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https://www.readbyqxmd.com/read/28818821/patient-participation-at-health-care-conferences-engaged-patients-increase-information-flow-expand-propagation-and-deepen-engagement-in-the-conversation-of-tweets-compared-to-physicians-or-researchers
#1
Audun Utengen, Dara Rouholiman, Jamison G Gamble, Francisco Jose Grajales Iii, Nisha Pradhan, Alicia C Staley, Liza Bernstein, Sean D Young, Kevin A Clauson, Larry F Chu
BACKGROUND: Health care conferences present a unique opportunity to network, spark innovation, and disseminate novel information to a large audience, but the dissemination of information typically stays within very specific networks. Social network analysis can be adopted to understand the flow of information between virtual social communities and the role of patients within the network. OBJECTIVE: The purpose of this study is to examine the impact engaged patients bring to health care conference social media information flow and how they expand dissemination and distribution of tweets compared to other health care conference stakeholders such as physicians and researchers...
August 17, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28793347/a-study-on-real-time-low-quality-content-detection-on-twitter-from-the-users-perspective
#2
Weiling Chen, Chai Kiat Yeo, Chiew Tong Lau, Bu Sung Lee
Detection techniques of malicious content such as spam and phishing on Online Social Networks (OSN) are common with little attention paid to other types of low-quality content which actually impacts users' content browsing experience most. The aim of our work is to detect low-quality content from the users' perspective in real time. To define low-quality content comprehensibly, Expectation Maximization (EM) algorithm is first used to coarsely classify low-quality tweets into four categories. Based on this preliminary study, a survey is carefully designed to gather users' opinions on different categories of low-quality content...
2017: PloS One
https://www.readbyqxmd.com/read/28782062/exploratory-analysis-of-marketing-and-non-marketing-e-cigarette-themes-on-twitter
#3
Sifei Han, Ramakanth Kavuluru
Electronic cigarettes (e-cigs) have been gaining popularity and have emerged as a controversial tobacco product since their introduction in 2007 in the U.S. The smoke-free aspect of e-cigs renders them less harmful than conventional cigarettes and is one of the main reasons for their use by people who plan to quit smoking. The US food and drug administration (FDA) has introduced new regulations early May 2016 that went into effect on August 8, 2016. Given this important context, in this paper, we report results of a project to identify current themes in e-cig tweets in terms of semantic interpretations of topics generated with topic modeling...
November 2016: Soc Inform (2016)
https://www.readbyqxmd.com/read/28736772/on-quantifying-diffusion-of-health-information-on-twitter
#4
Gokhan Bakal, Ramakanth Kavuluru
With the increasing use of digital technologies, online social networks are emerging as major means of communication. Recently, social networks such as Facebook and Twitter are also being used by consumers, care providers (physicians, hospitals), and government agencies to share health related information. The asymmetric user network and the short message size have made Twitter particularly popular for propagating health related content on the Web. Besides tweeting on their own, users can choose to retweet particular tweets from other users (even if they do not follow them on Twitter...
February 2017: IEEE-EMBS International Conference on Biomedical and Health Informatics
https://www.readbyqxmd.com/read/28725663/data-for-sochi-2014-olympics-discussion-on-social-media
#5
Andrei P Kirilenko
Presented data is related to the research article "Sochi 2014 Olympics on Twitter: Perspectives of Hosts and Guests" [2].  The data were collected through regular API Twitter search for five months windowing 2014 Sochi Olympic Games and further used for cluster analysis and analysis of the sentiment on the Games. The main dataset contains 616 thousand tweets, rigorously cleaned and filtered to remove irrelevant content. To comply with the Twitter API user agreement, the dataset presented in this article includes only generalized daily data with all information contained in individual tweets removed...
August 2017: Data in Brief
https://www.readbyqxmd.com/read/28723474/introducing-the-twitter-impact-factor-an-objective-measure-of-urology-s-academic-impact-on-twitter
#6
Diana Cardona-Grau, Igor Sorokin, Gabriel Leinwand, Charles Welliver
BACKGROUND: Social media use in academia and urology is rising. Specifically, individual journals now have Twitter accounts (Twitter Inc, San Francisco, CA, USA) and regularly tweet academic content. OBJECTIVE: To present and evaluate the Twitter impact factor (TIF), a novel means of measuring a journal's academic influence in the realm of social media. DESIGN, SETTING, AND PARTICIPANTS: Journal Citation Reports (JCR; Thomson Reuters, New York, NY, USA) for 2014 was queried for urologic academic journals...
October 2016: European Urology Focus
https://www.readbyqxmd.com/read/28719651/link-prediction-on-twitter
#7
Sanda Martinčić-Ipšić, Edvin Močibob, Matjaž Perc
With over 300 million active users, Twitter is among the largest online news and social networking services in existence today. Open access to information on Twitter makes it a valuable source of data for research on social interactions, sentiment analysis, content diffusion, link prediction, and the dynamics behind human collective behaviour in general. Here we use Twitter data to construct co-occurrence language networks based on hashtags and based on all the words in tweets, and we use these networks to study link prediction by means of different methods and evaluation metrics...
2017: PloS One
https://www.readbyqxmd.com/read/28710054/preliminary-evidence-for-the-emergence-of-a-health-care-online-community-of-practice-using-a-netnographic-framework-for-twitter-hashtag-analytics
#8
Damian Roland, Jesse Spurr, Daniel Cabrera
BACKGROUND: Online communities of practice (oCoPs) may emerge from interactions on social media. These communities offer an open digital space and flat role hierarchy for information sharing and provide a strong group identity, rapid flow of information, content curation, and knowledge translation. To date, there is only a small body of evidence in medicine or health care to verify the existence of an oCoP. OBJECTIVE: We aimed to examine the emergence of an oCoP through the study of social media interactions of the free open access medical education (FOAM) movement...
July 14, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28699569/leveraging-machine-learning-based-approaches-to-assess-human-papillomavirus-vaccination-sentiment-trends-with-twitter-data
#9
Jingcheng Du, Jun Xu, Hsing-Yi Song, Cui Tao
BACKGROUND: As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towards HPV vaccines, especially concerns on social media, is of significant importance for HPV vaccination promotion. METHODS: In this study, we leveraged a hierarchical machine learning based sentiment analysis system to extract public opinions towards HPV vaccines from Twitter...
July 5, 2017: BMC Medical Informatics and Decision Making
https://www.readbyqxmd.com/read/28669746/twitter-activity-associated-with-us-news-and-world-report-reputation-scores-for-urology-departments
#10
Shannon Ciprut, Caitlin Curnyn, Meena Davuluri, Kevan Sternberg, Stacy Loeb
OBJECTIVE: To analyze the association between US urology department Twitter presence and U.S. News and World Report (USNWR) reputation scores, to examine the content, informational value, and intended audience of these platforms, and to identify objectives for Twitter use. METHODS: We identified Twitter accounts for the top 50 ranked hospitals for urology in the 2016-2017 USNWR. Correlation coefficients were calculated between Twitter metrics (number of followers, following, tweets, and Klout influence scores) with USNWR reputation scores...
June 29, 2017: Urology
https://www.readbyqxmd.com/read/28664648/mental-health-nurses-use-of-twitter-for-professional-purposes-during-conference-participation-using-acmhn2016
#11
Martin Salzmann-Erikson
Scholars across different disciplines use Twitter to promote research and to communicate with society. Most conferences nowadays have their unique hashtag in which participants can communicate in real time. Previous research has reported on conference participants' use of Twitter, but no such studies are available in the field of mental health nursing. Thus, the explicit aim of the present study was to examine conference participants' use of Twitter during the 42nd International Mental Health Nursing Conference...
June 29, 2017: International Journal of Mental Health Nursing
https://www.readbyqxmd.com/read/28611016/how-do-you-relax-when-you-re-stressed-a-content-analysis-and-infodemiology-study-of-stress-related-tweets
#12
Son Doan, Amanda Ritchart, Nicholas Perry, Juan D Chaparro, Mike Conway
BACKGROUND: Stress is a contributing factor to many major health problems in the United States, such as heart disease, depression, and autoimmune diseases. Relaxation is often recommended in mental health treatment as a frontline strategy to reduce stress, thereby improving health conditions. Twitter is a microblog platform that allows users to post their own personal messages (tweets), including their expressions about feelings and actions related to stress and stress management (eg, relaxing)...
June 13, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28611015/too-far-to-care-measuring-public-attention-and-fear-for-ebola-using-twitter
#13
Liza Gg van Lent, Hande Sungur, Florian A Kunneman, Bob van de Velde, Enny Das
BACKGROUND: In 2014, the world was startled by a sudden outbreak of Ebola. Although Ebola infections and deaths occurred almost exclusively in Guinea, Sierra Leone, and Liberia, few potential Western cases, in particular, caused a great stir among the public in Western countries. OBJECTIVE: This study builds on the construal level theory to examine the relationship between psychological distance to an epidemic and public attention and sentiment expressed on Twitter...
June 13, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28596149/measuring-audience-engagement-for-public-health-twitter-chats-insights-from-livefitnola
#14
Kristina M Rabarison, Merriah A Croston, Naomi K Englar, Connie L Bish, Shelbi M Flynn, Carolyn C Johnson
BACKGROUND: Little empirical evidence exists on the effectiveness of using Twitter as a two-way communication tool for public health practice, such as Twitter chats. OBJECTIVE: We analyzed whether Twitter chats facilitate engagement in two-way communications between public health entities and their audience. We also describe how to measure two-way communications, incoming and outgoing mentions, between users in a protocol using free and publicly available tools (Symplur, OpenRefine, and Gephi)...
June 8, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28591792/corporate-sponsorship-of-physical-activity-promotion-programmes-part-of-the-solution-or-part-of-the-problem
#15
B Jane, K Gibson
Background: Parklives is a programme intended to raise levels of physical activity across the UK, funded by Coca-Cola GB and delivered in association with Local Authorities and other organizations. Such public-private partnerships have been advocated by many however critics suggest that the conflict between stakeholder motives is too great. Methods: This study conducted a content analysis of twitter content related to the ParkLives physical activity programme. Images and text were analysed from two separate weeks, one from the school vacation period and one during school term time...
June 7, 2017: Journal of Public Health
https://www.readbyqxmd.com/read/28551006/the-public-s-opinions-on-a-new-school-meals-policy-for-childhood-obesity-prevention-in-the-u-s-a-social-media-analytics-approach
#16
Yin Kang, Youfa Wang, Dongsong Zhang, Lina Zhou
OBJECTIVES: This study investigates the public's opinions on a new school meals policy for childhood obesity prevention, discovers aspects concerning those opinions, and identifies possible gender and regional differences in the U.S. METHODS: We collected 14,317 relevant tweets from 11,715 users since the national policy enactment on Feb 9, 2010 through Dec 31, 2015. We applied opinion mining techniques to classify tweets into positive, negative, and neutral categories, and conducted content analysis to gain insights into aspects of opinions in terms of target, holder, source, and function...
July 2017: International Journal of Medical Informatics
https://www.readbyqxmd.com/read/28538600/topical-geospatial-and-temporal-diffusion-of-the-2015-north-american-menopause-society-position-statement-on-nonhormonal-management-of-vasomotor-symptoms
#17
Janet S Carpenter, Tei Laine, Blake Harrison, Meghan LePage, Taran Pierce, Nathan Hoteling, Katy Börner
OBJECTIVE: We sought to depict the topical, geospatial, and temporal diffusion of the 2015 North American Menopause Society position statement on the nonhormonal management of menopause-associated vasomotor symptoms released on September 21, 2015, and its associated press release from September 23, 2015. METHODS: Three data sources were used: online news articles, National Public Radio, and Twitter. For topical diffusion, we compared keywords and their frequencies among the position statement, press release, and online news articles...
May 22, 2017: Menopause: the Journal of the North American Menopause Society
https://www.readbyqxmd.com/read/28449610/using-twitter-to-increase-content-dissemination-and-control-educational-content-with-presenter-initiated-and-generated-live-educational-tweets-piglets
#18
Sarah Tomlinson, Mary Haas, L Melissa Skaugset, Stephen J Cico, Margaret Wolff, Sally Santen, Michelle Lin, Robert Huang
Live-tweeting during educational presentations is typically learner-generated and can lead to misquoted information. Presenter curated tweets have not been well described. We created Presenter Initiated and Generated Live Educational Tweets (PIGLETs) with the goal to broaden the reach of educational conferences. We hypothesized that using PIGLETs would increase the reach and exposure of our material. We developed a prospective single-arm intervention study performed during the "Not Another Boring Lecture" workshops presented at two national conferences in 2015...
April 27, 2017: Medical Teacher
https://www.readbyqxmd.com/read/28432823/-gerimedjc-the-twitter-complement-to-the-traditional-format-geriatric-medicine-journal-club
#19
Amanda I Gardhouse, Laura Budd, Seu Y C Yang, Camilla L Wong
Twitter is a public microblogging platform that overcomes physical limitations and allows unrestricted participation beyond academic silos, enabling interactive discussions. Twitter-based journal clubs have demonstrated growth, sustainability, and worldwide communication, using a hashtag (#) to follow participation. This article describes the first year of #GeriMedJC, a monthly 1-hour live, 23-hour asynchronous Twitter-based complement to the traditional-format geriatric medicine journal club. The Twitter moderator tweets from the handle @GeriMedJC; encourages use of #GeriMedJC; and invites content experts, study authors, and followers to participate in critical appraisal of medical literature...
June 2017: Journal of the American Geriatrics Society
https://www.readbyqxmd.com/read/28381392/-whywetweetmh-understanding-why-people-use-twitter-to-discuss-mental-health-problems
#20
Natalie Berry, Fiona Lobban, Maksim Belousov, Richard Emsley, Goran Nenadic, Sandra Bucci
BACKGROUND: Use of the social media website Twitter is highly prevalent and has led to a plethora of Web-based social and health-related data available for use by researchers. As such, researchers are increasingly using data from social media to retrieve and analyze mental health-related content. However, there is limited evidence regarding why people use this emerging platform to discuss mental health problems in the first place. OBJECTIVES: The aim of this study was to explore the reasons why individuals discuss mental health on the social media website Twitter...
April 5, 2017: Journal of Medical Internet Research
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