The SHeLL Health Literacy Editor is an online browser-based software that gives you objective, real-time feedback on the complexity of health information.

Q&A: What Happens When We Encounter the Same Information Repeatedly? In this Q&A from Choiceology, UCL and MIT neuroscience professor Tali Sharot discusses her research exploring a mistake we can make when we’re exposed to the same information repeatedly.

Audiopedia Academy GPT is an advanced AI-powered assistant built using OpenAI's GPT technology. Designed specifically to help Community-Based Organizations (CBOs), NGOs, government organizations, and individual stakeholders, this tool guides users through the EDUC method for creating meaningful and effective audio-based outreach campaigns. This interactive, empathetic, and resource-aware tool is now available at adp.ax/gpt.

I used three words that I routinely used in talks, and that I had thought about for a long time before selecting for frequent repetition in my book on dieting. I thought they helped simplify a complex idea. I was horrified that morning to realize that my three carefully chosen words could be mistaken for terrible diet advice if you plucked them out of the sentences they were in. I urged people to strive for their “leanest livable weight.” It looked like I was recommending that people diet until their weight was so low they could just barely cling to life. Did I mean that? Absolutely not. If anything, I meant close to the opposite.

Our approach to goals and challenges can be categorized into two main motivational mindsets: prevention focus and promotion focus. These concepts, developed by social psychologist Tory Higgins, describe how we frame our desires and how that shapes our behaviour.

In this video, behavioural expert Bri Williams reveals why we are better to talk about a product's users than the product itself when sharing a statistic.

Latinx is broadly unpopular among Latino adults who have heard of it, according to the survey. 75% of Latinos who have heard of the term Latinx say it should not be used to describe the Hispanic or Latino population, up from 65% saying the same in 2019.

An in-depth analysis of replies to COVID-19 vaccination outreach reveals thanks, angst — and much more.

This highlights some really important things to consider in creating behavior change interventions - there isn't one “user journey“ - as Amy said many times, personalization will matter (and we can have a whole other conversation on what personalization means). There may be a “dose“ effect for some people where they need to accumulate a certain understanding before any message works and it is more about the dose than the personalization (or not) of the most proximal message.

Anticipated regret can indeed be a powerful motivator. When you think about what you don’t want in the future—and the picture in your mind is unpleasant enough—it can influence the decisions you make right now. While anticipated regret sometimes comes across as fearmongering, it can be done more artfully. In behavior change communications, we can apply the right dose of this strategy to prompt a person to action.

Our latest capability “Ask Viamo Anything” is providing access to the latest AI technology to the digitally disconnected – at no cost to them. It was built and will soon be offered on the Viamo Platform. Ask Viamo Anything works on simple mobile phones without internet access. And because of its use of voice technology, it can even be used by people with low literacy — leapfrogging text-based approaches and truly democratizing access.

Results indicated that emotional shift messages generated more talk than single-valence messages because they elicited greater emotional intensity and deeper message processing.

New Metaphors is a creative toolkit for generating ideas and reframing problems.

“We tested the effectiveness of different messages aimed at addressing climate change and created a tool that can be deployed by both lawmakers and practitioners to generate support for climate policy or to encourage action,” says Madalina Vlasceanu, an assistant professor in New York University’s Department of Psychology and the paper’s lead author. The tool, which the researchers describe as a “Climate Intervention Webapp,” takes into account an array of targeted audiences in the studied countries, ranging from nationality and political ideology to age, gender, education, and income level. “To maximize their impact, policymakers and advocates can assess which messaging is most promising for their publics,” adds paper author Kimberly Doell, a senior scientist at the University of Vienna who led the project with Vlasceanu. Article: https://osf.io/preprints/psyarxiv/cr5at Tool: https://climate-interventions.shinyapps.io/climate-interventions/

We constructed brand names for diverse products with consonantal stricture spots either from the front to the rear of the mouth, thus inwards (e.g., BODIKA), or from the rear to the front, thus outwards (e.g., KODIBA). These muscle dynamics resemble the oral kinematics during either ingestion (inwards), which feels positive, or expectoration (outwards), which feels negative. In 7 experiments (total N = 1261), participants liked products with inward names more than products with outward names (Experiment 1), reported higher purchase intentions (Experiment 2), and higher willingness-to-pay (Experiments 3a–3c, 4, 5), with the price gain amounting to 4–13% of the average estimated product value.

FDA/Rescue

In one of my studies I showed that first-person internally focused narratives – that is, stories with a character in first person revealing their feelings, thoughts and motivations – heightened perceived dangers of prescription opioids, aroused anticipated guilt and promoted negative attitudes toward prescription opioids among the audience.

“significant” p-value ≠ “significant” finding: The significance of statistical evidence for the true X (i.e., statistical significance of the p-value for the estimate of the true X) says absolutely nothing about the practical/scientific significance of the true X. That is, significance of evidence is not evidence of significance. Increasing your sample size in no way increases the practical/scientific significance of your practical/scientific hypothesis. “significant” p-value = “discernible” finding: The significance of statistical evidence for the true X does tell us how well the estimate can discern the true X. That is, significance of evidence is evidence of discernibility. Increasing your sample size does increase how well your finding can discern your practical/scientific hypothesis.

Mercier and Sperber prefer the term “myside bias.” Humans, they point out, aren’t randomly credulous. Presented with someone else’s argument, we’re quite adept at spotting the weaknesses. Almost invariably, the positions we’re blind about are our own.

Why do we believe misinformation more easily when it’s repeated many times?

Linguistic accessibility is important because people in a group often speak more than one language with various degrees of confidence. People also use different varieties of the same language or create their own variety. The way a language develops in a multilingual group reflects what people need and want to communicate.

Deliberate ignorance is a potential barrier for information interventions aiming to reduce meat consumption and needs to be considered in future interventions and research. Self-efficacy exercises are a promising approach to reduce deliberate ignorance and should be further explored.

An interactive tool to help you take a behaviourally informed approach when designing your communications

The theme of the 2023 annual virtual CHASM conference is “Health is Social: Leveraging the Metaverse to Improve Public Health.” A theme throughout the conference will be the role of social connectedness in health and ways we can leverage the metaverse to strengthen social ties, social support, and tilt social norms toward healthy choices, healthy lifestyles, and healthy communities. This conference will feature keynote speakers and panelists who are studying and innovating tools of the metaverse, including social media, virtual reality, and digital technologies to help us connect in ways that solve health problems.

Since the mid-2010s, chatbots have grown in usage and popularity across the humanitarian sector. While this usage has gained traction, there is scarce information on the collective successes, risks, and trade-offs of this automation. This research addresses this gap, documenting chatbot deployments across the humanitarian sector and exploring the existing uses, benefits, trade-offs and challenges of using chatbots in humanitarian contexts. Related Resources

Introduction: As emotions are strong predictors of climate policy support, we examined multiple discrete emotions that people experience in reaction to various types of information about climate change: its causes, the scientific consensus, its impacts, and solutions. Specifically, we assessed the relationships between four types of messages and five discrete emotions (guilt, anger, hope, fear, and sadness), testing whether these emotions mediate the impacts of information on support for climate policy. Methods: An online experiment exposed participants (N = 3,023) to one of four informational messages, assessing participants' emotional reactions to the message and their support for climate change mitigation policies as compared to a no-message control group. Results: Each message, except the consensus message, enhanced the feeling of one or more emotions, and all of the emotions, except guilt, were positively associated with policy support. Two of the messages had positive indirect effects on policy support: the impacts message increased sadness, which in turn increased policy support, and the solutions message increased hope, which increased policy support. However, the solutions message also reduced every emotion except hope, while the impacts, causes, and consensus messages each suppressed hope. Discussion: These findings indicate that climate information influences multiple emotions simultaneously and that the aroused emotions may conflict with one another in terms of fostering support for climate change mitigation policies. To avoid simultaneously arousing a positive motivator while depressing another, message designers should focus on developing content that engages audiences across multiple emotional fronts.

Unfortunately, that output can seem so plausible that without a clear indication of its synthetic origins, it becomes a noxious and insidious pollutant of our information ecosystem.