The wisdom of social multimedia

Xin Jin, Andrew Gallagher, Liangliang Cao, Jiebo Luo, Jiawei Han

2010 · 132 citations · 18 references

Concepts

TL;DR

Social multimedia platforms such as Flickr, Facebook, and YouTube are widely used and increasingly serve as massive labeled data sources for computer vision, data mining, and multimedia research. The study aims to uncover global trends and sentiments by analyzing upload and download patterns on social multimedia sites. The authors treat each upload or view as an implicit vote, recording its time and location, and aggregate millions of such votes to extract collective wisdom. Aggregating these votes uncovers embedded wisdom useful for politics, economics, and marketing, and the authors suggest this opens a new research arena with significant societal impact.

Abstract

Social multimedia hosting and sharing websites, such as Flickr, Facebook, Youtube, Picasa, ImageShack and Photobucket, are increasingly popular around the globe. A major trend in the current studies on social multimedia is using the social media sites as a source of huge amount of labeled data for solving large scale computer science problems in computer vision, data mining and multimedia. In this paper, we take a new path to explore the global trends and sentiments that can be drawn by analyzing the sharing patterns of uploaded and downloaded social multimedia. In a sense, each time an image or video is uploaded or viewed, it constitutes an implicit vote for (or against) the subject of the image. This vote carries along with it a rich set of associated data including time and (often) location information. By aggregating such votes across millions of Internet users, we reveal the wisdom that is embedded in social multimedia sites for social science applications such as politics, economics, and marketing. We believe that our work opens a brand new arena for the multimedia research community with a potentially big impact on society and social sciences.

References

18