Evidence map›Paper›PMID 37809537›Full record

ArticleHeliyon2023

Shared sustainability: An analysis of the belt and road initiative agenda network of united nation news website.

Changhua Liu

Abstract readNews
In one paragraph

Article in Heliyon, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

1 author.

Changhua LiuCommunication University of Zhejiang, Hangzhou, 310018, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Belt and Road Initiative (BRI) is a global initiative that is gaining increasing attention, participation, and communication globally. However, most existing studies on BRI-related communication are based on BRI communication as the background. As an important theory of communication, network agenda-setting (NAS) theory, as an important theory of communication, is used to focus on an increasing number of objects that are rarely studied by international organizations. The United Nations (UN) news website, which is the official website of the largest international governmental organization, is available in nine languages (as of May 7, 2021), including Chinese, English, French, Russian, Arabic, Spanish, Portuguese, Swahili, and Hindi, providing news reports based on audience research. Thus, this study analyzed the BRI agenda network of UN's nine languages web pages, calculates BRI-related elements and correlation strength, and forms a multidimensional matrix in conjunction with the NAS theory. Finally, based on the summary statistics of the BRI agenda network, the UN news website agenda network was summarized and formed. The correlation strength of nine languages and 26 content pieces was analyzed using statistical principal components and cluster analysis. The result showed that the BRI agenda network of the UN news website had a strong link with the UN's sustainable development goals. Note that the BRI agendas in different languages can influence each other, making sustainability a crucial element for both BRI and the UN. In addition, the NAS theory can work within the same organization. However, there is still room for improvement in BRI's sustainable global discourse communication, such as audience analysis, language-ability building, and diversification of communication bodies and methods.

Indexed as

Belt and road initiativeDiscourse communicationNetwork agenda-setting theory (NAS)SustainabilityUN news website

Identifiers

PMID37809537
PMCPMC10558884

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

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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.