Sharing Antivaping Social Media Messages.

Purpose: Positive vaping portrayals and marketing from influencers receive billions of views on visual-based social media. Strategies are needed to counter these appeals and encourage sharing about health harms.

Methods: We recruited 712 US young adults (ages 18-25 years) through Cloud Research for our between-persons experiment.

Independently testing prosocial interventions: Methods and recommendations from 31 researchers.

There is a growing need for independent, ecologically valid research on prosocial design interventions within online platforms. Platform design has a significant impact on user interactions, yet independent researchers often lack access to live platforms, limiting the ecological validity of studies testing the effectiveness of prosocial interventions. In response, 31 experts from academia, industry, and civil society gathered for a workshop focused on understanding methods that enable effective research on design interventions that lead to prosocial outcomes, such as healthy interactions and individual safety, well-being, and dignity.

Young People Are Willing to Intervene Against Rape Myths Online: A Simulated Social Media Experiment.

Purpose: Social media present opportunities to intervene on harmful rape myth beliefs among adolescents and young adults, such as through digital bystander intervention.

Methods: We conducted a digital experiment to examine young peoples' willingness to intervene on rape myth comments in a simulated social media environment. Participants were adolescents and young adults (n = 712) aged 18-25 years (M = 22.

Exposure and Reactions to Cancer Treatment Misinformation and Advice: Survey Study.

Background: Cancer treatment misinformation, or false claims about alternative cures, often spreads faster and farther than true information on social media. Cancer treatment misinformation can harm the psychosocial and physical health of individuals with cancer and their cancer care networks by causing distress and encouraging people to abandon support, potentially leading to deviations from evidence-based care. There is a pressing need to understand how cancer treatment misinformation is shared and uncover ways to reduce misinformation.

Artificial intelligence in communication impacts language and social relationships.

Artificial intelligence (AI) is already widely used in daily communication, but despite concerns about AI's negative effects on society the social consequences of using it to communicate remain largely unexplored. We investigate the social consequences of one of the most pervasive AI applications, algorithmic response suggestions ("smart replies"), which are used to send billions of messages each day. Two randomized experiments provide evidence that these types of algorithmic recommender systems change how people interact with and perceive one another in both pro-social and anti-social ways.

Behavioral contagion on social media: Effects of social norms, design interventions, and critical media literacy on self-disclosure.

Social norms are powerful determinants of human behaviors in offline and online social worlds. While previous research established a correlational link between norm perceptions and self-reported disclosure on social network sites (SNS), questions remain about downstream effects of prevalent behaviors on perceived norms and actual disclosure on SNS. We conducted two preregistered studies using a realistic social media simulation.