Evidence map›Paper›PMID 35860641›Full record

ArticleComputational intelligence and neuroscience2022

Information Dissemination Model in Rural Live Broadcasting under Blockchain in the Era of Artificial Intelligence.

Jie Liu, Yahui Yu, Peng Ji, Danni Liu

RetractedAbstract readRetracted Publication
In one paragraph

Article in Computational intelligence and neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. 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

5 · Who and what money

Authors and funding

4 authors.

Jie LiuShanxi Normal University, Taiyuan, China.
Yahui YuCommunication University of Shanxi, Taiyuan 030000, China.ORCID https://orcid.org/0000-0002-1251-5795
Peng JiShanxi College of Application Science and Technology, Taiyuan 030000, China.
Danni LiuShanxi College of Application Science and Technology, Taiyuan 030000, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This work aims to improve the information dissemination atmosphere of rural live broadcasting and ensure its long-term development. First, it studies and analyzes the current situation and characteristics of rural live broadcasting. Then, it discusses the blockchain (BC) technology and information dissemination mode in the era of artificial intelligence (AI). Finally, the characteristics of BC technology (BT) and the information dissemination model are discussed. A BT-optimized susceptible exposed infected recovered (SEIR) information dissemination model is proposed. The results show that the BT-optimized SEIR model has no effect on the traditional information transmission characteristics and can ensure the conventional transmission of all information. Additionally, BT can effectively improve the overall transmission efficiency of the SEIR model for false information and accurate information and effectively shorten the duration. Specifically, the BT-optimized SEIR model's maximum false information transmission proportion is reduced by about 13%. The duration is reduced by 15 days over the traditional model. By comparison, in positive information dissemination, the maximum transmission proportion of the proposed BT-optimized SEIR model is about 19% higher than the traditional model. The duration is about 30 days longer. The research provides technical support for controlling and improving the current situation and atmosphere of rural live broadcasting information dissemination.

Indexed as

BlockchainArtificial IntelligenceInformation DisseminationTechnology

Identifiers

PMID35860641
PMCPMC9293503

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.