Interdependent self-construal and number of Twitter followers: consumer responses to alcohol industry corporate social responsibility (CSR) campaign on Twitter

References

• Alalwan, A.A., N.P. Rana, Y.K. Dwivedi, and R. Algharabat. 2017. Social media in marketing: A review and analysis of the existing literature. Telematics and Informatics 34, no. 7: 1177–90.
   Web of Science ®Google Scholar
• Alhabash, S., and A.R. McAlister. 2015. Redefining virality in less broad strokes: Predicting viral behavioral intentions form motivations and uses of Facebook and Twitter. New Media & Society 17, no. 8: 1317–39.
   Web of Science ®Google Scholar
• Babor, T.F., K. Robaina, K.K. Brown, J. Noel, M. Cremonte, D. Pantani, R.I. Peltzer, and I. Pinsky. 2018. Is the alcohol industry doing well by ‘doing good’? Findings from a content analysis of the alcohol industry’s actions to reduce harmful drinking. BMJ Open 8, no. 10: e024325.
   PubMed Web of Science ®Google Scholar
• Balasubramanian, S.K., Y. Fang, and Z. Yang. 2020. Twitter presence and experience improve corporate social responsibility outcomes. Journal of Business Ethics.
   Web of Science ®Google Scholar
• Barnhart, B. 2021. 8 Steps to get more Twitter followers. https://sproutsocial.com/insights/how-to-get-more-followers-on-twitter/.
   Google Scholar
• Baron, R.M., and D.A. Kenny. 1986. The moderator-mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. Journal of Personality and Social Psychology 51, no. 6: 1173–82.
   PubMed Web of Science ®Google Scholar
• Baskentli, S., S. Sen, S. Du, and C.B. Bhattacharya. 2019. Consumer reactions to corporate social responsibility: The role of CSR domains. Journal of Business Research 95: 502–13.
   Web of Science ®Google Scholar
• Berger, I.E., P.H. Cunningham, and R.V. Kozinets. 1999. Consumer persuasion through cause-related advertising. Advances in Consumer Research 26: 491.
   Google Scholar
• Bhattacharya, C.B., and S. Sen. 2004. Doing better at doing good: When, why, and how consumers respond to corporate social initiatives. California Management Review 47, no. 1: 9–24. no.
   Web of Science ®Google Scholar
• Buhrmester, M., T. Kwang, and S.D. Gosling. 2011. Amazon’s mechanical Truk: A new source of inexpensive, yet high-quality, data?Perspectives on Psychological Science 6, no. 1: 3–5.
   Web of Science ®Google Scholar
• Carroll, A.B. 2016. Carroll’s pyramid of CSR: Taking another look. International Journal of Corporate Social Responsibility 1, no. 1: 1–8.
   Google Scholar
• Chandler, J., and D. Shapiro. 2016. Conducting clinical research using crowdsourced convenience samples. Annual Review of Clinical Psychology 12: 53–81.
   PubMed Web of Science ®Google Scholar
• Chang, Y.-T., H. Yu, and H.-P. Lu. 2015. Persuasive messages, popularity cohesion, and message diffusion in social media marketing. Journal of Business Research 68, no. 4: 777–82.
   Web of Science ®Google Scholar
• Cozma, I. 2011. How are individualism and collectivism measured?Romanian Journal of Applied Psychology 13, no. 1: 11–7.
   Google Scholar
• Cross, S.E., and L. Madson. 1997. Models of the self: Self-construals and gender. Psychological Bulletin 122, no. 1: 5–37.
   PubMed Web of Science ®Google Scholar
• Cross, S.E., P.L. Bacon, and M.L. Morris. 2000. The relational-interdependent self-construal and relationships. Journal of Personality and Social Psychology 78, no. 4: 791–808.
   PubMed Web of Science ®Google Scholar
• Cross, S.E., E.E. Hardin, and B. Gercek-Swing. 2011. The what, how, why, and where of self-construal. Personality and Social Psychology Review 15, no. 2: 142–79.
   PubMed Web of Science ®Google Scholar
• De Veirman, M., V. Cauberghe, and L. Hudders. 2017. Marketing through Instagram influencers: the impact of number of followers and product divergence on Brand attitude. International Journal of Advertising 36, no. 5: 798–828.
   Web of Science ®Google Scholar
• Edwards, C., P.R. Spence, C. Gentile, A. Edwards, and A. Edwards. 2013. How much Klout do you have … a test of system generated cues on source credibility. Computers in Human Behavior 29, no. 5: A12–A16.
   Web of Science ®Google Scholar
• Ellison, N.B., and J. Vitak. 2015. Social network site affordances and their relationship to social capital processes. In The handbook of the psychology of communication technology, vol. 32, 205–27. Chichester, UK: John Wiley & Sons, Ltd.
   Google Scholar
• Faul, F., E. Erdfelder, A. Buchner, and A.-G. Lang. 2009. Statistical power analyses suing G*power 3.1: Tests for correlation and regression analyses. Behavior Research Methods 41, no. 4: 1149–60.
   PubMed Web of Science ®Google Scholar
• Glick, P., and S.T. Fiske. 2001. An ambivalent alliance: Hostile and benevolent sexism as complementary justifications for gender inequality. American Psychologist 56, no. 2: 109–18.
   PubMed Web of Science ®Google Scholar
• Graham, G.S. 2014. More than friends: Popularity on Facebook and its role in impression formation. Journal of Computer-Mediated Communication 19, no. 3: 358–72.
   Web of Science ®Google Scholar
• Grau, S.L., and J.A.G. Folse. 2007. Cause-related marketing (CRM): The influence of donation proximity and message-framing cues on the less-involved consumer. Journal of Advertising 36, no. 4: 19–33.
   Web of Science ®Google Scholar
• Gudykunst, W.B., Y. Matsumoto, S. Ting-Toomey, T. Nishida, K. Kim, and S. Heyman. 1996. The influence of cultural individualism-collectivism, self-construal’s and individual values on communication styles across cultures. Human Communication Research 22, no. 4: 510–43.
   Web of Science ®Google Scholar
• Haley, E. 1996. Organization as source: Consumers’ understandings of organizational sponsorship of advocacy advertising. Journal of Advertising 25, no. 2: 19–36.
   Web of Science ®Google Scholar
• Hayes, A.F. 2013. Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York, NY: Guilford Press.
   Google Scholar
• Hayes, A.F. 2018. Partial, conditional, and moderated moderated mediation: Quantification, inference, and interpretation. Communication Monographs 85, no. 1: 4–40.
   Web of Science ®Google Scholar
• Hong, S., and M. Pittman. 2020. eWOM anatomy of online product reviews: Interaction effects of review number, valence, and star ratings on perceived credibility. International Journal of Advertising 39, no. 7: 892–920.
   Web of Science ®Google Scholar
• Hu, Y., L.M. Lodish, and A.M. Krieger. 2007. An analysis of real world TV advertising tests: A 15-year update. Journal of Advertising Research 47, no. 3: 341–53.
   Web of Science ®Google Scholar
• Hur, W.-M., H. Kim, and J.H. Jang. 2016. The role of gender differences in the impact of CSR perceptions on corporate marketing outcomes. Corporate Social Responsibility and Environmental Management 23, no. 6: 345–57.
   Web of Science ®Google Scholar
• Iyengar, S.S., and M.R. Lepper. 1999. Rethinking the role of choice in intrinsic motivation: a cultural perspective. Journal of Personality and Social Psychology 76, no. 3: 349–66.
   PubMed Web of Science ®Google Scholar
• Jin, S.-A., and J. Phua. 2014. Following celebrities ‘tweets about brands: The impact of Twitter-based electronic word-of-mouth on consumers’ source credibility perception, buying intention, and social identification with celebrities. Journal of Advertising 43, no. 2: 181–95.
   Web of Science ®Google Scholar
• Kanagawa, C., S.E. Cross, and H. Markus. 2001. Who am I: The cultural psychology of the conceptual self. Personality and Social Psychology Bulletin 27, no. 1: 90–103.
   Web of Science ®Google Scholar
• Karson, E.J., and R.J. Fisher. 2005. Reexamining and extending the dual mediation hypothesis in an on-line advertising context. Psychology and Marketing 22, no. 4: 333–51.
   Web of Science ®Google Scholar
• Katz-Wise, S.L. 2020. Gender fluidity: What it means and why support matters. https://www.health.harvard.edu/blog/gender-fluidity-what-it-means-and-why-support-matters-2020120321544.
   Google Scholar
• Kent, M.L., and M. Taylor. 2016. From homo economicus to homo dialogicus: Rethinking social media use in CSR communication. Public Relations Review 42, no. 1: 60–51. no.
   Web of Science ®Google Scholar
• Kim, H., and H.R. Markus. 1999. Deviance or uniqueness, harmony or conformity? A cultural analysis. Personality Processes and Individual Differences 77, no. 4: 785–800.
   Web of Science ®Google Scholar
• Kim, H., Y. Seo, H.J. Yoon, J.Y. Han, and Y. Ko. 2021. The effects of user comment valence of Facebook health messages on intention to receive the flu vaccine: The role of pre-existing attitude towards the flu vaccine and psychological reactance. International Journal of Advertisin (ahead-of-print), 1-22.
   Web of Science ®Google Scholar
• Kim, J., H.J. Yoon, and S.Y. Lee. 2010. Integrating advertising and publicity: A theoretical examination of the effects of exposure sequence, publicity valence, and product attribute consistency. Journal of Advertising 39, no. 1: 97–113.
   Web of Science ®Google Scholar
• Kim, S., and Y.-J. Lee. 2012. The complex attribution process of CSR motives. Public Relations Review 38, no. 1: 168–70.
   Web of Science ®Google Scholar
• Kim, S., E. Haley, and G. Koo. 2009. Comparison of the paths from consumer involvement types to ad responses between corporate advertising and product advertising. Journal of Advertising 38, no. 3: 67–80.
   Web of Science ®Google Scholar
• Kühnen, U., and B. Hannover. 2000. Assimilation and contrast in social comparisons as a consequence of self-construal activation. European Journal of Social Psychology 30, no. 6: 799–811.
   Web of Science ®Google Scholar
• Leary, M.R. 2007. Motivational and emotional aspects of the self. Annual Review of Psychology 58, no. 1: 317–44.
   PubMed Web of Science ®Google Scholar
• Lecky, P. 1951. Self-consistency, a theory of personality. 2d ed. New York: Island Press.
   Google Scholar
• Lee, Y.H. 2000. Manipulating ad message involvement through information expectancy: Effects of attitude evaluation and confidence. Journal of Advertising 29, no. 2: 29–43.
   Web of Science ®Google Scholar
• Lee, Y.-J. 2017. Can Asian models be effective to white American consumers in values advocacy ads? The implications of collectivistic self-construal as a self-motive in the context of values. Journal of Current Issues & Research in Advertising 38, no. 1: 75–91.
   Google Scholar
• Lee, Y-J., E. Haley, and E. J. Avery. 2010. The role of gender and message strategy in the perception of advocacy advertising. Journal of Current Issues & Research in Advertising 32, no. 1: 47–55.
   Google Scholar
• Lee, Y.-J., E. Haley, and K. Yang. 2013. The mediating role of attitude towards values advocacy ads in evaluating issue support behavior and purchase intention. International Journal of Advertising 32, no. 2: 233–53.
   Web of Science ®Google Scholar
• Lee, Y.-J., N.H. O’Donnell, and S.J.T. Hust. 2019. Interaction effects of system generated information and consumer skepticism: An evaluation of issue support behavior in CSR campaigns. Journal of Interactive Advertising 19, no. 1: 15–28.
   Google Scholar
• Lee, Y.-J., H.J. Yoon, and N.H. O’Donnell. 2018. The effects of information cues on perceived legitimacy of companies that promote corporate social responsibility initiatives on social networking sites. Journal of Business Research 83: 202–14.
   Web of Science ®Google Scholar
• Lee, Y.-J., H.J. Yoon, and N.H. O’Donnell. 2020. The effect of number of followers cues and organization type on perceived social norm responses to CSR campaigns on social media: A gender comparison. Journal of Interactive Advertising 20, no. 3: 225–39.
   Google Scholar
• Lock, I., and C. Schulz-Knappe. 2019. Credible corporate social responsibility (CSR) communication predicts legitimacy: Evidence from an experimental study. Corporate Communications: An International Journal 24, no. 1: 2–20.
   Google Scholar
• Lock, I., and P. Seele. 2017. Measuring credibility perceptions in CSR communication: A scale development to test readers’ perceived credibility of CSR reports. Management Communication Quarterly 31, no. 4: 584–613.
   PubMed Web of Science ®Google Scholar
• Mackenzie, S.B., R.J. Lutz, and G.E. Belch. 1986. The role of attitude toward the ad as a mediator of advertising effectiveness: a test of competing explanations. Journal of Marketing Research 23, no. 2: 130–43.
   Web of Science ®Google Scholar
• Marion, M., and J. McCambridge. 2018. Alcohol industry corporate social responsibility initiatives and harmful drinking: a systematic review. European Journal of Public Health 28, no. 4: 664–73.
   PubMed Web of Science ®Google Scholar
• Markus, H.R., and D. Oyserman. 1989. Gender and thought: The role of the self-concept. In M. Crawford & M. Hamilton (Eds.), Gender and thought (pp. 100–127). New York: Springer-Verlag.
   Google Scholar
• Markus, H.R., and S. Kitayama. 1991. Culture and the self: Implications for cognition, emotion, and motivation. Psychological Review 98, no. 2: 224–53.
   Web of Science ®Google Scholar
• Matsumoto, D. 1999. Culture and the self: Implications for cognition, emotion and motivation. Psychological Review 98: 224–53.
   Google Scholar
• Metzger, M.J., A.J. Flanagin, and R.B. Medders. 2010. Social and heuristic approaches to credibility evaluation online. Journal of Communication 60, no. 3: 413–39.
   Web of Science ®Google Scholar
• Metzger, M.J., and A.J. Flanagin. 2013. Credibility and trust of information in online environments: The use of cognitive heuristics. Journal of Pragmatics 59: 210–20.
   Web of Science ®Google Scholar
• Miyamoto, Y., and S. Kitayama. 2002. Cultural variation in correspondence bias: The critical role of attitude diagnosticity of socially constrained behavior. Journal of Personality and Social Psychology 83, no. 5: 1239–48.
   PubMed Web of Science ®Google Scholar
• Nicholls, J. 2012. Everyday, everywhere: Alcohol marketing and social media-Current trends. Alcohol and Alcoholism 47, no. 4: 486–93.
   PubMed Web of Science ®Google Scholar
• Phua, J., and S.J. Ahn. 2016. Explicating the ‘like’ on Facebook Brand pages: The effect of intensity of Facebook use, number of overall ‘like’, and number of friends’ ‘likes’ on consumers’ Brand outcomes. Journal of Marketing Communication 22, no. 5: 1–16.
   Google Scholar
• Preacher, K.J., and A.F. Hayes. 2008. Asymptotic and resampling strategies for assessing and comparing indirect effects in multiple mediator models. Behavior Research Methods 40, no. 3: 879–91.
   PubMed Web of Science ®Google Scholar
• Putrevu, S. 2004. Exploring the origins of information processing differences-between men and women: Implications for advertisers. Academy of Marketing-Science Review 10: 1–14.
   Google Scholar
• Secord, P.F., and C.W. Backman. 1961. Personality theory and the problem of stability change in individual behavior: An interpersonal approach. Psychological Review 68, no. 1: 21–32.
   PubMed Web of Science ®Google Scholar
• Sen, S., S. Du, and C.B. Bhattacharya. 2016. Corporate social responsibility: A consumer psychology perspective. Current Opinion in Psychology 10: 70–5.
   Web of Science ®Google Scholar
• Shan, Y. 2016. How credible are online product reviews? The effects of self-generated and system-generated cues on source credibility evaluation. Computers in Human Behavior 55: 633–41.
   Web of Science ®Google Scholar
• Singelis, T.M. 1994. The measurement of independent and interdependent self-construals. Personality and Social Psychology Bulletin 20, no. 5: 580–91.
   Web of Science ®Google Scholar
• Singelis, T.M., H.C. Triandis, D.P.S. Bhawuk, and M.J. Gelfand. 1995. Horizontal and vertical dimensions of individualism and collectivism: a theoretical and measurement refinement. Cross-Cultural Research 29, no. 3: 240–75.
   Google Scholar
• Sundar, S.S. 2008. The MAIN model: A heuristic approach to understanding technology effects on credibility. In M.J. Metzger & A.J. Flanagin (Eds.), Digital media, youth, and credibility (pp. 73–100). Cambridge, MA: The MIT Press.
   Google Scholar
• Sundar, S.S., and C. Nass. 2001. Conceptualizing sources in online news. Journal of Communication 51, no. 1: 52–72.
   Web of Science ®Google Scholar
• Tajfel, H., and J.C. Turner. 2004. The social identity theory of intergroup behavior. In J.T. Jost & J. Sidanius (Eds.), Key readings in social psychology. Political psychology: Key readings (pp. 276–293). New York, NY: Psychology Press.
   Google Scholar
• Tong, S.T., B. Van Der Heide, L. Langwell, and J.B. Walther. 2008. Too much of a good thing? The relationship between number of friends and interpersonal impressions on Facebook. Journal of Computer-Mediated Communication 13, no. 3: 531–49.
   Web of Science ®Google Scholar
• Torelli, C. 2006. Individuality or conformity? The effects of independent and interdependent self-concepts on public judgements. Journal of Consumer Psychology 16, no. 3: 240–8.
   Web of Science ®Google Scholar
• Trafimow, D., H.C. Triandis, and S.G. Goto. 1991. Some tests of the distinction between the private self and the collective self. Journal of Personality and Social Psychology 60, no. 5: 649–55.
   Web of Science ®Google Scholar
• Triandis, H.C. 2002. Individualism-collectivism and personality. Journal of Personality 69, no. 6: 907–24.
   Web of Science ®Google Scholar
• Triandis, H.C., and M.J. Gelfand. 1998. Converging measurement of horizontal and vertical individualism and collectivism. Journal of Personality and Social Psychology 74, no. 1: 118–28.
   Web of Science ®Google Scholar
• Utz, S. 2010. Show me your friends and I will tell you what type of person you are: How one’s profile, number of friends, and type of friends influence impression formation on social network sites. Journal of Computer-Mediated Communication 15, no. 2: 314–35.
   Web of Science ®Google Scholar
• Uzunoğlu, E., S. Türkel, and B. Yaman Akyar. 2017. Engaging consumers through corporate social responsibility messages on social media: an experimental study. Public Relations Review 43, no. 5: 989–97.
   Web of Science ®Google Scholar
• Van Der Heide, B., B.K. Johnson, and M.H. Vang. 2013. The effects of product photographs and reputation systems on consumer behavior and product cost on eBay. Computers in Human Behavior 29, no. 3: 570–6.
   Web of Science ®Google Scholar
• Walther, J.B. 1992. Interpersonal effects in computer-mediated interaction: A relational perspective. Communication Research 19, no. 1: 52–90.
   Web of Science ®Google Scholar
• Walther, J.B., and M.R. Parks. 2002. Cues filtered out, cues filtered. In Handbook of interpersonal communication, vol. 3, 529–63. Thousand Oaks: Sage.
   Google Scholar
• Walther, J.B., B. Van Der Heide, L.M. Hamel, and H.C. Shulman. 2009. Self-generated versus other-generated statements and impressions in computer-mediated communication: A test of warranting theory using Facebook. Communication Research 36, no. 2: 229–53.
   Web of Science ®Google Scholar
• Westerman, D., P.R. Spence, and B. Van Der Heide. 2012. A social network as information: The effect of system-generated reports of connectedness on credibility on Twitter. Computers in Human Behavior 28, no. 1: 199–206.
   Web of Science ®Google Scholar
• Yoon, S., and T.-H. Lam. 2013. The illusion of righteousness: Corporate social responsibility practices of the alcohol industry. BMC Public Health 13, no. 1: 630
   Google Scholar
• Youn, S., and H. Kim. 2008. Antecedents of consumer attitudes toward cause-related marketing. Journal of Advertising Research 48, no. 1: 123–37.
   Web of Science ®Google Scholar