Social multimedia is fundamentally changing how we communicate, interact, and collaborate in our daily lives. Recent advances in multimedia computing attract an increase in the research on multimedia content analysis, indexing and retrieval based on subjective concepts such as emotion, aesthetics, and preference. Different from the traditional content-based retrieval methods, the affective social media computing aims to process affective content from social multimedia. As the availability of massive and heterogeneous social media data, the problem becomes challenging because it requires multidisciplinary understanding of content and perceptional cues from social multimedia. From the multimedia perspective, research relies on the theoretical and technological findings in affective computing, machine learning, pattern recognition, signal/multimedia processing, computer vision, speech processing, behavior and social psychology. Affective analysis of social multimedia is attracting growing attention from industry and businesses that provide social networking sites, content-sharing services, distribute and host the media.

The first ASMMC workshop has been successfully held in Xi?an, China on September 21 2015. The second ASMMC workshop will come to Seattle, USA, as an affiliated workshop of International Conference on Multimedia and Expo (ICME2016), a flagship conference on Multimedia. This workshop focuses on the analysis of affective signals in social multimedia (e.g.,twitter, weichat, weibo, youtube, facebook, etc). It seeks contributions on various aspects of affective computing in social multimedia on related theory, methodology, algorithms and techniques.