The Emerging Role of Social Media in Urology

Social media have become so integrated into modern communications as to be universal in our personal and, increasingly, professional lives. Recent examples of social media uptake in urology, and the emergence of data to quantify it, reveal the expansion of conventional communication routes beyond the in-person forum. In every domain of urologic practice, from patient interaction through research to continuing professional development, the move online has unlocked another layer of conversation, dissemination, and, indeed, caveats. Social media have a democratizing effect, placing patients, trainees, practitioners, and thought leaders in the same arena and on equal footing. If uptake of social media in medicine even remotely parallels its rise to ubiquity in other areas, it will only expand and evolve in the coming years. For these reasons, this article presents an overview of the most recent data on the impact and potential complications of social media usage in the urologic community.Key words: Social media, Urologic practice, Education, Continuing professional development, Research publication and impactInterprofessional communication and continuing professional development of and by physicians have typically involved face-to face and in-person interaction, in meeting rooms or lecture halls. Dissemination of research findings has occurred through publication in print (and, more recently, online) journals, sifting through the editorial process and with limited potential for interaction; replies and queries regarding a study typically appear months after its initial publication. Citation in subsequent research papers is the foundation of measurement of a journal’s impact.Social media may be broadly defined as those Internet-based sites and services that are primarily conversational in nature. Users post information or opinion, and other users, either through curated access lists or public profiles, are able to comment on or share the original post. The standard bearers in the last several years have been services such as Facebook, boasting over 1 billion active users, and Twitter, with well over 200 million active users.^1,2 Despite having, in large part, existed for less than a decade, these and many other services have become ubiquitous in personal and public life. In professional settings, however, uptake has been relatively guarded.^3,4 Recent examples of social media uptake in urology, and the emergence of data to support it, reveal the expansion of conventional communication routes beyond the in-person forum. Journal clubs have emerged with international participation, and the use of Twitter at medical meetings has added a conversational element and dissemination potential that had not previously existed. Publication of research and measurement of its impact are also in evolution, with potential for rapid propagation of research findings and impact metrics at the article level. Concerns have emerged in step with these innovations, such as consternation about patient (and physician) privacy and boundaries, as well as risks of posting words or images that may be, or are perceived to be, unprofessional.     

The Mass Media and Their Role in Social Life

The last several decades of the 20th century have been marked by the significant development of mass communications — the propagation of information (knowledge, spiritual values, moral and legal norms, etc.) by technological media (the press, radio, movies, television) to numerically large and spatially dispersed audiences. Within the life span of a single generation, this process has come, by one means or another, to encompass the entire globe. The technological media for the spread of information have penetrated into places where for centuries the only source of information about the world beyond the confines of the patriarchal community had been the spoken word. This penetration, aided by the spread of literacy, has brought about far-reaching changes in people's consciousness and in their attitudes toward objective facts and toward themselves. These changes have created the preconditions for drawing into political life and struggle masses of new people who had formerly lived in conformity to only the interests of their own economically closed and culturally isolated little worlds. The political and ideological cleavages of today's world have caused these preconditions to bear real fruit.     

Social Media Fingerprints of Unemployment

Recent widespread adoption of electronic and pervasive technologies has enabled the study of human behavior at an unprecedented level, uncovering universal patterns underlying human activity, mobility, and interpersonal communication. In the present work, we investigate whether deviations from these universal patterns may reveal information about the socio-economical status of geographical regions. We quantify the extent to which deviations in diurnal rhythm, mobility patterns, and communication styles across regions relate to their unemployment incidence. For this we examine a country-scale publicly articulated social media dataset, where we quantify individual behavioral features from over 19 million geo-located messages distributed among more than 340 different Spanish economic regions, inferred by computing communities of cohesive mobility fluxes. We find that regions exhibiting more diverse mobility fluxes, earlier diurnal rhythms, and more correct grammatical styles display lower unemployment rates. As a result, we provide a simple model able to produce accurate, easily interpretable reconstruction of regional unemployment incidence from their social-media digital fingerprints alone. Our results show that cost-effective economical indicators can be built based on publicly-available social media datasets.     

Measuring Emotional Contagion in Social Media

Social media are used as main discussion channels by millions of individuals every day. The content individuals produce in daily social-media-based micro-communications, and the emotions therein expressed, may impact the emotional states of others. A recent experiment performed on Facebook hypothesized that emotions spread online, even in absence of non-verbal cues typical of in-person interactions, and that individuals are more likely to adopt positive or negative emotions if these are over-expressed in their social network. Experiments of this type, however, raise ethical concerns, as they require massive-scale content manipulation with unknown consequences for the individuals therein involved. Here, we study the dynamics of emotional contagion using a random sample of Twitter users, whose activity (and the stimuli they were exposed to) was observed during a week of September 2014. Rather than manipulating content, we devise a null model that discounts some confounding factors (including the effect of emotional contagion). We measure the emotional valence of content the users are exposed to before posting their own tweets. We determine that on average a negative post follows an over-exposure to 4.34% more negative content than baseline, while positive posts occur after an average over-exposure to 4.50% more positive contents. We highlight the presence of a linear relationship between the average emotional valence of the stimuli users are exposed to, and that of the responses they produce. We also identify two different classes of individuals: highly and scarcely susceptible to emotional contagion. Highly susceptible users are significantly less inclined to adopt negative emotions than the scarcely susceptible ones, but equally likely to adopt positive emotions. In general, the likelihood of adopting positive emotions is much greater than that of negative emotions.     

Predictability of Extreme Events in Social Media

It is part of our daily social-media experience that seemingly ordinary items (videos, news, publications, etc.) unexpectedly gain an enormous amount of attention. Here we investigate how unexpected these extreme events are. We propose a method that, given some information on the items, quantifies the predictability of events, i.e., the potential of identifying in advance the most successful items. Applying this method to different data, ranging from views in YouTube videos to posts in Usenet discussion groups, we invariantly find that the predictability increases for the most extreme events. This indicates that, despite the inherently stochastic collective dynamics of users, efficient prediction is possible for the most successful items.     

Exploring Entrainment Patterns of Human Emotion in Social Media

Emotion entrainment, which is generally defined as the synchronous convergence of human emotions, performs many important social functions. However, what the specific mechanisms of emotion entrainment are beyond in-person interactions, and how human emotions evolve under different entrainment patterns in large-scale social communities, are still unknown. In this paper, we aim to examine the massive emotion entrainment patterns and understand the underlying mechanisms in the context of social media. As modeling emotion dynamics on a large scale is often challenging, we elaborate a pragmatic framework to characterize and quantify the entrainment phenomenon. By applying this framework on the datasets from two large-scale social media platforms, we find that the emotions of online users entrain through social networks. We further uncover that online users often form their relations via dual entrainment, while maintain it through single entrainment. Remarkably, the emotions of online users are more convergent in nonreciprocal entrainment. Building on these findings, we develop an entrainment augmented model for emotion prediction. Experimental results suggest that entrainment patterns inform emotion proximity in dyads, and encoding their associations promotes emotion prediction. This work can further help us to understand the underlying dynamic process of large-scale online interactions and make more reasonable decisions regarding emergency situations, epidemic diseases, and political campaigns in cyberspace.     

Discovering Health Topics in Social Media Using Topic Models

By aggregating self-reported health statuses across millions of users, we seek to characterize the variety of health information discussed in Twitter. We describe a topic modeling framework for discovering health topics in Twitter, a social media website. This is an exploratory approach with the goal of understanding what health topics are commonly discussed in social media. This paper describes in detail a statistical topic model created for this purpose, the Ailment Topic Aspect Model (ATAM), as well as our system for filtering general Twitter data based on health keywords and supervised classification. We show how ATAM and other topic models can automatically infer health topics in 144 million Twitter messages from 2011 to 2013. ATAM discovered 13 coherent clusters of Twitter messages, some of which correlate with seasonal influenza (r = 0.689) and allergies (r = 0.810) temporal surveillance data, as well as exercise (r = .534) and obesity (r = −.631) related geographic survey data in the United States. These results demonstrate that it is possible to automatically discover topics that attain statistically significant correlations with ground truth data, despite using minimal human supervision and no historical data to train the model, in contrast to prior work. Additionally, these results demonstrate that a single general-purpose model can identify many different health topics in social media.     

The EvoS Consortium: Catalyzing Evolutionary Training in Higher Education

EvoS is a consortium of evolutionary studies programs that can catalyze evolutionary training across the curriculum in higher education. This special issue of Evolution: Education and Outreach shows how the dictum “Nothing in biology makes sense except in the light of evolution” can be achieved within the biological sciences and expanded to include all human-related subjects, both for undergraduate education and faculty interactions, fulfilling the ideal of a liberal arts education and turning the university into a single intellectual community.     

The Campus Tour: Ritual and Community in Higher Education

This study examines the messages that a university transmits to prospective students during a particular ritual—the campus tour. Specifically, the article discusses the ways that members of a university communicate their expectations with respect to becoming contributing members of the academic community. Three community discourses serve as the theoretical foundation for the analysis. The conclusion discusses ways that rituals could be examined and modified to create multicultural and democratic communities.     

The Role of State Departments of Education in Complex School Reform.

The Role of State Departments of Education in Complex School Reform. Susan Lusi. New York: Teachers College Press, 1997. 217 pp.