Evidence map›Paper›PMID 33552837›Full record

ArticleEPJ data science2021

The rhythms of the night: increase in online night activity and emotional resilience during the spring 2020 Covid-19 lockdown.

Maria Castaldo, Tommaso Venturini, Paolo Frasca, Floriana Gargiulo

Abstract read
In one paragraph

Article in EPJ data science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  4. Mental health culturomics.PLOS mental health · 2024
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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.

Maria CastaldoUniv. Grenoble Alpes, CNRS, Inria, Grenoble INP, GIPSA-lab, 11 rue des Mathématiques, F-38000 Grenoble, France.
Tommaso VenturiniCNRS, CIS-lab, 59 rue Pouchet, F-75017 Paris, France.
Paolo FrascaUniv. Grenoble Alpes, CNRS, Inria, Grenoble INP, GIPSA-lab, 11 rue des Mathématiques, F-38000 Grenoble, France.
Floriana GargiuloCNRS, GEMASS, 59 rue Puchet, F-75017 Paris, France.ORCID 0000-0001-9813-1815

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextThe lockdown orders established in multiple countries in response to the Covid-19 pandemic are arguably one of the most widespread and deepest shock experienced by societies in recent years. Studying their impact trough the lens of social media offers an unprecedented opportunity to understand the susceptibility and the resilience of human activity patterns to large-scale exogenous shocks. Firstly, we investigate the changes that this upheaval has caused in online activity in terms of time spent online, themes and emotion shared on the platforms, and rhythms of content consumption. Secondly, we examine the resilience of certain platform characteristics, such as the daily rhythms of emotion expression. DATA: Two independent datasets about the French cyberspace: a fine-grained temporal record of almost 100 thousand YouTube videos and a collection of 8 million Tweets between February 17 and April 14, 2020.

findingsIn both datasets we observe a reshaping of the circadian rhythms with an increase of night activity during the lockdown. The analysis of the videos and tweets published during lockdown shows a general decrease in emotional contents and a shift from themes like work and money to themes like death and safety. However, the daily patterns of emotions remain mostly unchanged, thereby suggesting that emotional cycles are resilient to exogenous shocks. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1140/epjds/s13688-021-00262-1.

Indexed as

Circadian rhythmsCovid-19Online attentionTwitterYoutube

Identifiers

PMID33552837
PMCPMC7848867

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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.