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https://www.readbyqxmd.com/read/27867367/mentalizing-and-information-propagation-through-social-network-evidence-from-a-resting-state-fmri-study
#1
Huijun Zhang, Lei Mo
Microblogs is one of the main social networking channels by which information is spread. Among them, Sina Weibo is one of the largest social networking channels in China. Millions of users repost information from Sina Weibo and share embedded emotion at the same time. The present study investigated participants' propensity to repost microblog messages of positive, negative, or neutral valence, and studied the neural correlates during resting state with the reposting rate of each type microblog messages. Participants preferred to repost negative messages relative to positive and neutral messages...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27649530/inferring-atmospheric-particulate-matter-concentrations-from-chinese-social-media-data
#2
Zhu Tao, Aynne Kokas, Rui Zhang, Daniel S Cohan, Dan Wallach
Although studies have increasingly linked air pollution to specific health outcomes, less well understood is how public perceptions of air quality respond to changing pollutant levels. The growing availability of air pollution measurements and the proliferation of social media provide an opportunity to gauge public discussion of air quality conditions. In this paper, we consider particulate matter (PM) measurements from four Chinese megacities (Beijing, Shanghai, Guangzhou, and Chengdu) together with 112 million posts on Weibo (a popular Chinese microblogging system) from corresponding days in 2011-2013 to identify terms whose frequency was most correlated with PM levels...
2016: PloS One
https://www.readbyqxmd.com/read/27577594/the-use-of-twitter-by-radiology-journals-an-analysis-of-twitter-activity-and-impact%C3%A2-factor
#3
Brendan S Kelly, Ciaran E Redmond, Gregory J Nason, Gerard M Healy, Niall A Horgan, Eric J Heffernan
PURPOSE: Medical journals use social media as a means to disseminate new research and interact with readers. The microblogging site Twitter is one such platform. The aim of this study was to analyze the recent use of Twitter by the leading radiology journals. METHODS: The top 50 journals by Impact Factor were included. Twitter profiles associated with these journals, or their corresponding societies, were identified. Whether each journal used other social media platforms was also recorded...
August 28, 2016: Journal of the American College of Radiology: JACR
https://www.readbyqxmd.com/read/27568339/exploring-trends-of-nonmedical-use-of-prescription-drugs-and-polydrug-abuse-in-the-twittersphere-using-unsupervised-machine-learning
#4
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/27539201/a-web-based-and-mobile-patient-centered-microblog-messaging-platform-to-improve-care-team-communication-in-acute-care
#5
Anuj K Dalal, Jeffrey Schnipper, Anthony Massaro, John Hanna, Eli Mlaver, Kelly McNally, Diana Stade, Constance Morrison, David W Bates
Communication in acute care settings is fragmented and occurs asynchronously via a variety of electronic modalities. Providers are often not on the same page with regard to the plan of care. We designed and developed a secure, patient-centered "microblog" messaging platform that identifies care team members by synchronizing with the electronic health record, and directs providers to a single forum where they can communicate about the plan of care. The system was used for 35% of patients admitted to a medical intensive care unit over a 6-month period...
August 18, 2016: Journal of the American Medical Informatics Association: JAMIA
https://www.readbyqxmd.com/read/27537406/online-discussion-on-kidneystones-a-longitudinal-assessment-of-activity-users-and-content
#6
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
https://www.readbyqxmd.com/read/27441584/combining-human-computing-and-machine-learning-to-make-sense-of-big-aerial-data-for-disaster-response
#7
Ferda Ofli, Patrick Meier, Muhammad Imran, Carlos Castillo, Devis Tuia, Nicolas Rey, Julien Briant, Pauline Millet, Friedrich Reinhard, Matthew Parkan, Stéphane Joost
Aerial imagery captured via unmanned aerial vehicles (UAVs) is playing an increasingly important role in disaster response. Unlike satellite imagery, aerial imagery can be captured and processed within hours rather than days. In addition, the spatial resolution of aerial imagery is an order of magnitude higher than the imagery produced by the most sophisticated commercial satellites today. Both the United States Federal Emergency Management Agency (FEMA) and the European Commission's Joint Research Center (JRC) have noted that aerial imagery will inevitably present a big data challenge...
March 2016: Big Data
https://www.readbyqxmd.com/read/27415429/a-data-based-approach-to-discovering-multi-topic-influential-leaders
#8
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
https://www.readbyqxmd.com/read/27390193/analyzing-and-identifying-teens-stressful-periods-and-stressor-events-from-a-microblog
#9
Qi Li, Yuanyuan Xue, Liang Zhao, Jia Jia, Ling Feng
Increased health problems among adolescents caused by psychological stress have aroused worldwide attention. Long-standing stress without targeted assistance and guidance negatively impacts the healthy growth of adolescents, threatening the future development of our society. So far, research focused on detecting adolescent psychological stress revealed from each individual post on microblogs. However, beyond stressful moments, identifying teens stressful periods and stressor events that trigger each stressful period is more desirable to understand the stress from appearance to essence...
June 30, 2016: IEEE Journal of Biomedical and Health Informatics
https://www.readbyqxmd.com/read/27381506/microblogging-as-an-extension-of-science-reporting
#10
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
https://www.readbyqxmd.com/read/27375343/ambient-awareness-from-random-noise-to-digital-closeness-in-online-social-networks
#11
Ana Levordashka, Sonja Utz
Ambient awareness refers to the awareness social media users develop of their online network in result of being constantly exposed to social information, such as microblogging updates. Although each individual bit of information can seem like random noise, their incessant reception can amass to a coherent representation of social others. Despite its growing popularity and important implications for social media research, ambient awareness on public social media has not been studied empirically. We provide evidence for the occurrence of ambient awareness and examine key questions related to its content and functions...
July 2016: Computers in Human Behavior
https://www.readbyqxmd.com/read/27357424/trial-promoter-a-web-based-tool-for-boosting-the-promotion-of-clinical-research-through-social-media
#12
Katja Reuter, Francis Ukpolo, Edward Ward, Melissa L Wilson, Praveen Angyan
BACKGROUND: Scarce information about clinical research, in particular clinical trials, is among the top reasons why potential participants do not take part in clinical studies. Without volunteers, on the other hand, clinical research and the development of novel approaches to preventing, diagnosing, and treating disease are impossible. Promising digital options such as social media have the potential to work alongside traditional methods to boost the promotion of clinical research. However, investigators and research institutions are challenged to leverage these innovations while saving time and resources...
2016: Journal of Medical Internet Research
https://www.readbyqxmd.com/read/27252566/social-media-s-initial-reaction-to-information-and-misinformation-on-ebola-august-2014-facts-and-rumors
#13
Isaac Chun-Hai Fung, King-Wa Fu, Chung-Hong Chan, Benedict Shing Bun Chan, Chi-Ngai Cheung, Thomas Abraham, Zion Tsz Ho Tse
OBJECTIVE: We analyzed misinformation about Ebola circulating on Twitter and Sina Weibo, the leading Chinese microblog platform, at the outset of the global response to the 2014-2015 Ebola epidemic to help public health agencies develop their social media communication strategies. METHODS: We retrieved Twitter and Sina Weibo data created within 24 hours of the World Health Organization announcement of a Public Health Emergency of International Concern (Batch 1 from August 8, 2014, 06:50:00 Greenwich Mean Time [GMT] to August 9, 2014, 06:49:59 GMT) and seven days later (Batch 2 from August 15, 2014, 06:50:00 GMT to August 16, 2014, 06:49:59 GMT)...
May 2016: Public Health Reports
https://www.readbyqxmd.com/read/27239079/how-to-normalize-twitter-counts-a-first-attempt-based-on-journals-in-the-twitter-index
#14
Lutz Bornmann, Robin Haunschild
One possible way of measuring the broad impact of research (societal impact) quantitatively is the use of alternative metrics (altmetrics). An important source of altmetrics is Twitter, which is a popular microblogging service. In bibliometrics, it is standard to normalize citations for cross-field comparisons. This study deals with the normalization of Twitter counts (TC). The problem with Twitter data is that many papers receive zero tweets or only one tweet. In order to restrict the impact analysis on only those journals producing a considerable Twitter impact, we defined the Twitter Index (TI) containing journals with at least 80 % of the papers with at least 1 tweet each...
2016: Scientometrics
https://www.readbyqxmd.com/read/27232655/smoking-prevention-in-china-a-content-analysis-of-an-anti-smoking-social-media-campaign
#15
Shaohai Jiang, Christopher E Beaudoin
The China Tobacco Control Media Campaign on Sina Weibo is novel in the context of smoking prevention and cessation in China and has not to date been evaluated. This study draws on health behavior theories and dialogic theory in public relations to analyze microblog campaign postings and their relationships with the outcome of online audience engagement. Microblog postings from May 2011 to January 2015 were content analyzed, showing that the most common persuasive content characteristic was perceived risk, followed by subjective norms and self-efficacy...
July 2016: Journal of Health Communication
https://www.readbyqxmd.com/read/27227154/medical-institutions-and-twitter-a-novel-tool-for-public-communication-in-japan
#16
Yuya Sugawara, Hiroto Narimatsu, Atsushi Tsuya, Atsushi Tanaka, Akira Fukao
BACKGROUND: Twitter is a free social networking and microblogging service on the Internet. Medical professionals and patients have started to use Twitter in medicine. Twitter use by medical institutions can interactively and efficiently provide public health information and education for laypeople. OBJECTIVE: This study examined Twitter usage by medical institutions. METHODS: We reviewed all Japanese user accounts in which the names of medical institutions were described in the user's Twitter profile...
January 2016: JMIR Public Health and Surveillance
https://www.readbyqxmd.com/read/27199850/modeling-of-causes-of-sina-weibo-continuance-intention-with-mediation-of-gender-effects
#17
Lingyu Wang, Wenguo Zhao, Xianghong Sun, Rui Zheng, Weina Qu
Sina Weibo is a Twitter-like social networking site and one of the most popular microblogging services in China. This study aims to examine the factors that influence the intentions of users to continue using this site. This paper synthesizes the expectation confirmation model, constructs of habit and perceived critical mass, and the gender effect to construct a theoretical model to explain and predict these user intentions. The model is then tested via an online survey of 498 Sina Weibo users and partial least squares (PLS) modeling...
2016: Frontiers in Psychology
https://www.readbyqxmd.com/read/27051875/the-dynamics-of-information-driven-coordination-phenomena-a-transfer-entropy-analysis
#18
Javier Borge-Holthoefer, Nicola Perra, Bruno Gonçalves, Sandra González-Bailón, Alex Arenas, Yamir Moreno, Alessandro Vespignani
Data from social media provide unprecedented opportunities to investigate the processes that govern the dynamics of collective social phenomena. We consider an information theoretical approach to define and measure the temporal and structural signatures typical of collective social events as they arise and gain prominence. We use the symbolic transfer entropy analysis of microblogging time series to extract directed networks of influence among geolocalized subunits in social systems. This methodology captures the emergence of system-level dynamics close to the onset of socially relevant collective phenomena...
April 2016: Science Advances
https://www.readbyqxmd.com/read/27034625/mining-multi-aspect-reflection-of-news-events-in-twitter-discovery-linking-and-presentation
#19
Jingjing Wang, Wenzhu Tong, Hongkun Yu, Min Li, Xiuli Ma, Haoyan Cai, Tim Hanratty, Jiawei Han
A major event often has repercussions on both news media and microblogging sites such as Twitter. Reports from mainstream news agencies and discussions from Twitter complement each other to form a complete picture. An event can have multiple aspects (sub-events) describing it from multiple angles, each of which attracts opinions/comments posted on Twitter. Mining such reflections is interesting to both policy makers and ordinary people seeking information. In this paper, we propose a unified framework to mine multi-aspect reflections of news events in Twitter...
November 2015: Proceedings
https://www.readbyqxmd.com/read/26991442/identifying-topics-in-microblogs-using-wikipedia
#20
Ahmet Yıldırım, Suzan Üsküdarlı, Arzucan Özgür
Twitter is an extremely high volume platform for user generated contributions regarding any topic. The wealth of content created at real-time in massive quantities calls for automated approaches to identify the topics of the contributions. Such topics can be utilized in numerous ways, such as public opinion mining, marketing, entertainment, and disaster management. Towards this end, approaches to relate single or partial posts to knowledge base items have been proposed. However, in microblogging systems like Twitter, topics emerge from the culmination of a large number of contributions...
2016: PloS One
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