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1 ivately and impersonally (e.g., mail, email, social media).
2 ns about the role and clinical usefulness of social media.
3 communications that take place in the modern social media.
4 information unobtrusively collected through social media.
5 th a purposive sample of staff recruited via social media.
6 among 1,137 DTC customers recruited through social media.
7 for fighting the spread of misinformation on social media.
8 ate public mentions of daughters and sons on social media.
9 ne of the major drivers of human behavior in social media.
10 dapting methods from academic publishing and social media.
11 groups least likely to use the Internet and social media.
12 workshops at SER annual meetings and through social media.
13 a useful tool for the detection of affect in social media.
14 e key generation in banking, defence or even social media.
15 This clash is particularly evident on social media.
16 er persons within existing and commonly used social media.
17 may be losing ground to tobacco promotion in social media.
18 ivic information increasingly occurs through social media.
19 he advocacy of tobacco control in the age of social media.
20 in informal sources such as the Internet and social media.
21 vent caused by a nerve agent as shown in the social media.
22 pervasive due to the proliferation of online social media.
23 nd inclusion in posting scientific images on social media.
24 looking at their online posting activity on social media.
25 lth states of individuals who frequently use social media.
26 ly used in studies of health behaviors using social media.
27 ties were shutting, a meme did the rounds on social media.
28 ity disorder (BPD) features in the domain of social media.
29 Should scientists use social media?
30 g information with transplant recipients via social media, 42% believed it should not be used to faci
33 fluential spreaders of information in online social media across various domains such as Twitter or F
36 mes will likely be enhanced over time by new social media algorithms designed to reduce division.
40 sets through web crawling, text mining, and social media analytics, primarily in the context of digi
41 ncreasing readership, and advocating through social media and a blog reaching a diverse audience.
42 use of, attitudes toward, and perceptions of social media and analyzed relationships between response
44 le foundation for replicating the effects of social media and chronicling the evolution of social int
45 ating disparate data streams, in the form of social media and crowd sourced data, into influenza pred
48 n that people consume online, the effects of social media and fact checking on exposure, or the effec
52 lows us to better encapsulate the effects of social media and other intermediaries on news exposure.
54 ody, as demonstrated through applications in social media and personal engagement, prosthetic control
55 method study, including content analysis of social media and principal components analysis analysis
58 atabases, and disseminated data requests via social media and targeted emails to international expert
59 ually increased in popularity in a time when social media and technology-based solutions are preferre
60 en are more likely to post "sexy selfies" on social media and that they spend more on beautification
61 scular medicine; and 3) present a vision for social media and the future of cardiovascular medicine.
62 dy advert that was distributed worldwide via social media and the UK National Autistic Society formed
63 w observable variables can be extracted from social media and then be used to model important latent
64 icide-reporting guidelines on news shared on social media and to assess how adherence affects reader
68 approaches using data from smaller regions, social media, and more search terms may improve sensitiv
69 ence of experiencing regret after posting on social media, and of deleting or editing their posts.
70 sses the use, promise, perils, and ethics of social media- and Internet-based data collection for pub
71 language processing, network analysis, and a social media application to analyze how cultural bridges
72 is suggests that article topics discussed on social media are more likely to relate to the more contr
75 machine learning, researchers are leveraging social media as a low-cost, low-burden method for measur
76 Rank sum test between articles randomized to social media as compared with those in the control group
77 nstitute a challenge for the reliable use of social media as forums for information-seeking and socia
78 trait scores reported posting more often on social media, as well as a higher incidence of experienc
79 ta such as health-related online queries and social media, as well as model inference methods, permit
80 ademic audiences on Twitter, suggesting that social media attention does not always correspond to gre
82 are more likely to inspire comments from new social media audiences if they create "cultural bridges,
83 acteristics of advocacy organizations, their social media audiences, and the broader social context i
84 m July 2017 to May 2018, an 8% decrease; and social media-based estimates predict a loss of 476,779 f
86 is et al. examined the cost-effectiveness of social media-based recruitment (advertisements and promo
87 great promise as a tool for epidemiologists, social media-based recruitment approaches do not current
94 members of advantaged groups, exemplified by social media campaigns centered around hashtags, such as
95 hat Russia and other countries have launched social-media campaigns designed to increase political di
96 3) were associated with stronger belief that social media can be influential in living organ donation
99 ed, researchers are beginning to explore how social media can be used to study person-to-person commu
102 to understand and quantify the ways in which social media can increase the impact of published cardio
103 dmissions, analyzing digital footprints from social media can inform our understanding of individuals
106 espite their entertainment oriented purpose, social media changed the way users access information, d
107 l "moral contagion." Using a large sample of social media communications about three polarizing moral
109 shortage continues to grow, the creation of social media communities by transplant hospitals and the
111 as their telecommunication networks, online social media contacts, geolocation, and demographic data
112 d between Twitter-wide mental health-related social media content and crisis episodes in mental healt
113 each element, underscoring the complexity of social media contexts as they shift to a central topic w
114 While there are many benefits to the use of social media, cyberbullying has emerged as a potential h
116 est that deep-learning approaches applied to social media data can be used to identify potential subs
125 to develop further in the near-future, more social media data will become available, and could be us
126 first use of structural equation modeling of social media data with the goal of analyzing factors inf
128 risk using a sterile pharmaceutical based on social media data, current aseptic technique procedures
131 uffer from an excessive, uncontrolled use of social media despite experiencing negative consequences.
133 There is a growing need to understand how social media-driven communication is perceived by provid
134 his review delineates core components of the social media ecosystem, specifying how online platforms
137 cts and a discussion of how the Internet and social media encourage the propagation of polarized conf
138 sed which represents key factors that drives social media engagement including the iterative accumula
139 Using diverse methodologies (for example, social media engagement on Facebook) and nationally repr
140 tted by the marketing of flavored tobacco, a social media environment that promotes water pipe smokin
141 in part to technological advances including social media, experimenters now target and affect whole
142 tation rates were associated with mention in social media, expert recommendation, social bookmarking,
143 Articles were randomized to receive targeted social media exposure from Circulation, including postin
145 ive symptoms were associated with online and social media exposure to protest-related news (incidence
146 ilability of user-provided content in online social media facilitates the aggregation of people aroun
148 rted by heavy social media users who trusted social media for critical updates (b = 0.06, SE = 0.01;
149 speech-to-speech translation engines, mining social media for information about health or finance, an
150 rk to guide transplant stakeholders in using social media for public and patient communication about
151 veals that advice and guidance on the use of social media for research studies is not well understood
152 tervals during a crisis event and monitoring social media for rumors to mitigate rumor exposure and d
153 is designed to analyze data from two popular social media forums, namely, Reddit and Twitter and can
155 itical implications for democratic practice, social media governance, and the interdisciplinary study
156 ansplant centers with higher reported use of social media had more favorable views about sharing info
165 increased publications and attention through social media, have considerably raised awareness of this
167 ng the relative value of multiple sources of social media in models that estimate visitation at unmon
168 implications for confidentiality, the use of social media in patient education, and how all of this a
169 t increase in paper retractions, the role of social media in scientific ethics, several instructional
172 also report a higher degree of importance of social media in their social behavior and daily routines
173 cterizes cyberbullying within the context of social media, including attributes of the recipients and
175 erstand the relationship between physicians' social media influence and their scholarly and clinical
176 l as its implications for future research on social media influence campaigns, political polarization
177 as well as mining of digital traces such as social media, Internet searches, and cell-phone logs.
180 is unclear whether information derived from social media is generalizable to broader populations, es
184 ransplant center involvement and support for social media may influence clinician perceptions and pra
186 ormation Theory measures to demonstrate that social media message sentiment can contain statistically
187 ined why some advocacy organizations produce social media messages that inspire far-ranging conversat
196 vides recommendations about the influence of social media on the patient-physician relationship, the
197 tural model illustrates the effects of using social media on the social skills and nurse-patient inte
200 , did a review of the literature, and used a social media outlet (Twitter) to identify organisations
202 n has occurred in published commentaries and social media outlets, resulting in a fragmented discours
203 e investigate one potential approach: having social media platform algorithms preferentially display
204 We queried text comments from Reddit, a social media platform and the fifth most popular website
205 In this study, we analysed posts from the social media platform Reddit and developed classifiers t
206 fied 25,126 AIT posts, which were matched by social media platform to 25,126 influenza vaccination-re
207 ers seeking specific health information on a social media platform to evaluate the volume of informat
210 predictions based on digital footprints from social media platforms and demonstrates the possibility
215 ted data from more than 10 common text-based social media platforms including Facebook, Twitter, and
218 are readily-applicable by users of existing social media platforms to conceal any connections they d
220 how perceiving the presence of others (as on social media platforms) affects the way that individuals
221 isted by collective online adaptations-cross social media platforms, sometimes using 'back doors' eve
222 We evaluate the usefulness of different social media platforms-Panoramio, Flickr, and Instagram-
227 was that weekly internet-based searches and social media posts about conjunctivitis may reflect the
233 on Twitter); 2) provide perspective on best social media practices in academic and clinical cardiova
235 orical perception arise because the original social-media question was an alternative-forced-choice?
237 clinical trials were beaten off the mark by social media, rumors, and panic in the early phase of th
239 ith confidential sources by creating our own social media site, contracting with Chinese firms to ins
242 available information, or the purposes that social media sites serve for patient decisional and supp
243 ence of internet-based patient resources and social media sites, and the rise of online healthcare ac
244 censorship by creating accounts on numerous social media sites, randomly submitting different texts,
245 munication channels have expanded to include social media sites, where messages can be easily amplifi
246 atistics, discussions in online comments and social media, social bookmarking, and recommendations.
249 ere that the sample was recruited solely via social media, the study advert was viewed only by people
255 analyzed data generated by mobile phones and social media to estimate the weekly island-wide populati
257 starting point for research using data from social media to illuminate the cognitive and emotional p
258 back devices, and debriefing; and the use of social media to improve cardiopulmonary resuscitation ap
260 d events, measured by flood-related posts on social media, to estimate county-specific flood threshol
261 esearch, described or evaluated the use of a social media tool in the context of cyberbullying, and w
263 this paper is to: 1) introduce the basics of social media usage (with the focus on Twitter); 2) provi
265 The exposure considered was the frequency of social media use (from weekly or less to very frequent [
267 plored associations between the frequency of social media use and later mental health and wellbeing i
268 ern about the potential associations between social media use and mental health and wellbeing in youn
269 we observed a positive relationship between social media use and total daily steps across individual
274 Mental health harms related to very frequent social media use in girls might be due to a combination
275 geographical and biological factors explain social media use in sub-Saharan African protected areas.
279 ur findings suggest that the extent to which social media use is related to well-being depends on how
282 ofile sheet assessed demographic profile and social media use profile in terms of the mode, frequency
283 tudy determined the interrelationships among social media use profile, social skills, and nurse-patie
284 illustrated the negative effects of frequent social media use to patient openness (beta=-0.18, p<0.05
285 ical activity attenuated the associations of social media use with GHQ12 high score (proportion media
286 teristics of social media users, patterns of social media use, and appropriate sampling frames limit
287 th a battery of questions about their recent social media use, and then assessed their BPD features u
290 more comments about their messages from new social media users than those that do not, controlling f
291 Higher acute stress was reported by heavy social media users who trusted social media for critical
292 e data on the demographic characteristics of social media users, patterns of social media use, and ap
293 that inspire far-ranging conversation among social media users, whereas the vast majority of them re
296 increase in youth suicides that result from social media vitriol(7); inciting mass shootings such as
297 s.This is believed to be the first time that social media was used to evaluate clinical data and mana
299 ent in news articles about suicide shared on social media while the presence of protective elements w