Categories
COVID-19

What Behavioural Science Can Teach Us About Vaccine Hesitancy

Biologists, virologists, and pharmaceutical companies have played an invaluable role in stemming the devastation caused by the COVID-19 pandemic via a concerted global effort of rapid vaccine development, the speed and scale of which has been unprecedented in human history. However, while the biological sciences have played their role in producing the tools necessary to end the pandemic, the process of convincing others to use the tools now at our disposal (i.e. ensuring high levels of vaccine uptake) falls squarely on the shoulders of practitioners within the social sciences. On June 1st, the Cambridge University Behavioural Insights Team (CUBIT) hosted an event called Thinking Fast and Slow about Vaccine Hesitancy. The panel, moderated by Dr. Lee de-Wit, featured six individuals – each leaders in their respective fields – providing perspectives on how individuals, groups, and societies may leverage insights gleaned from behavioural science as a means of assuaging vaccine hesitancy, improving public comprehension of vaccine benefits, and catalyzing collective action in light of the ongoing COVID-19 pandemic.

Nicole Basta led off with a discussion on whether the benefits of herd immunity may motivate those unwilling to be vaccinated. While the notion of herd immunity has been a popular topic within the public discourse throughout the pandemic, experts are quick to point out that it is also widely misunderstood. Communicable disease epidemiologist Paul Fine notes that even within the academic fields dedicated to investigating the phenomenon, it can be challenging to find consensus on how precisely the term should be defined (McDermott, 2021). Fine suggests a non-controversial framing might be “the proportion of people [in a given area] that need to be immune for the rate of new infections to decline.” In order to forward the case for an understanding of herd immunity potentially being leveraged as a motivator for the unvaccinated, Basta first shared findings from a 2018 study concerning willingness to get the flu vaccine (Logan et. al., 2018). The research found that not only were adults with a better understanding of herd immunity more willing to get vaccinated, but that a short intervention aimed at teaching participants about herd immunity could significantly increase the willingness of those previously unaware of or unfamiliar with the phenomenon to get vaccinated. Basta concluded by pointing to recent evidence she and her team have uncovered showing that sentiments such as “protecting loved ones” and “contributing to ending COVID-19 outbreaks” are both strong predictors of getting vaccinated, suggesting that herd immunity interventions similar to the one utilized in the flu vaccine study might be able to tap into these prosocial motivations and catalyze greater vaccine uptake.

gateio followed with a discussion on the perils of “myth-busting,” or attempting to combat false or misleading information by referencing the incorrect information prior to making attempts to refute it. While this is a common (and perhaps even intuitive) tactic, Nicolson warns that it often has unintended consequences. Namely, this approach has been found capable of exacerbating the myth’s impact via three primary mechanisms:

  1. The unintentional proliferation of the myth: When you bring up, for instance, a conspiracy theory in order to debunk it, you may accidentally expose people to the theory who otherwise may have never come upon it. Some might come to be intrigued by the theory following exposure, and ultimately may come to accept it.
  2. Perpetuating a “two sides” falsehood: By pitting a myth and facts against each other, you may inadvertently signal to others that there are actually two sides of the argument, each of which warrants consideration.
  3. Challenging worldviews: Myth-busting is, by definition, telling others why something is wrong. If an individual’s belief in such false information is closely tied to their worldview, attempting to disprove it may cause them to fight back, thus shielding themselves from having to accept identity-threatening information.

Nicolson suggests that one of the best alternatives to myth-busting is to simply repeat the true information, thereby increasing public familiarity with the facts while avoiding any accidental broadcast (and potential popularization) of falsehoods.

Stephan Lewandowsky joined to discuss what he termed the COVID-19 “infodemic.” He began with a brief history lesson about the tight linkage between health crises and conspiracy theories, noting that back in 1892, frenzied crowds in Russia – convinced that doctors had spread cholera – chased anyone wearing a white coat through the streets. While conspiracy theories are an especially pernicious subcategory of misinformation, Lewandowsky argues that any type of misinformation should be treated as potentially hazardous, pointing specifically to a 2020 study undertaken by Simonov and colleagues which showed that watching Fox News caused people to reduce compliance with social distancing mandates. While Lewandowsky, the lead author on a number of handbooks designed to assist practitioners in effective communication and conspiracy debunking, shared several useful tips in combating misinformation, he made special efforts to highlight a tactic known as inoculation. Similar to how inoculation in the medical context refers to administering a weakened strain of a virus, providing the body with an opportunity to prepare its’ defenses should it ever be confronted with a full-strength strain, psychological inoculation refers to preemptively exposing an individual to a variation of an argument (e.g. one relying on or forwarding misinformation) and then teaching them why such an argument is flawed. In essence, inoculation readies individuals for misinformation “attacks,” and shows them how to “defend” themselves against them.

John Kerr’s discussion focused on the most effective ways to communicate COVID-19 risks. He led off with a warning about comparing COVID-19 risks to extremely rare events such as being struck by lightning – a strategy he referred to as “pulling from the big book of tiny risks.” Although this is a popular approach, Kerr cautioned that just because risks are equally likely does not mean they are weighed or interpreted in the same manner. Instead, Kerr suggested that vaccine risks should be placed in the context of vaccine benefits, with an eye towards identifying risks and benefits that “feel similar” in terms of their impact. Putting the theory into practice, Kerr and his colleagues at the Winton Centre assisted the UK government in disseminating the benefits and harms of receiving the Astra-Zeneca vaccine. Responding to salient public fears about vaccine-induced blood clots, Kerr and his team juxtaposed the risk of experiencing such a side effect with what they deemed to be an equivalent benefit: ICU admissions due to COVID-related complications prevented. The final product of the team’s work, a visual representation of the corresponding risks and benefits of receiving the Astra-Zeneca vaccine for various age groups (seen below), proved not only to be easily comprehensible by the wider public, but also an intuitively appealing way to conceptualize the risk-benefit tradeoff, as evidenced by how many news outlets ended up utilizing the graphic.

If Kerr’s discussion could be summarized as how we should communicate COVID-19 risks, Michael B. Petersen’s could be thought of as its natural complement: how we should not communicate COVID-19 risks. Petersen began his presentation with a warning about what he referred to as vague reassurances, or generic statements designed to assuage one’s doubts or fears (e.g. “don’t worry, it’ll be fine”). While Petersen acknowledges that bad news concerning vaccine safety or efficacy is bound to engender negative reactions from the public, he argues that attempting to dismiss or downplay unflattering facts with vague reassurances may be an even more disastrous long-term strategy. Petersen cites prior research demonstrating how vague communication can elicit feelings of uncertainty (Hanganu & Popa, 1977) before revealing one of the key variables identified to be a trigger of vaccine skepticism: uncertainty (Marchlewska et al. 2018; Prooijen & Jostmann, 2013). To bolster his argument, Petersen shared data from an in-press publication which investigated the effects of “transparent negative communication” versus “vague reassuring communication” on vaccine acceptance, conspiracy beliefs, and trust in health authorities. The findings showed that while both transparent negative communication and vague reassuring communication decreased vaccine acceptance among participants, vague reassuring communication lead to an increase in conspiratorial thinking (whereas transparent negative communication had no effect), and, perhaps most importantly, where vague reassuring communication decreased trust in health authorities, transparent negative communication increased trust. Petersen argues that if we are to maintain a long-term view of public health, the opposing impacts of the two communication styles on trust in health authorities is of the utmost importance, for if trust is compromised, “you have lost the possibility of reaching your audience.” Petersen concluded by suggesting that while the honest presentation of (unflattering) data may sometimes result in “lost battles,” the manner in which such communication preserves public trust will make societies more receptive to the advice of healthcare professionals during future crises, putting scientists in a better position to win the proverbial war.

Finally, the panel concluded with a talk by Patricia Andrews Fearon on the link between zero-sum mindsets and vaccine hesitancy. Andrews Fearon started with a summary of one of the ways in which researchers commonly measure trust: as a byproduct of assessments of warmth and competence (the two components of the Stereotype Content Model developed by Susan Fiske, Amy Cuddy, and colleagues). However, Andrews Fearon is quick to point out that such context-independent judgments of trust can quickly shift when one is provided with a compelling context. For example, Andrews Fearon contends that regardless of your evaluation of how much you can trust an individual named Dave in the abstract, such an evaluation is likely to change dramatically if you’re suddenly thrust into a Gladiator-style arena across from Dave (“now how much can you trust him?” mused Andrews Fearon). The point being that regardless of how warm or competent Dave might be judged to be as an individual in a vacuum, in a zero-sum situation like a fight to the death – where for one to win, the other must necessarily lose – even the otherwise trustworthy can no longer be trusted. Andrews Fearon proceeded to explain that individuals who possess zero-sum mindsets, or a tendency to believe that life is mostly a series of zero-sum games, are likely to perceive ambiguous situations as more hostile than their non-zero-sum counterparts, and continued on to discuss the role that zero-sum mindsets have on vaccine hesitancy. The crux of her findings, derived from a large, multi-national sample, indicated that zero-sum mindsets are stronger predictors of vaccine hesitancy than even more widely-cited variables such as level of education.

The event was replete with novel perspectives, rich discussions, and actionable insights on addressing what is arguably one of the greatest collective challenges the world has encountered in centuries. Some of the key takeaways included:

  • Being cautious not to resort to “myth-busting” under conditions when the attempt to do so might actually promote the myth and counter-productive behavior.
  • Considering inoculation tactics as a means of preparing our “psychological immune systems” for the presence of bad arguments in the same way we prepare our physical immune system for the presence of harmful strains of virus.
  • Avoiding vague reassurances and instead opting to maintain transparency – even with unflattering data – as a way to preserve long-term public trust.

While behavioural scientists acknowledge that there is no magic potion when it comes to human behavior – no simple fix or perfect solution destined for success regardless of individual proclivity or contextual idiosyncrasy – the lessons shared permit us an opportunity to bolster our understanding of the challenges that face us as well as the solutions available to us. With any luck, these additions to our behavioural science repertoire can be used to improve outcomes for future generations, particularly during the emergence of new public health crises.

Categories
Polarisation

The Psychology of Polarisation in Contemporary Politics

CUBIT’s Michaelmas 2020 seminar series, chaired by Dr Leor Zmigrod, explored political polarisation, a topic of academic discussion which has increasingly seeped into mainstream discussions of current affairs in recent years. So what is polarisation? At its core, political polarisation is a state of affairs where society is divided into two (or more) immiscible groups, each supporting political ideas the other regards as extreme, each holding hateful stereotypes of the other, and each embracing divergent versions of reality. Political groups in highly-polarised societies see each other, and each other’s ideas, as verboten, malign influences to be excluded and defeated, rather than constructive contributions to public debate. Unsurprisingly, polarisation has abysmal consequences for the societies it afflicts. Take Barack Obama’s summary of polarisation in contemporary America: “a fundamental contest between two opposing visions of what America is and what it should be; a crisis that has left the body politic divided, angry, and mistrustful, and has allowed for an ongoing breach of institutional norms, procedural safeguards, and the adherence to basic facts” (xv, A Promised Land).

Polarisation goes beyond people merely disagreeing about political issues, which is a natural consequence of liberal democracy. Rather, polarisation undermines democracy’s foundations. Ideally, democracy works something like a market, with politicians competing for citizens’ votes by proposing good ideas, ensuring that, over time, good ideas are rewarded and implemented, whereas bad ideas are rejected. But polarisation smothers this competition, as it leads people to vote for bad ideas simply because they are their side’s ideas, and, perhaps even more so, to reject good ideas just because they are the other’s.

So why is polarisation a matter for psychologists to study? When psychologists study polarisation, there is a tacit assumption that some features of human psychology make political disagreements even worse than they need otherwise be, even taking into account the very real and valid disagreements that political groups may have with one another about what is right, good, and moral. Psychologists do not contend that these differences exist only in people’s heads. Rather, we posit that the fundamentals of how people think about social groups amplify enmity and distrust. We suggest that how people think about political and moral issues can entrench division. Further, we hope that psychology can help with depolarisation – that if we can identify the aspects of human psychology that push us towards polarisation, we can use this knowledge to design interventions and redesign institutions to act as buffers against those forces.

So what can the abundance of research on polarisation tell us about how we polarise, and how we might depolarise? CUBIT’s though-provoking Michaelmas 2020 series offered some answers to these important questions, and raised yet more mysteries for researchers and policy-makers to wrestle with. The series consisted of four talks – from Dr Jeff Lees, Dr William Brady, Dr Andres Casas, and the trio of Ali Goldsworthy, Laura Osborne, and Alex Chesterfield – followed by a panel discussion involving Dr Lees, Dr Brady, and Dr Casas. Below, you can find the key questions and answers.

We assume our opponents are more hostile towards us than they really are
The series opened with a talk by Dr Jeff Lees, focusing on two recent projects he helped lead. His work concerns meta-perceptions – what people think other people are thinking. Lees presented evidence from a number of experiments where people were asked what people would think if a rival party attempted to spearhead some kind of non-partisan reform, like requiring judges to be elected. Importantly, people also indicated what they themselves would think in the same situation. 

The results were clear – people were less likely to oppose the reforms than people belonging both to their rival group and to their own group thought they would be. In other words, people often have an exaggerated view of how hostile their political opponents are towards them, and how hostile their political allies are towards their opponents. Such perceptions are the lifeblood of polarisation. The results were robust too, replicated across multiple countries and multiple scenarios. Lees was able to go even further, determining that the driver of this exaggerated perception of hostility is the belief that political groups compete with one another for influence, rather than cooperate with each other for the common good.

The implications for polarisation are clear—much partisan enmity springs from misperception. Simply by helping people to see each other’s views more clearly, we might reduce polarisation. Indeed, in an intervention experiment conducted by Lees’ team, where participants were told how opposed their opponents actually were to the reforms, they subsequently provided much more accurate meta-perceptions. Further, by reframing politics as a process by which people with different views cooperate and compromise for the common good, we might help depolarisation too. This may well require the implementation of new norms for political discourse, even institutional reform. It is perhaps telling that one of the countries with the lowest levels of polarisation in the modern world is The Netherlands, a country whose political system is so used to collaborative politics that from 1994-2002 and again from 2012-2017, the government was a ‘Purple’ coalition comprised of the leading left-wing and right-wing parties (VVD and PvdA). If the prospect of Labour and the Conservatives or Democrats and Republicans sharing the executive branch seems utterly unthinkable, perhaps the relationship between parties in the US and UK needs a rethink.

Social media can supercharge polarisation
The second talk of the series concerned the role of social media in polarisation, as was hosted by Rakoen Martens. Dr William Brady discussed an upcoming paper that explored how the design of social media platforms – namely Twitter – incentivises individuals to share polarising content online by encouraging the expression of moral outrage. There are two mechanisms. Firstly, a feedback mechanism, where individuals who express moral outrage in response to scandals receive more likes and shares than those who are more restrained, which incentivises them to carry on doing it. Secondly, a norms mechanism, where the online communities that people inhabit can develop a tendency to conspicuously express moral outrage, which encourages their members to do likewise. Why is moral outrage important for understanding polarisation? Prior research has shown that polarising information is more likely to spread if it contains moral content. More generally, the widespread expression of moral outrage entrenches polarised divisions.

Importantly, this research suggests that people don’t just express moral outrage online because they are morally outraged – they are incentivised to do so by the social approbation they receive, and encouraged to do so by the fact that others around them are doing it too. The very structure of social media acts like a reinforcement learning mechanism. Thus, while politically-engaged Twitter users no doubt frequently have valid reasons to express moral outrage, the design of the platform elicits such expressions, artificially inflating their presence in our online discourse, thereby polarising us further. While it is difficult to envision social media companies making the changes to their platform design required to neuter these effects, it is important for future real-world interventions to recognise that people are likely to engage in polarising behaviour because they get rewarded for doing so by their peers, and regard the behaviour as normal. Interventions will need to overcome the polarising inertia these twin mechanisms create.

A depolarised society is no utopia
The third talk of the series was held in the wake of the US election, with the hosts of the Changed My Mind podcast – Ali Goldsworthy, Alex Chesterfield, and Laura Osborne. The panel offered some important insights into the kind of society we should be aiming for as we attempt to depolarise. As Osborne put it, a depolarised society is not “one amorphous blob of shiny happy people” – division and disagreement still exist, but systems are organised so as to benefit from this diversity of opinion. In depolarised societies, people who disagree are able to communicate with one another effectively, and work together in good faith, with political leaders playing an important role of setting the example for how others should conduct themselves responsibly and constructively.

One crucial aspect of depolarised societies is that people are allowed to change their minds. The panel spoke of how they realised over their years in politics, academia, and the media, that once people become associated with a particular political stance in the US or the UK, they face very high costs to changing their mind, particularly in public. People who switch sides, or admit their prior beliefs were mistaken, are ridiculed much more often than they are applauded. Simply, if following the evidence is more costly than persevering with mistaken beliefs, we can only expect people to become increasingly unmoored from reality. In order to depolarise, the expectation that people should form and defend political opinions, almost for its own sake, should be replaced with the expectation that people’s political views will be amorphous, incomplete, and responsive to change.

How do we depolarise?
The penultimate talk of the series was hosted by Sakshi Ghai and featured Dr Andres Casas, a visiting scholar at the University of Pennsylvania, and Behaviour Change advisor to the Mayor of Bogota. Casas offered a glimpse of how we can successfully put depolarisation interventions into practice. Casas and colleagues set out to reduce polarisation between FARC rebels and wider society in his native Colombia. This was a formidable challenge, seeking to overcome a division fuelled by 60 years of brutal civil war. The group’s prior work had even revealed that no group of people is viewed in a more dehumanised way than FARC militants are by ordinary Colombians.

But the researchers’ approach was strikingly simple: first, they set out to discover what thoughts and feelings led ordinary people to oppose making peace with FARC, then they set out to ‘unfreeze’ those thoughts and feelings, by designing an intervention to change them directly. They discovered that the perception that FARC were unwilling or unable to integrate into Colombian society was crucial to underpinning opposition to FARC reintegration. To change people’s minds about this perception, they travelled to a town (Dabeiba) situated next to a camp for former FARC militants, where integration had been encouraged (under military supervision), and the communities now shared amenities like a school and a football team, to interview people on both sides about their perceptions of the other, then showed the interview to ordinary Colombians. The interviewees spoke of how well the two communities were integrated, and watching the video significantly increased people’s support for FARC reintegration, primarily by increasing their perception that FARC were willing to integrate.

There are three things we can learn from this successful intervention. Firstly, it underscores the notion that often polarisation is driven by mistaken meta-perceptions – beliefs about what the ‘other side’ are thinking. Left unchallenged, meta-perceptions will often be excessively negative. Second, it reinforces the principle that simply showing people the truth about what other people believe can increase the accuracy of these meta-perceptions, and thereby reduce polarisation. These first two points are consistent with the work by Dr Lees. Third, this intervention demonstrates effective design principles for future depolarisation efforts – use primary research and theory to identify the thoughts and feelings which drive polarisation in a particular population, then implement an intervention to challenge those thoughts and feelings directly.

Connecting the dots
The last event of term brought Dr Lees, Dr Brady, and Dr Casas back together for an integrative discussion of their work. The discussion highlighted the elusive nature of polarisation, and pointed out some further points of agreement, as well as questions for future research.

So, to start with the points of agreement – it is clear that social identity is a key driver of polarisation. As the Changed Your Mind panel had pointed out, it is when individuals feel that a particular political identity is connected to their sense of self that they become most in danger of polarisation, as they simply do not want to be seen to change their minds. Therefore, the panel agreed, reducing the saliency of group identities in political discussions can aid depolarisation efforts.

Further, narratives are key. Narratives are simplified stories people tell each other about what is going on in the world and why. Often, our narratives about politics lead to polarisation. It is hard to explain other people’s behaviour without referencing their intentions, and as Dr Lees’ and Dr Casas’ discussions of meta-perceptions showed, we are often excessively negative in our judgment of rival political groups’ intentions. Therefore our narratives about them become inaccurate and polarising. This tendency becomes self-reinforcing too, as Dr Casas pointed out. As we separate ourselves from the groups we dislike and distrust, we have fewer opportunities to learn about each other accurately, making our narratives increasingly misguided. A kind of cognitive path dependence kicks in too – as we share ideas among our group, but not those in other groups, what one group holds to be true and right can become very distinct from what the other group holds to be true and right, creating new sources of real disagreement, pushing the groups further apart, even if the initial divide between the two groups is only subtle. But while narratives can pull us apart, Dr Casas noted that narratives can bring us together too – like the simple video telling the story of how FARC and ordinary Colombians had come together in Dabeiba.

What about questions for future research to approach? One question was whether polarisation is inevitable. Perhaps with vigilance over our meta-perceptions, our norms, our narratives, the role of identity, and the design of our social media, it will be possible to contain polarisation at a manageable level through the appropriate use of interventions and design of political institutions. But there certainly are, and always will be, strong psychological forces that predispose us towards polarisation.

But the big question is this – what really is polarisation? As the panel pointed out, it is primarily media interest in the phenomenon of polarisation that drives academic research, but in truth the body of literature on polarisation is still in need of formal organisation. We know about many of the facets of polarisation, we have many measures of it, and we have many theories about how it emerges. But there remains the sense that when we talk about polarisation, we might all be talking about slightly different things (it has recently been suggested that this issue – of applying intuitive but imprecise labels to heterogeneous phenomena – is in fact a much broader problem within psychological research). Is there a unifying essence of polarisation, something discrete and measurable to which its dangers can be attributed beyond anything else? In other words, what are the minimal criteria that separate a polarised society from a non-polarised one? Is it the extremity of the difference between the positions adopted by the two major political blocs in a society? Is it the mutual loathing between the groups? Is it the unwillingness of the groups to compromise with each other? Or is it just a natural and temporary state of affairs that arises when societies find themselves divided over important issues? While this CUBIT talk series showed that answering these questions need not preclude us from making progress tackling polarisation, they are questions that remain to be answered. These are mysteries for future research to resolve.

By David Young (@DavidJ_Young), with special thanks to Lee de-Wit (@LeedeWit), Leor Zmigrod (@LeorZmigrod), and Rakoen Maertens (@RakoenMaertens) for the helpful suggestions and assistance.

Categories
COVID-19 Mental Health

Is technology bad for us… in a pandemic?

This blog highlights seven insights about technology and our well-being. It builds on three journal clubs and a panel discussion with Tim Dalgleish, Amy Orben and Julieta Galante, organized by the Cambridge University Behavioural Insights Team.


1. Technology is not always bad…

Humans are social creatures—it is no secret that prolonged isolation is damaging to our well-being. Technology, especially through video-calling platforms such as Zoom, has enabled us to connect virtually despite being physically confined.

On an individual level, it has enabled new opportunities to take up well-being boosting activities through exercise and skill-sharing videos, live-streamed concerts, and webinars. It can also enable people with disabilities, who are often overlooked, to participate in previously inaccessible events.

On a societal level, Professor Dalgleish highlighted that the combination of COVID-19 and social media has helped to create new norms of checking up on friends, old and new. It has also created new opportunities for pro-social behaviour. For example, thousands of volunteers have been mobilized through social media platforms like Facebook to join COVID-19 support groups. This highlights the integral role of technology in facilitating and coordinating such altruistic actions. Hence, the pandemic has given people an excuse and opportunity—afforded by technology—to reach out and help each other, which has been shown to boost psychological well-being.

2. …but it is not always good

Despite its positive effects, concerns around the negative effects of technology are not unfounded. Existing research and meta-analyses indicate that overall, there is a small but negative effect of technology. However, it only explains at most 0.4% of the variation in well-being.

Dr Galante suggested a plausible mechanism for its adverse effects: technology can often distort people’s perceptions of social norms. The internet often gives the impression that “everyone is connecting all the time” and often showcases only positive snapshots of others’ lives. This could result in fear of missing out (FOMO), which has shown to be distressing and detrimental to well-being. Other notable online threats to our well-being include cybercrime, cyberbullying and cyber-racism.

In the age of COVID-19, these negative effects have further been compounded by what has now been dubbed “Zoom fatigue” and possibly impaired sleep quality by prolonged exposure to blue light.

3. We should be wary of misinformation

Especially in a pandemic, misinformation is rampant. Although misinformation is not a new phenomenon, new digital technologies have enabled it to spread faster, deeper and wider than never before. Since the early 2000s, widespread misinformation linking vaccinations to autism has convinced many people not to get vaccinated. In the midst of COVID-19, it is imperative that people receive accurate information on how best to protect themselves and their community.

While new technology may come with negative side-effects, it is a double-edged sword. Indeed, researchers have begun to use these very technologies to combat misinformation. Utilizing educational apps such as the Bad News Game has shown promise in protecting the public against misinformation across languages, cultures and several social media platforms.

4. Inequalities are very, very real

Of course, some people may not even have these technologies, let alone a stable internet connection. Unequal access across the globe and socio-economic class are often overlooked. Expectations by employers, schools and even peers—that everyone has equal access to digital tools—can be damaging. It could exacerbate the stress of the pandemic for certain less privileged groups.

This inequality does not only pertain to technological access, but also to financial security and mental health. Professor Dalgleish emphasized the large variability in both the mental and physical well-being of different people. He posited that this difference can likely be attributed to which need each person is being deprived of during the pandemic (based on Maslow’s Hierarchy of Needs). For example, we would expect people who have suddenly been retrenched, displaced, or homeless to have a vastly different experience to financially secure celebrities who have the luxury of self-isolating in a mansion.

Another important inequality is social rather than material: whether or not people already have established social networks. This inequality is felt acutely for younger age groups who are particularly dependent on social interaction with their peers. Dr Orben has recently started to investigate the potential disproportionate effects of COVID-19 on adolescents, who have yet to form stable social networks. At this developmental stage, peer social interaction, acceptance, and influence are particularly important. Her work suggests that technology enables some degree of healthy social interactions to continue during a lockdown. While physical distancing may be necessary, digital tools could be key to alleviating the detrimental effects of isolation on adolescents’ development.

5. We are not very good at researching technology in psychology

If you are a researcher, you are well aware of how arduous and long-drawn the process can be – from conceptualization, to getting approval, to experimenting, to publishing and beyond. Yet, we keep restarting the entire research cycle—dubbed as the “Sisyphean Cycle of Technology Panics”—each time a new technology is produced. We have seen this throughout history in response to novel ‘gadgets’ like paper, novels, radios and smartphones. This out-dated research process does not enable us to best inform policy and pivot quickly in response to contemporary issues like COVID-19.

In addition, Dr Orben criticized the research field for being “dominated by low-quality cross-sectional research,” resulting from the lack of theoretical baselines and frameworks. She highlighted four main limitations:

  1. Not considering directionality of impact—does technology result in reduced well-being, or does poorer psychological health increase technology use?
  2. Based on single-country samples, many studies’ findings may not be generalizable across the globe.
  3. The lack of consistency in defining and measuring both aspects of social media (Which platforms? What type of usage?) and levels of well-being across studies.
  4. Even when measurements do overlap, social media usage has relied primarily on self-reports, which are often inaccurate.

We hence do not have conclusive evidence to prove that technology truly is bad for our well-being, both for regular life and for this pandemic.

6. We are focusing on the wrong things

For too long, we have been focusing on issues like whether technology is bad for us. We have operationalized digital health through crude measures like “screen time.” We have been relying on social media detox experiments in an attempt to show that opting out of, or taking a break from, social media would improve our well-being.

However, research attempting to correlate such singular measures to our well-being has produced mixed results. This could be attributed to the considerable degree of variation within how people choose to spend their time online. For example, passive social media usage such as scrolling and liking has been associated with negative well-being. Conversely, active usage (e.g. engaging with content and close friends through comments and discussions) has been found to boost mental well-being.

Given that COVID-19 has converted most activities, work and school to take place virtually, the average time one spends on a screen would naturally increase. We may simply not have the option of opting out and reducing our screen time. The notion that increased screen time does not automatically equate to negative mental health is hence a promising one.

Perhaps it is not how long we spend on our screens, but what we are doing with it. Redirecting our focus may enable us capitalize on the potential for technology to improve our well-being. For example, apps regarding exercise, self-help therapy and mindfulness can boost many aspects of both physical and mental health. Online platforms can also help to support vulnerable populations and make help-seeking both safe and accessible. This is particularly relevant during COVID-19, which has seen a worrying escalation in domestic violence.

Existing research has hence demonstrated the importance of social media platform design. Trauma-support initiatives like Bloom are able to use platforms like Telegram—which does not require nor display one’s mobile number—to provide remote support to those in need. This is especially crucial to ensure the anonymity and safety of domestic abuse survivors. For the general population, the anonymous aspect of platforms like Reddit has similarly been shown to promote health-seeking behaviours and mutual support, especially for more taboo illnesses and issues.

7. Different platforms encourage different values

On the a similar tangent, given that the role of technology is likely to accelerate instead of recede as we head into the post-COVID-19 future, it is crucial that we start asking the right questions. Instead of focusing on whether technology is harmful, we should redirect our gaze towards how best these technologies can be harnessed to aid in our well-being. After all, it is likely that different platforms have different impacts on well-being.

Research to date is limited as it has focused primarily on the singular platform of Facebook, even coining the term “Facebook depression”. However, Donnelly and Kuss studied various platforms and found that Instagram had the most negative impact on psychological well-being. Their study demonstrated Instagram-usage as a significant predictor of depression, which had a greater negative impact as compared to Facebook, Snapchat and YouTube.

As new platforms spring up rapidly, it may be more useful to analyse certain aspects of the platform design that may promote or thwart well-being. It is likely that different platforms promote and reinforce certain values over others. For example, Instagram’s design—with prominently displayed ‘like’ and ‘follower’ counts—may promote social comparison. These measures are often viewed as metrics to evaluate and quantify one’s success on the platform. According to social rank theory, users “may feel shame and subordination if they receive fewer likes than friends and other accounts.” Furthermore, people use the platform to follow celebrities and influencers with carefully curated online presences, which often inspires envy and dissatisfaction. Convergent evidence was also found for the detrimental effect of social comparison across other platforms.

Future interventions can focus on educating the public on how best to utilize technological tools to maximize their well-being, such as emphasizing just how deleterious engaging in social comparison or passive use can be. However, the onus should not just be on individuals educating themselves; we can also design platforms to make it easy for people to engage in pro-social behaviour if they wish to do so. Instead of promoting emotions such as envy and greed, we should focus our efforts instead on how we could design technologies to encourage kindness, care and compassion instead. These have been shown to improve well-being.

In sum,

Technology is a mixed bag, and individual differences in experiences—especially during COVID-19—cannot be ignored. If we want to keep up with this era of fast-paced digitalization, we have to start implementing both rapid and rigorous research protocols. Moreover, it is critical that we collaborate across disciplines to figure out how best to design technologies to improve our well-being.

Perhaps the potential was always there– we just needed a pandemic to unlock it.


Special thanks to Rakoen Maertens and Dr Lee de-Wit for their invaluable contributions, and Gabriel Kor and Beanette Lee for their help in proofreading.