Evidence map›Paper›PMID 42678961›Full record

ArticlePloS one2026

Media framing of agricultural technology adoption in developing countries: Evidence from Juncao technology news coverage.

Ling Huang, Yunqing Zhang

Abstract read
In one paragraph

Article in PloS one, 2026. 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

2 authors.

Ling HuangInternational College, Fujian Agriculture and Forestry University, Fuzhou, China.
Yunqing ZhangInternational College, Fujian Agriculture and Forestry University, Fuzhou, China.ORCID 0000-0003-2597-5261

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Juncao technology, a key agricultural technology innovation for Sustainable Development Goals, is praised for boosting agricultural yields, reducing poverty, and restoring ecosystems, yet how media framing shapes adoption remains unclear. This study employs BERTopic for theme mining and NRC Emotion Lexicon for emotion analysis to examine English-language news coverage of Juncao technology in 13 developing countries, drawing on a self-built corpus published between 2019 and 2025. The BERTopic analysis identifies five dominant topics: government-led rice cultivation and farmer training for sustainable production; local agricultural development, ecological management, and poverty alleviation; the Belt and Road Initiative-international agricultural investment for a shared global community; provincial and intergovernmental official visits; and contributions to the UN SDGs through livestock production. Emotion analysis shows that positive emotions prevail, with Trust and Anticipation most salient. Trust is closely associated with international cooperation, particularly within the Belt and Road Initiative, while Anticipation reflects expectations of improved agricultural production and economic gains. Negative emotions target existing challenges such as poverty, food insecurity, and environmental degradation rather than Juncao itself, positioning the technology as a solution. These findings demonstrate that emotional framing plays a key role in shaping perceived advantages and fostering adoption of technology.

Indexed as

AgricultureMass MediaTechnologyDeveloping CountriesHumansSustainable Development

Identifiers

PMID42678961
PMCPMC13533395

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.