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- All Subjects: Social Media
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- Creators: Barrett, The Honors College
- Member of: Barrett, The Honors College Thesis/Creative Project Collection
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Description
Lie detection is used prominently in contemporary society for many purposes such as for pre-employment screenings, granting security clearances, and determining if criminals or potential subjects may or may not be lying, but by no means is not limited to that scope. However, lie detection has been criticized for being subjective, unreliable, inaccurate, and susceptible to deliberate manipulation. Furthermore, critics also believe that the administrator of the test also influences the outcome as well. As a result, the polygraph machine, the contemporary device used for lie detection, has come under scrutiny when used as evidence in the courts. The purpose of this study is to use three entirely different tools and concepts to determine whether eye tracking systems, electroencephalogram (EEG), and Facial Expression Emotion Analysis (FACET) are reliable tools for lie detection. This study found that certain constructs such as where the left eye is looking at in regard to its usual position and engagement levels in eye tracking and EEG respectively could distinguish between truths and lies. However, the FACET proved the most reliable tool out of the three by providing not just one distinguishing variable but seven, all related to emotions derived from movements in the facial muscles during the present study. The emotions associated with the FACET that were documented to possess the ability to distinguish between truthful and lying responses were joy, anger, fear, confusion, and frustration. In addition, an overall measure of the subject's neutral and positive emotional expression were found to be distinctive factors. The implications of this study and future directions are discussed.
ContributorsSeto, Raymond Hua (Author) / Atkinson, Robert (Thesis director) / Runger, George (Committee member) / W. P. Carey School of Business (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Global violent conflict has become an increasing problem in recent decades, especially in the African continent. Civil wars, terrorism, riots, and political violence has wrought havoc not only on civilian lives, but also on economic foundations. Trade networks are a way to measure these economic foundations. To summarize trade networks clustering coefficient as well as trade quantity/value summation measures are used. To understand effects of global trade on violent conflict, Pearson product-moment correlations are utilized. This work details a comparison of African national economies and violent conflict events using clustering coefficient, trade summation measures and Pearson correlation coefficient.
ContributorsKadambi, Sagarika Sanjay (Author) / Maciejewski, Ross (Thesis director) / Shutters, Shade (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
Social media is used by people every day to discuss the nuances of their lives. Major League Baseball (MLB) is a popular sport in the United States, and as such has generated a great deal of activity on Twitter. As fantasy baseball continues to grow in popularity, so does the research into better algorithms for picking players. Most of the research done in this area focuses on improving the prediction of a player's individual performance. However, the crowd-sourcing power afforded by social media may enable more informed predictions about players' performances. Players are chosen by popularity and personal preferences by most amateur gamblers. While some of these trends (particularly the long-term ones) are captured by ranking systems, this research was focused on predicting the daily spikes in popularity (and therefore price or draft order) by comparing the number of mentions that the player received on Twitter compared to their previous mentions. In doing so, it was demonstrated that improved fantasy baseball predictions can be made through leveraging social media data.
ContributorsRuskin, Lewis John (Author) / Liu, Huan (Thesis director) / Montgomery, Douglas (Committee member) / Morstatter, Fred (Committee member) / Industrial, Systems (Contributor, Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
Description
My thesis is an experiment in the power of social media and networking. The compelling question is: How can we as journalists motivate people to connect with Facebook/blog postings enough to share them with their own networks? This is a huge issue with journalism because it is a challenge to move people and to get them to share information.
My thesis project took the form of a networking blog for adoptable animals at the local pound. I created unique photos of the dogs and wrote up bios for them so that they became more accessible to people who could not physically visit the shelter very often. I brought the dogs to life by sharing a part of their story and encouraging people to care about what happened to them. This issue is especially close to my heart because I have loved animals all my life and started fostering dogs a few years ago.
The project was a huge success. I profiled 37 dogs and they amassed hundreds of thousands of views both on my Wordpress site and on the project Facebook page. Five of my dogs were euthanized, about a 13% euthanasia rate. Compared to the owner surrender euthanasia rate of previous years, this rate is remarkably low. In 2012, about 43.86% of owner surrenders were euthanized. In 2013, about 39.19% of owner surrenders were euthanized. In 2014, about 33.27% of owner surrenders were euthanized. My euthanasia rate was essentially less than half of the last year’s owner surrender euthanasia rate.
I think I absolutely proved my point. The power of networking in unique ways and leveraging the influence of social media cannot be underestimated. Less dogs were killed because of my project. If that’s not success, then I don’t know what is.
My thesis project took the form of a networking blog for adoptable animals at the local pound. I created unique photos of the dogs and wrote up bios for them so that they became more accessible to people who could not physically visit the shelter very often. I brought the dogs to life by sharing a part of their story and encouraging people to care about what happened to them. This issue is especially close to my heart because I have loved animals all my life and started fostering dogs a few years ago.
The project was a huge success. I profiled 37 dogs and they amassed hundreds of thousands of views both on my Wordpress site and on the project Facebook page. Five of my dogs were euthanized, about a 13% euthanasia rate. Compared to the owner surrender euthanasia rate of previous years, this rate is remarkably low. In 2012, about 43.86% of owner surrenders were euthanized. In 2013, about 39.19% of owner surrenders were euthanized. In 2014, about 33.27% of owner surrenders were euthanized. My euthanasia rate was essentially less than half of the last year’s owner surrender euthanasia rate.
I think I absolutely proved my point. The power of networking in unique ways and leveraging the influence of social media cannot be underestimated. Less dogs were killed because of my project. If that’s not success, then I don’t know what is.
ContributorsTotten, Emma Kathleen (Author) / Jean-Thornton, Leslie (Thesis director) / Roschke, Kristy (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
History shows that baseball and media have a very close relationship, but the advantages of social media are proving to come at a cost to traditional media (The Business Insider). Baseball was invented around the same time the the penny press brought newspapers to a larger audience in the 1830s (Brazeal 405), followed by radio entering its discovery years as it carried games to people who lived far away from ballparks. Radio also brought games to life to women and children, as well as those who owned cars (Walker, 7). In 1939, baseball was aired on television for the first time (Koppett). By 1991 when the World Wide Web was brought to the public, baseball was ready to take on digital media. Take it to Twitter, Baseball studies the relationship between baseball and social media, focusing specifically on Twitter. Working with social media presents unique opportunities to reach, interact and engage with younger demographics. Using 2,683 Tweets collected through a history provided by 4 MLB teams, insights like Tweet interactions, Tweet success, media type, and categorized Tweet types are used to understand what it means to use social media well, and why it would come at a cost to traditional media. Content containing promotional material, specifically with giveaways, was found to be more successful in comparison to player and team focused Tweets. Levels of activity were determined and factored into how it relates to Tweet Success. Average Retweets per Retweet were also calculated to determine what results an average Tweet of a specific type should expect to receive. Overall, baseball will continue using any form of media that benefits their conglomerate looking for profits. With so many sponsors to satisfy, baseball will want to keep every tool at their disposal. However, with social media providing deeper analytics and insights into who their fanbase is, as well as allowing them to reach who they want their fanbase to be, it could come at a cost to traditional media.
ContributorsRex, Stevi Danielle (Author) / Doig, Steve (Thesis director) / Dawson, Clifton (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
E-commerce has rapidly become a mainstay in today's economy, and many websites have built themselves around providing a platform for independent sellers. Sites such as Etsy, Storenvy, Redbubble, and Society6 are increasingly popular options for anyone looking to open their own online store. With this project, I attempted to examine the effects of four different marketing techniques on sales in an online store. I opened a shop on Etsy and tracked sales in connection with promotion through social media, selling products in-person at a convention, holding a holiday tie-in sale, and using price anchoring. Social media accounts were opened on Facebook, Tumblr, and Instagram to promote the shop over the course of the project period, and Etsy's web analytics were used to track which sites directed the most traffic to the shop. I attended a convention in mid-January 2016 where I sold my products and distributed business cards with a discount code to track sales resulting from being at the convention. A holiday sale was held in conjunction with Valentine's Day to look at whether holidays influenced purchases. Lastly, a significantly more expensive product was temporarily put in the shop to see whether it produced a price anchoring effect \u2014 that is, encouraged sales of the less expensive products by making them seem affordable in comparison. While the volume of sales data was too small to draw statistically significant conclusions, the project was a highly instructive experience in the process of opening a small online store. The decision-making steps outlined may be helpful to other students looking to open their own online shop.
ContributorsChen, Candice Elizabeth (Author) / Moore, James (Thesis director) / Sanford, Adriana (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This paper presents work that was done to create a system capable of facial expression recognition (FER) using deep convolutional neural networks (CNNs) and test multiple configurations and methods. CNNs are able to extract powerful information about an image using multiple layers of generic feature detectors. The extracted information can be used to understand the image better through recognizing different features present within the image. Deep CNNs, however, require training sets that can be larger than a million pictures in order to fine tune their feature detectors. For the case of facial expression datasets, none of these large datasets are available. Due to this limited availability of data required to train a new CNN, the idea of using naïve domain adaptation is explored. Instead of creating and using a new CNN trained specifically to extract features related to FER, a previously trained CNN originally trained for another computer vision task is used. Work for this research involved creating a system that can run a CNN, can extract feature vectors from the CNN, and can classify these extracted features. Once this system was built, different aspects of the system were tested and tuned. These aspects include the pre-trained CNN that was used, the layer from which features were extracted, normalization used on input images, and training data for the classifier. Once properly tuned, the created system returned results more accurate than previous attempts on facial expression recognition. Based on these positive results, naïve domain adaptation is shown to successfully leverage advantages of deep CNNs for facial expression recognition.
ContributorsEusebio, Jose Miguel Ang (Author) / Panchanathan, Sethuraman (Thesis director) / McDaniel, Troy (Committee member) / Venkateswara, Hemanth (Committee member) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Every day, millions of messages are posted across various social media channels, creating a golden opportunity for diligent stock traders. This "big data" can be overwhelming, yet incredibly powerful when analyzed properly. The Effect of Social Media on Stock Prices uncovers the ways in which social media messages can trigger abnormal stock price movements, and provides insight into how traders can utilize this information. These findings are organized into a step-by-step action plan that allows traders to formulate trading plans using data from social media channels. This action plan is fueled by an in-depth look at the stock market and social media industries, an analysis of the most important social media channels and messages, and case studies that took place during the duration of this project. This data may used to enable traders to focus on the right messages from the right sources at the right times. By developing the proper criteria for finding, filtering, and analyzing appropriate social media messages, traders can gain an edge in the stock market and increase their profitability.
ContributorsAndrews, Joshua (Author) / Giles, Bret (Thesis director) / Denning, Michael (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor)
Created2015-05
Description
This project is a strategic online media proposal for aBloom Salon. In order to provide the salon with a successful social media proposal, there must be an analysis of the current situation informed by secondary and primary research. aBloom in Latin means transformation; this salon specializes in holistic beauty. At this salon all the products are organic, natural and raw. They use a non-toxic ammonia-free color line and have a Raw Beauty Bar where clients can create all-natural custom products. This proposal aims to increase aBloom Salon's brand awareness in the most effective way possible. The project started by analyzing the salon's website, Facebook page and Instagram content and following-up with recommendations for improvement. In addition to that analysis, research was conducted on current clients to gage their social media habits and purpose for using social media. Salon owner, Alejandra Martinez, currently averages 20 to 30 clients a week and said she would like to increase to 25 to 35 clients a week. Martinez was promoting her salon through her website, word-of-mouth, Facebook, Yelp, Instagram and cross-promoting efforts with likeminded businesses.
ContributorsHashemian, Sepeedeh (Author) / Wu, Xu (Thesis director) / Roschke, Kristy (Committee member) / Barrett, The Honors College (Contributor) / School of Community Resources and Development (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2015-05
Description
The purpose of this project was to establish a digital and social media presence to support a personal fitness trainer and d�TERRA essential oils wellness advocate in growing her health and wellness businesses. The first portion explores the role of digital and social media tools for health and wellness professionals. It incorporates use of both secondary and primary research methods including focus groups and in-depth interviews. The second portion is a campaign proposal that serves as a creative response to the research and findings of the first portion. The proposal includes recommendations for strategic use of new brand building and social networking tools such as a personal website, Facebook, Twitter, LinkedIn and About.Me pages. It also offers collateral material for brand outreach, social media calendars and a 10-page social media guidebook offering suggestions on how to strategically implement the campaign elements.
ContributorsNichols, Emily Jaye (Author) / Wu, Xu (Thesis director) / Roschke, Kristy (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2015-05