Related Experiment Video
Updated: Dec 10, 2025

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
Published on: February 29, 2020
13 Reasons Why: The Evidence Is in and Cannot Be Ignored
Dan Reidenberg1, Thomas Niederkrotenthaler2, Mark Sinyor3
1Suicide Awareness Voices of Education, Bloomington, Minnesota.
Abstract:
Decades of research overwhelmingly supports the public health necessity of safe, balanced, and responsible news media reporting on suicide.1,2 When news media follow recommendations for safe reporting, the risk of copycat suicide decreases.3 The Recommendations for Media Reporting on Suicide were developed by leading experts in suicide prevention and in collaboration with several international suicide prevention and public health organizations, schools of journalism, media organizations, and key journalists, as well as Internet safety experts (www.reportingonsuicide.org). The recommendations are based on more than 100 international studies on suicide contagion. Furthermore, in recent years, Niederkrotenthaler and others have specifically examined suicide-related media portrayals focused on messages of hope, recovery, or mastery over a crisis. Research demonstrates that following such portrayals, those exposed experience a decrease in suicidal ideation, diminished distress, and an increased sense of hope.4,5 Importantly, in some cases, fewer suicides are observed across the exposed population.1 In other words, both suicide and resilience are contagious behaviors, and the content of suicide-related news media messaging can and does prevent tragic deaths.
More Related Videos
05:51Exploring the Use of Isolated Expressions and Film Clips to Evaluate Emotion Recognition by People with Traumatic Brain Injury
Published on: May 15, 2016
07:56Assessing the Coherence of Parents' Short Narratives Regarding their Child Using the Five-Minute Speech Sample Procedure
Published on: September 19, 2019
Related Concept Videos
The Stanford Prison Experiment
Social Proof
The Evidence for Evolution
Bystander Effect
Cause and Effect
Confirmation Biases