TY - GEN
T1 - Research Proposal on Enhancing Authenticity in Online Communication
T2 - 12th International Conference on Behavioural and Social Computing, BESC 2025
AU - Elfadl, Asma
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2026.
PY - 2026/4/1
Y1 - 2026/4/1
N2 - As online conversations become more prevalent, achieving genuine understanding across cultures remains a significant challenge. This study draws on Communication Accommodation Theory and Digital Nudging from behavioral economics to examine whether real-time LLM-generated nudges can enhance authenticity and mutual understanding during online interactions between users. Employing a controlled, mixed factorial experimental design, the research evaluates culturally adaptive LLMs feedback interventions within task-based chat scenarios. Preliminary findings showed the existence of misperceptions in digital communication. Previous empirical studies, conducted by the author and involving 599 participants from Arab and British user groups, have revealed distinct cultural preferences in communication styles and showed the existence of misperceptions. The proposed intervention in this proposal uses LLM-generated personalized feedback and digital nudges to help users recognize and adapt their communication styles in real time, so that it helps more compatibility amongst communicating parties. Results from this work are expected to provide actionable guidance for developers and researchers in behavioral and social computing, supporting the creation of more inclusive and authentic digital communities.
AB - As online conversations become more prevalent, achieving genuine understanding across cultures remains a significant challenge. This study draws on Communication Accommodation Theory and Digital Nudging from behavioral economics to examine whether real-time LLM-generated nudges can enhance authenticity and mutual understanding during online interactions between users. Employing a controlled, mixed factorial experimental design, the research evaluates culturally adaptive LLMs feedback interventions within task-based chat scenarios. Preliminary findings showed the existence of misperceptions in digital communication. Previous empirical studies, conducted by the author and involving 599 participants from Arab and British user groups, have revealed distinct cultural preferences in communication styles and showed the existence of misperceptions. The proposed intervention in this proposal uses LLM-generated personalized feedback and digital nudges to help users recognize and adapt their communication styles in real time, so that it helps more compatibility amongst communicating parties. Results from this work are expected to provide actionable guidance for developers and researchers in behavioral and social computing, supporting the creation of more inclusive and authentic digital communities.
KW - Authenticity
KW - Communication Styles
KW - Culture
KW - Nudge
KW - Social Media
UR - https://www.scopus.com/pages/publications/105035324909
U2 - 10.1007/978-981-95-7144-4_31
DO - 10.1007/978-981-95-7144-4_31
M3 - Conference contribution
AN - SCOPUS:105035324909
SN - 9789819571437
T3 - Lecture Notes in Computer Science
SP - 322
EP - 333
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 -