TY - GEN
T1 - Beyond Words
T2 - 12th International Conference on Behavioural and Social Computing, BESC 2025
AU - Elfadl, Asma
AU - Alshakhsi, Sameha
AU - Jiang, Nan
AU - Ali, Raian
AU - Yankouskaya, Ala
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026/2/24
Y1 - 2026/2/24
N2 - This study investigates the relationship between online communication styles and social well-being on social media. Drawing on data from 599 participants in the United Kingdom and Arab Gulf Cooperation Council (GCC) countries, we employed Latent Profile Analysis (LPA) to identify communication style profiles based on self-reported use across eight digital communication dimensions: ordered vs. unordered, direct vs. indirect, literate vs. oral, and being-centered vs. doing-centered. In both samples, two distinct profiles emerged: a lower engagement group and a higher engagement group, consistently and proportionally across the various communication styles. In the UK sample, individuals in the higher engagement profile marked by expressive and multi-modal communication, reported significantly greater social well-being on social media across four of five well-being domains: integration, contribution, actualization, and coherence. In contrast, no significant differences in social well-being on social media were observed across profiles in the Arab sample. A significant interaction between culture and communication profile confirmed that the relationship between communication style and social well-being on social media is moderated by cultural context. In addition, the results challenge the expectation that people can be profiled into distinct sets of communication styles, such as being high in one set of styles, e.g. direct and literate, and low in the opposite set, e.g. indirect and oral. Instead, people were profiled as generally high or low across all communication styles, though with varying levels within each. The results also challenge the assumption that active social media engagement universally enhances social well-being.
AB - This study investigates the relationship between online communication styles and social well-being on social media. Drawing on data from 599 participants in the United Kingdom and Arab Gulf Cooperation Council (GCC) countries, we employed Latent Profile Analysis (LPA) to identify communication style profiles based on self-reported use across eight digital communication dimensions: ordered vs. unordered, direct vs. indirect, literate vs. oral, and being-centered vs. doing-centered. In both samples, two distinct profiles emerged: a lower engagement group and a higher engagement group, consistently and proportionally across the various communication styles. In the UK sample, individuals in the higher engagement profile marked by expressive and multi-modal communication, reported significantly greater social well-being on social media across four of five well-being domains: integration, contribution, actualization, and coherence. In contrast, no significant differences in social well-being on social media were observed across profiles in the Arab sample. A significant interaction between culture and communication profile confirmed that the relationship between communication style and social well-being on social media is moderated by cultural context. In addition, the results challenge the expectation that people can be profiled into distinct sets of communication styles, such as being high in one set of styles, e.g. direct and literate, and low in the opposite set, e.g. indirect and oral. Instead, people were profiled as generally high or low across all communication styles, though with varying levels within each. The results also challenge the assumption that active social media engagement universally enhances social well-being.
KW - Communication Styles
KW - Latent profiles
KW - Social Media
KW - Social Well-being
UR - https://www.scopus.com/pages/publications/105032089571
U2 - 10.1007/978-981-95-7138-3_33
DO - 10.1007/978-981-95-7138-3_33
M3 - Conference contribution
AN - SCOPUS:105032089571
SN - 9789819571376
T3 - Lecture Notes in Computer Science
SP - 521
EP - 537
BT - Behavioural and Social Computing - 12th International Conference, BESC 2025, Proceedings
A2 - Hao, Tianyong
A2 - Velásquez, Juan
A2 - Li, Qing
A2 - Hu, Bin
A2 - Xu, Guandong
PB - Springer Science and Business Media Deutschland GmbH
Y2 - 16 October 2025 through 18 October 2025
ER -