Evidence map›Paper›PMID 39730793›Full record

ArticleScientific reports2024

Multilingual SEIR public opinion propagation model with social enhancement mechanism and cross transmission mechanisms.

Suyalatu Dong, Linlin Xu, Zhong-Zhou Lan, Yana A, Fanyu Bu, Wu Hua, Qu Chunlai, Li Yifei, Gao Minjie, Ge Kai

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

10 authors.

Suyalatu DongCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China. srguleng_1983@163.com.
Linlin XuCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Zhong-Zhou LanCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Yana ACollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Fanyu BuCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Wu HuaCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Qu ChunlaiCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Li YifeiCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Gao MinjieCollege of Computer Information Management, Inner Mongolia University of Finance and Economics, Hohhot, 010070, Inner Mongolia, China.
Ge KaiSchool of Statistics and Mathematics, Inner Mongolia University of Finance and Economics, Hohhot, 010070, China.

Funding

First Class Discipline Research Special Project in Inner Mongolia Autonomous Region YLXKZX-NCD-011MOE (Ministry of Education in China) Humanities and Social Sciences Foundation 20YJC860005National Natural Science Foundation of China (NSFC) Regional Project 12262024National Natural Science Foundation of China (NSFC) Regional Project 12265020Natural Science Foundation of Inner Mongolia 2022MS01003Natural Science Foundation of Inner Mongolia 2023LHMS06018Special Fund for the Local Science and Technology Development of the Central Government 2022ZY0172Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region NJYT23097Young Talents of Science and Technology in Universities of Inner Mongolia Autonomous Region NJYT24066
6 · The paper itself

Abstract

The propagation of public opinion in multilingual environments presents unique challenges due to the diversity of languages, cultures, and values. This study develops an SEIR-based model tailored for multilingual contexts, incorporating mechanisms such as social enhancement, forgetting, and cross-transmission. The model's purpose is to improve transparency, inclusivity, and effectiveness in public opinion management, particularly in diverse linguistic settings. By emphasizing democratic engagement and avoiding social control, the model provides tools for managing public opinion that promote fairness and transparency. The model was validated using real Twitter data related to COVID-19 across multiple languages, including English, Spanish, and Catalan. Key results demonstrate that the model effectively captures the dynamics of opinion propagation, particularly in languages with fewer users, where opinion spread tends to be more predictable. By addressing cultural and linguistic differences, this study offers an inclusive approach to public opinion management. The inclusivity ensures that different cultural groups, regardless of language, are fairly represented in public discourse. This research contributes to the ethical management of public opinion, providing valuable insights for policymakers and analysts in multilingual societies.

Indexed as

COVID-19MultilingualismPublic OpinionHumansLanguageModels, TheoreticalSARS-CoV-2Social MediaCross-transmission mechanismMultilingual public opinionOptimal management strategySEIR modelSocial enhancement effect

Identifiers

PMID39730793
PMCPMC11681192

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.