Abstract:
In today's digital age, using online advertisements to reach and effect user decisions has become a de-facto standard for most companies. Several ground-breaking business ideas such as automated recommendations, search engine systems, and smart assistant technologies has made such advertisements possible, and very effective. However due to recent developments such as Cambridge Analytica indirectly effecting US elections, allegations Facebook and Youtube banning user accounts due to their political leaning create a very strong distrust among many online users. Through all this mistrust and uncertainty influence networks, modelling social network users as a graph and associating edges/vertices with weights representing their influence over each other, may provide alternatives for more transparent advertisement techniques. In this work, we aim to use influence network models for creating an advertisement platform for text-based advertisements and evaluate its effectiveness.