Matching Items (2)
Description
The purpose of this creative project is to develop an Android application which teaches English speakers Sakha language. Sakha is the language of indigenous people of Sakha Republic in Russia's Far East region. There are approximately half of a million Sakha people. Creating Learn Sakha app will be useful for English speakers, who are descendants of Sakha but live in English-speaking countries, to learn Sakha language. For the application development, I utilized Android Studio environment and Java as the programming language. Additionally, I saved quiz questions in the JSON file to allow further scalability. Question class was created to hold the values extracted from JSON file. Also, I used Intents and SharedPrefences for saving user data. Progress bar, buttons, and onClick sound effects were used to enhance user experience. I shared the Learn Sakha app at different stages of development with my friends to gather user feedback. Overall, I learned how to create an application on Android Studio, improved my Java and troubleshooting skills. As the result of this creative project, I was able to develop a working Android application with four lessons, each with three stages. Currently, there are 16 Sakha words can be learned from the application. Repetition principle was used to improve learning of new words. I am planning to further develop Learn Sakha app as an open source project and attract developers, linguists, and designers to advance the improvements. Furthermore, this app can be extended to learn Sakha from Russian and be shared with other small languages, currently neglected by large language-learning platforms.
ContributorsEverstova, Rozaliya (Author) / Sipka, Danko (Thesis director) / Ahmad, Altaf (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Social media is explosively popular in discussing socio-political issues. This work provides a preliminary study on how polarization occurs online. Chapter I begins by introducing limitations of the internet in maintaining a free flow of information. Not only do users seek out groups of like-minded individuals and insulate themselves from opposing views, social media platforms algorithmically curate content such that it will be in line with a user’s preconceived notions of the world. The work then defines polarization and carefully discusses its most prominent causes. It then shifts focus to analyze a closely-related issue regarding political discourse: outrage, which is both a noticeable effect of and further cause of polarization. It is clearly prevalent in traditional media, but for completion, I provide a case study to measure its incidence in social media. In Chapter II, I scrutinize the language used in the #MeToo movement on Twitter and draw conclusions about the issues Twitter users focus on and how they express their views. This chapter details the method I used, the challenges I faced in designing the exploratory study, and the results I found. I benchmark patterns I find in the Twitterverse against those I find in The Wall Street Journal. The analysis relies upon the metric of word similarity, based on proximity of and frequency of words used together, to make distinctions about what users are most commonly saying with respect to given topics, or keywords. Chapter III closes the essay with conclusions of socio-political polarization, discourse, and outrage in social media. Finally, the essay outlines potential channels for future work.
ContributorsJain, Niharika (Author) / Simhony, Avital (Thesis director) / Lewis, Paul (Committee member) / Computer Science and Engineering Program (Contributor, Contributor) / School of Politics and Global Studies (Contributor) / Department of Information Systems (Contributor) / School of International Letters and Cultures (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05