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Understanding how user activities are related to profile images on Twitter through regression analysis

Authors:

Yoshinori HijikataAuthors Info & Claims

SAC '17: Proceedings of the Symposium on Applied Computing

Pages 1023 - 1030

https://doi.org/10.1145/3019612.3019810

Published: 03 April 2017 Publication History

Abstract

In this study, we explore the relationship between types of user activities (e.g., tweeting, replying) and categories of profile images of Japanese Twitter users. We divided profile images of Japanese Twitter users into thirteen categories, and examine how user activities are related to the categories through logistic regression analysis. We find that several types of user activities are significantly related to some categories of profile images (e.g. users in "associate" category, which is a group of users whose profile images includes others' faces, are found to prefer replying to others). Furthermore, we build logistic regression models that predict who belongs to a specific category or not. The model can accurately predict who belongs to the target category in some categories (e.g. "associate" category). Our results imply that profile images can be clues to know usage patterns of Twitter users.

References

[1]

F. Abel, Q. Gao, G. J. Houben, and K. Tao. Semantic Enrichment of Twitter Posts for User Profile Construction on the Social Web. The Semanic Web: Research and Applications, pages 375--389, 2011.

Digital Library

[2]

M. Aikawa, K. Senkai, C. Yasuda, H. Sakai, Y. Ogawa, and E. Umehara. Analysis of Tweets of Midnight Anime Programs through Twitter. Forum on Information Technology, 14(4):85--92, 2015.

[3]

H. Akaike. Information theory and an extension of the maximum likelihood principle. In Selected Papers of Hirotugu Akaike, pages 199--213. Springer, 1998.

[4]

N. J. Hum, P. E. Chamberlin, B. L. Hambright, A. C. Portwood, A. C. Schat, and J. L. Bevan. A picture is worth a thousand words: A content analysis of Facebook profile photographs. Computers in Human Behavior, 27(5):1828--1833, sep 2011.

Digital Library

[5]

A. N. Joinson. Self-disclosure in computer-mediated communication: The role of self-awareness and visual anonymity. European Journal of Social Psychology, 31(2):177--192, 2001.

[6]

S. Kapidzic. Narcissism as a predictor of motivations behind Facebook profile picture selection. Cyberpsychology, Behavior and Social Networking, 16(1):14--19, jan 2013.

[7]

Y. Kim, D. Sohn, and S. M. Choi. Cultural difference in motivations for using social network sites: A comparative study of American and Korean college students. Computers in Human Behavior, 27(1):365--372, 2011.

Digital Library

[8]

H. Kwak, C. Lee, H. Park, and S. Moon. What is Twitter, a Social Network or a News Media? In Proceedings of the International World Wide Web Conference, pages 591--600, 2010.

Digital Library

[9]

L. Liu, D. Preotiuc-Pietro, Z. R. Samani, M. E. Moghaddam, and L. Ungar. Analyzing Personality through Social Media Profile Picture Choice. In Tenth International AAAI Conference on Web and Social Media, 2016.

[10]

Y. Pan, F. Cong, K. Chen, and Y. Yu. Diffusion-aware personalized social update recommendation. In Proceedings of the 7th ACM conference on Recommender systems - RecSys'13, pages 69--76, New York, New York, USA, 2013. ACM Press.

Digital Library

[11]

D. Ramage, S. Dumais, and D. Liebling. Characterizing Microblogs with Topic Models. In Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, pages 130--137, 2010.

[12]

A. Siibak. Constructing masculinity on a social networking site. Young, 18(4):403--425, 2010.

[13]

A. Siibak and P. Hernwall. 'Looking like my favourite Barbie' - Online Gender Construction of Tween Girls in Estonia and in Sweden. Studies of Transition States and Societies, 3(2):57--68, 2011.

[14]

A. Vasalou, A. N. Joinson, and D. Courvoisier. Cultural differences, experience with social networks and the nature of "true commitment" in Facebook. International Journal of Human Computer Studies, 68(10):719--728, 2010.

Digital Library

[15]

C. Zhao and G. Jiang. Cultural differences on visual self-presentation through social networking site profile images. In Proceedings of the 2011 Annual Conference on Human Factors in Computing Systems - CHI'11, pages 1129--1132, New York, New York, USA, 2011. ACM Press.

Digital Library

[16]

S. Zhao, S. Grasmuck, and J. Martin. Identity construction on Facebook: Digital empowerment in anchored relationships. Computers in Human Behavior, 24(5):1816--1836, sep 2008.

Digital Library

[17]

W. X. Zhao, J. Jiang, J. Weng, J. He, E. Lim, H. Yan, and X. Li. Comparing Twitter and traditional media using topic models. Advances in Information Retrieval, pages 338--349, 2011.

Digital Library

Cited By

Mao YZhu YLiu YLin QLu HZhang F(2020)Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social mediaEnterprise Information Systems10.1080/17517575.2020.1856420(1-20)Online publication date: 18-Dec-2020
https://doi.org/10.1080/17517575.2020.1856420

Index Terms

Understanding how user activities are related to profile images on Twitter through regression analysis
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social engineering (social sciences)
    2. Empirical studies in collaborative and social computing
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction

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Published In

cover image ACM Conferences

SAC '17: Proceedings of the Symposium on Applied Computing

April 2017

2004 pages

ISBN:9781450344869

DOI:10.1145/3019612

Conference Chair:
Sung Y. Shin
South Dakota State University
,
Program Chairs:
Dongwan Shin
New Mexico Tech
,
Maria Lencastre
University of Pernambuco, Brazil

Copyright © 2017 ACM.

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New York, NY, United States

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Published: 03 April 2017

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Cited By

Mao YZhu YLiu YLin QLu HZhang F(2020)Classifying user connections through social media avatars and users social activities: a case study in identifying sellers on social mediaEnterprise Information Systems10.1080/17517575.2020.1856420(1-20)Online publication date: 18-Dec-2020
https://doi.org/10.1080/17517575.2020.1856420

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