Evidence map›Paper›PMID 34282020›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2021

A method for measuring investigative journalism in local newspapers.

Eray Turkel, Anish Saha, Rhett Carson Owen, Gregory J Martin, Shoshana Vasserman

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2021. 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. Scarcity-driven monetization of digital content.Frontiers in research metrics and analytics · 2022
    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.

Eray TurkelGraduate School of Business, Stanford University, Stanford, CA 94305 eturkel@stanford.edu.ORCID 0000-0001-8028-8937
Anish SahaGraduate School of Business, Stanford University, Stanford, CA 94305.
Rhett Carson OwenGraduate School of Business, Stanford University, Stanford, CA 94305.
Gregory J MartinGraduate School of Business, Stanford University, Stanford, CA 94305.
Shoshana VassermanGraduate School of Business, Stanford University, Stanford, CA 94305.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Major changes to the operation of local newsrooms-ownership restructuring, layoffs, and a reorientation away from print advertising-have become commonplace in the last few decades. However, there have been few systematic attempts to characterize the impact of these changes on the types of reporting that local newsrooms produce. In this paper, we propose a method to measure the investigative content of news articles based on article text and influence on subsequent articles. We use our method to examine over-time and cross-sectional patterns in news production by local newspapers in the United States over the past decade. We find surprising stability in the quantity of investigative articles produced over most of the time period examined, but a notable decline in the last 2 y of the decade, corresponding to a recent wave of newsroom layoffs.

Indexed as

journalistic impactlocal newsmachine learning

Identifiers

PMID34282020
PMCPMC8325361

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.