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Full-Text Articles in Communication Technology and New Media

Information Sharing, Transparency, And E-Governance Among County Government Offices In Southeastern Michigan, Lawrence Bosek May 2017

Information Sharing, Transparency, And E-Governance Among County Government Offices In Southeastern Michigan, Lawrence Bosek

All NMU Master's Theses

The Internet has given rise to the availability of information at our fingertips. While the public, particularly consumers, are more commonly described as being the leading users and beneficiaries of electronic information services, businesses and governments are also players in the arena for sharing official information. Information can be easily stored on Internet websites for the public, businesses, and other governmental offices to search and peruse when needed. This study examined the ease of locating county governmental information, such as contact information for public officials and financial reports, and surveyed elected county officials for purposes of identifying how information is …


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 …