How To Take A Good Selfie?

Keywords

Rec-ommendation Models; Selfie; Sentiment Analysis; Social Media

Abstract

Selfies are now a global phenomenon. This massive number of self-portrait images taken and shared on social media is revolutionizing the way people introduce themselves and the circle of their friends to the world. While taking photos of oneself can be seen simply as recording personal memories, the urge to share them with other people adds an exclu-sive sensation to the Selfies. Due to the Big Data nature of Selfies, it is nearly impossible to analyze them manually. In this paper, we provide, to the best of our knowledge, the first Selfie dataset for research purposes with more than 46,000 images. We address interesting questions about self-ies, including how appearance of certain objects, concepts and attributes inuences the popularity of Selfies. We also study the correlation between popularity and sentiment in Selfie images. In a nutshell, from a large scale dataset, we automatically infer what makes a Selfie a good Selfie. We be-lieve that this research creates new opportunities for social, psychological and behavioral scientists to study Selfies from a large scale point of view, a perspective that best fits the nature of the Selfie phenomenon. Categories and Subject Descriptors: I.4 [Image Pro-cessing and Computer Vision]: Applications.

Publication Date

10-13-2015

Publication Title

MM 2015 - Proceedings of the 2015 ACM Multimedia Conference

Number of Pages

923-926

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1145/2733373.2806365

Socpus ID

84962812582 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/84962812582

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