Evidence map›Paper›PMID 27601452›Full record

ArticleTobacco control2017

Twitter analysis of California's failed campaign to raise the state's tobacco tax by popular vote in 2012.

Miao Feng, John P Pierce, Glen Szczypka, Lisa Vera, Sherry Emery

Abstract read
In one paragraph

Article in Tobacco control, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Observational
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Valence of Media Coverage About Electronic Cigarettes and Other Tobacco Products From 2014 to 2017: Evidence From Automated Content Analysis.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Article
  10. How the Internet Risks Widening Health Inequalities.American journal of public health · 2018
    Article
  11. Toward Real-Time Infoveillance of Twitter Health Messages.American journal of public health · 2018
    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.

Miao FengDepartment of Communication, University of Illinois at Chicago, Chicago, Illinois, USA.
John P PierceMoores Cancer Center, University of California, San Diego, La Jolla, California, USA.
Glen SzczypkaHealth Media Collaboratory at NORC at the University of Chicago, Chicago, Illinois, USA.
Lisa VeraMoores Cancer Center, University of California, San Diego, La Jolla, California, USA.
Sherry EmeryHealth Media Collaboratory at NORC at the University of Chicago, Chicago, Illinois, USA.

Funding

Tobacco Control in a Rapidly Changing Media EnvironmentU01CA154254 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI EMERY, SHERRY L · 2011 to 2015
$7.7M
NCI NIH HHS U01 CA154254
6 · The paper itself

Abstract

backgroundThe rapid diffusion of social media in the past decade has allowed community members to sway the discourse on elections. We use analyses of social media to provide insight into why the strong public support 1 year prior to the election did not result in an increased tobacco tax from the 2012 California Proposition 29 vote.

methodsUsing the Twitter historical Firehose, we chose all tweets on Proposition 29 posted between 1 January and 5 June 2012 differentiating between early and late campaign periods. Tweets were coded for valence, theme and source. We analysed metadata to characterise accounts. Television ratings data in 9 major California media markets were used to show the strength of the 2 campaigns.

results'No on 29' launched television advertising earlier and with much higher household gross rating points (GRPs) than the 'Yes on 29' campaign. Among 17 099 relevant tweets from 8769 unique accounts, 53% supported Proposition 29, 27% opposed and 20% were neutral. Just under half (43%) were from accounts affiliated with the campaigns. Two-thirds of campaign messages originated outside California. The 'Yes' campaign focused on simple health messages, which were equally represented in both campaign periods. However, anti-tax tweets increased at relative to pro-tax tweets in the second period.

conclusionsAlthough the Prop 29 campaigns did not effectively engage the Californian twitter communities, analysis of tweets provided an earlier indication than public polls of the loss of public supporting this election. Prospective Twitter analysis should be added to campaign evaluation strategies.

Indexed as

Social MediaTaxesCaliforniaHumansPublic OpinionTobacco ProductsMediaPublic policyTaxationTobacco industry

Identifiers

PMID27601452
PMCPMC5725225

What OpenQuestion holds

Textmetadata
LicenceTDM
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.