Abstract
From the cave paintings of early humans to the popularity of social media these days, it is understandable that for human beings self-expressing is a crucial need for all of us and social media has made it easier by posting content and express our thoughts about the other’s contents. Due to this urge and the competition that has been occurred by the concept of social media, the definition of so many entities has been changed. A good example can be beauty. Due to this issue, the ratio in plastic surgeries and editing the photos has been increased a lot. The interesting challenge is understanding how people present themselves and define their reality. Also, how to make a computer understand these behaviors and then categorize these users. In this paper, we are going to focus on twitter users and will introduce the useful features to feed the algorithm with, to make the analysis of the behavior of the users possible and have a better understanding of the self-presentation of the users on Twitter.
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Notes
- 1.
On social media verification is defined by receiving more likes, comments, retweets, views, etc.
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Shoeibi, N. (2021). Analysis of Self-presentation and Self-verification of the Users on Twitter. In: Rodríguez González, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-53829-3_25
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