Wellbeing

New study suggests that Internet Gaming Disorder (IGD) may not, in itself, be robustly associated with important clinical outcomes.

There are active debates surrounding Internet Gaming Disorder (IGD), however, a new study suggests that it may not, in itself, be robustly associated with important clinical outcomes.

Internet-based video games are a ubiquitous form of recreation pursued by the majority of adults and young people. With sales eclipsing box office receipts, games are now an integral part of modern leisure. However, the American Psychiatric Association (APA) recently identified Internet Gaming Disorder (IGD) as a potential psychiatric condition and has called for research to investigate the potential disorder’s validity and its impacts on health and behaviour. Research responding to this call for a better understanding of IGD is still at a formative stage, and there are active debates surrounding it. There is a growing literature that suggests there is a basis to expect that excessive or problematic gaming may be related to lower health, though findings in this area are mixed. Some argue for a theoretical framing akin to a substance abuse disorder (i.e. where gaming is considered to be inherently addictive), while others frame Internet-based gaming as a self-regulatory challenge for individuals. In their article “A prospective study of the motivational and health dynamics of Internet Gaming Disorder”, Netta Weinstein, the OII’s Andrew Przybylski, and Kou Murayama address this gap in the literature by linking self-regulation and Internet Gaming Disorder research. Drawing on a representative sample of 5,777 American adults they examine how problematic gaming emerges from a state of individual “dysregulation” and how it predicts health—finding no evidence directly linking IGD to health over time. This negative finding indicates that IGD may not, in itself, be robustly associated with important clinical outcomes. As such, it may be premature to invest in management of IGD using the same kinds of approaches taken in response to substance-based addiction disorders. Further, the findings suggests that more high-quality evidence regarding clinical and behavioural effects is needed before concluding that IGD is a legitimate candidate for inclusion in future revisions of the Diagnostic and Statistical Manual of Mental Disorders. We caught up with Andy to explore the implications of the study:…

Why has platform capitalism come to dominate children’s relationship to the internet and why is this problematic?

Young people choose to use platforms for play, socialising and expressing their identity. Image by Brad Flickinger (Flickr: CC BY 2.0)

Two concepts have recently emerged that invite us to rethink the relationship between children and digital technology: the “datafied child” (Lupton & Williamson, 2017) and children’s digital rights (Livingstone & Third, 2017). The concept of the datafied child highlights the amount of data that is being harvested about children during their daily lives, and the children’s rights agenda includes a response to ethical and legal challenges the datafied child presents. Children have never been afforded the full sovereignty of adulthood (Cunningham, 2009) but both these concepts suggest children have become the points of application for new forms of power that have emerged from the digitisation of society. The most dominant form of this power is called “platform capitalism” (Srnicek, 2016). As a result of platform capitalism’s success, there has never been a stronger association between data, young people’s private lives, their relationships with friends and family, their life at school, and the broader political economy. In this post I will define platform capitalism, outline why it has come to dominate children’s relationship to the internet and suggest two reasons in particular why this is problematic. Children predominantly experience the Internet through platforms ‘At the most general level, platforms are digital infrastructures that enable two or more groups to interact. They therefore position themselves as intermediaries that bring together different users: customers, advertisers, service providers, producers, suppliers, and even physical objects’ (Srnicek 2016, p43). Examples of platforms capitalism include the technology superpowers – Google, Apple, Facebook, and Amazon. There are, however, many relevant instances of platforms that children and young people use. This includes platforms for socialising, platforms for audio-visual content, platforms that communicate with smart devices and toys, and platforms for games and sports franchises and platforms that provide services (including within in the public sector) that children or their parents use. Young people choose to use platforms for play, socialising and expressing their identity. Adults have also introduced platforms…

Sharing instructive primers for developers interested in creating technologies for those affected by gender-based violence.

Image by ijclark (Flickr CC BY 2.0).

Digital technologies are increasingly proposed as innovative solution to the problems and threats faced by vulnerable groups such as children, women, and LGBTQ people. However, there exists a structural lack of consideration for gender and power relations in the design of Internet technologies, as previously discussed by scholars in media and communication studies (Barocas & Nissenbaum, 2009; Boyd, 2001; Thakor, 2015) and technology studies (Balsamo, 2011; MacKenzie and Wajcman, 1999). But the intersection between gender-based violence and technology deserves greater attention. To this end, scholars from the Center for Information Technology at Princeton and the Oxford Internet Institute organised a workshop to explore the design ethics of gender-based violence and safety technologies at Princeton in the Spring of 2017. The workshop welcomed a wide range of advocates in areas of intimate partner violence and sex work; engineers, designers, developers, and academics working on IT ethics. The objectives of the day were threefold: (1) to better understand the lack of gender considerations in technology design, (2) to formulate critical questions for functional requirement discussions between advocates and developers of gender-based violence applications; and (3) to establish a set of criteria by which new applications can be assessed from a gender perspective. Following three conceptual takeaways from the workshop, we share instructive primers for developers interested in creating technologies for those affected by gender-based violence. Survivors, sex workers, and young people are intentional technology users Increasing public awareness of the prevalence gender-based violence, both on and offline, often frames survivors of gender-based violence, activists, and young people as vulnerable and helpless. Contrary to this representation, those affected by gender-based violence are intentional technology users, choosing to adopt or abandon tools as they see fit. For example, sexual assault victims strategically disclose their stories on specific social media platforms to mobilise collective action. Sex workers adopt locative technologies to make safety plans. Young people utilise secure search tools to find information about sexual health resources…

Interventions to address cyberbullying will only be effective if they also consider the dynamics of traditional forms of bullying.

Schools and parents play an important role in educating children about cyberbullying. Credit: Pasco County Schools (Flickr CC BY-NC 2.0).

Bullying is a major public health problem, with systematic reviews supporting an association between adolescent bullying and poor mental wellbeing outcomes. In their Lancet article “Cyberbullying and adolescent well-being in England: a population-based cross sectional study”, Andrew Przybylski and Lucy Bowes report the largest study to date on the prevalence of traditional and cyberbullying, based on a nationally representative sample of 120,115 adolescents in England. While nearly a third of the adolescent respondents reported experiencing significant bullying in the past few months, cyberbullying was much less common, with around five percent of respondents reporting recent significant experiences. Both traditional and cyberbullying were independently associated with lower mental well-being, but only the relation between traditional bullying and well-being was robust. This supports the view that cyberbullying is unlikely to provide a source for new victims, but rather presents an avenue for further victimisation of those already suffering from traditional forms of bullying. This stands in stark contrast to media reports and the popular perception that young people are now more likely to be victims of cyberbullying than traditional forms. The results also suggest that interventions to address cyberbullying will only be effective if they also consider the dynamics of traditional forms of bullying, supporting the urgent need for evidence-based interventions that target both forms of bullying in adolescence. That said, as social media and Internet connectivity become an increasingly intrinsic part of modern childhood, initiatives fostering resilience in online and every day contexts will be required. We caught up with Andy and Lucy to discuss their findings: Ed.: You say that given “the rise in the use of mobile and online technologies among young people, an up to date estimation of the current prevalence of cyberbullying in the UK is needed.” Having undertaken that—what are your initial thoughts on the results? Andy: I think a really compelling thing we learned in this project is that researchers and policymakers have to think…

In reality, social media can have both positive and negative outcomes.

Nothing like Instagram. cliplab.pro/Shutterstock

Letting your child use social media is like giving them cocaine, alcohol and cigarettes—all at once, or so we’re told. If you have been following recent press reports about the effects of social media on young people, you may well believe this. But there is no scientific evidence to support such extreme claims. An article in The Independent likening smartphone use to cocaine. The real story is far more complex. It is very difficult to predict how social media will affect any specific individual—the effect depends on things like their personality, type of social media use and social surroundings. In reality, social media can have both positive and negative outcomes. Media reports that compare social media to drug use are ignoring evidence of positive effects, while exaggerating and generalising the evidence of negative effects. This is scaremongering—and it does not promote healthy social media use. We would not liken giving children sweets to giving children drugs, even though having sweets for every meal could have serious health consequences. We should therefore not liken social media to drugs either. An article in The Conversation likening social media use to alcohol and drugs. For a claim to be proved scientifically it needs to be thoroughly tested. To fully confirm The Independent’s headline that: “Giving your child a smartphone is like giving them a gram of cocaine, says top addiction expert”, you would need to give children both a gram of cocaine and a smartphone and then compare the effects. Similarly, you would need to provide millennials with social media, drugs and alcohol to test The Conversation’s headline that: “Social media is as harmful as alcohol and drugs for millennials”. But ethical guidelines at universities were put in place so that such studies will never be done. The diversity of social media But maybe news headlines should be discounted—as exaggerations are often used to grab the readers’ attention. But even when ignoring these…

It’s time to refocus on our responsibilities to children before they are eclipsed by the commercial incentives that are driving digital developments.

“Whether your child is an artist, a storyteller, a singer or a scientist, I’m the lovable little friend that will bring that out!” says the FisherPrice Smart Bear.

Everyone of a certain age remembers logging-on to a noisy dial-up modem and surfing the Web via AOL or AltaVista. Back then, the distinction between offline and online made much more sense. Today, three trends are conspiring to firmly confine this distinction to history. These are the mass proliferation of Wi-Fi, the appification of the Web, and the rapid expansion of the Internet of (smart) Things. Combined they are engineering multi-layered information ecosystems that enmesh around children going about their every day lives. But it’s time to refocus on our responsibilities to children before they are eclipsed by the commercial incentives that are driving these developments. Three Trends 1. The proliferation of Wi-Fi means when children can use smart phones or tablets in variety of new contexts including on buses and trains, in hotels and restaurants, in school, libraries and health centre waiting rooms. 2. Research confirms apps on smart phones and tablets are now children’s primary gateway to the Web. This is the appification of the Web that Jonathon Zittrain predicted: the WeChat app, popular in China, is becoming its full realisation. 3. Simultaneously, the rapid expansion of the Internet of Things means everything is becoming ‘smart’ – phones, cars, toys, baby monitors, watches, toasters: we are even promised smart cities. Essentially, this means these devices have an IP address that allows to them receive, process, and transmit data on the Internet. Often these devices (including personal assistants like Alexa, game consoles and smart TVs) are picking up data produced by children. Marketing about smart toys tells us they are enhancing children’s play, augmenting children’s learning, incentivising children’s healthy habits and can even reclaim family time. Salient examples include Hello Barbie and Smart Toy Bear, which use voice and/or image recognition and connect to the cloud to analyse, process, and respond to children’s conversations and images. This sector is expanding to include app-enabled toys such as toy drones, cars, and droids (e.g. Star…

Automation may address these pressures in primary care, while also reconfiguring the work of staff roles and changing the patient-doctor relationship.

Image by TheeErin (Flickr CC BY-NC-ND 2.0), who writes: “Working on a national cancer research project. This is the usual volume of mail that comes in two-days time.”

In many sectors, automation is seen as a threat due to the potential for job losses. By contrast, automation is seen as an opportunity in healthcare, as a way to address pressures including staff shortages, increasing demand and workloads, reduced budget, skills shortages, and decreased consultation times. Automation may address these pressures in primary care, while also reconfiguring the work of staff roles and changing the patient-doctor relationship. In the interview below, Matt Willis discusses a project, funded by The Health Foundation, which looks at opportunities and challenges to automation in NHS England general practice services. While the main goal of the project is to classify work tasks and then calculate the probability that each task will be automated, Matt is currently conducting ethnographic fieldwork in primary care sites to understand the work practices of surgery staff and clinicians. Since the first automated pill counting machine was introduced in 1970 the role of the pharmacist has expanded to where they now perform more patient consultations, consult with primary care physicians, and require greater technical skill (including a Pharm.D degree). While this provides one clear way in which a medical profession has responded to automation, the research team is now looking at how automation will reconfigure other professions in primary care, and how it will shape its technical and digital infrastructures. We caught up with Matt Willis to explore the implications of automation in primary care. Ed.: One finding from an analysis by Frey and Osborne is that most healthcare occupations (that involve things like social intelligence, caring etc.) show a remarkably low probability for computerisation. But what sorts of things could be automated, despite that? Matt: While providing care is the most important work that happens in primary care, there are many tasks that support that care. Many of those tasks are highly structured and repetitive, ideal things we can automate. There is an incredible amount of what I call…

What happens when we turn our everyday experience—in particular, health and wellness-related experience—into data?

Benjamin Franklin used to keep charts of his time spent and virtues lived up to. Today, we use technology to self-track: our hours slept, steps taken, calories consumed, medications administered. But what happens when we turn our everyday experience—in particular, health and wellness-related experience—into data? “Self-Tracking” (MIT Press) by Gina Neff and Dawn Nafus examines how people record, analyse, and reflect on this data—looking at the tools they use and the communities they become part of, and offering an introduction to the essential ideas and key challenges of using these technologies. In considering self-tracking as a social and cultural phenomenon, they describe not only the use of data as a kind of mirror of the self but also how this enables people to connect to, and learn from, others. They also consider what’s at stake: who wants our data and why, the practices of serious self-tracking enthusiasts, the design of commercial self-tracking technology, and how people are turning to self-tracking to fill gaps in the healthcare system. None of us can lead an entirely untracked life today, but in their book, Gina and Dawn show us how to use our data in a way that empowers and educates us. We caught up with Gina to explore the self-tracking movement: Ed.: Over one hundred million wearable sensors were shipped last year to help us gather data about our lives. Is the trend and market for personal health-monitoring devices ever-increasing, or are we seeing saturation of the device market and the things people might conceivably want to (pay to) monitor about themselves? Gina: By focusing on direct-to-consumer wearables and mobile apps for health and wellness in the US we see a lot of tech developed with very little focus on impact or efficacy. I think to some extent we’ve hit the trough in the ‘hype’ cycle, where the initial excitement over digital self-tracking is giving way to the hard and serious work…

It seems that in psychology and communication, as in other fields of social science, much of what we think we know may be based on a tenuous empirical foundation.

“Psychology emergency” by atomicity (Flickr).

Concerns have been raised about the integrity of the empirical foundation of psychological science, such as low statistical power, publication bias (i.e. an aversion to reporting statistically nonsignificant or “null” results), poor availability of data, the rate of statistical reporting errors (meaning that the data may not support the conclusions), and the blurring of boundaries between exploratory work (which creates new theory or develops alternative explanations) and confirmatory work (which tests existing theory). It seems that in psychology and communication, as in other fields of social science, much of what we think we know may be based on a tenuous empirical foundation. However, a number of open science initiatives have been successful recently in raising awareness of the benefits of open science and encouraging public sharing of datasets. These are discussed by Malte Elson (Ruhr University Bochum) and the OII’s Andrew Przybylski in their special issue editorial: “The Science of Technology and Human Behavior: Standards, Old and New”, published in the Journal of Media Psychology. What makes this issue special is not the topic, but the scientific approach to hypothesis testing: the articles are explicitly confirmatory, that is, intended to test existing theory. All five studies are registered reports, meaning they were reviewed in two stages: first, the theoretical background, hypotheses, methods, and analysis plans of a study were peer-reviewed before the data were collected. The studies received an “in-principle” acceptance before the researchers proceeded to conduct them. The soundness of the analyses and discussion section were reviewed in a second step, and the publication decision was not contingent on the outcome of the study: i.e. there was no bias against reporting null results. The authors made all materials, data, and analysis scripts available on the Open Science Framework (OSF), and the papers were checked using the freely available R package statcheck (see also: www.statcheck.io). All additional (non-preregistered) analyses are explicitly labelled as exploratory. This makes it easier to see…

While the UK government has financed technological infrastructure and invested in schemes to address digital inequalities, the outcomes of these schemes are rarely uniformly positive or transformative for the people involved.

Outcomes of the many schemes financed by the government to address digital inequalities are rarely uniformly positive or transformative for the people involved. Image: iPad by Sean MacEntee (Flickr).

Numerous academic studies have highlighted the significant differences in the ways that young people access, use and engage with the Internet and the implications it has in their lives. While the majority of young people have some form of access to the Internet, for some their connections are sporadic, dependent on credit on their phones, an available library, or Wi-Fi open to the public. Qualitative data in a variety of countries has shown such limited forms of access can create difficulties for these young people as an Internet connection becomes essential for socialising, accessing public services, saving money, and learning at school. While the UK government has financed technological infrastructure and invested in schemes to address digital inequalities, the outcomes of these schemes are rarely uniformly positive or transformative for the people involved. This gap between expectation and reality demands theoretical attention; with more attention placed on the cultural, political and economic contexts of the digitally excluded, and the various attempts to “include” them. Focusing on a two-year digital inclusion scheme for 30 teenagers and their families initiated by a local council in England, a qualitative study by Huw C. Davies, Rebecca Eynon, and Sarah Wilkin analyses why, despite the good intentions of the scheme’s stakeholders, it fell short of its ambitions. It also explains how the neoliberal systems of governance that are increasingly shaping the cultures and behaviours of Internet service providers and schools—that incentivise action that is counterproductive to addressing digital inequality and practices—cannot solve the problems they create. We caught up with the authors to discuss the study’s findings: Ed.: It was estimated that around 10% of 13 year olds in the study area lacked dependable access to the Internet, and had no laptop or PC at home. How does this impact educational outcomes? Huw: It’s impossible to disaggregate technology from everything else that can affect a young person’s progress through school. However, one school in our…