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Headlines
Top 100 Branding Trends in February | Trend Hunter, 15 feb 2026
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Before You Automate Marketing With AI, Decide What Should Never Be Automated | Forbes, 13 feb 2026
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Can Customers Find Your Brand? Marketing Strategies for AI-Driven Search | MIT Sloan Management Review, 01 feb 2026
How New-Age Social Media Marketing Is Changing and What You Need to Know in 2026 | Business.com, 01 feb 2026
July 2023
Mohammad Anas Wahaj | 26 jul 2023
According to the recent research study, 'Influencer marketing and the growth of affiliates: The effects of language features on engagement behavior' (Authors: Parker J. Woodroof of University of Alabama at Birmigham; Holly A. Syrdal of Texas State University; William C. McDowell of Texas State University; Susan Myers of the University of Central Arkansas; Sandipan Sen of Southeast Missouri State University), published in the Journal of Business Research (August 2023), traditionally major brands have embraced affiliate marketing programs, but the factors influencing engagement with influencer-generated content have remained largely unexplored. To bridge this gap, the research team applied the Elaboration Likelihood Model to investigate how the linguistic features of influencers' affiliate marketing posts influence consumer behaviors. Wikipedia defines Elaboration Likelihood Model (ELM) of persuation, proposed by Richard E. Petty and John Cacioppo in 1980, as a dual process theory describing the change of attitudes. The model aims to explain different ways of processing stimuli, why they are used, and their outcomes on attitude change. ELM intended to provide a general 'framework for organizing, categorizing, and understanding the basic processes underlying the effectiveness of persuasive communications.' Authors of the current study text used text mining and natural language processing techniques and analyzed a vast data set of influencers' affiliate marketing posts from Instagram. The study revealed that specific linguistic styles within these posts can enhance or diminish engagement with the content. Prof. Parker J. Woodroof of University of Alabama at Birmigham, the lead author of the study, says, 'Affiliate influencer marketing is a good example of a social media marketing strategy that is evolving before our eyes in real time...now we see that the industry is maturing and dealing with new concerns around artificial intelligence, bots and fake followers, and brands are still trying to figure out how to utilize influencer marketing in order to drive value...Affiliate influencers offer companies a lower-risk strategy to partner with influencers utilizing a commission-based pay formula rather than an upfront investment, For smaller brands especially, utilizing affiliates may be the winning strategy moving forward.' Micro-influencers could establish trust with their followers and offer authentic brand recommendations, making them an integral part of brand strategies. The study represents a significant contribution to the field as it is the first to examine the impact of language cues on consumer engagement with influencer-generated affiliate marketing content. Moreover, the research helps to understand the dynamics of influencer affiliate marketing and its potential impact on marketing strategies. Read on...
UAB News:
New research reveals how influencers' words impact engagement in affiliate marketing on social media
Author:
Adam Pope
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