Evidence map›Paper›PMID 32152105›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Brain activity forecasts video engagement in an internet attention market.

Lester C Tong, M Yavuz Acikalin, Alexander Genevsky, Baba Shiv, Brian Knutson

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

23 citing papers in PubMed, 60 citations in OpenAlex.

  1. Article
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  7. Brain activity of professional investors signals future stock performance.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  8. Article
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  12. Predicting Moral Elevation Conveyed in Danmaku Comments Using EEGs.Cyborg and bionic systems (Washington, D.C.) · 2023
    Article
  13. Article
  14. Engagement in digital interventions.The American psychologist · 2022
    Article
  15. Decision neuroscience and neuroeconomics: Recent progress and ongoing challenges.Wiley interdisciplinary reviews. Cognitive science · 2022
    Review
  16. Article
  17. Brain Activity Foreshadows Stock Price Dynamics.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2021
    Article
  18. Article
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  20. Brain activity forecasts video engagement in an internet attention market.Proceedings of the National Academy of Sciences of the United States of America · 2020
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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

5 authors at 2 institutions in 2 countries.

Lester C TongDepartment of Psychology, Stanford University, Stanford, CA 93405.ORCID 0000-0002-1930-9572
M Yavuz AcikalinGraduate School of Business, Stanford University, Stanford, CA 93405.
Alexander GenevskyRotterdam School of Management, Erasmus University, 3062 PA Rotterdam, the Netherlands.
Baba ShivGraduate School of Business, Stanford University, Stanford, CA 93405.
Brian KnutsonDepartment of Psychology, Stanford University, Stanford, CA 93405; knutson@stanford.edu.ORCID 0000-0002-7669-426X
Stanford University · USErasmus University Rotterdam · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The growth of the internet has spawned new "attention markets," in which people devote increasing amounts of time to consuming online content, but the neurobehavioral mechanisms that drive engagement in these markets have yet to be elucidated. We used functional MRI (FMRI) to examine whether individuals' neural responses to videos could predict their choices to start and stop watching videos as well as whether group brain activity could forecast aggregate video view frequency and duration out of sample on the internet (i.e., on youtube.com). Brain activity during video onset predicted individual choice in several regions (i.e., increased activity in the nucleus accumbens [NAcc] and medial prefrontal cortex [MPFC] as well as decreased activity in the anterior insula [AIns]). Group activity during video onset in only a subset of these regions, however, forecasted both aggregate view frequency and duration (i.e., increased NAcc and decreased AIns)-and did so above and beyond conventional measures. These findings extend neuroforecasting theory and tools by revealing that activity in brain regions implicated in anticipatory affect at the onset of video viewing (but not initial choice) can forecast time allocation out of sample in an internet attention market.

Indexed as

Choice BehaviorNervous System Physiological PhenomenaSocial MediaVideo RecordingAdultAttentionBrainCerebral CortexFemaleHumansInternetMagnetic Resonance ImagingMaleNucleus AccumbensPrefrontal CortexaccumbensFMRIforecastinginsulavideo

Identifiers

PMID32152105
PMCPMC7104008
OpenAlexW3009377595

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.