Social media platforms have witnessed an unprecedented growth in users from rural communities in India. Many of these users are new to online information environments and are highly susceptible to misinformation. Fact-checking has the potential to reduce the proliferation and impact of misinformation; however, little is known about how fact-checking organizations in India serve rural users. To fill this gap, we conducted interviews with 12 prominent fact-checking organizations in India to understand their current practices and challenges in providing their services to rural users and the associated human and technological infrastructure they use. We discovered several measures that fact-checking organizations take to increase the reach, awareness, and relevance of fact-checked content for rural users, such as engaging with stringer networks and utilizing vernacular languages. However, fact-checking organizations also face severe challenges that limit both the scale of their work and engagement from rural users. Drawing on these findings, we provide design and policy recommendations to improve the reach, awareness, and relevance of fact-checked content for social media users in rural areas.

Vector illustrations are object-based, meaning they are composed of strokes that can be filtered individually through textures or animations and transformed without loss of quality. These filters are typically difficult to specify without programming prerequisites. We propose filtered.ink , a full-featured illustration application to construct and explore filters via a node graph interface with a live preview. This turns vector graphics and their filters into a form of vector hypermedia that can be shared and remixed with new users. By examining interactions that occur when crafting, remixing, and using filters for dynamic illustrations through a task-based usability study, we expose new workflow patterns and avenues of expression. The observations result in a user model supported by filtered.ink: see, want, rewant, and remix. In this model, the artist breaks away from traditional notions of illustration, taking advantage of the inherent remixability of the strokes and filters in the vector graphics format.

Our project examines the relationship between the gender digital divide and associated ICT solutions, specifically in Ghana, South Africa, and India. Through literature review and interviews with organizations that develop ICT solutions, we then present a framework for current and future ICT implementations to effectively address and acknowledge the gender digital divide.

OBJECTIVE: To describe HARVEST, a novel point-of-care patient summarization and visualization tool, and to conduct a formative evaluation study to assess its effectiveness and gather feedback for iterative improvements. MATERIALS AND METHODS: HARVEST is a problem-based, interactive, temporal visualization of longitudinal patient records. Using scalable, distributed natural language processing and problem salience computation, the system extracts content from the patient notes and aggregates and presents information from multiple care settings. Clinical usability was assessed with physician participants using a timed, task-based chart review and questionnaire, with performance differences recorded between conditions (standard data review system and HARVEST). RESULTS: HARVEST displays patient information longitudinally using a timeline, a problem cloud as extracted from notes, and focused access to clinical documentation. Despite lack of familiarity with HARVEST, when using a task-based evaluation, performance and time-to-task completion was maintained in patient review scenarios using HARVEST alone or the standard clinical information system at our institution. Subjects reported very high satisfaction with HARVEST and interest in using the system in their daily practice. DISCUSSION: HARVEST is available for wide deployment at our institution. Evaluation provided informative feedback and directions for future improvements. CONCLUSIONS: HARVEST was designed to address the unmet need for clinicians at the point of care, facilitating review of essential patient information. The deployment of HARVEST in our institution allows us to study patient record summarization as an informatics intervention in a real-world setting. It also provides an opportunity to learn how clinicians use the summarizer, enabling informed interface and content iteration and optimization to improve patient care.