Synopsis of Social media discussions

Overall, the social discussions reflect a cautious curiosity, with many posters highlighting the novelty of the data-driven approach and its potential significance, using words like 'robust,' 'new research,' and 'big data,' which convey both interest and recognition of the study's relevance.

A
Agreement
Neither agree nor disagree

The discussions show mixed reactions, with some acknowledging the robustness of the data-driven approach but others questioning its broader implications.

I
Interest
Moderate level of interest

Participants are generally interested, especially in the novelty of identifying four personality types across large datasets, indicated by phrases like 'new research' and 'big data.'

E
Engagement
Neutral engagement

The engagement appears moderate; some posts cite the study directly and discuss methodology, but few delve deeply into critique or detailed analysis.

I
Impact
Moderate level of impact

The discussions suggest moderate impact, with mentions of the research being a 'game changer' and references to its relevance in psychology and data science, indicating recognition of its significance.

Social Mentions

YouTube

3 Videos

Facebook

8 Posts

Twitter

10 Posts

Blogs

18 Articles

News

92 Articles

Reddit

2 Posts

Metrics

Video Views

291

Total Likes

7

Extended Reach

41,981

Social Features

133

Timeline: Posts about article

Top Social Media Posts

Posts referencing the article

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  • David Ashley Davies
    @DavidAshleyDavi (Twitter)

    @PaisleyJanine @RageSheen “A robust data-driven approach identifies four personality types across four large data sets” Gerlach et al, Nature Human Behaviour, 2018 https://t.co/xdIIaEIQh8
    view full post

    November 17, 2023

  • Jim Bloom
    @jimmyroybloom (Twitter)

    A robust data-driven approach identifies four personality types across four large data sets | Nature Human Behaviour https://t.co/eMU93hBF3m
    view full post

    December 14, 2022

  • 호모심비어스
    @kzaan (Twitter)

    이는 과학자들이 발표한 최초의 성격유형 연구 사례다. 관련 논문은 과학저널 ‘네이처 인간 행동(Nature Human Behavior)’에 게재됐다. 논문 제목은 ‘A robust data-driven approach identifies four personality types across four large data sets’. https://t.co/OpcN62jxwl
    view full post

    November 19, 2022

  • Talent Metrics LLC
    @Talent_metrics (Twitter)

    A robust data-driven approach identifies four personality types across four large data sets https://t.co/BBM475pGO8 #IOPsych #psychology #science #research #DataDriven
    view full post

    March 5, 2020

  • Huan Liu
    @liuhuan (Twitter)

    RT @FrontAIBigData: New Research: Commentary: A robust data-driven approach identifies four personality types across four large data sets h…
    view full post

    February 25, 2020

    1

  • Frontiers in AI & Big Data
    @FrontAIBigData (Twitter)

    New Research: Commentary: A robust data-driven approach identifies four personality types across four large data sets https://t.co/kI0FrTXuvz #BigData
    view full post

    February 25, 2020

    1

    1

  • Anton Pashkov
    @anton_pashkov03 (Twitter)

    A robust data-driven approach identifies four personality types across four large data sets https://t.co/Q2zbMfrAFT
    view full post

    September 22, 2019

  • Rina Saltman
    @rinatie_ceo (Twitter)

    RT @sendaitribune: (メモ)ヒトの性格の分類について、話はそう、単純ではないらしい。>>>A robust data-driven approach identifies four personality types across four large dat…
    view full post

    August 2, 2019

    1

  • 大隅典子@東北大学(『小説みたいに楽しく読める脳科学講義』羊土社より刊行)
    @sendaitribune (Twitter)

    (メモ)ヒトの性格の分類について、話はそう、単純ではないらしい。>>>A robust data-driven approach identifies four personality types across four large data sets. https://t.co/Pgbkdaa3fv
    view full post

    August 1, 2019

    2

    1

  • Stephen Pimentel
    @StephenPiment (Twitter)

    A robust data-driven approach identifies four personality types across four large data sets https://t.co/8EWgPi5yWZ
    view full post

    March 20, 2019

Abstract Synopsis

  • The study explores human personality by identifying four consistent personality types across four large datasets with over 15 million participants, offering a new approach to understanding personality classifications.
  • It addresses the controversy around personality types, noting that previous small-scale studies lacked reproducibility, but this research provides strong evidence for four distinct types using a data-driven method.
  • The findings also reveal that traditional clustering techniques might produce many false or spurious personality groups, emphasizing the need for more careful analysis when applying machine learning to big data in personality research.]