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https://www.readbyqxmd.com/read/28152846/cancer-communication-in-the-social-media-age-could-twitter-help-clinical-trial-accrual
#1
Roger B Cohen, Raina M Merchant, Marilyn M Schapira
: 194 Background: Twitter, a social networking site, is transforming communication. Effective use of Twitter might be one way to communicate with the public about cancer clinical trials and increase awareness and perhaps enrollment. We conducted a content analysis of tweets about lung cancer, describing dialogues specific to lung cancer clinical trials and seeing where embedded-links in tweets about therapeutic trials are leading the public. METHODS: We used the Twitter search engine to identify a cohort of 26,059 tweets with the keyword "lung cancer" from January 5 - 21, 2015...
March 2016: Journal of Clinical Oncology: Official Journal of the American Society of Clinical Oncology
https://www.readbyqxmd.com/read/28108428/identifying-topics-for-e-cigarette-user-generated-contents-a-case-study-from-multiple-social-media-platforms
#2
Yongcheng Zhan, Ruoran Liu, Qiudan Li, Scott James Leischow, Daniel Dajun Zeng
BACKGROUND: Electronic cigarette (e-cigarette) is an emerging product with a rapid-growth market in recent years. Social media has become an important platform for information seeking and sharing. We aim to mine hidden topics from e-cigarette datasets collected from different social media platforms. OBJECTIVE: This paper aims to gain a systematic understanding of the characteristics of various types of social media, which will provide deep insights into how consumers and policy makers effectively use social media to track e-cigarette-related content and adjust their decisions and policies...
January 20, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28104577/investigating-subjective-experience-and-the-influence-of-weather-among-individuals-with-fibromyalgia-a-content-analysis-of-twitter
#3
Pari Delir Haghighi, Yong-Bin Kang, Rachelle Buchbinder, Frada Burstein, Samuel Whittle
BACKGROUND: Little is understood about the determinants of symptom expression in individuals with fibromyalgia syndrome (FMS). While individuals with FMS often report environmental influences, including weather events, on their symptom severity, a consistent effect of specific weather conditions on FMS symptoms has yet to be demonstrated. Content analysis of a large number of messages by individuals with FMS on Twitter can provide valuable insights into variation in the fibromyalgia experience from a first-person perspective...
January 19, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28097527/breast-cancer-screening-and-social-media-a-content-analysis-of-evidence-use-and-guideline-opinions-on-twitter
#4
Anthony Nastasi, Tyler Bryant, Joseph K Canner, Mark Dredze, Melissa S Camp, Neeraja Nagarajan
There is ongoing debate regarding the best mammography screening practices. Twitter has become a powerful tool for disseminating medical news and fostering healthcare conversations; however, little work has been done examining these conversations in the context of how users are sharing evidence and discussing current guidelines for breast cancer screening. To characterize the Twitter conversation on mammography and assess the quality of evidence used as well as opinions regarding current screening guidelines, individual tweets using mammography-related hashtags were prospectively pulled from Twitter from 5 November 2015 to 11 December 2015...
January 17, 2017: Journal of Cancer Education: the Official Journal of the American Association for Cancer Education
https://www.readbyqxmd.com/read/28090560/perceptions-of-secondhand-e-cigarette-aerosol-among-twitter-users
#5
Jennifer B Unger, Patricia Escobedo, Jon-Patrick Allem, Daniel W Soto, Kar-Hai Chu, Tess Cruz
OBJECTIVES: There is considerable debate among the public health community about the health risks of secondhand exposure to the aerosol from electronic cigarettes (e-cigarettes). Despite mounting scientific evidence on the chemical content of e-cigarette aerosol, public perceptions of the relative safety of secondhand e-cigarette aerosol have not been well characterized. METHOD: This study collected tweets, or messages sent using Twitter, about exposure to secondhand e-cigarette aerosol over a 6-week period in 2015...
April 2016: Tobacco Regulatory Science
https://www.readbyqxmd.com/read/28080152/ideological-consumerism-in-colombian-elections-2015-links-between-political-ideology-twitter-activity-and-electoral-results
#6
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
#7
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
#8
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
#9
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
#10
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
#11
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
#12
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
#13
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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)...
February 2017: Journal of the American College of Radiology: JACR
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