![]() ![]() This paper sets forth a conceptual framework for the filtering and quality evaluation of social data that addresses several common challenges and moves toward establishing a standard of reporting social data. Retrieval recall was 86% assuming ideal conditions (no human coding errors and full data collection), 75% when unretrieved messages could not be archived, 86% assuming no false negative errors by coders, and 93% allowing both false negative and false positive errors by human coders. Retrieval precision was calculated above 95% in all cases. The search filter retrieved 82,205 e-cigarette-related tweets from the archive and was validated. We developed and applied a search filter to retrieve e-cigarette-related tweets from the archive based on three keyword categories: devices, brands, and behavior. We then apply the framework on a real-world example using approximately 4 million tobacco-related tweets collected from the Twitter firehose. We then discuss two conditions that estimation of retrieval precision and recall rely on-accurate human coding and full data collection-and how to calculate these statistics in cases that deviate from the two ideal conditions. This framework is based on two criteria: retrieval precision (how much of retrieved data is relevant) and retrieval recall (how much of the relevant data is retrieved). We propose a conceptual framework consisting of three major steps in collecting social media data: develop, apply, and validate search filters. We aimed to develop and apply a framework of social media data collection and quality assessment and to propose a reporting standard, which researchers and reviewers may use to evaluate and compare the quality of social data across studies. Standards of reporting data sources and quality are needed so that data scientists and consumers of social media research can evaluate and compare methods and findings across studies. Without a properly focused lens, research conclusions may be biased or misleading. Keywords and search filters applied to social data form the lens through which researchers may observe what and how people communicate about a given topic. ![]() While the number of studies using social data is growing rapidly, very few of these studies transparently outline their methods for collecting, filtering, and reporting those data. Social media platforms also serve as novel sources of rich observational data for health research (including infodemiology, infoveillance, and digital disease detection detection). People increasingly obtain news and health information online and via social media. Through these channels, NBEC not only hopes to help to significantly curb the maternal and infant mortality rate but to also shift the culture within public health, creating an all-around more equitable and respectful level of care for all women, birthing people, and their babies.Social media have transformed the communications landscape. It is through this expanded focus that NBEC has evolved to become one of the leading organizations within the maternal mortality crisis, using advocacy, collaboration, policy, research, training, and technical assistance to accomplish its mission. With the launch of its training program, NBEC began training providers and birthing facilities on ways they could be more equitable in delivering care to Black and Brown birthing people.īut with every step forward it became clear that to truly solve the Black maternal mortality crisis, this fight must be fought on several different fronts. A major aspect of this work has included raising awareness of the crises and offering actionable solutions. Recognizing that ensuring better care for Black babies had to start with better care for Black mamas, NBEC expanded its mission to focus more on the mother’s experience along with baby’s in hopes of creating safe and healthy conditions for both moms and their babies. Joia Crear-Perry witnessed the disparities experienced by Black women and birthing people, as well as children dying during childbirth and the postnatal period. Established in 2015, National Birth Equity Collaborative (NBEC) was created to combat the increasing rate of infant mortality within the most marginalized populations-Black and Brown people.
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