The Effect of Popularity Cues and Peer Endorsements on Assertive Social Media Ads
Published Online:7 Jun 2024https://doi.org/10.1287/isre.2021.0606
References
- (2011) Location, location, location: An analysis of profitability of position in online advertising markets. J. Marketing Res. 48(6):1057–1073.Crossref, Google Scholar
- (2011) Creating social contagion through viral product design: A randomized trial of peer influence in networks. Management Sci. 57(9):1623–1639.Link, Google Scholar
- (2012) Social influence in social advertising. Faltings B, Leyton-Brown K, Ipeirotis P, eds. Proc. 13th ACM Conf. Electronic Commerce EC 12 (ACM Press, New York), 146–161.Google Scholar
- (2015) Do your online friends make you pay? A randomized field experiment on peer influence in online social networks. Management Sci. 61(8):1902–1920.Link, Google Scholar
- (1986) The moderator–mediator variable distinction in social psychological research: Conceptual, strategic, and statistical considerations. J. Personality Soc. Psych. 51(6):1173–1182.Crossref, Google Scholar
- (2015) Personalized online advertising effectiveness: The interplay of what, when, and where. Marketing Sci. 34(5):669–688.Link, Google Scholar
- (2017) This post is sponsored: Effects of sponsorship disclosure on persuasion knowledge and electronic word of mouth in the context of Facebook. J. Interactive Marketing 38(1):82–92.Crossref, Google Scholar
- (1989) Psychological reactance: Theory and applications. Adv. Consumer Res. 16(1):72–75.Google Scholar
- (2019) Relative privacy valuations under varying disclosure characteristics. Inform. Systems Res. 30(2):375–388.Link, Google Scholar
- (1984) Network items and the general social survey. Soc. Networks 6(4):293–339.Crossref, Google Scholar
- (2018) Stimulating online reviews by combining financial incentives and social norms. Management Sci. 64(5):2065–2082.Link, Google Scholar
- (1995) When attention-getting advertising tactics elicit consumer inferences of manipulative intent: The importance of balancing benefits and investments. J. Consumer Psych. 4(3):225–254.Crossref, Google Scholar
- (2000) Consumers use of persuasion knowledge: The effects of accessibility and cognitive capacity on perceptions of an influence agent. J. Consumer Res. 27(1):69–83.Crossref, Google Scholar
- (2021) Why do high-status people have larger social networks? Belief in status-quality coupling as a driver of network-broadening behavior and social network size. Organ. Sci. 32(1):111–132.Link, Google Scholar
- (2011) Online social interactions: A natural experiment on word of mouth vs. observational learning. J. Marketing Res. 48(2):238–254.Crossref, Google Scholar
- (2020) How different advertising formats and calls to action on videos affect advertising recognition and consequent behaviours. Service Industries J. 40(5–6):358–379.Crossref, Google Scholar
- (2006) The effect of word of mouth on sales: Online book reviews. J. Marketing Res. 43(3):345–354.Crossref, Google Scholar
- (2018) Channels of impact: User reviews when quality is dynamic and managers respond. Marketing Sci. 37(5):688–709.Link, Google Scholar
- (1980) Consumer behavior and psychological reactance. J. Consum. Res. 6(4):389–405.Crossref, Google Scholar
- (2019) Modeling the relationship between firm and user generated content and the stages of the marketing funnel. Internat. J. Res. Marketing 36(1):100–116.Crossref, Google Scholar
- (2008) A multi-stage model of word-of-mouth influence through viral marketing. Internat. J. Res. Marketing 25(3):151–163.Crossref, Google Scholar
- (2007) Exploring the value of online product reviews in forecasting sales: The case of motion pictures. J. Interactive Marketing 21(4):23–45.Crossref, Google Scholar
- (2017) Popularity or proximity: Characterizing the nature of social influence in an online music community. Inform. Systems Res. 28(1):117–136.Link, Google Scholar
- (2008) The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry. J. Retailing 84(2):233–242.Crossref, Google Scholar
- (2018) Does platform owner’s entry crowd out innovation? Evidence from Google photos. Inform. Systems Res. 29(2):444–460.Link, Google Scholar
- (2020) Why prosocial referral incentives work: The interplay of reputational benefits and action costs. J. Marketing Res. 57(1):156–172.Crossref, Google Scholar
- (2009) An empirical analysis of search engine advertising: Sponsored search in electronic markets. Management Sci. 55(10):1605–1622.Link, Google Scholar
- (2004) Using online conversations to study word-of-mouth communication. Marketing Sci. 23(4):545–560.Link, Google Scholar
- (2011) Online display advertising: Targeting and obtrusiveness. Marketing Sci. 30(3):389–404.Link, Google Scholar
- (2010) How e-WOM recommendations influence product consideration and quality of choice: A motivation to process information perspective. J. Bus. Res. 63(9–10):1041–1049.Crossref, Google Scholar
- (2020) Social advertising effectiveness across products: A large-scale field experiment. Marketing Sci. 39(6):1142–1165.Link, Google Scholar
- (2019) Motivating user-generated content with performance feedback: Evidence from randomized field experiments. Management Sci. 65(1):327–345.Link, Google Scholar
- (2017) Does “liking” lead to loving? The impact of joining a brand’s social network on marketing outcomes. J. Marketing Res. 54(1):144–155.Crossref, Google Scholar
- (2011) Network effects and personal influences: The diffusion of an online social network. J. Marketing Res. 48(3):425–443.Crossref, Google Scholar
- (2012) Go green! Should environmental messages be so assertive? J. Marketing 76(1):95–102.Crossref, Google Scholar
- (2016) From social to sale: The effects of firm-generated content in social media on customer behavior. J. Marketing 80(1):7–25.Crossref, Google Scholar
- (2019) Getting tagged, getting involved with news? A mixed-methods investigation of the effects and motives of news-related tagging activities on social network sites. J. Comm. 69(4):373–395.Crossref, Google Scholar
- (2013) When does retargeting work? Information specificity in online advertising. J. Marketing Res. 50(5):561–576.Crossref, Google Scholar
- Lee D, Hosanagar K, Harikesh SN (2018) Advertising content and consumer engagement on social media: Evidence from Facebook. Management Sci. 64(11):5105–5131.Google Scholar
- (2006) Word of mouth for movies: Its dynamics and impact on box office revenue. J. Marketing 70(3):74–89.Crossref, Google Scholar
- (2016) Why do adults engage in cyberbullying on social media? An integration of online disinhibition and deindividuation effects with the social structure and social learning model. Inform. Systems Res. 27(4):962–986.Link, Google Scholar
- (2001) Birds of a feather: Homophily in social networks. Annual Rev. Sociol. 27(1):415–444.Crossref, Google Scholar
- (2019) Selectively emotional: How smartphone use changes user-generated content. J. Marketing Res. 56(2):259–275.Crossref, Google Scholar
- (2013) On being persuaded: Some basic distinctions. Dillard JP, Shen L, eds. The SAGE Handbook of Persuasion: Developments in Theory and Practice (Sage Publications, Inc., Thousand Oaks, CA), 70–82.Google Scholar
- (2007) Psychological reactance and promotional health messages: The effects of controlling language, lexical concreteness, and the restoration of freedom. Human Comm. Res. 33(2):219–240.Google Scholar
- (1995) Diffusion of Innovations, 4th ed. (Free Press, New York).Google Scholar
- (2005) Bayesian Statistics and Marketing (John Wiley & Sons, Hoboken, NJ).Crossref, Google Scholar
- (2011) Zooming in on paid search ads: A consumer-level model calibrated on aggregated data. Marketing Sci. 30(5):789–800.Link, Google Scholar
- (2012) A latent instrumental variables approach to modeling keyword conversion in paid search advertising. J. Marketing Res. 49(3):306–319.Crossref, Google Scholar
- (2019) In “likes” we trust: Likes, disclosures and firm-serving motives on social media. Eur. J. Marketing 53(10):2173–2192.Crossref, Google Scholar
- (2015) Antecedents to psychological reactance: The impact of threat, message frame, and choice. Health Comm. 30(10):975–985.Crossref, Google Scholar
- (2013) Network structure and observational learning: Evidence from a location-based social network. J. Management Inform. Systems 30(2):185–212.Crossref, Google Scholar
- (2005) Deflecting reactance: The role of similarity in increasing compliance and reducing resistance. Basic Appl. Soc. Psych. 27(3):277–284.Crossref, Google Scholar
- (2019) Integration in emerging social networks explains academic failure and success. Proc. Natl. Acad. Sci. USA 116(3):792–797.Crossref, Google Scholar
- (2012) Social networks and the diffusion of user-generated content: Evidence from YouTube. Inform. Systems Res. 23(1):23–41.Link, Google Scholar
- (2014) Social networks, personalized advertising, and privacy controls. J. Marketing Res. 51(5):546–562.Crossref, Google Scholar
- (2016) Social advertising: How advertising that explicitly promotes social influence can backfire. Preprint, submitted December 23, https://dx.doi.org/10.2139/ssrn.1975897.Google Scholar
- (2020) Assertive ads for want or should? It depends on consumers’ power. J. Consumer Psych. 30(3):466–485.Crossref, Google Scholar
- (2008) Getting too personal: Reactance to highly personalized email solicitations. Marketing Lett. 19(1):39–50.Crossref, Google Scholar
- (2010) Analyzing the relationship between organic and sponsored search advertising: Positive, negative, or zero interdependence? Marketing Sci. 29(4):602–623.Link, Google Scholar
- (2012) Impact of social network structure on content propagation: A study using YouTube data. Quant. Marketing Econom. 10(1):111–150.Crossref, Google Scholar
- (2017) Just do it! Why committed consumers react negatively to assertive ads. J. Consumer Psych. 27(3):287–301.Crossref, Google Scholar

