Murmuration is a nonprofit organization focused on leveraging civic engagement to drive greater equity. We are committed to transforming public education so that every child – regardless of who they are or where they live – can benefit from the same opportunities afforded by a quality education. We provide sophisticated tools, data, strategic guidance, and programmatic support to help our partner organizations increase civic engagement and marshal support to drive change at the community level. Our best-in-class data and easy-to-use tools have been used by hundreds of organizations to make informed decisions about who they need to reach and how to achieve and sustain impact – and to put those decisions into action. Our team includes experts and innovators in data, analytics, and strategy.

Sarcasm Detection has enjoyed great interest from the research community, however the task of predicting sarcasm in a text remains an elusive problem for machines. Past studies mostly make use of twitter datasets collected using hashtag based supervision but such datasets are noisy in terms of labels and language. To overcome these shortcoming, we introduce a new dataset which contains news headlines from a sarcastic news website and a real news website. Next, we propose a hybrid Neural Network architecture with attention mechanism which provides insights about what actually makes sentences sarcastic. Through experiments, we show that the proposed model improves upon the baseline by ~ 5% in terms of classification accuracy.