cognition and social context. Personality and Social Psychology Bulletin, 20(5), 454–463. https://doi.org/10.1177/0146167294205002
Turner, J. C., & Reynolds, K. J. (2012). Self-categorization theory. In P. A. M. Van Lange, A. W. Kruglanski, & E. T. Higgins (Eds.), Handbook of theories of social psychology (pp. 399–417). Sage.
Van Noort, G., Voorveld, H. A. M., & van Reijmersdal, E. A. (2012). Interactivity in brand web sites: Cognitive, affective, and behavioral responses explained by consumers’ online flow experience. Journal of Interactive Marketing, 26(4), 223–234. https://doi.org/10.1016/j.intmar.2011.11.002
Waddell, T. F., & Bailey, E. (2019). Is social television the “anti-laugh track?” testing the effect of negative comments and canned laughter on comedy reception. Psychology of Popular Media Culture, 8(1), 99–107. https://doi.org/10.1037/ppm0000154
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. https://doi.org/10.1080/08838151.2017.1309414
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. https://doi.org/10.1111/j.1468-2958.2010.01384.x
Wang, Z., Walther, J. B., & Hancock, J. T. (2009). Social identification and interpersonal communication in computer-mediated communication: What you do versus who you are in virtual groups. Human Communication Research, 35(1), 59–85. https://doi.org/10.1111/j.1468-2958.2008.01338.x
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. https://doi.org/10.1080/08838151.2017.1402903
Wirth, W., Hofer, M., & Schramm, H. (2012). Beyond pleasure: Exploring the eudaimonic entertainment experience. Human Communication Research, 38(4), 406–428. https://doi.org/10.1111/j.1468-2958.2012.01434.x
Xu, Q., & Sundar, S. S. (2016). Interactivity and memory: Information processing of interactive versus non-interactive content. Computers in Human Behavior, 63, 620–629. https://doi.org/10.1016/j.chb.2016.05.046Yanovitzky, I., Stewart, L. P., & Lederman, L. C. (2006). Social distance, perceived drinking by peers, and alcohol use by college students. Health Communication, 19(1), 1–10. https://doi.org/10.1207/s15327027hc1901_1

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