ArticleScientific reports2025
Dynamic analysis of barrage comments on sentimental influence and behavior.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
With the rapid advancement of the Internet, emerging social media platforms facilitate real-time interaction among users, thereby rendering the impact of sentiments on behavior both faster and more complex. Analyzing and predicting the influence of sentiments on behavioral changes under various factors has become a critical issue. Grounded in the Emotions as Social Information (EASI) theory, this study conducts a comprehensive dynamic analysis of user sentimental changes from both personal and interpersonal perspectives. We employ HanLP for sentiment analysis and utilize structural equation modeling (SEM) and chi-square tests to analyze and validate the impact of sentiments on behavior. The results indicate that positive personal sentiment changes in users significantly enhance their purchase intentions. Furthermore, different users exhibit varying sentimental changes in their self-imitation behaviors. While positive emotions significantly influence users' repetitive posting behavior, the effect of repeated video watching is less pronounced. This study, incorporating both real-time and video-time dimensions, dynamically validates that users who imitate others' behaviors display more consistent positive emotions, providing evidence for sentimental contagion in user behaviors.
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.