Research Areas

CHIRP members examine the infodemic phenomenon from a range of different theoretical perspectives. The group's researchers arrive from backgrounds in public health, psychology, communication, human-computer interaction, data science, and international development. The research methodologies we use range from in-depth interviews and focus groups to experimental surveys and analysis of big social media data. 

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Cognition

Effects of online health information on cognitive and memory-related outcomes

Social Determinants & Inequalities

How infodemics affect social and structural factors that influence health equity

Health & Wellbeing

Infectious diseases, nutrition and other health and wellbeing issues

Information Problems 

Misinformation, conflicting information, fake news, conspiracy theories and other information-related issues

Interventions

Evaluations of online, offline and hybrid interventions

Our Projects

Health misinformation & information verification

This project examines the psychological correlates of information verification behaviours undertaken by social media users in Brazil and Uganda in response to COVID-19 misinformation

Building resilience to misinformation among young people

This project seeks to document the ways in which young people demonstrate resilience to online health misinformation and will inform interventions to strengthen resilience in the future

Vulnerability to online health misinformation

This project focuses on individual and cognitive factors that make social media users more vulnerable to online health misinformation

Language less visual health communication

This project evaluates the effectiveness of GIF-based COVID-19 language less messages to communities in Guatemala

Project gut feel

This project unpacks the probiotics controversy using analysis of big social media data and large-scale surveys in the US, UK and the ASEAN region

Efficacy of corrective interventions

This project evaluates the efficacy of corrective interventions by health agencies by focusing on dosage and durability of health messaging

Misinformation and poverty

Using secondary data analyses, this project looks at ways in which multiple deprivation factors predispose communities to online health misinformation