Evidence map›Paper›PMID 36778583›Full record

ArticleLingua. International review of general linguistics. Revue internationale de linguistique generale2023

Modelability of WAR metaphors across time in cross-national COVID-19 news translation: An insight into ideology manipulation.

Yufeng Liu, Dennis Tay

Abstract readNews
In one paragraph

Article in Lingua. International review of general linguistics. Revue internationale de linguistique generale, 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

2 authors.

Yufeng LiuDepartment of Chinese and Bilingual Studies, The Hong Kong Polytechnic University, Hong Kong, PRC.
Dennis TayDepartment of English and Communication, The Hong Kong Polytechnic University, Hong Kong, PRC.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Previous studies have compared Covid metaphors across languages and national contexts, but seldom focus on the translation issue where news narratives of the same event may be different when translated for different readers. Another unexplored question is whether, and how, successive discursive observations across time in such narratives are related. To fill these gaps, this study employs the Box-Jenkins time series analysis (TSA) method to investigate whether and how WAR metaphor usage in Chinese-English COVID-19 news reports (source articles and their translations) can be fitted with ARIMA (Autoregressive Integrated Moving Average) models. These reports come from three different sources across the year 2020: the Chinese

Indexed as

ARIMA (Autoregressive Integrated Moving Average)Ideology manipulationMetaphorNews discourseNews translationTime series analysis (TSA)

Identifiers

PMID36778583
PMCPMC9894763

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.