TY - JOUR A1 - Kauer, Tobias A1 - Dörk, Marian A1 - Bach, Benjamin T1 - Towards Collective Storytelling T2 - IEEE Computer Graphics and Applications N2 - This work investigates personal perspectives in visualization annotations as devices for collective data-driven storytelling. Inspired by existing efforts in critical cartography, we show how people share personal memories in a visualization of COVID-19 data and how comments by other visualization readers influence the reading and understanding of visualizations. Analyzing interaction logs, reader surveys, visualization annotations, and interviews, we find that reader annotations help other viewers relate to other people's stories and reflect on their own experiences. Further, we found that annotations embedded directly into the visualization can serve as social traces guiding through a visualization and help readers contextualize their own stories. With that, they supersede the attention paid to data encodings and become the main focal point of the visualization. KW - Annotation KW - COVID-19 KW - Data Mining KW - Kartografie KW - Künstliche Intelligenz KW - Soziales Netzwerk KW - Visualisierung Y1 - 2025 UR - https://opus4.kobv.de/opus4-fhpotsdam/frontdoor/index/index/docId/3621 SN - 0272-1716 SN - 1558-1756 VL - 45 IS - 3 SP - 17 EP - 31 CY - New York ER -