Vicente, Paulo NunoBurnay, Catarina Duff2024-10-082024-10-082024-09-022673-5172http://hdl.handle.net/10400.14/46885Artificial intelligence (AI) technologies have been increasingly developed and applied in the audiovisual sector. Over-the-top (OTT) services, directly distributed to viewers via the Internet, are associated with a shift towards automation through algorithmic mediation in audiovisual content led by digital platforms. However, scientific knowledge regarding algorithmic recommender systems and automation in OTT services is not yet systemized; researchers, practitioners, and the public thus lack full awareness about the still largely opaque phenomena. To address this gap, we conduct a systematic literature review in the communication domain (2010–2022) and answer four key research questions: What research objectives have been pursued? What concepts have been developed and/or applied? What methodologies have been privileged? Which OTT platforms have received the most research attention? Challenges and opportunities are highlighted, and an agenda for future research is advanced.engAlgorithmsAmazon PrimeArtificial intelligence (AI)Disney+HBOHuluNetflixOver-the-top (OTT) servicesRecommender systemsjournal article10.3390/journalmedia503008085205059934001323988300001