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https://www.readbyqxmd.com/read/29021528/forecasting-the-onset-and-course-of-mental-illness-with-twitter-data
#1
Andrew G Reece, Andrew J Reagan, Katharina L M Lix, Peter Sheridan Dodds, Christopher M Danforth, Ellen J Langer
We developed computational models to predict the emergence of depression and Post-Traumatic Stress Disorder in Twitter users. Twitter data and details of depression history were collected from 204 individuals (105 depressed, 99 healthy). We extracted predictive features measuring affect, linguistic style, and context from participant tweets (N = 279,951) and built models using these features with supervised learning algorithms. Resulting models successfully discriminated between depressed and healthy content, and compared favorably to general practitioners' average success rates in diagnosing depression, albeit in a separate population...
October 11, 2017: Scientific Reports
https://www.readbyqxmd.com/read/28988431/hearing-loss-on-social-media-who-is-winning-hearts-and-minds
#2
Matthew G Crowson, Debara L Tucci, David Kaylie
OBJECTIVES/HYPOTHESIS: To analyze specific patterns of Twitter usage using common references to hearing loss, and characterize the virtual public that comprises the hearing loss community to inform hearing loss stakeholders for opportunities for engagement and outreach. STUDY DESIGN: Social media network analysis. METHODS: Twitter tweets were sampled from July 2016 to September 2016 using #hearing, #hearingloss, #deaf, #hearingimpairment, #hardofhearing, #deafness, #hearingmatters, #hearinghealth, and #hearingimpaired tags...
October 8, 2017: Laryngoscope
https://www.readbyqxmd.com/read/28982821/comparing-human-papillomavirus-vaccine-concerns-on-twitter-a-cross-sectional-study-of-users-in-australia-canada-and-the-uk
#3
Gilla K Shapiro, Didi Surian, Adam G Dunn, Ryan Perry, Margaret Kelaher
OBJECTIVE: Opposition to human papillomavirus (HPV) vaccination is common on social media and has the potential to impact vaccine coverage. This study aims to conduct an international comparison of the proportions of tweets about HPV vaccines that express concerns, the types of concerns expressed and the social connections among users posting about HPV vaccines in Australia, Canada and the UK. DESIGN: Using a cross-sectional design, an international comparison of English language tweets about HPV vaccines and social connections among Twitter users posting about HPV vaccines between January 2014 and April 2016 was conducted...
October 5, 2017: BMJ Open
https://www.readbyqxmd.com/read/28976644/ask-an-anatomist-identifying-global-trends-topics-and-themes-of-academic-anatomists-using-twitter
#4
Madeleine J Marsland, Michelle D Lazarus
Social media (SoMe) is increasingly used in higher education (HE) to access knowledge and enable global communication. The SoMe platform Twitter(®) is particularly beneficial in these contexts because it is readily accessible, easily searchable (via hashtags) and global. Given these advantages, the twitter platform @AskAnatomist was created to foster a global weekly tweet chat, where students and academics can ask and address anatomy-related questions. The aim of this study was to identify themes arising in the early stages of the @AskAnatomy Twitter community to gain insights into current needs/key areas for academic anatomists, students, and other followers...
October 4, 2017: Anatomical Sciences Education
https://www.readbyqxmd.com/read/28962737/what-are-people-tweeting-about-orthodontic-retention-a-cross-sectional-content-analysis
#5
Dalya Al-Moghrabi, Ama Johal, Padhraig S Fleming
INTRODUCTION: Social media can offer valuable insights in relation to the perceptions and impact of medical treatments on patient groups. There is also a lack of information concerning patient experiences with orthodontic retainers and little appreciation of barriers to optimal compliance with orthodontic retention. The aim of this study was to describe the content of Twitter posts related to orthodontic retainers. METHODS: Publicly available tweets were prospectively collected over a period of 3 to 4 weeks using a bespoke social media monitoring tool...
October 2017: American Journal of Orthodontics and Dentofacial Orthopedics
https://www.readbyqxmd.com/read/28951381/classification-of-twitter-users-who-tweet-about-e-cigarettes
#6
Annice Kim, Thomas Miano, Robert Chew, Matthew Eggers, James Nonnemaker
BACKGROUND: Despite concerns about their health risks, e‑cigarettes have gained popularity in recent years. Concurrent with the recent increase in e‑cigarette use, social media sites such as Twitter have become a common platform for sharing information about e-cigarettes and to promote marketing of e‑cigarettes. Monitoring the trends in e‑cigarette-related social media activity requires timely assessment of the content of posts and the types of users generating the content. However, little is known about the diversity of the types of users responsible for generating e‑cigarette-related content on Twitter...
September 26, 2017: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/28890783/twitter-and-traumatic-brain-injury-a-content-and-sentiment-analysis-of-tweets-pertaining-to-sport-related-brain-injury
#7
Adriana M Workewych, Madeline Ciuffetelli Muzzi, Rowan Jing, Stanley Zhang, Jane Topolovec-Vranic, Michael D Cusimano
OBJECTIVES: Sport-related traumatic brain injuries are a significant public health burden, with hundreds of thousands sustained annually in North America. While sports offer numerous physical and social health benefits, traumatic brain injuries such as concussion can seriously impact a player's life, athletic career, and sport enjoyment. The culture in many sports encourages winning at all costs, placing athletes at risk for traumatic brain injuries. As social media has become a central part of everyday life, the content of users' messages often reflects the prevailing culture related to a particular event or health issue...
2017: SAGE Open Medicine
https://www.readbyqxmd.com/read/28881004/-colorectalsurgery
#8
R R W Brady, S J Chapman, S Atallah, M Chand, J Mayol, A M Lacy, S D Wexner
BACKGROUND: The use of social media platforms among healthcare professionals is increasing. A Twitter social media campaign promoting the hashtag #colorectalsurgery was launched with the aim of providing a specialty-specific forum to collate discussions and science relevant to an engaged, global community of coloproctologists. This article reviews initial experiences of the early adoption, engagement and utilization of this pilot initiative. METHODS: The hashtag #colorectalsurgery was promoted via the online microblogging service Twitter across a 180-day interval...
October 2017: British Journal of Surgery
https://www.readbyqxmd.com/read/28867441/tweeting-pp-an-analysis-of-the-2015-2016-planned-parenthood-controversy-on-twitter
#9
Leo Han, Lisa Han, Blair Darney, Maria I Rodriguez
OBJECTIVES: We analyzed Twitter tweets and Twitter provided user data to give geographical, temporal and content insight into the use of social media in the Planned Parenthood video controversy. METHODOLOGY: We randomly sampled the full Twitter repository (also known as the Firehose) (n=30,000) for tweets containing the phrase "planned parenthood" as well as group defining hashtags "#defundpp" and "#standwithpp." We used demographic content provided by the user and word analysis to generate charts, maps and timeline visualizations...
August 31, 2017: Contraception
https://www.readbyqxmd.com/read/28864427/social-media-for-the-dissemination-of-cochrane-child-health-evidence-evaluation-study
#10
Michele P Dyson, Amanda S Newton, Kassi Shave, Robin M Featherstone, Denise Thomson, Aireen Wingert, Ricardo M Fernandes, Lisa Hartling
BACKGROUND: Health care providers value ready access to reliable synthesized information to support point-of-care decision making. Web-based communities, facilitated by the adoption of social media tools such as Facebook, Twitter, and YouTube, are increasingly being used for knowledge dissemination, bridging the gap between knowledge generation and synthesis and knowledge implementation. OBJECTIVE: Our objective was to implement and evaluate a structured social media strategy, using multiple platforms, to disseminate Cochrane Child Health evidence to health care providers caring for children...
September 1, 2017: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/28855771/surgery-goes-social-the-extent-and-patterns-of-social-media-utilization-by-major-trauma-acute-and-critical-care-surgery-societies
#11
Jawad M Khalifeh, Haytham M A Kaafarani
CONTEXT AND AIMS: The evolving influence of social media in trauma, acute, and critical care surgery (TACCS) cannot be ignored. We sought to investigate the extent and patterns of use of social networks by major regional, national and international TACCS societies. MATERIALS AND METHODS: The two leading social networking sites, Facebook (FB) and Twitter (TW), were thoroughly examined for the presence of official accounts for each of the major TACCS societies. An official FB or TW account was defined as one which has a blue verified badge and/or is linked the society's official website...
July 2017: Journal of Emergencies, Trauma, and Shock
https://www.readbyqxmd.com/read/28841509/exploring-online-communication-about-cigarette-smoking-among-twitter-users-who-self-identify-as-having-schizophrenia
#12
Yulin Hswen, John A Naslund, Pooja Chandrashekar, Robert Siegel, John S Brownstein, Jared B Hawkins
Novel approaches are needed to address elevated tobacco use among people with schizophrenia. This exploratory study examined the frequency, timing, and type of communication about tobacco-related content on Twitter among users who self-identify as having schizophrenia compared with users from the general population. Over a 200-day period from January to July 2016, Twitter users who self-identify as having a schizophrenia spectrum disorder (n = 203) and a randomly selected group of general population control users (n = 173) posted 1,544,122 tweets...
August 2, 2017: Psychiatry Research
https://www.readbyqxmd.com/read/28832603/social-media-and-colorectal-cancer-a-systematic-review-of-available-resources
#13
Gianluca Pellino, Constantinos Simillis, Shengyang Qiu, Shahnawaz Rasheed, Sarah Mills, Oliver Warren, Christos Kontovounisios, Paris P Tekkis
AIM: Social media (SM) can provide information and medical knowledge to patients. Our aim was to review the literature and web-based content on SM that is used by Colorectal Cancer (CRC) patients, as well as surgeons' interaction with SM. METHOD: Studies published between 2006 and 2016 were assessed. We also assessed the impact of several hashtags on Twitter with a freeware (Symplur). RESULTS: Nine studies were included assessing Twitter (78%), Forums/Cancer-survivor networks (33%), and Facebook (22%)...
2017: PloS One
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
#14
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
#15
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
#16
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
#17
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
#18
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
#19
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
#20
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
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