Marketers commonly seed information about products and brands through individuals believed to be influential on social media, which often involves enlisting micro influencers, users who have accumulated thousands as opposed to millions of followers (i.e., other users who have subscribed to see that individual’s posts). Given an abundance of micro influencers to choose from, cues that help distinguish more versus less effective influencers on social media are of increasing interest to marketers. The authors identify one such cue: the number of users the prospective influencer is following. Using a combination of real-world data analysis and controlled lab experiments, they show that following fewer others, conditional on having a substantial number of followers, has a positive effect on a social media user’s perceived influence. Further, the authors find greater perceived influence impacts engagement with the content shared in terms of other users exhibiting more favorable attitudes toward it (i.e., likes) and a greater propensity to spread it (i.e., retweets). They identify a theoretically important mechanism underlying the effect: following fewer others conveys greater autonomy, a signal of influence in the eyes of others.
The majority of music people listen to in their daily lives includes lyrics. This research documents how more repetitive songs lyrically are processed more fluently and thus adopted more broadly and quickly in the marketplace. Study 1 is a controlled laboratory experiment demonstrating how lexical repetition, a feature of the stimulus and not the consequence of repeated exposures, results in greater processing fluency. Study 2 replicates the effect utilizing custom‐produced song excerpts holding everything constant except the lyrics. Utilizing data from Billboard's Hot 100 singles chart from 1958–2012, Study 3 documents how more repetitive songs stand a greater chance of reaching #1 as opposed to lingering at the bottom of the chart. An analysis of #1 hits reveals increased repetition decreases the time it takes to reach #1 and increases the odds of debuting in the Top 40. This research chronicles the impact of processing fluency on consumer choice in the real world while demonstrating repetition as a stimulus feature matters. It also introduces a new variable to the processing fluency literature: lexical repetition.
Social media may encourage novel ways of signaling that involve different purchase types (experiential vs. material), signaling frequencies (multiple vs. single signals) and other features unique to social media (e.g., hashtags). This work examines how purchase signals are received on social media and how these signaling variations affect signal receivers’ perceptions of the authenticity of social media posts as well as the overall impressions receivers form of the signal sender. Data collected across six experiments shows multiple material purchase signals lead to more negative impressions compared to multiple experiential purchase signals. Signal receivers perceive multiple material purchase posts as less authentic, which dampens their impressions of the signal sender. In line with this mechanism, the impression premium of experiential purchase signals disappears when receivers use other cues (monetary mentions, other users’ comments, and marketer associations via hashtags) to infer a signal’s lack of authenticity. Additional data also documents downstream consequences on engagement. This work contributes theoretically to research in both signaling and social media and improves the understanding of substantive situations in which consumers’ objectives of curating a positive image and creating engagement with their posts, collide with marketers’ objectives of encouraging user-generated content and word of mouth.
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