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Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Misinformation and Public Health Messaging in the Early Stages of the Mpox Outbreak: Mapping the Twitter Narrative With Deep Learning

Shortly after adopting a “learn to live with” approach to COVID-19, the World Health Organization (WHO) declared mpox, a viral zoonotic disease caused by the mpox virus, an international health concern [1]. Though previously a relatively rare disease isolated to portions of western and southern Africa, a cluster of cases linked to communities of men who have sex with men (MSM) in parts of Europe and the United States implicated disease spread to communities previously unaffected by the virus [2].

Andy Edinger, Danny Valdez, Eric Walsh-Buhi, Jennifer S Trueblood, Lorenzo Lorenzo-Luaces, Lauren A Rutter, Johan Bollen

J Med Internet Res 2023;25:e43841

“I Haven’t Been Diagnosed, but I Should Be”—Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study

“I Haven’t Been Diagnosed, but I Should Be”—Insight Into Self-diagnoses of Common Mental Health Disorders: Cross-sectional Study

We first hypothesized that there would be a positive relationship between self-reported disorder-specific severity scores and having received a diagnosis. Second, we expected that there would be significant differences between the participants who believed that they should receive a diagnosis and those who reported that they had never been diagnosed.

Lauren A Rutter, Jacqueline Howard, Prabhvir Lakhan, Danny Valdez, Johan Bollen, Lorenzo Lorenzo-Luaces

JMIR Form Res 2023;7:e39206

Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Botometer Analysis

Sociodemographics and Transdiagnostic Mental Health Symptoms in SOCIAL (Studies of Online Cohorts for Internalizing Symptoms and Language) I and II: Cross-sectional Survey and Botometer Analysis

Individuals who were Twitter users (ie, all individuals in SOCIAL I and some in SOCIAL II) were queried about how much time they spent on Twitter (less than once every few weeks; every few weeks; a few days (more like 1-2) a week; a few days (3-5) a week; about once a day; or several times a day). This item was selected on the basis that it was used by the Pew Research Center in a previous study on social media use in the United States.

Lorenzo Lorenzo-Luaces, Jacqueline Howard, Andy Edinger, Harry Yaojun Yan, Lauren A Rutter, Danny Valdez, Johan Bollen

JMIR Form Res 2022;6(10):e39324

Social Media Use, Physical Activity, and Internalizing Symptoms in Adolescence: Cross-sectional Analysis

Social Media Use, Physical Activity, and Internalizing Symptoms in Adolescence: Cross-sectional Analysis

Social media refers to web-based networks that enable users to interact with each other visually and verbally [1] via a public or semipublic profile within a bounded system [2]. Social media is ubiquitous, and its use continues to rise, especially among adolescents and young adults. Over a span of 6 years, the number of adolescents with smartphones grew from 4 in 10 adolescents to 9 in 10 adolescents [3].

Lauren A Rutter, Holly M Thompson, Jacqueline Howard, Tennisha N Riley, Robinson De Jesús-Romero, Lorenzo Lorenzo-Luaces

JMIR Ment Health 2021;8(9):e26134

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

Social Media Insights Into US Mental Health During the COVID-19 Pandemic: Longitudinal Analysis of Twitter Data

To address these RQs, we analyzed a large-scale set of Twitter data that are strictly relevant to the topic of COVID-19 in the United States from January 22, 2020, onward. Using this data, we also compiled a second corpus of individual geolocated social media timeline data from the same period to understand changes in personal sentiment as a proxy for mental health and evolving US perceptions of the COVID-19 pandemic.

Danny Valdez, Marijn ten Thij, Krishna Bathina, Lauren A Rutter, Johan Bollen

J Med Internet Res 2020;22(12):e21418