Evidence map›Paper›PMID 36869402›Full record

ArticleBMC psychology2023

Mental time travel ability influences the representation of events and emotional expressions: evidence from microblogs.

Zaoyi Sun, Qingyan Li, Fei Luo, Liang Xu

Abstract read
In one paragraph

Article in BMC psychology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Zaoyi SunCollege of Education, Zhejiang University of Technology, Hangzhou, 310023, China. sunzaoyi@zjut.edu.cn.
Qingyan LiCollege of Education, Zhejiang University of Technology, Hangzhou, 310023, China.
Fei LuoCollege of Education, Zhejiang University of Technology, Hangzhou, 310023, China.
Liang XuCollege of Education, Zhejiang University of Technology, Hangzhou, 310023, China.

Funding

National Natural Science Foundation of China 32200885Natural Science Foundation of Zhejiang Province LQ22C090006Social Science Foundation of Zhejiang University of Technology GZ20511080007
6 · The paper itself

Abstract

Mental time travel (MTT) ability allows people to project themselves mentally into the past and future. It is associated with people's mental representation of events and objects. Using text analysis methods, we explore the linguistic representation and emotional expression of people with various MTT abilities. In Study 1, we assessed the users' MTT distances, text lengths, visual perspectives, priming effects of temporal words, and emotional valences by analyzing 2973 users' microblog texts. From our statistical analysis findings, users with far MTT incorporated longer text length and more third-person pronouns in their microblogs and are more likely to relate the future and past with the present than people with near MTT. However, the study showed no significant difference in emotional valence between people with different MTT distances. In Study 2, we explored the relationship between emotional valence and MTT ability by analyzing the comments of 1112 users on "procrastination." We found the users with far MTT more positive toward procrastination than those with near MTT. By analyzing users' social media platform data, this study re-examined and verified previous findings indicating that users who mentally travel different temporal distances represent events and emotional expressions differently. This study serves as an important reference for MTT studies.

Indexed as

ProcrastinationSocial MediaEmotionsHumansResearch DesignEmotional expressionsMental time travelMicroblogText representation

Identifiers

PMID36869402
PMCPMC9983154

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.