Kimberly Glasgow

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Social media offer a real-time, unfiltered view of how disasters affect communities. Crisis response, disaster mental health, and—more broadly—public health can benefit from automated analysis of the public's mental state as exhibited on social media. Our focus is on Twitter data from a community that lost members in a mass shooting and another(More)
Semantic textual similarity (STS) systems are designed to encode and evaluate the semantic similarity between words, phrases, sentences, and documents. One method for assessing the quality or authenticity of semantic information encoded in these systems is by comparison with human judgments. A data set for evaluating semantic models was developed consisting(More)
In the aftermath of disasters, communities struggle to recover from the physical and emotional tolls of the event, often without needed social support. Social media may serve to bridge the distance between the affected community and those outside who are willing to offer support. This exploratory study uses Twitter as a lens for examining gratitude for(More)
A total of 9928 cimetidine users were identified from prescriptions in four centres and followed for 10 years. The 'all-cause' mortality ratio fell from 1.9 in year 1 to 1.0 in years 8 to 10. Most ofthe early excess in mortality was attributable to cimetidine being given in the late stages of many diseases, often to counter adverse gastric effects of other(More)
Disasters have devastating effects on communities, which struggle to recover without sufficient social support. This exploratory study uses Twitter as a lens for examining gratitude for support provisions in the aftermath of disasters. Gratitude for support is examined in the context of two major disasters in the United States, the 2012 mass shooting at(More)
In the aftermath of a traumatic mass casualty event, a community's resources are strained, while its needs for tangible, emotional, and informational support are elevated. Social media may serve to bridge the distance between the locally affected community and those outside who are willing to offer support. This exploratory study uses Twitter as a lens for(More)