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Hongying Dai, Michael J Deem, Jianqiang Hao
OBJECTIVES: Studies have identified a proliferation of e-cigarette advertisements on Twitter. We investigate whether the prevalence of e-cigarette related advertising is associated with state tobacco regulations after taking socio-economic characteristics into account. METHODS: We collected e-cigarette related tweets from July 23 to October 14, 2015 (n = 757,167) on Twitter. State regulations and smoking prevalence were provided by the Campaign for Tobacco-Free Kids program...
October 14, 2016: International Journal of Public Health
Chandler McClellan, Mir M Ali, Ryan Mutter, Larry Kroutil, Justin Landwehr
OBJECTIVES: Given the public health importance of communicating about mental illness and the growing use of social media to convey information, our goal was to develop an empirical model to identify periods of heightened interest in mental health topics on Twitter. MATERIALS AND METHODS: We collected data on 176 million tweets from 2011 to 2014 with content related to depression or suicide. Using an autoregressive integrated moving average (ARIMA) data analysis, we identified deviations from predicted trends in communication about depression and suicide...
October 5, 2016: Journal of the American Medical Informatics Association: JAMIA
Ganna Kostygina, Hy Tran, Yaru Shi, Yoonsang Kim, Sherry Emery
OBJECTIVE: Despite recent increases in little cigar and cigarillo (LCC) use-particularly among urban youth, African-Americans and Latinos-research on targeted strategies for marketing these products is sparse. Little is known about the amount or content of LCC messages users see or share on social media, a popular communication medium among youth and communities of colour. METHODS: Keyword rules were used to collect tweets related to LCCs from the Twitter Firehose posted in October 2014 and March-April 2015...
October 2016: Tobacco Control
Andrew B Rosenkrantz, C Matthew Hawkins
PURPOSE: The aim of this study was to evaluate the feasibility of using Twitter polls to assess public opinion regarding session content at a national specialty society meeting. METHODS: Twitter polls allow users to embed multiple-choice questions within tweets and automatically aggregate responses. Two radiologists attending the 2016 annual meeting of the ACR posted a Twitter poll containing the hashtag #ACR2016 during 10 meeting sessions addressing socioeconomics/advocacy, patient experience, and social media/informatics (20 polls total)...
September 24, 2016: Journal of the American College of Radiology: JACR
Shaina J Sowles, Melissa J Krauss, Sarah Connolly, Patricia A Cavazos-Rehg
INTRODUCTION: Vaping has increased in popularity, and the potential harms and benefits are largely unknown. Vaping-related advertising is expected to grow as the vaping industry grows; people are exposed primarily to vaping advertisements on the Internet, and Twitter is an especially popular social medium among young people. The primary objective of our study was to describe the characteristics of vaping-related advertisements on Twitter. METHODS: We collected data on 403,079 English-language tweets that appeared during November 2014 and contained vaping-related keywords...
September 29, 2016: Preventing Chronic Disease
Lauren Sinnenberg, Christie L DiSilvestro, Christina Mancheno, Karl Dailey, Christopher Tufts, Alison M Buttenheim, Fran Barg, Lyle Ungar, H Schwartz, Dana Brown, David A Asch, Raina M Merchant
Importance: As society is increasingly becoming more networked, researchers are beginning to explore how social media can be used to study person-to-person communication about health and health care use. Twitter is an online messaging platform used by more than 300 million people who have generated several billion Tweets, yet little work has focused on the potential applications of these data for studying public attitudes and behaviors associated with cardiovascular health. Objective: To describe the volume and content of Tweets associated with cardiovascular disease as well as the characteristics of Twitter users...
September 28, 2016: JAMA Cardiology
Jessie M Quintero Johnson, Gamze Yilmaz, Kristy Najarian
Using social media for the purpose of disseminating mental health information is a critical area of scientific inquiry for health communication professionals. The purpose of this study was to investigate whether the presence of a first-person testimonial in educational mental health information placed in Facebook and Twitter messages influenced college students' (N = 257) source perceptions, information processing, cognitive elaboration, health information recall, beliefs, and behavioral intentions. Results show that exposure to social media messages that featured mental health information embedded with a testimonial predicted less source homophily and more critical thoughts about the social media source, less systematic message processing, and less cognitive elaboration...
August 30, 2016: Health Communication
Janani Kalyanam, Takeo Katsuki, Gert R G Lanckriet, Tim K Mackey
INTRODUCTION: Nonmedical use of prescription medications/drugs (NMUPD) is a serious public health threat, particularly in relation to the prescription opioid analgesics abuse epidemic. While attention to this problem has been growing, there remains an urgent need to develop novel strategies in the field of "digital epidemiology" to better identify, analyze and understand trends in NMUPD behavior. METHODS: We conducted surveillance of the popular microblogging site Twitter by collecting 11 million tweets filtered for three commonly abused prescription opioid analgesic drugs Percocet® (acetaminophen/oxycodone), OxyContin® (oxycodone), and Oxycodone...
August 17, 2016: Addictive Behaviors
Tracey L Thomas, Daniela B Friedman, Heather M Brandt, S Melinda Spencer, Andrea Tanner
This study is among the first to examine how health risks are communicated through traditional and social media during a public health crisis. Using an innovative research approach, the study combined a content analysis with in-depth interviews to examine and understand how stakeholders involved in crisis response perceived media coverage after a chemical spill contaminated the drinking water of 300,000 West Virginia residents. A content analysis of print, television, and online media stories and tweets revealed that health risk information was largely absent from crisis coverage...
September 2016: Journal of Health Communication
Johannes Salem, Hendrik Borgmann, Matthew Bultitude, Hans-Martin Fritsche, Axel Haferkamp, Axel Heidenreich, Arkadiusz Miernik, Andreas Neisius, Thomas Knoll, Christian Thomas, Igor Tsaur
INTRODUCTION: Twitter is a popular microblogging platform for the rapid dissemination of information and reciprocal exchange in the urological field. We aimed to assess the activity, users and content of the online discussion, #KidneyStones, on Twitter. METHODS: We investigated the Symplur Signals analytics tool for Twitter data distributed via the #KidneyStones hashtag over a one year period. Activity analysis reflected overall activity and tweet enhancements. We assessed users' geolocations and performed an influencer analysis...
2016: PloS One
W Christian Crannell, Eric Clark, Chris Jones, Ted A James, Jesse Moore
BACKGROUND: Twitter has been recognized as an important source of organic sentiment and opinion. This study aimed to (1) characterize the content of tweets authored by the United States cancer patients; and (2) use patient tweets to compute the average happiness of cancer patients for each cancer diagnosis. METHODS: A large sample of English tweets from March 2014 through December 2014 was obtained from Twitter. Using regular expression software pattern matching, the tweets were filtered by cancer diagnosis...
June 25, 2016: Journal of Surgical Research
A Grant, H O'Mahoney
OBJECTIVES: To describe and characterize social media content in relation to waterpipe smoking using qualitative methods. STUDY DESIGN: Exploratory qualitative design. METHODS: A representative sample of pre-existing social media content from Twitter relating to waterpipe smoking and written in the English language was collected during a 1 week period in July 2014. A total of 9671 tweets were collected; duplicates and retweets were removed leaving 4439 unique tweets...
August 9, 2016: Public Health
Valentina Grasso, Alfonso Crisci
INTRODUCTION: During emergencies increasing numbers of messages are shared through social media platforms becoming a primary source of information for lay people and emergency managers. For Twitter codified hashtagging is emerging as a practical way to coordinate messages during emergencies and quickly identify relevant information. This paper considers a case study on the use of codified hashtags concerning weather warning in Italy in three different regions. METHODS: From November 3rd to December 2nd 2014, tweets identified by the 3 codified hashtags #allertameteoTOS, #allertameteoLIG and #allertameteoPIE were retrieved, collecting a total of 35,558 tweets published by 7361 unique tweets authors, with the aim to assess if codified hashtags could represent an effective way to align formal and informal sources of information during weather related emergencies...
2016: PLoS Currents
Bronwyn Hemsley, Stuart Palmer
To date, there is no research examining how adults with Amyotrophic Lateral Sclerosis (ALS) or Motor Neurone Disease (MND) and severe communication disability use Twitter, nor the use of Twitter in relation to ALS/MND beyond its use for fundraising and raising awareness. In this paper we (a) outline a rationale for the use of Twitter as a method of communication and information exchange for adults with ALS/MND, (b) detail multiple qualitative and quantitative methods used to analyse Twitter networks and tweet content in the our studies, and (c) present the results of two studies designed to provide insights on the use of Twitter by an adult with ALS/MND and by #ALS and #MND hashtag communities in Twitter...
2016: Studies in Health Technology and Informatics
Xing Tang, Qiguang Miao, Shangshang Yu, Yining Quan
Recently, increasing numbers of users have adopted microblogging services as their main information source. However, most of them find themselves drowning in the millions of posts produced by other users every day. To cope with this, identifying a set of the most influential people is paramount. Moreover, finding a set of related influential users to expand the coverage of one particular topic is required in real world scenarios. Most of the existing algorithms in this area focus on topology-related methods such as PageRank...
2016: PloS One
Patricia A Cavazos-Rehg, Shaina J Sowles, Melissa J Krauss, Vivian Agbonavbare, Richard Grucza, Laura Bierut
INTRODUCTION: "Dabbing" involves heating extremely concentrated forms of marijuana to high temperatures and inhaling the resulting vapor. We studied themes describing the consequences of using highly concentrated marijuana by examining the dabbing-related content on Twitter. METHODS: Tweets containing dabbing-related keywords were collected from 1/1-1/31/2015 (n=206,854). A random sample of 5000 tweets was coded for content according to pre-determined categories about dabbing-related behaviors and effects experienced using a crowdsourcing service...
September 1, 2016: Drug and Alcohol Dependence
Lorna Myers, Jace Jones, Nadine Boesten, Marcelo Lancman
PURPOSE: The nature of the symptoms associated with PNES require a multidisciplinary health team. There are too few professionals with an adequate understanding of PNES and therefore many are not able to provide patients with necessary information. In the age of the internet, it is not surprising that patients or caregivers might look for answers online. The purpose of this project was to investigate the online representation of PNES and search frequency for PNES and its associated terms...
August 2016: Seizure: the Journal of the British Epilepsy Association
Deanna J Attai, Diane M Radford, Michael S Cowher
BACKGROUND: Twitter social media is being used to disseminate medical meeting information. Meeting attendees and other interested parties have the ability to follow and participate in conversations related to meeting content. We analyzed Twitter activity generated from the 2013-2016 American Society of Breast Surgeons Annual Meetings. METHODS: The Symplur Signals database was used to determine number of tweets, tweets per user, and impressions for each meeting. The number of unique physicians, patients/caregivers/advocates, and industry participants was determined...
October 2016: Annals of Surgical Oncology
Moritz Büchi
Mass media have long provided general publics with science news. New media such as Twitter have entered this system and provide an additional platform for the dissemination of science information. Based on automated collection and analysis of >900 news articles and 70,000 tweets, this study explores the online communication of current science news. Topic modeling (latent Dirichlet allocation) was used to extract five broad themes of science reporting: space missions, the US government shutdown, cancer research, Nobel Prizes, and climate change...
July 5, 2016: Public Understanding of Science
Andrew B Seidenberg, Sherry L Pagoto, Theodore A Vickey, Eleni Linos, Mackenzie R Wehner, Renata Dalla Costa, Alan C Geller
Few surveillance tools exist for monitoring tanning bed injuries. Twitter data were examined to identify and describe reports of tanning bed-caused burns. Tweets sent in 2013 containing keywords for tanning bed use and burning were content analyzed to determine whether a burn caused by a tanning bed was described, and additional data on tanning behavior and burn characteristics were extracted. After content assessment, 15,178 (64 %) tweets were found to describe a tanning bed-caused burn. Sites most reportedly burnt were buttocks (n = 3117), face/head (n = 1020), and chest/breast (n = 546)...
June 2016: Translational Behavioral Medicine
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