Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 194 - 201
Опубликована: Дек. 5, 2024
Язык: Английский
Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 194 - 201
Опубликована: Дек. 5, 2024
Язык: Английский
Online Information Review, Год журнала: 2025, Номер unknown
Опубликована: Фев. 5, 2025
Purpose During the COVID-19 pandemic, an infodemic erupted on social media, leading to a surge in negative disclosure behaviors such as expressing dissatisfaction and releasing emotions. By extending elaboration likelihood model Big Five personality theory domain of online self-disclosure, we aimed identify factors that influence behavior. Design/methodology/approach We investigated how features information content, sources recipients’ perceptions media users disclose information. also examined moderating roles traits this process. To validate test our hypotheses, collected cross-sectional data from 456 users. Findings Empirical results reveal (1) overload, topic relevance, attractiveness sources, peer approval strengthen intention (2) The perception risk weakens (3) Openness experience, extraversion neuroticism relationship between actual Originality/value Our not only provide new perspectives decision-making mechanisms behind behavior but extend research within context dissemination Furthermore, it offers insights into platforms, with significant implications for various stakeholders.
Язык: Английский
Процитировано
0Information Processing & Management, Год журнала: 2025, Номер 62(4), С. 104160 - 104160
Опубликована: Март 31, 2025
Язык: Английский
Процитировано
0Lecture notes in computer science, Год журнала: 2024, Номер unknown, С. 194 - 201
Опубликована: Дек. 5, 2024
Язык: Английский
Процитировано
0