Evidence map›Paper›PMID 38823651›Full record

ArticlePreventive medicine2024

Associations between news coverage, social media discussions, and search trends about celebrity deaths, screening, and other colorectal cancer-related events.

Jiawei Liu, Jeff Niederdeppe, Chau Tong, Drew Margolin, Rumi Chunara, Tanner Smith, Andy J King

Abstract read
In one paragraph

Article in Preventive medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Observational
  4. Observational
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

7 authors.

Jiawei LiuJeb E. Brooks School of Public Policy, Cornell University, Ithaca, NY, United States of America. Electronic address: jl3992@cornell.edu.
Jeff NiederdeppeJeb E. Brooks School of Public Policy, Cornell University, Ithaca, NY, United States of America; Department of Communication, Cornell University, Ithaca, NY, United States of America.
Chau TongMissouri School of Journalism, University of Missouri, Columbia, MO, United States of America; MU Institute for Data Science and Informatics, University of Missouri, Columbia, MO, United States of America.
Drew MargolinDepartment of Communication, Cornell University, Ithaca, NY, United States of America.
Rumi ChunaraDepartment of Biostatistics, New York University, New York City, NY, United States of America; Department of Computer Science & Engineering, New York University, New York City, NY, United States of America.
Tanner SmithDepartment of Communication, University of Missouri, Columbia, MO, United States of America.
Andy J KingCancer Control & Population Sciences, Huntsman Cancer Institute, Salt Lake City, UT, United States of America; Department of Communication, University of Utah, Salt Lake City, UT, United States of America.

Funding

UTAH REGIONAL CANCER CENTERP30CA042014 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Jared P Rutter · 1986 to 2026
$72.6M
Using Natural Language Processing and Crowdsourcing to Monitor and Evaluate Public Information and Communication Disparities about Colon Cancer ScreeningR37CA259156 · NCI · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Andy J King · 2021 to 2026
$2.3M
NCI NIH HHS P30 CA042014NCI NIH HHS R37 CA259156
6 · The paper itself

Abstract

objectiveColorectal cancer (CRC) is the third leading cause of cancer death among both men and women in the United States. CRC-related events may increase media coverage and public attention, boosting awareness and prevention. This study examined associations between several types of CRC events (including unplanned celebrity cancer deaths and planned events like national CRC awareness months, celebrity screening behavior, and screening guideline changes) and news coverage, Twitter discussions, and Google search trends about CRC and CRC screening.

methodsWe analyzed data from U.S. national news media outlets, posts scraped from Twitter, and Google Trends on CRC and CRC screening during a three-year period from 2020 to 2022. We used burst detection methods to identify temporal spikes in the volume of news, tweets, and search after each CRC-related event.

resultsThere is a high level of heterogeneity in the impact of celebrity CRC events. Celebrity CRC deaths were more likely to precede spikes in news and tweets about CRC overall than CRC screening. Celebrity screening preceded spikes in news and tweets about screening but not searches. Awareness months and screening guideline changes did precede spikes in news, tweets, and searches about screening, but these spikes were inconsistent, not simultaneous, and not as large as those events concerning most prominent public figures.

conclusionsCRC events provide opportunities to increase attention to CRC. Media and public health professionals should actively intervene during CRC events to increase emphasis on CRC screening and evidence-based recommendations.

Indexed as

Colorectal NeoplasmsEarly Detection of CancerFamous PersonsMass MediaSocial MediaFemaleHumansMaleMass ScreeningUnited StatesCancer screeningColorectal cancerGoogle TrendsNews coverageSocial mediaTwitter

Identifiers

PMID38823651
PMCPMC11269033

What OpenQuestion holds

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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.