ArticleBehavioral sciences (Basel, Switzerland)2026
How Do Information Content and Language Style Relate to Disaster Information Dissemination? The Moderating Role of User Involvement.
Article in Behavioral sciences (Basel, Switzerland), 2026. 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Social media has become an important channel for information exchange during sudden disasters, with implications for both public-sector communication and corporate risk communication. However, limited research has examined how substantive message content and linguistic presentation jointly relate to online dissemination behaviour. This issue is also relevant to corporate risk management, as firms must respond to crises while managing stakeholder perceptions. Drawing on the Elaboration Likelihood Model (ELM) and Construal Level Theory (CLT), this study conceptualizes information richness and relevance as central-route cues, and specificity and interactive language as peripheral linguistic cues. User involvement is introduced as a motivational condition that may change the relative weight assigned to these cues. The empirical analysis uses 51,856 Weibo posts concerning the 2025 Tibet earthquake. OLS results show that all four message characteristics are positively associated with dissemination intensity, and that user involvement strengthens the associations of content-related cues while weakening those of linguistic cues. A supplementary negative binomial regression confirms the positive associations of information richness and interactive language, as well as the key interaction patterns, though the results for information relevance and specificity are less stable. These findings extend crisis communication research by showing that disaster-information dissemination is jointly associated with substantive content, linguistic presentation, and user involvement, and offer practical implications for organizations seeking to design clearer and more adaptive risk communication.
Indexed as
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.