When do users change their profile information on twitter?
Open accessAbstract
We can see profile information such as name, description and location in order to know the user on social media. However, this profile information is not always fixed. If there is a change in the user's life, the profile information will be changed. In this study, we focus on user's profile information changes and analyze the timing and reasons for these changes on Twitter. The results indicate that the peak of profile information change occurs in April among Japanese users, but there was no such trend observed for English users throughout the year. Our analysis also shows that English users most frequently change their names on their birthdays, while Japanese users change their names as their Twitter engagement and activities decrease over time.
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Al expresar algo en su biografía, el usuario está tomando una posición, si no permanente, al menos más duradera que sus posteos.
“Si bien el acto de publicar mensajes y otras interacciones en Twitter puede tener más bien un carácter performativo (Papacharissi, 2012), al expresar algo en su biografía, el usuario está tomando una posición, si no permanente (Shima et al., 2017), al menos más duradera que sus posteos.”
From “Vital testimonio confirm󔦔: Polarización de fuentes y redes en el Caso Catrillanca en Twitter (2021) · cites this paper as Shima et al., 2017
The Introduction (p. 1) says Twitter users often change their profile information, supporting the qualification that a biography is not permanent. It also describes profiles as reflecting changes in users’ lives, but does not establish that biographies are more durable than posts. (LLM, conf=0.84)
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Research works printed but not linked: 8
- [1][1] K. Semertzidis, E. Pitoura, and P. Tsaparas, 'How People Describe Themselves on Twitter,' in Proceedings of the ACM SIGMOD Workshop on Databases and Social Networks , 2013, pp. 25-30. -
- [2][2] A. Mislove, S. L. Jørgensen, Y.-Y. Ahn, J.-P. Onnela, and J. N. Rosenquist, 'Understanding the Demographics of Twitter Users,' in Proceedings of the 5th International AAAI Conference on Weblogs and Social Media , 2011, pp. 554-557. -
- [3][3] J. S. Alowibdi, U. A. Buy, and P. Yu, 'Empirical Evaluation of Profile Characteristics for Gender Classification on Twitter,' in Proceedings of the 12th International Conference on Machine Learning and Applications , 2013, pp. 365-369. -
- [4][4] M. Vicente, J. P. Carvalho, and F. Batista, 'Using Unstructured Profile Information for Gender Classification of Portuguese and English Twitter Users,' in Proceedings of the 4th International Symposium on Languages, Applications and Technologies , 2015, pp. 57-64. -
- [5][5] M. M. Uddin, M. Imran, and H. Sajjad, 'Understanding Types of Users on Twitter,' arXiv.org , no. 1406.1335, 2014. -
- [6][6] J. Vainio and K. Holmberg, 'Highly tweeted science articles: who tweets them? An analysis of Twitter user profile descriptions,' Scientometrics , vol. 112, no. 1, pp. 345-366, 2017. -
- [7][7] Y. Liu, C. Kliman-Silver, and A. Mislove, 'The Tweets They Are aChangin: Evolution of Twitter Users and Behavior,' in Proceedings of the 8th International AAAI Conference on Weblogs and Social Media , 2014, pp. 305-314. -
- [8][8] P. Jain and P. Kumaraguru, 'On the Dynamics of Username Changing Behavior on Twitter,' in Proceedings of the 3rd IKDD Conference on Data Science , 2016.
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“Vital testimonio confirm󔦔: Polarización de fuentes y redes en el Caso Catrillanca en Twitter
Santos, M. L. B., Jaramillo Castro, O., & Aguirre, D. (2021) · Cuadernos.info · doi:10.7764/cdi.49.27509 · Cited by 7 · see citing works
- Authors
- Shima, J., Yoshida, M., & Umemura, K.
- Affiliations
- Toyohashi University of Technology (JP)
- Venue
- 2017 IEEE International Conference on Big Data (Big Data)
- Publisher
- IEEE
- Published
- 2017-12
- Pages
- 3119-3122
- OpenAlex
- W2770129864
- Cited by
- 7
- References
- 0
- Citations by year
- 2023: 2 · 2022: 1 · 2021: 2 · 2019: 2
- FWCI
- 1.74
- Type
- conference paper
- Language
- en
- Open access
- green
- arxiv.org
- Locations
- IEEE International Conference on Big Data (BigData) (publishedVersion)
- arXiv (Cornell University) (submittedVersion)
- arXiv (Cornell University)
- Funders
- Japan Society for the Promotion of Science (16K16155)
- Topics
- Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
- Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- Twitter, user profile data, temporal patterns, Japanese users, birthdays, user engagement, social media identity
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