@inproceedings{0fcbb30733f04cdabd376e161fc8511f,
title = "How happy you are: A computational study of social impact on self-esteem",
abstract = "People take the opportunity from social-networking sites like Facebook, to express themselves in various communities. Various studies address that it has influence over self-esteem of its users. In this paper, we analyse how the self-esteem of a person is affected in the computational world. To accomplish this, we built a computational model of esteem. A questionnaire-based survey was conducted to collect data for model verification. Different simulation experiments were conducted to compare and evaluate the model concerning findings from the literature and data. This model can be used as a useful input to provide support to people who are influenced by negative feedback.",
keywords = "Computational model, Self-esteem, Social pain",
author = "Fakhra Jabeen",
year = "2018",
doi = "10.1007/978-3-030-01159-8_10",
language = "English",
isbn = "9783030011581",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer - Verlag",
pages = "108--117",
editor = "Steffen Staab and Olessia Koltsova and Ignatov, {Dmitry I.}",
booktitle = "Social Informatics - 10th International Conference, SocInfo 2018, Proceedings",
note = "10th Conference on Social Informatics, SocInfo 2018 ; Conference date: 25-09-2018 Through 28-09-2018",
}