ArticlePLoS currents2013
Twitter as a sentinel in emergency situations: lessons from the Boston marathon explosions.
Article in PLoS currents, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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.
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.
Who cites it
23 citing papers in PubMed.
- Advancing United States-Based Child and Family Reunification Disaster Science.NAM perspectives · 2024Review
- Social Sensing and Individual Brands in Sports: Lessons Learned from English-Language Reactions on Twitter to Pau Gasol's Retirement Announcement.International journal of environmental research and public health · 2023Article
- Exploring discussions of health and risk and public sentiment in Massachusetts during COVID-19 pandemic mandate implementation: A Twitter analysis.SSM - population health · 2021Article
- Topic-Emotion Propagation Mechanism of Public Emergencies in Social Networks.Sensors (Basel, Switzerland) · 2021Article
- Use of Social Media by Hospitals and Clinics in Japan: Descriptive Study.JMIR medical informatics · 2020Article
- Public Opinion About E-Cigarettes on Chinese Social Media: A Combined Study of Text Mining Analysis and Correspondence Analysis.Journal of medical Internet research · 2020Article
- Article
- Information technology in emergency management of COVID-19 outbreak.Informatics in medicine unlocked · 2020Review
- A computational study of mental health awareness campaigns on social media.Translational behavioral medicine · 2019Article
- Sudden Infant Death Syndrome and Safe Sleep on Twitter: Analysis of Influences and Themes to Guide Health Promotion Efforts.JMIR pediatrics and parenting · 2018Article
- Comparing Twitter data to routine data sources in public health surveillance for the 2015 Pan/Parapan American Games: an ecological study.Canadian journal of public health = Revue canadienne de sante publique · 2018Article
- The performance of the IES-R for Latinos and non-Latinos: Assessing measurement invariance.PloS one · 2018Article
- Using Twitter for Demographic and Social Science Research: Tools for Data Collection and Processing.Sociological methods & research · 2017Article
- Sources of spatial animal and human health data: Casting the net wide to deal more effectively with increasingly complex disease problems.Spatial and spatio-temporal epidemiology · 2015Review
- ORBiT: Oak Ridge biosurveillance toolkit for public health dynamics.BMC bioinformatics · 2015Article
- Discovering Multi-Scale Co-Occurrence Patterns of Asthma and Influenza with Oak Ridge Bio-Surveillance Toolkit.Frontiers in public health · 2015Article
- Network structure and community evolution on Twitter: human behavior change in response to the 2011 Japanese earthquake and tsunami.Scientific reports · 2014Article
- Big Data in Science and Healthcare: A Review of Recent Literature and Perspectives. Contribution of the IMIA Social Media Working Group.Yearbook of medical informatics · 2014Review
- Innovative uses of electronic health records and social media for public health surveillance.Current diabetes reports · 2014Review
- Twitter in the cross fire--the use of social media in the Westgate Mall terror attack in Kenya.PloS one · 2014Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Immediately following the Boston Marathon attacks, individuals near the scene posted a deluge of data to social media sites. Previous work has shown that these data can be leveraged to provide rapid insight during natural disasters, disease outbreaks and ongoing conflicts that can assist in the public health and medical response. Here, we examine and discuss the social media messages posted immediately after and around the Boston Marathon bombings, and find that specific keywords appear frequently prior to official public safety and news media reports. Individuals immediately adjacent to the explosions posted messages within minutes via Twitter which identify the location and specifics of events, demonstrating a role for social media in the early recognition and characterization of emergency events. *Christopher Cassa and Rumi Chunara contributed equally to this work.
Identifiers
What OpenQuestion holds
Registered trials
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.