With the emergence of social media platforms such as Instagram, Snapchat, etc, sharing stories has become an essential part of people’s everyday lives. A visual multi-perspective story is a particular type of story that integrates pictures and ideas from different perspectives, it has also gained popularity as social platforms provide the opportunity for people to interact with others who have distinct backgrounds. However, storytelling is a labor-intensive process that requires expertise. Meanwhile, finding unbiased, first-hand visual sources is also an obstacle for novice creators due to the lack of reliable resources. We present CN API, a storytelling framework that helps motivated novice content creators create multi-perspective stories and scaffold sourcing relevant pictures collaboratively from participating perspective groups through a context-aware mechanism. We demonstrate the effectiveness of our framework and its capability of scaffolding authors to create representative multi-perspective stories.