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Which social media posts generate the most buzz? Evidence from WeChat.

Authors :
She, Jie
Zhang, Tao
Chen, Qun
Zhang, Jianzhang
Fan, Weiguo
Wang, Hongwei
Chang, Qingqing
Source :
Internet Research. 2022, Vol. 32 Issue 1, p273-291. 19p.
Publication Year :
2022

Abstract

Purpose: Following the hierarchy-of-effects model, this study aims to propose a two-step process framework to investigate social media post efficacy via attraction and likes. Design/methodology/approach: The study analyzes 113,785 social media posts from 126 WeChat official accounts to explore how external (headline features and account type) and internal (content features and media type) features impact social media post attractions and likes, respectively. Findings: The antecedents of post attraction differ from those of post likes. First, headline features (punctuation, length, sentiment and lexical density) and account type significantly influence social media post attraction. Second, content features (depth, tone, domain specificity, lexical density and readability) and media type affect social media post likes. Originality/value: First, this study considers online user engagement as a two-step process regarding social media posts and explores different influencing factors. Second, the study constructs new variables (account type and domain specificity) in each stage of the two-step process model. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10662243
Volume :
32
Issue :
1
Database :
Academic Search Index
Journal :
Internet Research
Publication Type :
Academic Journal
Accession number :
154834851
Full Text :
https://doi.org/10.1108/INTR-12-2019-0534