ReelLives

Development of filmic representations of social media content for individuals and groups using a mixture of semantic, content, and network analysis

ReelLives is a interdisciplinary project funded by EPSRC. ReelLives aims to combine our expertise and technologies in social media data processing and semantic extraction, with social science expertise in citizen identity, trust, and culture, to build tools for automatic generation of filmic, narrative structures from social media, that are easy to comprehend and edit and that allow for a simple comparison of one digital life with another

Partners

• Northumbria University
• Birmingham Business School
• The School of Informatics

Allan Third

Rachel Coignac-Smith

Farrow, E., Dickinson, T. and Aylett, M. (2015) Generating Narratives from Personal Digital Data: Using Sentiment, Themes, and Named Entities to Construct Storie, Demo at Human-Computer Interaction-INTERACT 2015

Aylett, M., Farrow, E., Pschetz, L. and Dickinson, T. (2015) Generating Narratives from Personal Digital Data: Triptychs, Poster at 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems, Seoul, South Korea

Dickinson, T., Fernandez, M., Thomas, L., Mulholland, P., Briggs, P. and Alani, H. (2015) Identifying Prominent Life Events on Twitter, 8th International Conference on Knowledge Capture, New York, America