Evidence map›Paper›PMID 39021967›Full record

ArticleHeliyon2024

Examining the Postdictive Validity of Self-Report Big Five Personality Traits with Objective Recordings of Online Behaviors: A Ten-Year Retrospective Study Using Facebook Page Likes.

Davide Marengo, Michele Settanni

Abstract read
In one paragraph

Article in Heliyon, 2024. 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

2 authors.

Davide MarengoDepartment of Psychology, University of Turin, Italy.
Michele SettanniDepartment of Psychology, University of Turin, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The present study investigated the postdictive validity of self-report Big Five personality traits using over ten years of recording of online behaviors, namely Facebook Page Likes. We explored how personality traits correlate with interests and preferences expressed through Facebook Likes recorded up to ten years before the personality assessment and examined the consistency of these correlations over time. The recruited sample consisted of 601 adult Facebook users, predominantly young adults, with 73.70 % female and 26.30 % male participants. Facebook Page Likes data were analyzed using topic modeling techniques to extract meaningful indicators of individual difference in user interests. Findings revealed significant associations between personality traits and participants' interests as expressed using Likes over ten years of online activity. Conscientiousness showed consistent negative correlations with leisure and entertainment interests. Openness to Experience positively correlated with interests in artistic and cultural fields, including non-profit organizations, theaters, musicians, and entertainment and media. Extraversion demonstrated positive correlations with social entertainment, such as nightclubs and restaurants. Agreeableness and Emotional Stability did not show significant average associations. There was a negative correlation between the number of Likes and Conscientiousness, suggesting that individuals that are more conscientious express fewer Page Likes. Conversely, a positive correlation existed between Page Likes and Openness. Overall, correlations were small but mostly consistent over time, although correlations with the Openness trait suggested a stronger association with more recent interests. This research underscores the enduring influence of personality on online behaviors, including activity on social media.

Indexed as

Digital tracesLongitudinal dataPersonalitySocial mediaValidity

Identifiers

PMID39021967
PMCPMC11252878

What OpenQuestion holds

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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.