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Marie Truelove, Maria Vasardani, Stephan Winter
This paper demonstrates a framework of processes for identifying potential witnesses of events from evidence they post to social media. The research defines original evidence models for micro-blog content sources, the relative uncertainty of different evidence types, and models for testing evidence by combination. Methods to filter and extract evidence using automated and semi-automated means are demonstrated using a Twitter case study event. Further, an implementation to test extracted evidence using Dempster Shafer Theory of Evidence are presented...
2017: PloS One
Monica L Wang, Molly E Waring, Danielle E Jake-Schoffman, Jessica L Oleski, Zachary Michaels, Jared M Goetz, Stephenie C Lemon, Yunsheng Ma, Sherry L Pagoto
BACKGROUND: Online social networks may be a promising modality to deliver lifestyle interventions by reducing cost and burden. Although online social networks have been integrated as one component of multimodality lifestyle interventions, no randomized trials to date have compared a lifestyle intervention delivered entirely via online social network with a traditional clinic-delivered intervention. OBJECTIVE: This paper describes the design and methods of a noninferiority randomized controlled trial, testing (1) whether a lifestyle intervention delivered entirely through an online social network would produce weight loss that would not be appreciably worse than that induced by a traditional clinic-based lifestyle intervention among overweight and obese adults and (2) whether the former would do so at a lower cost...
December 11, 2017: JMIR Research Protocols
Su Yeon Kye, Min Hee Lee, Jisu Yoo, Kyounghee Oh, Jae Kwan Jun
Objectives: This study aims to identify the characteristics of social networking service (SNS) users and connect these factors to user satisfaction with the SNSs of the National Cancer Information Center (NCIC) in South Korea. Methods: A Web-based survey was completed by 1,670 users of the NCIC SNSs to collect data on sources for information on cancer, determinants for using the SNS, source of NCIC SNS awareness, time for use, and the satisfaction level of the users...
December 11, 2017: Epidemiology and Health
Isaac Chun-Hai Fung, Ashley M Jackson, Jennifer O Ahweyevu, Jordan H Grizzle, Jingjing Yin, Zion Tsz Ho Tse, Hai Liang, Juliet N Sekandi, King-Wa Fu
BACKGROUND: Advocates use the hashtag #GlobalHealth on Twitter to draw users' attention to prominent themes on global health, to harness their support, and to advocate for change. OBJECTIVES: We aimed to describe #GlobalHealth tweets pertinent to given major health issues. METHODS: Tweets containing the hashtag #GlobalHealth (N = 157,951) from January 1, 2014, to April 30, 2015, were purchased from GNIP Inc. We extracted 5 subcorpora of tweets, each with 1 of 5 co-occurring disease-specific hashtags (#Malaria, #HIV, #TB, #NCDS, and #NTDS) for further analysis...
May 2017: Annals of Global Health
Melissa Brunner, Bronwyn Hemsley, Stephen Dann, Leanne Togher, Stuart Palmer
OBJECTIVE: The aims of this study were to: (a) determine how Twitter is used by people with traumatic brain injury (TBI) and TBI organisations, (b) analyse the Twitter networks and content of tweets tagged with TBI-related hashtags, and (c) identify any challenges people with TBI encounter in using Twitter. RESEARCH DESIGN: Mixed methods in a Twitter hashtag study. METHODS: Mixed methods in a Twitter hashtag study. Tweets tagged with TBI-related hashtags were harvested from the Twitter website over a one-month period in 2016 and analysed qualitatively and quantitatively...
2018: Brain Injury: [BI]
Yan Wang, Qi Wang, John E Taylor
Increasing frequency of extreme winter storms has resulted in costly damages and a disruptive impact on the northeastern United States. It is important to understand human mobility patterns during such storms for disaster preparation and relief operations. We investigated the effects of severe winter storms on human mobility during a 2015 blizzard using 2.69 million Twitter geolocations. We found that displacements of different trip distances and radii of gyration of individuals' mobility were perturbed significantly...
2017: PloS One
Patricia A Cavazos-Rehg, Kidist Zewdie, Melissa J Krauss, Shaina J Sowles
PURPOSE: To investigate tweets about marijuana edibles for surveillance into the content of edibles-related tweets among individuals socially networking about this topic on Twitter. DESIGN: Cross-sectional analysis of tweets containing edible marijuana-related key words during 1 month. SETTING: Twitter. PARTICIPANTS: Tweets sent during January 1 to 31, 2015. METHODS: A random sample of 5000 tweets containing edibles-related key words was coded for sentiment (positive, negative, and neutral) by crowdsourced workers...
January 1, 2017: American Journal of Health Promotion: AJHP
Kelly Cawcutt
No abstract text is available yet for this article.
December 2017: Infection Control and Hospital Epidemiology
Ricardo Ladeiras-Lopes
No abstract text is available yet for this article.
December 1, 2017: European Heart Journal
Brittany Andersen, Lee Hair, Jacob Groshek, Arunima Krishna, Dylan Walker
To better understand user conversations revolving around antibiotics and antimicrobial resistance (AMR) on Twitter, we used an online data collection and analysis toolkit with full firehose access to collect corpuses of tweets with "antibiotic" and "antimicrobial resistance" keyword tracks. The date range included tweets from November 28, 2015, to November 25, 2016, for both datasets. This yearlong date range provides insight into how users have discussed antibiotics and AMR and identifies any spikes in activity during a particular time frame...
December 5, 2017: Health Communication
Matthew C Benigni, Kenneth Joseph, Kathleen M Carley
The Islamic State of Iraq and ash-Sham (ISIS) continues to use social media as an essential element of its campaign to motivate support. On Twitter, ISIS' unique ability to leverage unaffiliated sympathizers that simply retweet propaganda has been identified as a primary mechanism in their success in motivating both recruitment and "lone wolf" attacks. The present work explores a large community of Twitter users whose activity supports ISIS propaganda diffusion in varying degrees. Within this ISIS supporting community, we observe a diverse range of actor types, including fighters, propagandists, recruiters, religious scholars, and unaffiliated sympathizers...
2017: PloS One
Elizabeth Buchanan
This is a formal commentary, responding to Matthew Curran Benigni, Kenneth Joseph, and Kathleen Carley's contribution, "Online extremism and the communities that sustain it: Detecting the ISIS supporting community on Twitter". This brief review reflects on the ethics of big data research methodologies, and how novel methods complicate long-standing principles of research ethics. Specifically, the concept of the "data subject" as a corollary, or replacement, of "human subject" is considered.
2017: PloS One
Simon Pollett, Benjamin M Althouse, Brett Forshey, George W Rutherford, Richard G Jarman
Internet-based surveillance methods for vector-borne diseases (VBDs) using "big data" sources such as Google, Twitter, and internet newswire scraping have recently been developed, yet reviews on such "digital disease detection" methods have focused on respiratory pathogens, particularly in high-income regions. Here, we present a narrative review of the literature that has examined the performance of internet-based biosurveillance for diseases caused by vector-borne viruses, parasites, and other pathogens, including Zika, dengue, other arthropod-borne viruses, malaria, leishmaniasis, and Lyme disease across a range of settings, including low- and middle-income countries...
November 2017: PLoS Neglected Tropical Diseases
Vamsi Krishna Tatikonda, Hosam El-Ocla
Background: With rapid increase in the usage of social networks sites across the world, there is also a steady increase in blood donation requests as being noticed in the number of posts on these sites such as Facebook and twitter seeking blood donors. Finding blood donor is a challenging issue in almost every country. There are some blood donor finder applications in the market such as Blood app by Red Cross and Blood Donor Finder application by Neologix. However, more reliable applications that meet the needs of users are prompted...
2017: MHealth
Dong-Woo Seo, Soo-Yong Shin
Objectives: For earlier detection of infectious disease outbreaks, a digital syndromic surveillance system based on search queries or social media should be utilized. By using real-time data sources, a digital syndromic surveillance system can overcome the limitation of time-delay in traditional surveillance systems. Here, we introduce an approach to develop such a digital surveillance system. Methods: We first explain how the statistics data of infectious diseases, such as influenza and Middle East Respiratory Syndrome (MERS) in Korea, can be collected for reference data...
October 2017: Healthcare Informatics Research
Quynh C Nguyen, Kimberly D Brunisholz, Weijun Yu, Matt McCullough, Heidi A Hanson, Michelle L Litchman, Feifei Li, Yuan Wan, James A VanDerslice, Ming Wen, Ken R Smith
Neighborhood characteristics are increasingly connected with health outcomes. Social processes affect health through the maintenance of social norms, stimulation of new interests, and dispersal of knowledge. We created zip code level indicators of happiness, food, and physical activity culture from geolocated Twitter data to examine the relationship between these neighborhood characteristics and obesity and diabetes diagnoses (Type 1 and Type 2). We collected 422,094 tweets sent from Utah between April 2015 and March 2016...
November 27, 2017: Scientific Reports
Ann M Price, Kate Devis, Gayle LeMoine, Sarah Crouch, Nicole South, Rosa Hossain
INTRODUCTION: Social media rapidly disseminates information but is a controversial learning platform in nurse education. This study aimed to explore how students viewed the use of Twitter, and other social media, in their first year of a nursing degree. AIM: The aim of this study was to evaluate first year student nurses' use of social media, before and after commencing a pre-registration programme, where Twitter was used in a module. METHODOLOGY: A cross-sectional approach using a descriptive survey was completed...
November 14, 2017: Nurse Education Today
Hannah K Benjamin, Danielle F Royer
INTRODUCTION: Social media, with its capabilities of fast, global information sharing, provides a useful medium for professional development, connecting and collaborating with peers, and outreach. The goals of this study were to describe a new, sustainable model for Twitter use by professional societies, and analyze its impact on @AACAnatomy, the Twitter account of the American Association of Clinical Anatomists. METHODS: Under supervision of an Association committee member, an anatomy graduate student developed a protocol for publishing daily tweets for @AACAnatomy...
November 27, 2017: Clinical Anatomy
Jennifer Jackson
Social media has been used increasingly as part of nursing education. Nurse educators at a large, multisite teaching hospital used social media to support clinical teaching. A series of educational images was created by nurse educators and shared across Facebook, Twitter, and Instagram. This campaign coincided with in-unit clinical education. Nurse educators can consider using social media as an adjunct to clinical teaching, especially in large hospital settings. J Contin Educ Nurs. 2017;48(12):541-542.
December 1, 2017: Journal of Continuing Education in Nursing
(no author information available yet)
No abstract text is available yet for this article.
November 21, 2017: European Heart Journal
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