arXiv:2606.15146v1 Announce Type: new Abstract: Stimulated word-of-mouth is a strategy that promotes information sharing through prompts or incentives. Optimizing stimulated word-of-mouth through social networks requires identifying and targeting connected users who are most susceptible to spillover, a phenomenon where the influence of recommendations extends beyond the immediate audience to impact their connected users. The probability of spillover varies across individuals, and their connections, leading to heterogeneity. Understanding and accurately estimating the spillover probabilities am
The increasing sophistication of AI models and the pervasive use of social networks make optimizing influence propagation a current research frontier.
Understanding how to maximize stimulated word-of-mouth through AI-driven targeting has significant implications for marketing, political campaigns, and information dissemination strategy.
The ability to more precisely identify and influence key individuals and their networks based on spillover probabilities changes how campaigns and marketing efforts are designed.
- · AI-driven marketing firms
- · Social media platforms
- · Political strategists
- · Behavioral scientists
- · Traditional advertising agencies
- · Organizations relying on broad-brush messaging
- · Unaffiliated content creators
More efficient and targeted social influence campaigns become possible for various objectives.
The improved understanding of social network dynamics could lead to new methods for combating misinformation or conversely, for its rapid spread.
Enhanced ability to predict and engineer social contagions could have ethical and regulatory implications regarding manipulation and individual autonomy online.
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