Open Access. Powered by Scholars. Published by Universities.®

Computer Engineering Commons

Open Access. Powered by Scholars. Published by Universities.®

Articles 1 - 11 of 11

Full-Text Articles in Computer Engineering

The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin Jan 2024

The Impact Of Social Media On Charitable Giving For Nonprofit Organization, Namchul Shin

Journal of International Technology and Information Management

Research has extensively studied nonprofit organizations’ use of social media for communications and interactions with supporters. However, there has been limited research examining the impact of social media on charitable giving. This research attempts to address the gap by empirically examining the relationship between the use of social media and charitable giving for nonprofit organizations. We employ a data set of the Nonprofit Times’ top 100 nonprofits ranked by total revenue for the empirical analysis. As measures for social media traction, i.e., how extensively nonprofits draw supporters on their social media sites, we use Facebook Likes, Twitter Followers, and Instagram …


News’ Credibility Detection On Social Media Using Machine Learning Algorithms, Farah Yasser, Sayed Abdelmawgoud, Amira M. Idrees Ami Jul 2023

News’ Credibility Detection On Social Media Using Machine Learning Algorithms, Farah Yasser, Sayed Abdelmawgoud, Amira M. Idrees Ami

Future Computing and Informatics Journal

Social media is essential in many aspects of our lives. Social media allows us to find news for free. anyone can access it easily at any time. However, social media may also facilitate the rapid spread of misleading news. As a result, there is a probability that low-quality news, including incorrect and fake information, will spread over social media. As well as detecting news credibility on social media becomes essential because fake news can affect society negatively, and the spread of false news has a considerable impact on personal reputation and public trust. In this research, we conducted a model …


Evaluation Of Different Machine Learning, Deep Learning And Text Processing Techniques For Hate Speech Detection, Nabil Shawkat Jan 2023

Evaluation Of Different Machine Learning, Deep Learning And Text Processing Techniques For Hate Speech Detection, Nabil Shawkat

MSU Graduate Theses

Social media has become a domain that involves a lot of hate speech. Some users feel entitled to engage in abusive conversations by sending abusive messages, tweets, or photos to other users. It is critical to detect hate speech and prevent innocent users from becoming victims. In this study, I explore the effectiveness and performance of various machine learning methods employing text processing techniques to create a robust system for hate speech identification. I assess the performance of Naïve Bayes, Support Vector Machines, Decision Trees, Random Forests, Logistic Regression, and K Nearest Neighbors using three distinct datasets sourced from social …


Book Review: This Is How They Tell Me The World Ends: The Cyberweapons Arms Race (2020) By Nicole Perlroth, Amy C. Gaudion Jan 2022

Book Review: This Is How They Tell Me The World Ends: The Cyberweapons Arms Race (2020) By Nicole Perlroth, Amy C. Gaudion

Dickinson Law Review (2017-Present)

No abstract provided.


Analyzing Social Media Implementation In Hospitals In The U.S. Midwest Region, Dalsang Chung, C. Christopher Lee, David Hwang Jan 2021

Analyzing Social Media Implementation In Hospitals In The U.S. Midwest Region, Dalsang Chung, C. Christopher Lee, David Hwang

Journal of International Technology and Information Management

The purpose of this research is to explore to what scale hospitals are adopting social media and implementing it in accordance with hospital characteristics. We reviewed hospitals’ social media activities on social networking sites such Facebook, Twitter, Instagram, and YouTube. We studied the 912 hospitals in the Midwest region reported in the 2015 American Hospital Association Annual Survey dataset. We reviewed each hospital’s social-networking page to understand the scale of social media adoption relative to the hospital’s characteristics such as bed count, state, ownership type (control), and specialty (service). We also considered whether the hospital is in a network and …


Communication Through Social Technologies: A Study Of Israeli Women, Jeretta Horn Nord 405-747-0320, Dafni Biran Achituv, Joanna Paliszkiewicz Jan 2017

Communication Through Social Technologies: A Study Of Israeli Women, Jeretta Horn Nord 405-747-0320, Dafni Biran Achituv, Joanna Paliszkiewicz

Journal of International Technology and Information Management

Social technologies have changed the way we communicate allowing users to interact, share knowledge, reach out to friends and family, keep up with the news, and even promote and support a business. A study of Israeli women was conducted to determine how social technologies platforms — Facebook, Twitter, LinkedIn, YouTube, and Google+ — are used and the benefits realized. Women worldwide face challenges including economic, educational, health, and political. Israel women, like women in every other country in the world, are challenged with gender inequity. Do women who use social technologies believe that these platforms provide empowerment leading to greater …


How We Got Here: Connectivity, Creativity, Confluence And Internet Culture, Tziporah Stern, Linda Wieser Friedman, Hershey H. Friedman Jan 2017

How We Got Here: Connectivity, Creativity, Confluence And Internet Culture, Tziporah Stern, Linda Wieser Friedman, Hershey H. Friedman

Journal of International Technology and Information Management

There are more innovations today than at any time in human history. The companies that value creativity and diversity of ideas in their hires are the ones most likely to thrive. Indeed, the key asset of a corporation is the abilities, innovativeness, and creativity of its employees. The authors construct a timeline of critical events leading up to today’s highly networked and interconnected world with its ubiquitous social media technologies. The current state has been influenced by advances in media, technology, military defense, and commerce. One trend that stands out in this timeline is the increasing rate of change. It …


Effects Of Training Datasets On Both The Extreme Learning Machine And Support Vector Machine For Target Audience Identification On Twitter, Siaw Ling Lo, David Cornforth, Raymond Chiong Dec 2014

Effects Of Training Datasets On Both The Extreme Learning Machine And Support Vector Machine For Target Audience Identification On Twitter, Siaw Ling Lo, David Cornforth, Raymond Chiong

Research Collection School Of Computing and Information Systems

The ability to identify or predict a target audience from the increasingly crowded social space will provide a company some competitive advantage over other companies. In this paper, we analyze various training datasets, which include Twitter contents of an account owner and its list of followers, using features generated in different ways for two machine learning approaches - the Extreme Learning Machine (ELM) and Support Vector Machine (SVM). Various configurations of the ELM and SVM have been evaluated. The results indicate that training datasets using features generated from the owner tweets achieve the best performance, relative to other feature sets. …


The Virtual Learning Commons (Vlc): Enabling Sharing And Innovation For Flexible, Responsive Solutions, Deana D. Pennington, Alida Gándara, Nick Del Rio, Omar Ochoa Jun 2014

The Virtual Learning Commons (Vlc): Enabling Sharing And Innovation For Flexible, Responsive Solutions, Deana D. Pennington, Alida Gándara, Nick Del Rio, Omar Ochoa

International Congress on Environmental Modelling and Software

A key challenge in modeling of complex natural systems is identifying and integrating models and tools that are relevant, but were not developed for the targeted purpose. Modeling resources are proliferating, along with emerging technologies designed to enable discovery and integration of data and models. The goal of the Virtual Learning Commons (VLC) is to improve awareness and understanding of emerging methodologies and technologies, facilitate individual and group evaluation of these for innovative uses, and trace the impact of innovations across research communities. The VLC is funded by the U.S. National Science Foundation, and will be released in 2014. The …


Semantic Geotagging: A Location-Based Hypermedia Approach To Creating Situational Awareness, Ray Bareiss, Martin Griss, Steven Rosenberg, Yu Zhang Sep 2011

Semantic Geotagging: A Location-Based Hypermedia Approach To Creating Situational Awareness, Ray Bareiss, Martin Griss, Steven Rosenberg, Yu Zhang

Ray Bareiss

As emergency first responders and commanders increasingly use mobile phones, tablets, and social media to communicate, coordinate, and manage information during disasters, we see a need and opportunity to provide a mobile device-appropriate semantic layer to a geographically-based common operating picture. The challenge is to provide a simple, usable structure for a rapidly growing body of information to simplify the development of situational awareness in an unfolding disaster. We use a hyperlinked structure based on the ASK model to organize information in a readily accessible form. In this paper we describe our initial design and experience with an Android-based prototype, …


Semantic Geotagging: A Location-Based Hypermedia Approach To Creating Situational Awareness, Ray Bareiss, Martin Griss, Steven Rosenberg, Yu Zhang Sep 2011

Semantic Geotagging: A Location-Based Hypermedia Approach To Creating Situational Awareness, Ray Bareiss, Martin Griss, Steven Rosenberg, Yu Zhang

Martin L Griss

As emergency first responders and commanders increasingly use mobile phones, tablets, and social media to communicate, coordinate, and manage information during disasters, we see a need and opportunity to provide a mobile device-appropriate semantic layer to a geographically-based common operating picture. The challenge is to provide a simple, usable structure for a rapidly growing body of information to simplify the development of situational awareness in an unfolding disaster. We use a hyperlinked structure based on the ASK model to organize information in a readily accessible form. In this paper we describe our initial design and experience with an Android-based prototype, …