Evidence map›Paper›PMID 36928780›Full record

ArticleNature human behaviour2023

Negativity drives online news consumption.

Claire E Robertson, Nicolas Pröllochs, Kaoru Schwarzenegger, Philip Pärnamets, Jay J Van Bavel, Stefan Feuerriegel

Abstract read
In one paragraph

Article in Nature human behaviour, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 2 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

55 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. 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

6 authors.

Claire E Robertson *Department of Psychology, New York University, New York, NY, USA.ORCID http://orcid.org/0000-0001-8403-6358
Nicolas Pröllochs *Department of Business and Economics, University of Giessen, Giessen, Germany.ORCID http://orcid.org/0000-0002-1835-7302
Kaoru SchwarzeneggerDepartment of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland.
Philip PärnametsDivision of Psychology, Department of Clinical Neuroscience, Karolinska Institutet, Stockholm, Sweden.ORCID http://orcid.org/0000-0001-8360-9097
Jay J Van BavelDepartment of Psychology, New York University, New York, NY, USA. jay.vanbavel@nyu.edu.ORCID http://orcid.org/0000-0003-2172-1184
Stefan FeuerriegelDepartment of Management, Technology and Economics, ETH Zurich, Zurich, Switzerland. feuerriegel@lmu.de.ORCID http://orcid.org/0000-0001-7856-8729

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Online media is important for society in informing and shaping opinions, hence raising the question of what drives online news consumption. Here we analyse the causal effect of negative and emotional words on news consumption using a large online dataset of viral news stories. Specifically, we conducted our analyses using a series of randomized controlled trials (N = 22,743). Our dataset comprises ~105,000 different variations of news stories from Upworthy.com that generated ∼5.7 million clicks across more than 370 million overall impressions. Although positive words were slightly more prevalent than negative words, we found that negative words in news headlines increased consumption rates (and positive words decreased consumption rates). For a headline of average length, each additional negative word increased the click-through rate by 2.3%. Our results contribute to a better understanding of why users engage with online media.

Indexed as

EmotionsInformation Seeking BehaviorInternetMass MediaCausalityHumans

Identifiers

PMID36928780
PMCPMC10202797

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.