Hyper-Targeting and Personalized Content Delivery on Social Media

AbstractThe convergence of sophisticated algorithms and expansive user data has revolutionized thelandscape of digital marketing, particularly within the realm of social media, enabling hypertargeting and personalized content delivery with unprecedented precision. This paradigm shiftinvolves leveraging vast datasets, often unstructured, to derive insightful consumer knowledge,necessitating the application of advanced analytical techniques that extend beyond traditionalconsumer behavior research methodologies (Matz & Netzer, 2017). Computational social science,a discipline that applies methodologies from computer science to social science inquiries, hasemerged as a pivotal force in this arena (Matz & Netzer, 2017). This interdisciplinary approachnot only facilitates the development of computational models that elucidate the mechanisms ofinformation diffusion across social networks but also informs the design of effective computationalmethods for capturing the underlying data-generating processes, thereby enhancing the accuracy