Unpacking the narrative complexities of YouTube
Merve Özçelik & Julian Canjura
What the paper says
Abstract This paper introduces a conceptual framework for analyzing social media narratives as socio-technologically situated, multi-authored, and interactionally co-constructed phenomena. While narrative analyses of platforms like YouTube often isolate videos as self-contained stories, we argue that narratives on social media unfold across dynamic webs of interaction involving creators, commenters, viewers, and platform affordances and algorithms. Our framework expands what counts as a narrative on social media by tracing how stories are edited, framed, responded to, and algorithmically shaped across time. Focusing on a YouTube video of an Uber ride posted by a Turkish social media influencer in the US, we demonstrate how multiple co-tellers introduce new interpretations of the recorded events and reshape the narrative for subsequent viewers. By identifying co-tellers and tracing the trajectories of narratives, this framework allows analysts to better examine how narratives, thus discourses and ideologies, evolve, circulate, and impact audiences.
Evidence weight
Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40
| F · citation impact | 0.50 × 0.4 = 0.20 |
| M · momentum | 0.50 × 0.15 = 0.07 |
| V · venue signal | 0.50 × 0.05 = 0.03 |
| R · text relevance † | 0.50 × 0.4 = 0.20 |
† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.