Dans une ère où la technologie et les données définissent l'expérience quotidienne, le microciblage comportemental émerge comme une stratégie clé dans la formation des perceptions individuelles et collectives. L'analyse de l'audience joue un rôle central, permettant de comprendre les motivations et les attitudes des groupes cibles, tandis que le da...
The focus of this work is the creation and application of an experimental framework that tests the effectiveness and the impacts of micro-targeted ads. Micro-targeted ads have been used extensively by both political and retail carriers to sway peoples’ opinion, but there haven’t been any academic studies (in an environmentwhich is not controlled) t...
This document supported the presentation given at the Conference 'Online Disinformation: Finding the silver bullet in the digital world' organised by ECAS at the European Economic and Social Committee, in Brussels. (November 12th, 2019) Panel: How far reaching is regulation? / status: Published online
This paper discusses the new phenomenon of platform ad archives. Over the past year, leading social media platforms have installed publicly accessible databases documenting their political advertisements, and several countries have moved to regulate them. If designed and implemented properly, ad archives can correct for structural informational asy...
Published in Customer Needs and Solutions
Recent developments in the field of artificial intelligence and data analytics are facilitating the automation of some consumer chores (e.g., in smart homes and in self-driving cars) and allow the emergence of big-data-driven, micro-targeting marketing practices (e.g., personalized content recommendation algorithms). We contend that those developme...
Published in Knowledge and Information Systems
It is crucial to segment customers intelligently in order to offer more targeted and personalized products and services. Traditionally, customer segmentation is achieved using statistics-based methods that compute a set of statistics from the customer data and group customers into segments by applying clustering algorithms. Recent research proposed...
