Skip to main content Accessibility help
×
Hostname: page-component-848d4c4894-pjpqr Total loading time: 0 Render date: 2024-07-02T13:42:41.661Z Has data issue: false hasContentIssue false

18 - Online Social Interaction

from Part II - Interpersonal and Social Consumer Psychology

Published online by Cambridge University Press:  05 October 2015

Michael I. Norton
Affiliation:
Harvard Business School, Harvard University
Derek D. Rucker
Affiliation:
Kellogg School of Management, Northwestern University
Cait Lamberton
Affiliation:
Katz Graduate School of Business, University of Pittsburgh
Get access

Summary

Image of the first page of this content. For PDF version, please use the ‘Save PDF’ preceeding this image.'
Type
Chapter
Information
Publisher: Cambridge University Press
Print publication year: 2015

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Acquisti, A., & Gross, R. (2006). Imagined communities: Awareness, information sharing, and privacy on the Facebook. In Golle, P. & Danezis, G. (eds.) Proceedings of the 6th Workshop on Privacy Enhancing Technologies (pp. 3658). Cambridge, UK: Robinson College.CrossRefGoogle Scholar
Algesheimer, R., Dholakia, U. M., & Herrmann, A. (2005). The social influence of brand community: Evidence from European car clubs. Journal of Marketing, 69(3), 1934.CrossRefGoogle Scholar
Amabile, T. M. (1983). The Social Psychology of Creativity. New York: Springer-Verlag.CrossRefGoogle Scholar
Bacon, F. T. (1979). Credibility of repeated statements: Memory for trivia. Journal of Experimental Psychology: Human Learning & Memory, 5(3), 241252. doi:10.1037//0278–7393.5.3.241.Google Scholar
Bakshy, E. (2012). Rethinking Information Diversity in Networks. Facebook. Retrieved from www.facebook.com/notes/facebook-data-team/rethinking-information-diversity-in-networks/10150503499618859.Google Scholar
Bambauer-Sachse, S., & Mangold, S. (2013). Do consumers still believe what is said in online product reviews? A persuasion knowledge approach. Journal of Retailing and Consumer Services, 20(4), 373381. doi:10.1016/j.jretconser.2013.03.004.CrossRefGoogle Scholar
Barasch, A., & Berger, J. (2014). Broadcasting and narrowcasting: How audience size impacts what people share. Journal of Marketing Research, 140130091437001. doi:10.1509/jmr.13.0238.CrossRefGoogle Scholar
Baumeister, R. F., & Leary, M. R. (1995). The need to belong: Desire for interpersonal attachments as a fundamental human motivation. Psychological Bulletin, 117(3), 497529.Google Scholar
Belk, R. W. (2013). Extended self in a digital world. Journal of Consumer Research, 40(3), 477500. doi:10.1086/671052.CrossRefGoogle Scholar
Benedicktus, R. L., Brady, M. K., Darke, P. R., & Voorhees, C. M. (2010). Conveying trustworthiness to online consumers: Reactions to consensus, physical store presence, brand familiarity, and generalized suspicion. Journal of Retailing, 86(4), 322335. doi:10.1016/j.jretai.2010.04.002.Google Scholar
Berger, J., & Iyengar, R. (2013). Communication channels and word of mouth: How the medium shapes the message. Journal of Consumer Research, 40(3), 567579. doi:10.1086/671345.CrossRefGoogle Scholar
Bisgin, H., Agarwal, N., & Xu, X. (2012). A study of homophily on social media. World Wide Web, 15(2), 213232.Google Scholar
Bohnert, D., & Ross, W. H. (2010). The influence of social networking web sites on the evaluation of job candidates. Cyberpsychology, Behavior and Social Networking, 13(3), 341347. Retrieved from www.ncbi.nlm.nih.gov/pubmed/20557256.CrossRefGoogle ScholarPubMed
Boyd, D. M., & Ellison, N. B. (2008). Social network sites: Definition, history, and scholarship. Journal of Computer-Mediated Communication, 13, 210230.CrossRefGoogle Scholar
Chan, C., Berger, J., & Van Boyen, Leaf, (2012). Identifiable but not identical: Combining social identity and uniquenss motives in choice. Journal of Consumer Research, 39(3), 561573.Google Scholar
Cheema, A., & Kaikati, A. M. (2010). The effect of need for uniqueness on word of mouth. Journal of Marketing Research, XLVII(June), 553563.Google Scholar
Chen, Y., & Xie, J. (2005). Third-party product review and firm marketing strategy. Marketing Science, 24(2), 218240. doi:10.1287/mksc.l040.0089.Google Scholar
Cheung, C. M. K., Chiu, P.-Y., & Lee, M. K. O. (2011). Online social networks: Why do students use Facebook? Computers in Human Behavior, 27(4), 13371343. doi:10.1016/j.chb.2010.07.028.CrossRefGoogle Scholar
Chevalier, J. A., & Mayzlin, D. (2006). The effect of word of mouth on sales: Online book reviews. Journal of Marketing Research, 345(XLIII), 345354.CrossRefGoogle Scholar
Chintagunta, P. K., Gopinath, S., & Venkataraman, S. (2010). The effects of online user reviews on movie box office performance: Accounting for sequential rollout and aggregation across local markets. Marketing Science, 29(5), 944957. doi:10.1287/mksc.1100.0572.CrossRefGoogle Scholar
Christofides, E., Muise, A., & Desmarais, S. (2009). Information disclosure and control on Facebook: Are they two sides of the same coin or two different processes? Cyberpsychology & Behavior, 12(3), 341345. doi:10.1089/cpb.2008.0226.Google Scholar
Clemons, E. K., Gao, G., & Hitt, L. M. (2006). When online reviews meet hyperdifferentiation: A study of the craft beer industry. Journal of Management Information Systems, 23(2), 149171. doi:10.2753/MIS0742-1222230207.Google Scholar
Culnan, M. J. (2000). Protecting privacy online: Is self-regulation working? Journal of Public Policy & Marketing, 19(1), 2026.CrossRefGoogle Scholar
Culnan, M. J., & Armstrong, P. K. (1999). Information privacy concerns, procedural fairness, and impersonal trust: An empirical investigation. Organization Science, 10(1), 104115.CrossRefGoogle Scholar
De Vries, L., Gensler, S., & Leeflang, P. S. H. (2012). Popularity of brand posts on brand fan pages: An investigation of the effects of social media marketing. Journal of Interactive Marketing, 26(2), 8391. doi:10.1016/j.intmar.2012.01.003.CrossRefGoogle Scholar
Debatin, B., Lovejoy, J. P., Horn, A.-K., & Hughes, B. N. (2009). Facebook and online privacy: Attitudes, behaviors, and unintended consequences. Journal of Computer-Mediated Communication, 15(1), 83108. doi:10.1111/j.1083–6101.2009.01494.x.CrossRefGoogle Scholar
Dellarocas, C., Zhang, X. (Michael), & Awad, N. F. (2007). Exploring the value of online product reviews in forecasting sales: The case of motion pictures. Journal of Interactive Marketing, 21(4), 2345. doi:10.1002/dir.20087.Google Scholar
Dey, R., Jelveh, Z., & Ross, K. (2012). Facebook users have become much more private: A large-scale study. In 2012 IEEE International Conference on Pervasive Computing and Communications Workshops (pp. 346–352). Ieee. doi:10.1109/PerComW.2012.6197508.CrossRefGoogle Scholar
Emerson, R. (2011). 13 controversial Facebook firings: Palace guards, doctors, teachers, and more. Huffington Post. Retrieved from www.huffingtonpost.com/2011/10/17/facebook-firings_n_1003789.html#s375205title=Teen_Fired_For.Google Scholar
Escalas, J. E., & Stern, B. B. (2003). Sympathy and empathy: Emotional responses to advertising dramas. Journal of Consumer Research, 29, 566578.Google Scholar
Fogel, J., & Nehmad, E. (2009). Internet social network communities: Risk taking, trust, and privacy concerns. Computers in Human Behavior, 25(1), 153160. doi:10.1016/j.chb.2008.08.006.Google Scholar
Fogelin, R. (1988). Hume and Berkeley on the proofs of infinite divisibility. Philosophical Review, 97(1), 4769.CrossRefGoogle Scholar
Fournier, S., Senisper, S., McAlexander, J. H., & Shouten, J. W. (2001). Building brand community on the Harley-Davidson posse ride. Harvard Business School case 9-501-015.Google Scholar
Frost, J., Vermeulen, I. E., & Beekers, N. (2014). Anonymity versus privacy: Selective information sharing in online cancer communities. Journal of Medical Internet Research, 16(5), e126.Google Scholar
Fuchs, C., Prandelli, E., Schreier, M., & Dahl, D. W. (2013). All that is users might not be gold: How labeling products as user designed backfires in the context of luxury fashion brands. Journal of Marketing, 77(September), 7591.Google Scholar
Gershoff, A. D., & Koehler, J. J. (2011). Safety first? The role of emotion in safety product betrayal aversion. Journal of Consumer Research, 38(1), 140150. doi:10.1086/658883.CrossRefGoogle Scholar
Gershoff, A. D., Mukherjee, A., & Mukhopadhyay, A. (2003). Consumer acceptance of online agent advice: Extremity and positivity effects. Journal of Consumer Psychology, 13(1–2), 161170. doi:10.1207/S15327663JCP13–1&2_14.CrossRefGoogle Scholar
Gershoff, A. D., Mukherjee, A., & Mukhopadhyay, A. (2007). Few ways to love, but many ways to hate: Attribute ambiguity and the positivity effect in agent evaluation. Journal of Consumer Research, 33(4), 499505.Google Scholar
Gershoff, A. D., Mukherjee, A., & Mukhopadhyay, A. (2008). What's not to like? Preference asymmetry in the false consensus effect. Journal of Consumer Research, 35(1), 119125. doi:10.1086/524416.Google Scholar
Ghose, A., & Ipeirotis, P. G. (2011). Estimating the helpfulness and economic impact of product reviews: Mining text and reviewer characteristics. IEEE Transactions on Knowledge and Data Engineering, 23(10), 14981512. doi:10.1109/TKDE.2010.188.CrossRefGoogle Scholar
Godes, D., & Mayzlin, D. (2004). Using online conversations to study word-of-mouth communication. Marketing Science, 23(4), 545560. doi:10.1287/mksc.1040.0071.CrossRefGoogle Scholar
Goel, V. (2014). As data overflows online, researchers grapple with ethics. New York Times, August 12. Retrieved from www.nytimes.com/2014/08/13/technology/the-boon-of-online-data-puts-social-science-in-a-quandary.html.Google Scholar
Griffiths, M. D., Davies, M. N. O., & Chappell, D. (2004). Demographic factors and playing variables in online computer gaming. CyberPsychology & Behavior, 7(4), 479487. doi:10.1089/cpb.2004.7.479.CrossRefGoogle ScholarPubMed
Gross, R., & Acquisti, A. (2005). Information revelation and privacy in online social networks. Proceedings of WPES'05 (pp. 7180). Alexandria, VA: ACM. doi:10.1145/1102199.1102214.Google Scholar
Hamilton, R., Vohs, K. D., & McGill, A. (2014). We'll be honest, this won't be the best article you'll ever read: The use of dispreferred markers in word-of-mouth communication. Journal of Consumer Research, 41(1), 197212.CrossRefGoogle Scholar
Hampton, K. N., Goulet, L. S., Rainie, L., & Purcell, K. (2011). Social networking sites and our lives (pp. 1–85). Retrieved from http://pewinternet.org/Reports/2011/Technology-and-social-networks.aspx.Google Scholar
Hargadon, A. B., & Bechky, B. A. (2006). When collections of creatives become creative collectives: A field study of problem solving at work. Organization Science, 17(4), 484500.Google Scholar
Haslam, N. (2006). Dehumanization: An integrated review. Personality and Social Psychology Review, 10, 252264.Google Scholar
Hawkins, S. A., & Hoch, S. J. (1992). Low-involvement learning : Memory without evaluation. Journal of Consumer Research, 19(2), 212225.Google Scholar
He, S. X., & Bond, S. D. (2013). Word-of-mouth and the forecasting of consumption enjoyment. Journal of Consumer Psychology, 23(4), 464482. doi:10.1016/j.jcps.2013.04.001.Google Scholar
Ho-Dac, N. N., Carson, S. J., & Moore, W. L. (2013). The effects of positive and negative online customer reviews: Do brand strength and category maturity matter? Journal of Marketing, 77(November), 3753.Google Scholar
Hollenbeck, C. R., & Kaikati, A. M. (2012). Consumers’ use of brands to reflect their actual and ideal selves on Facebook. International Journal of Research in Marketing, 29(4), 395405. doi:10.1016/j.ijresmar.2012.06.002.Google Scholar
Ibrahim, Y. (2008). The new risk communities: Social networking sites and risk. International Journal of Media & Cultural Politics, 4(2), 245253.CrossRefGoogle Scholar
Jayanti, R. K., & Singh, J. (2010). Pragmatic learning theory: An inquiry-action framework for distributed consumer learning in online communities. Journal of Consumer Research, 36(6), 10581081. doi:10.1086/648689.Google Scholar
Johnson, E. J., & Goldstein, D. (2003). Do defaults save lives? Science, 302, 13381339.CrossRefGoogle ScholarPubMed
Khare, A., Labrecque, L. I., & Asare, A. K. (2011). The assimilative and contrastive effects of word-of-mouth volume: An experimental examination of online consumer ratings. Journal of Retailing, 87(1), 111126. doi:10.1016/j.jretai.2011.01.005.Google Scholar
Koehler, J. J., & Gershoff, A. D. (2003). Betrayal aversion: When agents of protection become agents of harm. Organizational Behavior and Human Decision Processes, 90(2), 244261. doi:10.1016/S0749–5978(02)00518-6.Google Scholar
Kozinets, R. V., Hemetsberger, a., & Schau, H. J. (2008). The wisdom of consumer crowds: Collective innovation in the age of networked marketing. Journal of Macromarketing, 28(4), 339354. doi:10.1177/0276146708325382.CrossRefGoogle Scholar
Kozinets, R. V, Valck, K. De, Wojnicki, A. C., & Wilner, S. J. S. (2010). Networked narratives: Understanding word-of-mouth marketing in online communities. Journal of Marketing, 74(March), 7189.Google Scholar
Krasnova, H., Kolesnikova, E., & Guenther, O. (2009). “It won't happen to me!”: Self-disclosure in online social networks. In AMCIS 2009 Proceedings (p. 343).Google Scholar
Kronrod, A., & Danziger, S. (2013). “Wii will rock you!” The use and effect of figurative language in consumer reviews of hedonic and utilitarian consumption. Journal of Consumer Research, 40(4), 726739. doi:10.1086/671998.Google Scholar
Lamberton, C. P., & Rose, R. L. (2012). When is ours better than mine? A framework for understanding and sharing systems. Journal of Marketing, 76(July), 109125.Google Scholar
Li, F., & Du, T. C. (2011). Who is talking? An ontology-based opinion leader identification framework for word-of-mouth marketing in online social blogs. Decision Support Systems, 51(1), 190197. doi:10.1016/j.dss.2010.12.007.CrossRefGoogle Scholar
Lovett, M. J., Peres, R., & Shachar, R. (2013). On brands and word of mouth. Journal of Marketing Research, L(August), 427–444.Google Scholar
Mathwick, C., Wiertz, C., & Ruyter, K. de. (2008). Social capital production in a virtual P3 community. Journal of Consumer Research, 34(6), 832849.Google Scholar
Mazer, J. P., Murphy, R. E., & Simonds, C. J. (2009). The effects of teacher self-disclosure via Facebook on teacher credibility. Learning, Media and Technology, 34(2), 175183. doi:10.1080/17439880902923655.CrossRefGoogle Scholar
McDonald, A. M., & Cranor, L. F. (2008). The cost of reading privacy policies. Journal of Law and Policy for the Information Society, 4(3), 540565.Google Scholar
McDuling, J. (2014). Why people quit Twitter. Quartz. Retrieved from http://qz.com/191524/why-people-quit-twitter/.Google Scholar
Mcpherson, M., Smith-Lovin, L., & Cook, J. M. (2001). Birds of a feather: Homophily in social networks. Annual Review of Sociology, 27(2001), 415444.Google Scholar
Meuter, M. L., Ostrom, A. L., Roundtree, R. I., & Bitner, M. J. (2000). Self-service technologies: Understanding customer satisfaction with technology-based service encounters. Journal of Marketing, 64(3), 5064.CrossRefGoogle Scholar
Moe, W. W., & Trusov, M. (2011). The value of social dynamics in online product ratings forums. Journal of Marketing Research, XLVIII(June), 444456.Google Scholar
Moore, S. G. (2012). Some things are better left unsaid: How word of mouth influences the storyteller. Journal of Consumer Research, 38(6), 11401154. doi:10.1086/661891.Google Scholar
Mudambi, S. M., & Schuff, D. (2010). What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Quarterly, 34(1), 185200.Google Scholar
Nadkarni, A., & Hofmann, S. G. (2012). Why do people use Facebook? Personality and Individual Differences, 52(3), 243249. doi:10.1016/j.paid.2011.11.007.Google Scholar
Naylor, R. W., Lamberton, C. P., & Norton, D. (2011). Seeing ourselves in others: Reviewer ambiguity, egocentric anchoring, and persuasion. Journal of Marketing Research, XLVIII(June), 617631.Google Scholar
Naylor, R. W., Lamberton, C. P., & West, P. M. (2012). Beyond the “like” button: The impact of mere virtual presence on brand evaluations and purchase intentions in social media settings. Journal of Marketing, 76(November), 105120.CrossRefGoogle Scholar
Packard, G., & Wooten, D. B. (2013). Compensatory knowledge signaling in consumer word-of-mouth. Journal of Consumer Psychology, 23(4), 434450. doi:10.1016/j.jcps.2013.05.002.Google Scholar
Park, D.-H., Lee, J., & Han, I. (2007). The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. International Journal of Electronic Commerce, 11(4), 125148. doi:10.2753/JEC1086-4415110405.Google Scholar
Park, S.-B., & Park, D.-H. (2013). The effect of low-versus high-variance in product reviews on product evaluation. Psychology and Marketing, 30(7), 543554. doi:10.1002/mar.Google Scholar
Peluchette, J., & Karl, K. (2008). Social networking profiles: An examination of student attitudes regarding use and appropriateness of content. CyberPsychology & Behavior, 11(1), 95–7. doi:10.1089/cpb.2007.9927.Google Scholar
Pew Research Center (2014). The Web at 25 in the U.S (pp. 1–40). Retrieved from www.pewinternet.org/files/2014/02/PIP_25th-anniversary-of-the-Web_0227141.pdf.Google Scholar
Punj, G. N. (2012). Do consumers who conduct online research also post online reviews? A model of the relationship between online research and review posting behavior. Marketing Letters, 24(1), 97108. doi:10.1007/s11002-012-9205-2.CrossRefGoogle Scholar
Robinson, S. L., & Morrison, E. W. (2000). The development of psychological contract breach and violation: A longitudinal study. Journal of Organizational Behavior, 21(June), 525547.Google Scholar
Rosengren, K. E., Wenner, L. A., & Palmgren, P. (eds.) (1985). Media Gratifications Research: Current Perspectives. London: Sage.Google Scholar
Rousseau, D. M. (2001). Schema, promise and mutuality: The building blocks of the psychological contract. Journal of Occupational and Organizational Psychology, 74(4), 511541. doi:10.1348/096317901167505.Google Scholar
Sanger, L. (2013). Internet silos. Edge.org. Retrieved from http://edge.org/response-detail/23777.Google Scholar
Schau, H. J., Muñiz, A. M. Jr., & Arnould, E. J. (2009). How brand community practices create value. Journal of Marketing, 73(September), 3051.CrossRefGoogle Scholar
Schellekens, G. A. C., Verlegh, P. W. J., & Smidts, A. (2010). Language abstraction in word of mouth. Journal of Consumer Research, 37(2), 207223. doi:10.1086/651240.Google Scholar
Schindler, R. M., & Bickart, B. (2012). Perceived helpfulness of online consumer reviews: The role of message content and style. Journal of Consumer Behaviour, 11(March), 234243. doi:10.1002/cb.Google Scholar
Schlosser, A. E. (2005). Posting versus lurking: Communicating in a multiple audience context. Journal of Consumer Research, 32(2), 260265.Google Scholar
Schlosser, A. E. (2011). Can including pros and cons increase the helpfulness and persuasiveness of online reviews? The interactive effects of ratings and arguments. Journal of Consumer Psychology, 21(3), 226239. doi:10.1016/j.jcps.2011.04.002.Google Scholar
Schlosser, A. E., & Shavitt, S. (2002). Anticipating discussion about a product: Rehearsing what to say can affect your judgments. Journal of Consumer Research, 29(1), 101115.CrossRefGoogle Scholar
Scholl, S. G., Greifeneder, R., & Bless, H. (2014). When fluency signals truth: Prior successful reliance on fluency moderates the impact of fluency on truth judgments. Journal of Behavioral Decision Making, 27(3), 268280. doi:10.1002/bdm.1805.Google Scholar
Sen, S., & Lerman, D. (2007). Why are you telling me this? An examination into negative consumer reviews on the web. Journal of Interactive Marketing, 21(4), 7694. doi:10.1002/dir.CrossRefGoogle Scholar
Sheldon, K. M., Abad, N., & Hinsch, C. (2011). A two-process view of Facebook use and relatedness need-satisfaction: Disconnection drives use, and connection rewards it. Journal of Personality and Social Psychology, 100(4), 766775. doi:10.1037/a0022407.Google Scholar
Soster, R. L., Boland, W. A., & Drenten, J. (2014). Digital consumption: adolescents cellphones, and the unintended creation of tethered identity. Paper presented at American Psychological Association Annual Convention (Division 23), Washington, DC, August.Google Scholar
Sridhar, S., & Srinivasan, R. (2012). Social influence effects in online product ratings. Journal of Marketing, 76(September), 7088.Google Scholar
Starbird, K., Maddock, J., Orand, M., Achterman, P., & Mason, R. M. (2014). Rumors, false flags, and digital vigilantes: Misinformation on Twitter after the 2013 Boston Marathon bombing. In iConference 2014 Proceedings. iSchools. doi:10.9776/14308.Google Scholar
Story, L. (2008). How do they track you? Let us count the ways. New York Times, March 3. Retrieved from http://bits.blogs.nytimes.com/2008/03/09/how-do-they-track-you-let-us-count-the-ways/.Google Scholar
Stutzman, F., & Kramer-Duffield, J. (2010). Friends only: Examining a privacy-enhancing behavior in Facebook. In Proceedings of the ACM Conference on Human Factors in Computing Systems (CHI ‘10) (pp. 15531562). ACM Press.Google Scholar
Sundie, J. M., Ward, J. C., Beal, D. J., Chin, W. W., & Geiger-Oneto, S. (2009). Schadenfreude as a consumption-related emotion: Feeling happiness about the downfall of another's product. Journal of Consumer Psychology, 19(3), 356373.Google Scholar
Sunstein, C. R. (2009). Republic.com 2.0. Princeton, NJ: Princeton University Press.Google Scholar
Tate, R. (2011). How Google spies on your gmail account (and how to stop it). Gawker. Retrieved from http://gawker.com/5800868/how-google-spies-on-your-gmail-account-and-how-to-stop-it.Google Scholar
Tice, D. M., Butler, J. L., Murayen, M. B., & Stillwell, A. M. (1995). When modesty prevails : Differential favorability of self-presentation to friends and strangers. Journal of Personality and Social Psychology, 69(6), 11201138.Google Scholar
Trusov, M., Bodapati, A. V, & Bucklin, R. E. (2010). Determining influential users in Internet social networks. Journal of Marketing Research, XLVII(August), 643658.Google Scholar
Tufekci, Z. (2008). Grooming, gossip, Facebook and Myspace. Information, Communication & Society, 11(4), 544564. doi:10.1080/13691180801999050.Google Scholar
Unkelbach, C. (2007). Reversing the truth effect: Learning the interpretation of processing fluency in judgments of truth. Journal of Experimental Psychology: Learning, Memory, and Cognition, 33(1), 219230. doi:10.1037/0278–7393.33.1.219.Google Scholar
Urban, G. L., Sultan, F., & Qualls, W. J. (2000). Placing trust at the center of your Internet strategy. Sloan Management Review, 42(1), 3948.Google Scholar
Wang, Y., Komanduri, S., Leon, P. G., Norcie, G., Acquisti, A., & Cranor, L. F. (2011). “I regretted the minute I pressed share”: A qualitative study of regrets on Facebook. In Symposium on Usable Privacy and Security (SOUPS) 2011 (pp. 113). Pittsburgh, PA.Google Scholar
Ward, J. C., & Ostrom, A. L. (2006). Complaining to the masses: The role of protest framing in customer-created complaint web sites. Journal of Consumer Research, 33(2), 220230.Google Scholar
Waytz, A., & Epley, N. (2012). Social connection enables dehumanization. Journal of Experimental Social Psychology, 48(1), 7076.Google Scholar
Weaver, K., Garcia, S. M., Schwarz, N., & Miller, D. T. (2007). Inferring the popularity of an opinion from its familiarity: A repetitive voice sounds like a chorus. Journal of Personality and Social Psychology, 92, 821833.Google Scholar
Weisbuch, M., Ivcevic, Z., & Ambady, N. (2009). On being liked on the web and in the “real world”: Consistency in first impressions across personal webpages and spontaneous behavior. Journal of Experimental Social Psychology, 45(3), 573576. doi:10.1016/j.jesp.2008.12.009.CrossRefGoogle ScholarPubMed
West, P. M., & Broniarczyk, S. M. (1998). Integrating multiple opinions: The role of aspiration level on consumer response to critic consensus. Journal of Consumer Research, 25(1), 3851.Google Scholar
Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362369. doi:10.1108/QMR-06-2013-0041.Google Scholar
Wilcox, K., & Stephen, A. T. (2013). Are close friends the enemy? Online social networks, self-esteem, and self-control. Journal of Consumer Research, 40(1), 90103. doi:10.1086/668794.Google Scholar
Wilson, R. E., Gosling, S. D., & Graham, L. T. (2012). A review of Facebook research in the social sciences. Perspectives on Psychological Science, 7(3), 203220. doi:10.1177/1745691612442904.Google Scholar
Wojcieszak, M. (2008). False consensus goes online: Impact of ideologically homogeneous groups on false consensus. Public Opinion Quarterly, 72(4), 781791. doi:10.1093/poq/nfn056.Google Scholar
Wojnicki, A. C., & Godes, D. B. (2011). Signaling Success: Strategically Positive Word of Mouth. Working Paper, Rotman School of Management, University of Toronto.Google Scholar
Wood, W., Pool, G. J., Leck, K., & Purvis, D. (1996). Self-definition, defensive processing, and influence: The normative impact of majority and minority groups. Journal of Personality and Social Psychology, 71(6), 11811193. Retrieved from www.ncbi.nlm.nih.gov/pubmed/8979385.Google Scholar
Wortham, J. (2012). Facebook responds to anger over proposed Instagram changes. New York Times, December 18. Retrieved from www.nytimes.com/2012/12/19/technology/facebook-responds-to-anger-over-proposed-instagram-changes.html?_r=0.Google Scholar
Yadav, M. S., & Pavlou, P. A. (2014). Marketing in computer-mediated environments: Research synthesis and new directions. Journal of Marketing, 78(1), 2040. doi:10.1509/jm.12.0020.Google Scholar
Yin, D., Bond, S. D., & Zhang, H. (2014). Anxious or angry? Effects of discrete emotions on the perceived helpfulness of online reviews. MIS Quarterly, 38(2), 539560.Google Scholar
Zhang, J. Q., Craciun, G., & Shin, D. (2010). When does electronic word-of-mouth matter? A study of consumer product reviews. Journal of Business Research, 63(12), 13361341. doi:10.1016/j.jbusres.2009.12.011.Google Scholar
Zhu, F., & Zhang, X. (Michael). (2010). Impact of online consumer reviews on sales: The moderating role of product and consumer characteristics. Journal of Marketing, 74(March), 133148.Google Scholar
Zhu, R. (Juliet), Dholakia, U. M., Chen, X. (Jack), & Algesheimer, R. (2012). Does online community participation foster risky financial behavior? Journal of Marketing Research, XLIX(June), 394407.Google Scholar
Zinkhan, G. M., Kwak, H., Morrison, M., & Peters, C. O. (2003). Web-based chatting: Consumer communication in cyberspace. Journal of Consumer Psychology, 13(1–2), 1727.Google Scholar

Save book to Kindle

To save this book to your Kindle, first ensure coreplatform@cambridge.org is added to your Approved Personal Document E-mail List under your Personal Document Settings on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part of your Kindle email address below. Find out more about saving to your Kindle.

Note you can select to save to either the @free.kindle.com or @kindle.com variations. ‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi. ‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.

Find out more about the Kindle Personal Document Service.

Available formats
×

Save book to Dropbox

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Dropbox.

Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

Available formats
×