A method for measuring investigative journalism in local newspapers.

Major changes to the operation of local newsrooms-ownership restructuring, layoffs, and a reorientation away from print advertising-have become commonplace in the last few decades. However, there have been few systematic attempts to characterize the impact of these changes on the types of reporting that local newsrooms produce. In this paper, we propose a method to measure the investigative content of news articles based on article text and influence on subsequent articles. We use our method to examine over-time and cross-sectional patterns in news production by local newspapers in the United States over the past decade. We find surprising stability in the quantity of investigative articles produced over most of the time period examined, but a notable decline in the last 2 y of the decade, corresponding to a recent wave of newsroom layoffs.

Community implications for gun violence prevention during co-occurring pandemics; a qualitative and computational analysis study.

This study provides insight into New York City residents' perceptions about violence after the outbreak of Coronavirus disease (COVID-19) based on information from communities in New York City Housing Authority (NYCHA) buildings. In this novel analysis, we used focus group and social media data to confirm or reject findings from qualitative interviews. We first used data from 69 in-depth, semi-structured interviews with low-income residents and community stakeholders to further explore how violence impacts New York City's low-income residents of color, as well as the role of city government in providing tangible support for violence prevention during co-occurring health (COVID-19) and social (anti-Black racism) pandemics. Residents described how COVID-19 and the Black Lives Matter movement impacted safety in their communities while offering direct recommendations to improve safety. Residents also shared recommendations that indirectly improve community safety by addressing long term systemic issues. As the recruitment of interviewees was concluding, researchers facilitated two focus groups with 38 interviewees to discuss similar topics. In order to assess the degree to which the themes discovered in our qualitative interviews were shared by the broader community, we developed an integrative community data science study which leveraged natural language processing and computer vision techniques to study text and images on public social media data of 12 million tweets generated by residents. We joined computational methods with qualitative analysis through a social work lens and design justice principles to most accurately and holistically analyze the community perceptions of gun violence issues and potential prevention strategies. Findings indicate valuable community-based insights that elucidate how the co-occurring pandemics impact residents' experiences of gun violence and provide important implications for gun violence prevention in a digital era.

Diabetic striatopathy in an adult with ketotic hyperglycaemia.

Diabetic striatopathy (DS) is a rare and life-threatening mani- festation of diabetes. The disease commonly affects individuals of Asian descent, women and the elderly. DS is characterized by dyskinesias with basal ganglia hyperintensities on imaging. Despite being rare, prompt recognition of a hyperglycaemia- induced hemichorea-hemiballismus is essential because the symptoms are reversible with correction of hyperglycaemia. Diagnosis is based on blood analysis and neuroimaging findings. Laboratory tests reveal raised glycosylated haemoglobin (HbA1c) levels, which indicate poorly controlled diabetes. Neuroimaging provides suggestive findings of DS. It is usually associated with non-ketotic hyperglycaemia. We report a 50-year-old woman who presented with ketotic hyperglycaemia and left-sided hemichorea and partial seizures with secondary generalization.