Contextual Analysis of Social Media: The Promise and Challenge of Eliciting Context in Social Media Posts with Natural Language Processing.

While natural language processing affords researchers an opportunity to automatically scan millions of social media posts, there is growing concern that automated computational tools lack the ability to understand context and nuance in human communication and language. This article introduces a critical systematic approach for extracting culture, context and nuance in social media data. The Contextual Analysis of Social Media (CASM) approach considers and critiques the gap between inadequacies in natural language processing tools and differences in geographic, cultural, and age-related variance of social media use and communication. CASM utilizes a team-based approach to analysis of social media data, explicitly informed by community expertise. We use of CASM to analyze Twitter posts from gang-involved youth in Chicago. We designed a set of experiments to evaluate the performance of a support vector machine using CASM hand-labeled posts against a distant model. We found that the CASM-informed hand-labeled data outperforms the baseline distant labels, indicating that the CASM labels capture additional dimensions of information that content-only methods lack. We then question whether this is helpful or harmful for gun violence prevention.

Artificial Intelligence and Inclusion: Formerly Gang-Involved Youth as Domain Experts for Analyzing Unstructured Twitter Data.

Mining social media data for studying the human condition has created new and unique challenges. When analyzing social media data from marginalized communities, algorithms lack the ability to accurately interpret off-line context, which may lead to dangerous assumptions about and implications for marginalized communities. To combat this challenge, we hired formerly gang-involved young people as domain experts for contextualizing social media data in order to create inclusive, community-informed algorithms. Utilizing data from the Gang Intervention and Computer Science Project-a comprehensive analysis of Twitter data from gang-involved youth in Chicago-we describe the process of involving formerly gang-involved young people in developing a new part-of-speech tagger and content classifier for a prototype natural language processing system that detects aggression and loss in Twitter data. We argue that involving young people as domain experts leads to more robust understandings of context, including localized language, culture, and events. These insights could change how data scientists approach the development of corpora and algorithms that affect people in marginalized communities and who to involve in that process. We offer a contextually driven interdisciplinary approach between social work and data science that integrates domain insights into the training of qualitative annotators and the production of algorithms for positive social impact.

Banking the Future: Adolescent Capacity to Consent to Biobank Research.

Adolescents are an important population to represent in biobanks. Inclusion of biospecimens from adolescents advances our understanding of the long-term consequences of pediatric disease and allows the discovery of methods to prevent adult diseases during childhood. Consent for biobanking is complex, especially when considering adolescent participation, as it brings up issues that are not present with general clinical research. The development and successful implementation of an adolescent capacity assessment tool applied specifically to biobanking can potentially provide researchers and clinicians with contextualized information on participants' understanding, appreciation, reasoning, and voluntary choice for biobanks. This tool would enhance current studies looking at the role of shared decision-making in biobanking, as well as provide a formal measurement when considering decisions around pediatric and adolescent biobanking participation. This study adapted the MacCAT-CR for use with a hypothetical adolescent biobank study and examines predictors of MacCAT-CR scores on healthy and chronically ill adolescents.

Screening for Access to Firearms by Pediatric Trainees in High-Risk Patients.

OBJECTIVE: Access to firearms is an independent risk factor for completed suicide and homicide, and the American Academy of Pediatrics recommends that pediatricians screen and counsel about firearm access and safe storage. This study investigates how often pediatric residents screen for access to firearms or counsel about risk-reduction in patients with suicidal or homicidal ideation. METHODS: Retrospective chart review of visits by patients younger than the age of 19 years presenting to the pediatric emergency department (ED) of a tertiary academic medical center from January to December 2016. Visits were eligible if there was an ultimate ED discharge diagnosis of "suicidal ideation," "suicide attempt," or "homicidal ideation" as identified by International Statistical Classification of Diseases and Related Health Problems, 10th revision codes and the patient was seen by a pediatric resident before evaluation by psychiatry. Descriptive statistics were used to analyze results. RESULTS: Ninety-eight patients were evaluated by a pediatric resident for medical assessment before evaluation by a psychiatry team during the study period and were therefore eligible for inclusion. Screening for firearm access was documented by a pediatric resident in 5 of 98 (5.1%) patient encounters. Twenty-five patients (25.5%) had no documented screening for firearm access by any provider during the ED visit, including in 5 cases when patients were discharged home. CONCLUSIONS: Pediatric residents rarely document screening for firearm access in patients with known suicidal or homicidal ideation who present to the ED. Additional understanding of the barriers to screening and potential strategies for improving screening and counseling are critical to providing appropriate care for high-risk pediatric patients.

Willingness to Disclose Sexually Transmitted Infection Status to Sex Partners Among College-Aged Men in the United States.

Disclosure of sexually transmitted infections (STIs) to sexual partners is critical to the prevention, treatment, and control of STIs. We examine personal intra and interpersonal influences on willingness to disclose STI status among college-aged men. Participants (n = 1064) were aged 17 to 24 years and recruited from a variety of university and community venues. Using independent-samples t test, Pearson χ test, and binary logistic regression, we examined the relationship between willingness to disclose an STI and intrapersonal and interpersonal factors, including age, masculinity values, interpersonal violence, partner cell phone monitoring, alcohol and/or drug use, condom use, number and characteristics of sex partners, and previous STI. Results reveal that among college-aged men, type of sex partner and masculinity values are significant variables in predicting whether or not an individual is willing to disclose. These data can inform STI control programs to more effectively address the complex issues associated with STI disclosure to sex partners.