Paper Info
Title
Do Individuals Smile More in Diverse Social Company?: Studying Smiles and Diversity Via Social Media Photos.
Abstract
Photographs are one of the most fundamental ways for human beings to capture their social experiences and smiling is one of the most common actions associated with photo-taking. Photos, thus provide a unique opportunity to study the phenomena of mixing of different people and also the smiles expressed by individuals in these social settings. In this work, we study whether a social media-based computational framework can be employed to obtain smile and diversity scores at very fine, individual relationship resolution, and study their associations. We analyze two data sets from different social networks, Twitter and Instagram, over different time periods. Primarily looking at photographs, using computer vision APIs, we capture the diversity of social interactions in terms of age, gender, and race of those present, and smile levels. Analysis of both data sets suggest similar and significant findings: (a) people, in general, tend to smile more in the presence of others; and (b) people tend to smile more in a more diverse company. The results can help scale, test, and validate multiple theories related to affect and diversity in sociology, psychology, biology, and urban planning, and inform future mechanisms for encouraging people to smile more often in everyday settings
Year
DOI
Venue
2017
10.1145/3123266.3127908
MM '17: ACM Multimedia Conference Mountain View California USA October, 2017
Keywords
Field
DocType
Smile, diversity, happiness, faces, photos, images, Twitter, Instagram, social media
Social network,Social media,Psychology,Urban planning,Happiness,Multimedia
Conference
ISBN
Citations 
PageRank 
978-1-4503-4906-2
2
0.37
References 
Authors
11
3
Name
Order
Citations
PageRank
Vivek K. Singh135037.52
Akanksha Atrey250.82
Saket Hegde320.37