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Full-Text Articles in Life Sciences

Animal Welfare Frames: How Social Media Messages Bridge The Gap Between The Protein Industry And Consumers, Olivia Norton Dec 2017

Animal Welfare Frames: How Social Media Messages Bridge The Gap Between The Protein Industry And Consumers, Olivia Norton

Graduate Theses and Dissertations

The two articles in this thesis used content analysis to analyze and compare animal welfare related website and Twitter content of the top five animal protein producing companies in the United States. In the first article, the animal welfare website content of Cargill, Tyson Foods Inc., Smithfield, JBS® and Sysco were analyzed for persuasive frames, common topics, and key terminology to describe their corporate positions on animal welfare. Sysco’s main page devoted to animal welfare dominated the word count with 1,045 words, while JBS®’s main animal welfare page used only 265 words to communicate the company’s views. The most commonly …


What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William L. Romine, Amit Sheth Apr 2017

What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William L. Romine, Amit Sheth

Kno.e.sis Publications

Background: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus.

Objective: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment.

Methods: A combination of natural language processing and machine learning techniques was used to determine what people were …