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Quantifying and contextualizing the impact of bioRxiv preprints through automated social media audience segmentation
Engagement with scientific manuscripts is frequently facilitated by Twitter and other social media platforms. As such, the demographics of a paper's social media audience provide a wealth of information about how scholarly research is transmitted, consumed, and interpreted by online communities. By paying attention to public perceptions of their publications, scientists can learn whether their research is stimulating positive scholarly and public thought. They can also become aware of potentially negative patterns of interest from groups that misinterpret their work in harmful ways, either willfully or unintentionally, and devise strategies for altering their messaging to mitigate these impacts. In this study, we collected 331,696 Twitter posts referencing 1,800 highly tweeted bioRxiv preprints and leveraged topic modeling to infer the characteristics of various communities engaging with each preprint on Twitter. We agnostically learned the characteristics of these audience sectors from keywords each user's followers provide in their Twitter biographies. We estimate that 96% of the preprints analyzed are dominated by academic audiences on Twitter, suggesting that social media attention does not always correspond to greater public exposure. We further demonstrate how our audience segmentation method can quantify the level of interest from nonspecialist audience sectors such as mental health advocates, dog lovers, video game developers, vegans, bitcoin investors, conspiracy theorists, journalists, religious groups, and political constituencies. Surprisingly, we also found that 10% of the preprints analyzed have sizable (>5%) audience sectors that are associated with right-wing white nationalist communities. Although none of these preprints appear to intentionally espouse any right-wing extremist messages, cases exist in which extremist appropriation comprises more than 50% of the tweets referencing a given preprint. These results present unique opportunities for improving and contextualizing the public discourse surrounding scientific research.
Journal Article
A Systematic Review of the Impact of Adherence on the Effectiveness of e-Therapies
As the popularity of e-therapies grows, so too has the body of literature supporting their effectiveness. However, these interventions are often plagued by high attrition rates and varying levels of user adherence. Understanding the role of adherence may be crucial to understanding how program usage influences the effectiveness of e-therapy interventions.
The aim of this study was to systematically review the e-therapy literature to (1) describe the methods used to assess adherence and (2) evaluate the association of adherence with outcome of these interventions.
A systematic review of e-therapy interventions was conducted across disease states and behavioral targets. Data were collected on adherence measures, outcomes, and analyses exploring the relationship between adherence measures and outcomes.
Of 69 studies that reported an adherence measure, only 33 (48%) examined the relationship between adherence and outcomes. The number of logins was the most commonly reported measure of adherence, followed by the number of modules completed. The heterogeneity of adherence and outcome measures limited analysis. However, logins appeared to be the measure of adherence most consistently related to outcomes in physical health interventions, while module completion was found to be most related to outcomes in psychological health interventions.
There is large variation in the reporting of adherence and the association of adherence with outcomes. A lack of agreement about how best to measure adherence is likely to contribute to the variation in findings. Physical and psychological outcomes seem influenced by different types of adherence. A composite measure encompassing time online, activity completion, and active engagements with the intervention may be the best measure of adherence. Further research is required to establish a consensus for measuring adherence and to understand the role of adherence in influencing outcomes.
Journal Article
Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public.
This paper quantifies the production and consumption of Wikipedia's medical content along 4 dimensions. First, we measured the amount of medical content in both articles and bytes and, second, the citations that supported that content. Third, we analyzed the medical readership against that of other health care websites between Wikipedia's natural language editions and its relationship with disease prevalence. Fourth, we surveyed the quantity/characteristics of Wikipedia's medical contributors, including year-over-year participation trends and editor demographics.
Using a well-defined categorization infrastructure, we identified medically pertinent English-language Wikipedia articles and links to their foreign language equivalents. With these, Wikipedia can be queried to produce metadata and full texts for entire article histories. Wikipedia also makes available hourly reports that aggregate reader traffic at per-article granularity. An online survey was used to determine the background of contributors. Standard mining and visualization techniques (eg, aggregation queries, cumulative distribution functions, and/or correlation metrics) were applied to each of these datasets. Analysis focused on year-end 2013, but historical data permitted some longitudinal analysis.
Wikipedia's medical content (at the end of 2013) was made up of more than 155,000 articles and 1 billion bytes of text across more than 255 languages. This content was supported by more than 950,000 references. Content was viewed more than 4.88 billion times in 2013. This makes it one of if not the most viewed medical resource(s) globally. The core editor community numbered less than 300 and declined over the past 5 years. The members of this community were half health care providers and 85.5% (100/117) had a university education.
Although Wikipedia has a considerable volume of multilingual medical content that is extensively read and well-referenced, the core group of editors that contribute and maintain that content is small and shrinking in size.
Journal Article
Global governance facing structural changes : new institutional trajectories for digital and transnational capitalism
\"Contemporary global governance is a field of competing institutional schemes and system of rules. We are at the juncture between old and new, not knowing how to read facts or how to explain processes-in-the-making. Yet, it is more important than ever to analyze new institutional trajectories and the emergence of new institutions to understand their interaction and how they can help renew collective action in a brand new world of global digital capitalism. International political economy and International relations theories have struggled to explain institutional changes as it concentrated on explaining international cooperation and order. This book contrasts international regimes and global governance and present a historically based explanation of the shift from one to the other, while addressing significant case studies looking at telecommunications and the Internet, labor and culture as well as the new schemes addressing trade dispute resolution. In addition, it analyzes the interaction between remaining forms of international regimes and new institutional frameworks, with a particular look at the impact of new technologies on these emerging forms of governance. \"-- Provided by publisher.
Book
Therapist-delivered internet psychotherapy for depression in primary care: a randomised controlled trial
Despite strong evidence for its effectiveness, cognitive-behavioural therapy (CBT) remains difficult to access. Computerised programs have been developed to improve accessibility, but whether these interventions are responsive to individual needs is unknown. We investigated the effectiveness of CBT delivered online in real time by a therapist for patients with depression in primary care.
In this multicentre, randomised controlled trial, 297 individuals with a score of 14 or more on the Beck depression inventory (BDI) and a confirmed diagnosis of depression were recruited from 55 general practices in Bristol, London, and Warwickshire, UK. Participants were randomly assigned, by a computer-generated code, to online CBT in addition to usual care (intervention; n=149) or to usual care from their general practitioner while on an 8-month waiting list for online CBT (control; n=148). Participants, researchers involved in recruitment, and therapists were masked in advance to allocation. The primary outcome was recovery from depression (BDI score <10) at 4 months. Analysis was by intention to treat. This trial is registered, number ISRCTN 45444578.
113 participants in the intervention group and 97 in the control group completed 4-month follow-up. 43 (38%) patients recovered from depression (BDI score <10) in the intervention group versus 23 (24%) in the control group at 4 months (odds ratio 2·39, 95% CI 1·23–4·67; p=0·011), and 46 (42%) versus 26 (26%) at 8 months (2·07, 1·11–3·87; p=0·023).
CBT seems to be effective when delivered online in real time by a therapist, with benefits maintained over 8 months. This method of delivery could broaden access to CBT.
BUPA Foundation.
Journal Article
Information wars : how we lost the global battle against disinformation & what we can do about it
\"In February of 2013, Richard Stengel, the former editor-in-chief of Time, joined the Obama administration as Under Secretary of State for Public Diplomacy and Public Affairs. Within days, two shocking events made world-wide headlines: ISIS executed American journalist James Foley on a graphic video seen by tens of millions, and Vladimir Putin's \"little green men\"-Russian special forces-invaded Crimea, amid a blizzard of Russian denials and false flags. What these events had in common besides their violent law-lessness is that they were the opening salvos in a new era of global information war, where countries and non-state actors use social media and disinformation to create their own narratives and undermine anyone who opposes them. Stengel was thrust onto the front lines of this battle as he was tasked with responding to the relentless weaponizing of information and grievance by ISIS, Russia, China, and others. He saw the scale of what he was up against and found himself hopelessly outgunned. Then, in 2016, the wars Stengel was fighting abroad came home during the presidential election, as \"fake news\" became a rallying cry and the Russians used the techniques they learned in Ukraine to influence the election here. Rarely has an accomplished journalist been not only a close observer but also a principal participant in the debates and decisions of American foreign policy. Stengel takes you behind the scenes in the ritualized world of diplomacy, from the daily 8:30 morning huddle with a restless John Kerry to a midnight sit-down in Saudi Arabia with the prince of darkness Mohammed bin Salman. The result is a rich account of a losing battle against trolls and bots-who are every bit as insidious as their names imply.\"-- Provided by publisher.
Book
Persuasive Features in Web-Based Alcohol and Smoking Interventions: A Systematic Review of the Literature
In the past decade, the use of technologies to persuade, motivate, and activate individuals' health behavior change has been a quickly expanding field of research. The use of the Web for delivering interventions has been especially relevant. Current research tends to reveal little about the persuasive features and mechanisms embedded in Web-based interventions targeting health behavior change.
The purpose of this systematic review was to extract and analyze persuasive system features in Web-based interventions for substance use by applying the persuasive systems design (PSD) model. In more detail, the main objective was to provide an overview of the persuasive features within current Web-based interventions for substance use.
We conducted electronic literature searches in various databases to identify randomized controlled trials of Web-based interventions for substance use published January 1, 2004, through December 31, 2009, in English. We extracted and analyzed persuasive system features of the included Web-based interventions using interpretive categorization.
The primary task support components were utilized and reported relatively widely in the reviewed studies. Reduction, self-monitoring, simulation, and personalization seem to be the most used features to support accomplishing user's primary task. This is an encouraging finding since reduction and self-monitoring can be considered key elements for supporting users to carry out their primary tasks. The utilization of tailoring was at a surprisingly low level. The lack of tailoring may imply that the interventions are targeted for too broad an audience. Leveraging reminders was the most common way to enhance the user-system dialogue. Credibility issues are crucial in website engagement as users will bind with sites they perceive credible and navigate away from those they do not find credible. Based on the textual descriptions of the interventions, we cautiously suggest that most of them were credible. The prevalence of social support in the reviewed interventions was encouraging.
Understanding the persuasive elements of systems supporting behavior change is important. This may help users to engage and keep motivated in their endeavors. Further research is needed to increase our understanding of how and under what conditions specific persuasive features (either in isolation or collectively) lead to positive health outcomes in Web-based health behavior change interventions across diverse health contexts and populations.
Journal Article