Joe Smyser
Biographic Data
| ID | 2744546 |
|---|---|
| NAME | Joe Smyser |
| GIVEN NAMES | Joe |
| FAMILY NAME | Smyser |
| SIGNATURE | SMYSER J |
| AFFILIATIONS | The Public Good Projects, Alexandria, VA, USA |
| VERIFIED | No |
| TOTAL WORKS | 13 |
| TOTAL CITATIONS | 4 |
| WORKS AS AUTHOR | 13 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Challenging public stigma
Background Opioid-related stigma can affect the health and recovery of individuals with opioid use disorder (OUD). As such, campaigns to reduce stigma are needed. We evaluated Life Unites Us (LUU), a comprehensive social media campaign to reduce public stigma of opioids and those who use them, 12 months after campaign launch.Methods A cross-sectional web survey of 1,045 people was used to assess differences in public stigma by exposure to LUU. Su…
A digital media campaign to promote awareness of housing rights
Community-powered change in the Omaha metropolitan area
Mental health stigma is associated with a range of negative health outcomes, and there is a need for more information on how to apply evidence-based digital strategies to various geographic areas. This case study reviews the creation and implementation of a community-based participatory digital media campaign that uses a collective impact framework to address mental health stigma reduction in the Omaha metropolitan area. The campaign was delivere…
A multi-site intervention using influencers to communicate about syringe service programmes
Introduction: In the USA, syringe services programmes (SSPs) provide a range of harm reduction services and have numerous benefits for communities. However, stigma, misconceptions about SSPs and changing policies/legislation remain a challenge to effective implementation. This study reviews the implementation of two digital interventions, Appalachian Influence and Shared Influence, which used social media influencers and digital volunteers to com…
Persuasive Covid-19 vaccination campaigns on Facebook and nationwide vaccination coverage in Ukraine, India, and Pakistan
Social media platforms have a wide and influential reach, and as such provide an opportunity to increase vaccine uptake. To date, there is no large-scale, robust evidence on the offline effects of online messaging campaigns. We aimed to test whether pre-tested, persuasive messaging campaigns from UNICEF, disseminated on Facebook, influenced COVID-19 vaccine uptake in Ukraine, India, and Pakistan. In Ukraine, we deployed a stepped-wedge randomized…
The Opioid Epidemic and the State of Stigma
Background: The opioid epidemic is a public health crisis. Among initiatives surrounding treatment and prevention, opioid use disorder (OUD) stigma has emerged as a subject for intervention. Objectives: This study examines overall results and demographic differences of three subscales of a public stigma survey instrument: general attitudes, social distance, and treatment availability and effectiveness. Methods: A statewide sample of Pennsylvanian…
Mental Health Stigma Reduction in the Midwestern United States
Life unites us
Introduction: Opioid use disorder (OUD) is a critical health issue in the USA. Pennsylvania has the third highest number of drug overdose deaths per year, with the COVID-19 pandemic worsening these trends. Stigmatising beliefs towards OUD are associated with negative health outcomes, and there is a need for a larger evidence base on OUD stigma reduction strategies. This study reports on the creation and implementation of Life Unites Us, a digital…
Layla’s Got You
Introduction: In Onondaga County, New York, around half of all births to Black and Hispanic teenage girls are unintended. The Layla’s Got You campaign consists of a chatbot and social media campaign designed to increase contraception knowledge among 16- to 25-year-old Black and Hispanic women in Onondaga County. Methods: The campaign was co-created with local women in the target audience and employed digital and grassroots community building stra…
Temas de contenido y voces influyentes dentro de la oposición a las vacunas en Twitter, 2019
Objetivo. Informar sobre la oposición a las vacunas y la información errónea fomentadas en Twitter, destacando las cuentas de Twitter que dirigen estas conversaciones. Métodos. Utilizamos el aprendizaje automático supervisado para codificar todos los mensajes publicados en Twitter. En primer lugar, identificamos manualmente los códigos y los temas mediante un enfoque teórico fundamentado y, a continuación, los aplicamos a todo el conjunto de dato…
The case for tracking misinformation the way we track disease
While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public's health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate…
Building Strong Futures
Content Themes and Influential Voices Within Vaccine Opposition on Twitter, 2019
Objectives. To report on vaccine opposition and misinformation promoted on Twitter, highlighting Twitter accounts that drive conversation. Methods. We used supervised machine learning to code all Twitter posts. We first identified codes and themes manually by using a grounded theoretical approach and then applied them to the full data set algorithmically. We identified the top 50 authors month-over-month to determine influential sources of inform…
Content Themes and Influential Voices Within Vaccine Opposition on Twitter, 2019
Objectives. To report on vaccine opposition and misinformation promoted on Twitter, highlighting Twitter accounts that drive conversation. Methods. We used supervised machine learning to code all Twitter posts. We first identified codes and themes manually by using a grounded theoretical approach and then applied them to the full data set algorithmically. We identified the top 50 authors month-over-month to determine influential sources of inform…
The case for tracking misinformation the way we track disease
While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public's health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate…
Building Strong Futures
Content Themes and Influential Voices Within Vaccine Opposition on Twitter, 2019
Objectives. To report on vaccine opposition and misinformation promoted on Twitter, highlighting Twitter accounts that drive conversation. Methods. We used supervised machine learning to code all Twitter posts. We first identified codes and themes manually by using a grounded theoretical approach and then applied them to the full data set algorithmically. We identified the top 50 authors month-over-month to determine influential sources of inform…
Layla’s Got You
Introduction: In Onondaga County, New York, around half of all births to Black and Hispanic teenage girls are unintended. The Layla’s Got You campaign consists of a chatbot and social media campaign designed to increase contraception knowledge among 16- to 25-year-old Black and Hispanic women in Onondaga County. Methods: The campaign was co-created with local women in the target audience and employed digital and grassroots community building stra…
Temas de contenido y voces influyentes dentro de la oposición a las vacunas en Twitter, 2019
Objetivo. Informar sobre la oposición a las vacunas y la información errónea fomentadas en Twitter, destacando las cuentas de Twitter que dirigen estas conversaciones. Métodos. Utilizamos el aprendizaje automático supervisado para codificar todos los mensajes publicados en Twitter. En primer lugar, identificamos manualmente los códigos y los temas mediante un enfoque teórico fundamentado y, a continuación, los aplicamos a todo el conjunto de dato…
The case for tracking misinformation the way we track disease
While public health organizations can detect disease spread, few can monitor and respond to real-time misinformation. Misinformation risks the public's health, the credibility of institutions, and the safety of experts and front-line workers. Big Data, and specifically publicly available media data, can play a significant role in understanding and responding to misinformation. The Public Good Projects uses supervised machine learning to aggregate…
The Opioid Epidemic and the State of Stigma
Background: The opioid epidemic is a public health crisis. Among initiatives surrounding treatment and prevention, opioid use disorder (OUD) stigma has emerged as a subject for intervention. Objectives: This study examines overall results and demographic differences of three subscales of a public stigma survey instrument: general attitudes, social distance, and treatment availability and effectiveness. Methods: A statewide sample of Pennsylvanian…
Mental Health Stigma Reduction in the Midwestern United States
Life unites us
Introduction: Opioid use disorder (OUD) is a critical health issue in the USA. Pennsylvania has the third highest number of drug overdose deaths per year, with the COVID-19 pandemic worsening these trends. Stigmatising beliefs towards OUD are associated with negative health outcomes, and there is a need for a larger evidence base on OUD stigma reduction strategies. This study reports on the creation and implementation of Life Unites Us, a digital…
A multi-site intervention using influencers to communicate about syringe service programmes
Introduction: In the USA, syringe services programmes (SSPs) provide a range of harm reduction services and have numerous benefits for communities. However, stigma, misconceptions about SSPs and changing policies/legislation remain a challenge to effective implementation. This study reviews the implementation of two digital interventions, Appalachian Influence and Shared Influence, which used social media influencers and digital volunteers to com…
Persuasive Covid-19 vaccination campaigns on Facebook and nationwide vaccination coverage in Ukraine, India, and Pakistan
Social media platforms have a wide and influential reach, and as such provide an opportunity to increase vaccine uptake. To date, there is no large-scale, robust evidence on the offline effects of online messaging campaigns. We aimed to test whether pre-tested, persuasive messaging campaigns from UNICEF, disseminated on Facebook, influenced COVID-19 vaccine uptake in Ukraine, India, and Pakistan. In Ukraine, we deployed a stepped-wedge randomized…
Community-powered change in the Omaha metropolitan area
Mental health stigma is associated with a range of negative health outcomes, and there is a need for more information on how to apply evidence-based digital strategies to various geographic areas. This case study reviews the creation and implementation of a community-based participatory digital media campaign that uses a collective impact framework to address mental health stigma reduction in the Omaha metropolitan area. The campaign was delivere…
Challenging public stigma
Background Opioid-related stigma can affect the health and recovery of individuals with opioid use disorder (OUD). As such, campaigns to reduce stigma are needed. We evaluated Life Unites Us (LUU), a comprehensive social media campaign to reduce public stigma of opioids and those who use them, 12 months after campaign launch.Methods A cross-sectional web survey of 1,045 people was used to assess differences in public stigma by exposure to LUU. Su…
A digital media campaign to promote awareness of housing rights
Medicine (11 works) · Political science (9 works) · Psychology (7 works) · Nursing (6 works) · Public health (6 works) · Public relations (6 works) · Environmental health (5 works) · Mental Health Treatment and Access (5 works) · Psychiatry (5 works) · Social media (5 works)