معرفی
Anita Botta is a Researcher at Politecnico di Torino specializing in semiotic analysis of digital media platforms. Her work primarily focuses on how streaming services like Netflix create meaning through their algorithmic recommendation systems. The geographical distribution of her research impact shows significant activity across Europe (particularly Italy with 112 visits), North America (140 visits), and Asia (29 visits), indicating international scholarly engagement with her work.
Dr. Botta's research interests center on the intersection of semiotics and digital media, particularly examining how algorithmic systems interpret and categorize audiovisual content. Her work analyzes the 'tagging' processes used by streaming platforms to connect media content, questioning whether these systems adequately respond to viewers' interests by suggesting meaningful connections between texts. She develops sociosemiotic frameworks for analyzing film categorization and proposes alternative tagging approaches that better capture semantic similarities between stories.
Her two 2021 publications in @DIGITCULT demonstrate a consistent research trajectory examining how recommendation algorithms construct meaning in media consumption. Both studies employ sociosemiotic analysis to evaluate Netflix's recommendation system, with particular attention to science fiction content in the Italian catalog. Her research suggests guidelines for 'taggers' to improve the meaningfulness of user viewing experiences through more nuanced semantic connections.
Research activity metrics show consistent engagement with her work from 2021 through 2025, with notable spikes in 2024-2025, indicating growing scholarly interest in her analyses of algorithmic media systems. Her work appears to resonate particularly with scholars in media studies, digital humanities, and semiotics communities across multiple continents.
