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Sifting robotic from organic text: A natural language approach for detecting automation on Twitter., , , , , and . J. Comput. Sci., (2016)Network Meta-Metrics: Using Evolutionary Computation to Identify Effective Indicators of Epidemiological Vulnerability in a Livestock Production System Model., , , , , , , and . J. Artif. Soc. Soc. Simul., (2019)Vaporous Marketing: Uncovering Pervasive Electronic Cigarette Advertisements on Twitter., , , , , , and . CoRR, (2015)Using Digital Field Experiments To Elicit Risk Mitigation Behavioral Strategies For Disease Management Across Agricultural Production Systems., , , , , , , , , and . CoRR, (2019)Effects of Social Cues on Biosecurity Compliance in Livestock Facilities: Evidence from Experimental Simulations., , , , , , and . CoRR, (2019)A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter., , , , , , and . CoRR, (2018)Measuring climate change on Twitter using Google's algorithm: perception and events., , , , , and . Int. J. Web Inf. Syst., 11 (4): 527-544 (2015)Identifying missing dictionary entries with frequency-conserving context models., , , , and . CoRR, (2015)Sifting Robotic from Organic Text: A Natural Language Approach for Detecting Automation on Twitter., , , , , and . CoRR, (2015)Zipf's law holds for phrases, not words., , , , , , and . CoRR, (2014)