Facebook Likes Research Articles

Use of social media across US hospitals: descriptive analysis of adoption and utilization.

BackgroundUse of social media has become widespread across the United States. Although businesses have invested in social media to engage consumers and promote products, less is known about the extent to which hospitals are using social media to interact with patients and promote health.ObjectiveThe aim was to investigate the relationship between hospital social media extent of adoption and utilization relative to hospital characteristics.MethodsWe conducted a cross-sectional review of hospital-related activity on 4 social media platforms: Facebook, Twitter, Yelp, and Foursquare. All US hospitals were included that reported complete data for the Centers for Medicare and Medicaid Services Hospital Consumer Assessment of Healthcare Providers and Systems survey and the American Hospital Association Annual Survey. We reviewed hospital social media webpages to determine the extent of adoption relative to hospital characteristics, including geographic region, urban designation, bed size, ownership type, and teaching status. Social media utilization was estimated from user activity specific to each social media platform, including number of Facebook likes, Twitter followers, Foursquare check-ins, and Yelp reviews.ResultsAdoption of social media varied across hospitals with 94.41% (3351/3371) having a Facebook page and 50.82% (1713/3371) having a Twitter account. A majority of hospitals had a Yelp page (99.14%, 3342/3371) and almost all hospitals had check-ins on Foursquare (99.41%, 3351/3371). Large, urban, private nonprofit, and teaching hospitals were more likely to have higher utilization of these accounts.ConclusionsAlthough most hospitals adopted at least one social media platform, utilization of social media varied according to several hospital characteristics. This preliminary investigation of social media adoption and utilization among US hospitals provides the framework for future studies investigating the effect of social media on patient outcomes, including links between social media use and the quality of hospital care and services.

TECHNOLOGICAL IMPACT OF EMPLOYMENT WEB SITES IN CAUCASUS REGION

ABSTRACT This research conducts the web statistics of the employment web sites with the technological impact on the macroeconomics. The statistical information gathered from web-o-metrics of the Caucasus region job seeking web sites like the number of visitors, Facebook likes or shares, twitter messages about web site, number of back links counted by google, bing or Alexa. On the other hand, the macroeconomic and demographic facts like the population, unemployment rate, median age or migration rate. Keywords Unemployment, Job Market, Cross-Country Market, Data Mining, Time Series Analysis, Macro Economy, Demography

Use of facebook as a tool for knowledge dissemination in dermatology.

The presence of dermatology-related platforms in social media has been acknowledged; however, the level of engagement of the public with these platforms has not been evaluated. To use the Engagement Rate to assess the level of engagement of the public with Facebook pages devoted to dermatology. A search on Facebook identified Facebook pages for dermatology academic journals, professional societies, and patient-centered groups with the highest number of Facebook likes. Then the Yearly Page Engagement Rate was calculated for each Facebook page. The robust average of the Yearly Page Engagement Rate was 0.673 for academic journals, 0.313 for professional societies, and 1.563 for patient-centered groups. Patient-centered groups engaged with their fans most effectively. Engagement is a key determinant of a fan's exposure to the contents of the page and hence a gauge of whether the fans who "liked" the page continue to remain engaged or not.

Article-level metrics and what they tell us about the impact of PLOS publications

PLOS launched its Article-Level Metrics (ALMs) programme in 2009 as an alternative to the crude journal-level metrics that scientists have relied upon for so long to identify important research. ALMs allow readers to see how many views, downloads, citations and shares an individual paper has received, and thus to determine its impact on a field. Over the past year, the ALMs programme has been expanded to include social media information, such as Facebook likes and Tweets, and novel web tools such as Mendeley and Citeulike. Researchers are now using this information to examine the links between early activity indicators and long-term citation data, and to identify what tools best predict truly impactful research. In this session I will present the latest additions to PLOS's ALMs suite, and show some data on what these metrics tell us about the impact of papers published in PLOS journals.

Article-level metrics and what they tell us about the impact of PLOS publications

PLOS launched its Article-Level Metrics (ALMs) programme in 2009 as an alternative to the crude journal-level metrics that scientists have relied upon for so long to identify important research. ALMs allow readers to see how many views, downloads, citations and shares an individual paper has received, and thus to determine its impact on a field. Over the past year, the ALMs programme has been expanded to include social media information, such as Facebook likes and Tweets, and novel web tools such as Mendeley and Citeulike. Researchers are now using this information to examine the links between early activity indicators and long-term citation data, and to identify what tools best predict truly impactful research. In this session I will present the latest additions to PLOS's ALMs suite, and show some data on what these metrics tell us about the impact of papers published in PLOS journals.

From Facebook to WhatsApp

Social networks have witnessed phenomenal growth over the past decade, across the world. These networks have given a global platform to people—to connect and express. They have rewritten the laws of social communication and interaction; limitless expression, cross-border association, and free sharing of text, pictures and videos. Somewhere during the journey, the networking sites seem to have lost their charm and appeal. Inroads made by newer and more user-friendly applications like WhatsApp seem to have made matters worse. In addition, the failure of the site owners—at checking and curbing the misuse of users' profiles and personal data, and obscene/malicious misrepresentations of individuals—is leading to a state of ‘complete avoidance'. As a cumulative effect, social networking is fast losing steam, and if predictions and apprehensions are to be believed, in about five years' time, the likes of Facebook and Twitter would only be found in books of History. This study aims to analyze the changing ‘social networking scenario' in India, majorly focusing on the young population; the main subscribers. This research is based on the facts analyzed after a comprehensive survey conducted on a sample picked up from four Indian metro cities. It takes into account factors that have resulted in ‘interest loss among the youngsters.

Social Networking Sites

The use of social media by dermatology journals and professional and patient-centered dermatology organizations remains largely unknown and, to our knowledge, has yet to be fully evaluated. To evaluate and quantify the extent of involvement of dermatology journals, professional dermatology organizations, and dermatology-related patient advocate groups on social networking sites. We obtained an archived list of 102 current dermatology journals from SCImago on the World Wide Web and used the list to investigate Facebook, Twitter, and individual journal websites for the presence of social media accounts. We identified professional and patient-centered dermatology organization activity on social networks through queries of predetermined search terms on Google, Facebook, Twitter, and LinkedIn. The activity of each entity was documented by recording the following metrics of popularity: the numbers of Facebook "likes," Twitter "followers," and LinkedIn "members." The numbers of Facebook likes, Twitter followers, and LinkedIn members corresponding to each dermatology journal and each professional and patient-related dermatology organization. On July 17, 2012, of the 102 dermatology journals ranked by SCImago, 12.7% were present on Facebook and 13.7% on Twitter. We identified popular dermatology journals based on Facebook likes and Twitter followers, led by the Journal of the American Academy of Dermatology and Dermatology Times, respectively. Popular professional dermatology organizations included dermRounds Dermatology Network (11 251 likes on Facebook and 2900 followers on Twitter). The most popular dermatology patient-centered organizations were the Skin Cancer Foundation (20 119 likes on Facebook), DermaTalk (21 542 followers on Twitter), and the National Psoriasis Foundation (200 members on LinkedIn). Patient-centered and professional dermatology organizations use social networking sites; however, academic journals tend to lag behind significantly. Although some journals are active in social media, most have yet to recognize the potential benefits of fully embracing popular social networks.

The Semantics of Microposts

The call for this special issue on the Semantics of Microposts resulted from discussions initiated by the first Making Sense of Microposts workshop. The workshop was born out of the recognition of the invaluable knowledge contained in the vast, heterogeneous, distributed, continuously updating data store comprised of microposts – very small chunks of typically instantaneously published data, posted via social media and other communication channels that restrict publication unit size. Microposts continue to grow in popularity as a means of communication. This is despite, or maybe because of, the restrictions in post size (typically 140/160 characters – Twitter/SMS, and/or associated, small multi-media elements, e.g., short YouTube videos, Instagram photos, Pinterest pins, Foursquare check-ins, g+ chats, Facebook likes). Near permanent connectivity and the advent of inexpensive smartphones, and specialised apps and short codes for microblogging via even feature phones, has resulted in an explosion in the generation of microposts, as they make possible near real-time dissemination of news and events, both public and personal. Twitter, for instance, reported as at 2014, 78% of its active users tweeting from a phone.1 Facebook reported for Mar 2014, 609 million users active via a mobile device, out of a total of 802 million active daily.2

Usage Rates, Facebook Likes, and Online Piracy: Using Big Data to Manage Entertainment Products

The rapid digitization of the entertainment industry urges managers to find new ways to improve marketing effectiveness and combat online piracy. Smart devices and innovative online services generate brand-related tracking data that reflect consumers’ brand engagement (e.g., digital usage rates, Facebook Likes), yet managers are unaware of how to use these big data to improve brand performance. We therefore propose a model to assess how digitally tracked engagement behaviors, namely consumer brand usage (CBU, measured by digital usage rates) and consumer brand endorsement (CBE, measured by Facebook Likes), drive the impact of promotion and new product releases and affect the role of piracy. We apply our framework to the U.S. music industry, and develop web scrapers and API mining scripts to collect data for 569 music artists over 66 weeks. Both CBU and CBE enhance marketing effectiveness and positively mediate the sales impact of piracy, thereby offsetting piracy’s cannibalization effect by 55%. However, CBU exerts a systematically stronger influence in these relationships than CBE. Using simulations, we show how our findings can help managers to improve the allocation of their marketing efforts across brands and reduce the detrimental sales impact of piracy.

Racking up Facebook likes

Racking up Facebook likes

Private traits and attributes are predictable from digital records of human behavior

We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.

Eradicating World Poverty Requires More than Facebook Likes

What are the principles and practices that academic management programs need to educate Millennials on social responsibility and sustainability? What can universities do to instruct managers to solve complex ethical problems such as world poverty? The article suggests theoretical and practical insights for higher education management programs based on the principles and practices of developing socially responsible leaders. Through a review of The Principles of Responsible Management Education (PRME), the research invites academics and institutions to commit toward business ethics and poverty alleviation. The author suggests how the process of adopting the principles and developing appropriate educational opportunities in line with these principles provides a space for ethical education for current generations. Participating academic institutions enter into a network of scholars and programs acting as positive agents for world benefit. The current world challenges of poverty, ethics and sustainability require committed academic institutions and rooted in the principles and practices of social and global responsibility for the 21st century.

Nursery Management: Social media - Make the connection

Nursery WorldVol. 2012, No. 9 FeatureNursery Management: Social media - Make the connectionKaty MortonKaty MortonSearch for more papers by this authorKaty MortonPublished Online:4 Mar 2014https://doi.org/10.12968/nuwa.2012.10.9.1097275AboutSectionsView articleView Full TextView EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsPermissions ShareShare onFacebookTwitterLinked InEmail View articleAbstractThe likes of Twitter and Facebook are here to stay and the challenge now is how best to use them. Katy Morton hears how some enterprising nurseries are maximising their potential. FiguresReferencesRelatedDetailsCited byConstraining the false positive rate for Kepler planet candidates with multicolour photometry from the GTC12 September 2012 | Monthly Notices of the Royal Astronomical Society, Vol. 426, No. 1 1 September 2012Volume 2012Issue 9ISSN (print): 0029-6422ISSN (online): 2059-9358 Metrics History Published online 4 March 2014 Published in print 1 September 2012 Information© MA Education Ltd

The Filter Bubble: What the Internet is Hiding from You (review)

Reviewed by: The Filter Bubble: What the Internet is Hiding from You Fred Rowland The Filter Bubble: What the Internet is Hiding from You. Eli Pariser. New York: Penguin Press, 2011. 304p. $25.95 (ISBN 978-1-59420-300-8) The development of the World Wide Web inspired the kind of utopian dreaming that often accompanies technological revolutions. In the 1990s, it seemed to many pundits that a perfected democracy, unbridled freedom, and the end of authority were right around the corner. In his introduction to The Filter Bubble: What the [End Page 1009] Internet is Hiding from You, Eli Pariser, former executive director of MoveOn, recalls his own dreams: “To my preteen self, it seemed clear that the Internet was going to democratize the world, connecting us with better information and the power to act on it.” (p. 3) Nearly twenty years hence, Pariser is much more cautious about the promise of the Internet. In The Filter Bubble, he addresses a development that seems to be turning the promise of unfiltered access to information on its head. The filter bubble is Pariser’s term for the rapidly advancing wave of online personalization that serves to isolate individuals and groups in information bubbles. Led by the likes of Google, Amazon, and Facebook—but becoming fairly ubiquitous online—the filter bubble limits information access by personalizing search results, advertisements, and websites. Much of this personalization is done without the knowledge of users, who are unaware of how their personal information is being used and what kinds of online information they might be missing. In a TED Talk given around the time of the publication of The Filter Bubble, Pariser gave an illustration of how the filter bubble works. In the midst of the spring 2011 political protests in Egypt, he asked two friends to do a search in Google for “Egypt.” One got a lot of information on the protests (not surprisingly), while the other got information on tourism in Egypt. Instead of this search providing results based on some objective, universally valid criteria—like PageRank in Google’s early days—it was personalized to each user. Reflecting this search philosophy, Facebook founder Mark Zuckerberg has said that, ‘“A squirrel dying in front of your house may be more relevant to your interests right now than people dying in Africa.”’ (p. 1) People get different results from the same search, depending on what a search algorithm determines to be their individual interests and preferences. Perhaps touring the Nile and a dying squirrel might be more important to certain individuals at any one time than the fate of Africa. Is this the way we should organize Internet searching? Personalization is not new, and other people have written about its dangers, like Cass Sunstein in Republic.com (Princeton, N.J.: Princeton University Press, 2001). But The Filter Bubble is an up-to-date and particularly readable account that focuses on the pernicious influence of increasingly narrow information habitats on the life of democracy. For instance, what happens to civic life when there are no common sources of information like the newspapers and magazines of the mass media era? Democracy depends not only on an informed populace, but also on some common source of facts, arguments, and understanding. Without these, it is hard to communicate ideas and engage politically with fellow citizens. On the other hand, the benefits of personalization in terms of advertising revenue are clear. The more precisely web sites can target consumers based on individualized preferences, the more money they can charge for advertising. Think of all the different kinds of people that used to read daily newspapers, representing a socioeconomic, racial, and cultural mix that must have given advertisers fits. If you advertised fancy suits, much of your audience might be looking for casual clothes. If you advertised casinos in Atlantic City, you also paid to advertise to those looking for weekend camping trips. Online personalization allows advertisers to segment advertising markets in ways that were impossible during the days of mass media. Web sites can display personalized web pages and advertisements to each and every user. [End Page 1010] So will the Internet continue to follow the path of...