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https://www.readbyqxmd.com/read/28080152/ideological-consumerism-in-colombian-elections-2015-links-between-political-ideology-twitter-activity-and-electoral-results
#1
Juan C Correa, Jorge E Camargo
Propagation of political ideologies in social networks has shown a substantial impact on voting behavior. Both the contents of the messages (the ideology) and the politicians' influence on their online audiences (their followers) have been associated with such an impact. In this study we evaluate which of these factors exerted a major role in deciding electoral results of the 2015 Colombian regional elections by evaluating the linguistic similarity of political ideologies and their influence on the Twitter sphere...
January 2017: Cyberpsychology, Behavior and Social Networking
https://www.readbyqxmd.com/read/28059576/twitter-analysis-of-the-orthodontic-patient-experience-with-braces-vs-invisalign
#2
Daniel Noll, Brendan Mahon, Bhavna Shroff, Caroline Carrico, Steven J Lindauer
OBJECTIVE: To examine the orthodontic patient experience having braces compared with Invisalign by means of a large-scale Twitter sentiment analysis. MATERIALS AND METHODS: A custom data collection program was created that collected tweets containing the words "braces" or "Invisalign" for a period of 5 months. A hierarchal Naïve Bayes sentiment analysis classifier was developed to sort the tweets into five categories: positive, negative, neutral, advertisement, or not applicable...
January 6, 2017: Angle Orthodontist
https://www.readbyqxmd.com/read/27925832/twitter-as-a-tool-for-health-research-a-systematic-review
#3
Lauren Sinnenberg, Alison M Buttenheim, Kevin Padrez, Christina Mancheno, Lyle Ungar, Raina M Merchant
BACKGROUND: Researchers have used traditional databases to study public health for decades. Less is known about the use of social media data sources, such as Twitter, for this purpose. OBJECTIVES: To systematically review the use of Twitter in health research, define a taxonomy to describe Twitter use, and characterize the current state of Twitter in health research. SEARCH METHODS: We performed a literature search in PubMed, Embase, Web of Science, Google Scholar, and CINAHL through September 2015...
January 2017: American Journal of Public Health
https://www.readbyqxmd.com/read/27919863/applying-multiple-data-collection-tools-to-quantify-human-papillomavirus-vaccine-communication-on-twitter
#4
Philip M Massey, Amy Leader, Elad Yom-Tov, Alexandra Budenz, Kara Fisher, Ann C Klassen
BACKGROUND: Human papillomavirus (HPV) is the most common sexually transmitted infection in the United States. There are several vaccines that protect against strains of HPV most associated with cervical and other cancers. Thus, HPV vaccination has become an important component of adolescent preventive health care. As media evolves, more information about HPV vaccination is shifting to social media platforms such as Twitter. Health information consumed on social media may be especially influential for segments of society such as younger populations, as well as ethnic and racial minorities...
December 5, 2016: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/27918181/comparing-vector-based-and-bayesian-memory-models-using-large-scale-datasets-user-generated-hashtag-and-tag-prediction-on-twitter-and-stack-overflow
#5
Clayton Stanley, Michael D Byrne
The growth of social media and user-created content on online sites provides unique opportunities to study models of human declarative memory. By framing the task of choosing a hashtag for a tweet and tagging a post on Stack Overflow as a declarative memory retrieval problem, 2 cognitively plausible declarative memory models were applied to millions of posts and tweets and evaluated on how accurately they predict a user's chosen tags. An ACT-R based Bayesian model and a random permutation vector-based model were tested on the large data sets...
December 2016: Psychological Methods
https://www.readbyqxmd.com/read/27888168/estimating-the-duration-of-public-concern-after-the-fukushima-dai-ichi-nuclear-power-station-accident-from-the-occurrence-of-radiation-exposure-related-terms-on-twitter-a-retrospective-data-analysis
#6
Naoki Nishimoto, Mizuki Ota, Ayako Yagahara, Katsuhiko Ogasawara
BACKGROUND: After the Fukushima Dai-ichi Nuclear Power Station accident in Japan on March 11, 2011, a large number of comments, both positive and negative, were posted on social media. OBJECTIVE: The objective of this study was to clarify the characteristics of the trend in the number of tweets posted on Twitter, and to estimate how long public concern regarding the accident continued. We surveyed the attenuation period of the first term occurrence related to radiation exposure as a surrogate endpoint for the duration of concern...
November 25, 2016: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/27854532/twitter-as-a-tool-for-health-research-a-systematic-review
#7
Lauren Sinnenberg, Alison M Buttenheim, Kevin Padrez, Christina Mancheno, Lyle Ungar, Raina M Merchant
BACKGROUND: Researchers have used traditional databases to study public health for decades. Less is known about the use of social media data sources, such as Twitter, for this purpose. OBJECTIVES: To systematically review the use of Twitter in health research, define a taxonomy to describe Twitter use, and characterize the current state of Twitter in health research. SEARCH METHODS: We performed a literature search in PubMed, Embase, Web of Science, Google Scholar, and CINAHL through September 2015...
January 2017: American Journal of Public Health
https://www.readbyqxmd.com/read/27847789/transmissibility-of-the-campaign-for-colorectal-cancer-awareness-in-korea-among-twitter-users
#8
Keun Chul Lee, Heung-Kwon Oh, Gibeom Park, SoHyun Park, Bongwon Suh, Woo Kyung Bae, Jin Won Kim, Hyuk Yoon, Myung Jo Kim, Sung-Il Kang, Il Tae Son, Duck-Woo Kim, Sung-Bum Kang
PURPOSE: The Korean Society of Coloproctology holds its annual colorectal awareness month every September. This study analyzed the users and the contents of Korean tweets regarding colorectal cancer and estimated the transmissibility of the awareness campaign among Twitter users. METHODS: Prospective data collection was employed to accumulate Korean tweets containing the keywords "colorectal cancer," "colorectal cancer awareness campaign," "gold ribbon," and/or "love handle," from August 1 to September 30, 2014...
October 2016: Annals of Coloproctology
https://www.readbyqxmd.com/read/27847349/assessing-the-viability-of-social-media-for-disseminating-evidence-based-nutrition-practice-guideline-through-content-analysis-of-twitter-messages-and-health-professional-interviews-an-observational-study
#9
Rosa K Hand, Deric Kenne, Taylor M Wolfram, Jenica K Abram, Michael Fleming
BACKGROUND: Given the high penetration of social media use, social media has been proposed as a method for the dissemination of information to health professionals and patients. This study explored the potential for social media dissemination of the Academy of Nutrition and Dietetics Evidence-Based Nutrition Practice Guideline (EBNPG) for Heart Failure (HF). OBJECTIVES: The objectives were to (1) describe the existing social media content on HF, including message content, source, and target audience, and (2) describe the attitude of physicians and registered dietitian nutritionists (RDNs) who care for outpatient HF patients toward the use of social media as a method to obtain information for themselves and to share this information with patients...
November 15, 2016: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/27795924/giving-meaning-to-tweets-in-emergency-situations-a-semantic-approach-for-filtering-and-visualizing-social-data
#10
Teresa Onorati, Paloma Díaz
In this paper, we propose a semantic approach for monitoring information published on social networks about a specific event. In the era of Big Data, when an emergency occurs information posted on social networks becomes more and more helpful for emergency operators. As direct witnesses of the situation, people share photos, videos or text messages about events that call their attention. In the emergency operation center, these data can be collected and integrated within the management process to improve the overall understanding of the situation and in particular of the citizen reactions...
2016: SpringerPlus
https://www.readbyqxmd.com/read/27777215/-when-bad-is-good-identifying-personal-communication-and-sentiment-in-drug-related-tweets
#11
Raminta Daniulaityte, Lu Chen, Francois R Lamy, Robert G Carlson, Krishnaprasad Thirunarayan, Amit Sheth
BACKGROUND: To harness the full potential of social media for epidemiological surveillance of drug abuse trends, the field needs a greater level of automation in processing and analyzing social media content. OBJECTIVES: The objective of the study is to describe the development of supervised machine-learning techniques for the eDrugTrends platform to automatically classify tweets by type/source of communication (personal, official/media, retail) and sentiment (positive, negative, neutral) expressed in cannabis- and synthetic cannabinoid-related tweets...
October 24, 2016: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/27742923/geographic-variations-in-electronic-cigarette-advertisements-on-twitter-in-the-united-states
#12
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
https://www.readbyqxmd.com/read/27707822/using-social-media-to-monitor-mental-health-discussions-evidence-from-twitter
#13
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
https://www.readbyqxmd.com/read/27697951/-sweeter-than-a-swisher-amount-and-themes-of-little-cigar-and-cigarillo-content-on-twitter
#14
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
https://www.readbyqxmd.com/read/27687748/use-of-twitter-polls-to-determine-public-opinion-regarding-content-presented-at-a-major-national-specialty-society-meeting
#15
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
https://www.readbyqxmd.com/read/27685432/a-content-analysis-of-vaping-advertisements-on-twitter-november-2014
#16
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
https://www.readbyqxmd.com/read/27680322/twitter-as-a-potential-data-source-for-cardiovascular-disease-research
#17
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...
December 1, 2016: JAMA Cardiology
https://www.readbyqxmd.com/read/27573748/optimizing-the-presentation-of-mental-health-information-in-social-media-the-effects-of-health-testimonials-and-platform-on-source-perceptions-message-processing-and-health-outcomes
#18
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
https://www.readbyqxmd.com/read/27568339/exploring-trends-of-nonmedical-use-of-prescription-drugs-and-polydrug-abuse-in-the-twittersphere-using-unsupervised-machine-learning
#19
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...
February 2017: Addictive Behaviors
https://www.readbyqxmd.com/read/27565193/uncharted-waters-communicating-health-risks-during-the-2014-west-virginia-water-crisis
#20
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
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