Evidence map›Paper›PMID 29927648›Full record

ArticleAmerican journal of public health2018

Toward Real-Time Infoveillance of Twitter Health Messages.

Jason B Colditz, Kar-Hai Chu, Sherry L Emery, Chandler R Larkin, A Everette James, Joel Welling, Brian A Primack

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of public health, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

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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.

Jason B ColditzJason B. Colditz, Kar-Hai Chu, Chandler R. Larkin, and Brian A. Primack are with the Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, PA. Sherry L. Emery is with NORC, University of Chicago, Chicago, IL. A. Everette James is with the Health Policy Institute, University of Pittsburgh Graduate School of Public Health, Pittsburgh. Joel Welling is with the Pittsburgh Supercomputing Center, Pittsburgh.
Kar-Hai ChuJason B. Colditz, Kar-Hai Chu, Chandler R. Larkin, and Brian A. Primack are with the Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, PA. Sherry L. Emery is with NORC, University of Chicago, Chicago, IL. A. Everette James is with the Health Policy Institute, University of Pittsburgh Graduate School of Public Health, Pittsburgh. Joel Welling is with the Pittsburgh Supercomputing Center, Pittsburgh.
Sherry L EmeryJason B. Colditz, Kar-Hai Chu, Chandler R. Larkin, and Brian A. Primack are with the Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, PA. Sherry L. Emery is with NORC, University of Chicago, Chicago, IL. A. Everette James is with the Health Policy Institute, University of Pittsburgh Graduate School of Public Health, Pittsburgh. Joel Welling is with the Pittsburgh Supercomputing Center, Pittsburgh.
Chandler R LarkinJason B. Colditz, Kar-Hai Chu, Chandler R. Larkin, and Brian A. Primack are with the Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, PA. Sherry L. Emery is with NORC, University of Chicago, Chicago, IL. A. Everette James is with the Health Policy Institute, University of Pittsburgh Graduate School of Public Health, Pittsburgh. Joel Welling is with the Pittsburgh Supercomputing Center, Pittsburgh.
A Everette JamesJason B. Colditz, Kar-Hai Chu, Chandler R. Larkin, and Brian A. Primack are with the Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, PA. Sherry L. Emery is with NORC, University of Chicago, Chicago, IL. A. Everette James is with the Health Policy Institute, University of Pittsburgh Graduate School of Public Health, Pittsburgh. Joel Welling is with the Pittsburgh Supercomputing Center, Pittsburgh.
Joel WellingJason B. Colditz, Kar-Hai Chu, Chandler R. Larkin, and Brian A. Primack are with the Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, PA. Sherry L. Emery is with NORC, University of Chicago, Chicago, IL. A. Everette James is with the Health Policy Institute, University of Pittsburgh Graduate School of Public Health, Pittsburgh. Joel Welling is with the Pittsburgh Supercomputing Center, Pittsburgh.
Brian A PrimackJason B. Colditz, Kar-Hai Chu, Chandler R. Larkin, and Brian A. Primack are with the Center for Research on Media, Technology, and Health, University of Pittsburgh School of Medicine, Pittsburgh, PA. Sherry L. Emery is with NORC, University of Chicago, Chicago, IL. A. Everette James is with the Health Policy Institute, University of Pittsburgh Graduate School of Public Health, Pittsburgh. Joel Welling is with the Pittsburgh Supercomputing Center, Pittsburgh.

Funding

Leveraging Twitter to monitor nicotine and tobacco-related cancer communicationR01CA225773 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI PRIMACK, BRIAN A. · 2018 to 2022
$1.9M
NCI NIH HHS R01 CA225773
6 · The paper itself

Abstract

There is growing interest in conducting public health research using data from social media. In particular, Twitter "infoveillance" has demonstrated utility across health contexts. However, rigorous and reproducible methodologies for using Twitter data in public health are not yet well articulated, particularly those related to content analysis, which is a highly popular approach. In 2014, we gathered an interdisciplinary team of health science researchers, computer scientists, and methodologists to begin implementing an open-source framework for real-time infoveillance of Twitter health messages (RITHM). Through this process, we documented common challenges and novel solutions to inform future work in real-time Twitter data collection and subsequent human coding. The RITHM framework allows researchers and practitioners to use well-planned and reproducible processes in retrieving, storing, filtering, subsampling, and formatting data for health topics of interest. Further considerations for human coding of Twitter data include coder selection and training, data representation, codebook development and refinement, and monitoring coding accuracy and productivity. We illustrate methodological considerations through practical examples from formative work related to hookah tobacco smoking, and we reference essential methods literature related to understanding and using Twitter data.

Indexed as

Health PromotionSocial MediaData CollectionHumansPublic Health SurveillanceUnited States

Identifiers

PMID29927648
PMCPMC6050832

What OpenQuestion holds

Textmetadata
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.