Access the full text.
Sign up today, get DeepDyve free for 14 days.
Guided by a synthesis of social norms theory (SNT), the social identity model of deindividuation effects (SIDE) and information cascades theory (ICT), this study aims to unveil the mechanism underlying the role of social norms in shaping consumer responses to woke advertising in the algorithmic social media environment.Design/methodology/approachThis paper analyzed 125,481 unique comments on a woke campaign, which represented the dynamic social norms condition in which the prominence of popularity information sets a social norm that can be passed on through a sequential commenting process. Also, this paper conducted an experiment with two conditions, namely, static social norms condition, representing a situation in which the prominence of popularity information sets a social norm through a non-sequential commenting process; without social norms condition, epitomizing the situation in which there is no popularity information that can set a social norm.FindingsThe results revealed that when evaluating a social media-based woke ad, depersonalized consumers in a dynamic social norms condition were more likely to be influenced by the prevailing norms than those in a static social norms condition were.Originality/valueThrough the lens of ICT, this research extends SNT and SIDE by detailing the procedure regarding how perceived social norms shape the formation of consumer opinions in a sequential fashion.
Journal of Research in Interactive Marketing – Emerald Publishing
Published: Oct 15, 2021
Keywords: Woke advertising; Dynamic social norms; Comment ranking algorithms; Methodological triangulation; Information cascades
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.