Evidence map›Paper›PMID 37155850›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

Fame through surprise: How fame-seeking mass shooters diversify their attacks.

Rayan Succar, Roni Barak Ventura, Maxim Belykh, Sihan Wei, Maurizio Porfiri

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

5 authors.

Rayan SuccarCenter for Urban Science and Progress, New York University, Brooklyn, NY 11201.ORCID 0000-0003-0927-3147
Roni Barak VenturaCenter for Urban Science and Progress, New York University, Brooklyn, NY 11201.ORCID 0000-0001-8186-3710
Maxim BelykhCenter for Urban Science and Progress, New York University, Brooklyn, NY 11201.
Sihan WeiCenter for Urban Science and Progress, New York University, Brooklyn, NY 11201.
Maurizio PorfiriCenter for Urban Science and Progress, New York University, Brooklyn, NY 11201.ORCID 0000-0002-1480-3539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mass shootings are becoming more frequent in the United States, as we routinely learn from the media about attempts that have been prevented or tragedies that destroyed entire communities. To date, there has been limited understanding of the modus operandi of mass shooters, especially those who seek fame through their attacks. Here, we explore whether the attacks of these fame-seeking mass shooters were more surprising than those of others and clarify the link between fame and surprise in mass shootings. We assembled a dataset of 189 mass shootings from 1966 to 2021, integrating data from multiple sources. We categorized the incidents in terms of the targeted population and shooting location. We measured "surprisal" (often known as "Shannon information content") with respect to these features, and we scored fame from Wikipedia traffic data-a commonly used metric of fame. Surprisal was significantly higher for fame-seeking mass shooters than non-fame-seeking ones. We also registered a significant positive correlation between fame and surprisal controlling for the number of casualties and injured victims. Not only do we uncover a link between fame-seeking behavior and surprise in the attacks but also we demonstrate an association between the fame of a mass shooting and its surprise.

Indexed as

FirearmsGun ViolenceHumansUnited Statesaggressionfame-seekerinformation theorymass shootingsurprisal

Identifiers

PMID37155850
PMCPMC10193991

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.