Evidence map›Paper›PMID 40121254›Full record

ArticleScientific reports2025

A study on the relationship between internet popularity and emotional perception of urban parks using Weibo data in Luoyang, China.

Yipeng Ge, Yafei Guo, Yueshan Ma, Songjie Ma, Yang Liu, Xinjie Qin

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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
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0citing papers in PubMed
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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

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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

6 authors.

Yipeng GeSchool of Civil Engineering and Architecture, Henan University of Science and Technology, Luolong District, Luoyang, 471023, Henan, China.
Yafei GuoSchool of Civil Engineering and Architecture, Henan University of Science and Technology, Luolong District, Luoyang, 471023, Henan, China.
Yueshan MaSchool of Civil Engineering and Architecture, Henan University of Science and Technology, Luolong District, Luoyang, 471023, Henan, China. Mys332ray@163.com.
Songjie MaLuoyang Land Reserve Center, Luoyang, China.
Yang LiuSchool of Civil Engineering and Architecture, Henan University of Science and Technology, Luolong District, Luoyang, 471023, Henan, China.
Xinjie QinSchool of Civil Engineering and Architecture, Henan University of Science and Technology, Luolong District, Luoyang, 471023, Henan, China.

Funding

Henan Provincial Philosophy and Social Sciences Planning Project 2023BSH005Henan Provincial Soft Science Project 242400411144
6 · The paper itself

Abstract

The role of Internet Popularity (INPY) in shaping public perception of urban parks is increasingly significant. Although existing studies have explored the impact of parks on public perception, they primarily focus on traditional environmental indicators (such as NDVI and GVI), overlooking the potential influence of INPY generated on social media on public emotions. This study aims to fill this gap by analyzing 41,675 social media data from Luoyang, China, quantifying emotional perception(ETPN), and using Multi-task and Hierarchical Linear regression models to explore the relationship between INPY, public perception, and urban parks. The results show: (1) INPY has varying degrees of positive influence on the Emotional Gradients (ETGD) from negative to positive, with the impact intensity increasing from low to high; (2) A 200-meter GVI is negatively correlated with negative emotions, whereas 500-meter and 1000-meter NDVI scales positively affect positive emotions; (3) Seasons affect emotional expression, particularly positive emotions. The study highlights that INPY mainly impacts positive emotions, while GVI and NDVI help mitigate negative emotions and enhance overall ETPN. These results provide urban planners with a new perspective on understanding the value of urban parks and offer scientific support for urban space optimization and policy-making.

Indexed as

EmotionsInternetParks, RecreationalSocial MediaChinaCitiesHumansPerceptionETPNGVIINPYNDVISocial media dataUrban parks

Identifiers

PMID40121254
PMCPMC11929854

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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.