Computational Linguistics Commons^™

Content-Based Unsupervised Fake News Detection On Ukraine-Russia War, Yucheol Shin, Yvan Sojdehei, Limin Zheng, Brad Blanchard

SMU Data Science Review

The Ukrainian-Russian war has garnered significant attention worldwide, with fake news obstructing the formation of public opinion and disseminating false information. This scholarly paper explores the use of unsupervised learning methods and the Bidirectional Encoder Representations from Transformers (BERT) to detect fake news in news articles from various sources. BERT topic modeling is applied to cluster news articles by their respective topics, followed by summarization to measure the similarity scores. The hypothesis posits that topics with larger variances are more likely to contain fake news. The proposed method was evaluated using a dataset of approximately 1000 labeled news articles related …

Chatgpt As Metamorphosis Designer For The Future Of Artificial Intelligence (Ai): A Conceptual Investigation, Amarjit Kumar Singh (Library Assistant), Dr. Pankaj Mathur (Deputy Librarian)

Library Philosophy and Practice (e-journal)

Abstract

Purpose: The purpose of this research paper is to explore ChatGPT’s potential as an innovative designer tool for the future development of artificial intelligence. Specifically, this conceptual investigation aims to analyze ChatGPT’s capabilities as a tool for designing and developing near about human intelligent systems for futuristic used and developed in the field of Artificial Intelligence (AI). Also with the helps of this paper, researchers are analyzed the strengths and weaknesses of ChatGPT as a tool, and identify possible areas for improvement in its development and implementation. This investigation focused on the various features and functions of ChatGPT that …

Technology In The Classroom: The Features Language Teachers Should Consider, Sophie Cuocci, Padideh Fattahi Marnani

Journal of English Learner Education

The fast development of technology and the new generation of highly computer literate students led to consider the integration of technology in school as essential. Throughout the last two decades, research has identified multiple factors leading to the successful and unsuccessful integration of technology in the classroom. Educators must consider these factors when deciding on which technology tools to use and how to integrate them to their lessons. Simultaneously, the increasing number of English learners in the United States calls for the identification of teaching strategies that will best support their needs. Many language teachers now rely on teaching techniques …

The Stained Glass Of Knowledge: On Understanding Novice Mental Models Of Computing, Briana Christina Bettin

Dissertations, Master's Theses and Master's Reports

Learning to program can be a novel experience. The rigidity of programming can be at odds with beginning programmer's existing perceptions, and the concepts can feel entirely unfamiliar. These observations motivated this research, which explores two major questions: What factors influence how novices learn programming? and How can analogy by more appropriately leveraged in programming education?

This dissertation investigates the factors influencing novice programming through multiple methods. The CS1 classroom is observed as a "whole system", with consideration to the factors present in it that can influence the learning process. Learning's cognitive processes are elaborated to ground exploration into specifically …

Latent Semantic Indexing In The Discovery Of Cyber-Bullying In Online Text, Jacob L. Bigelow

Computer Science Summer Fellows

The rise in the use of social media and particularly the rise of adolescent use has led to a new means of bullying. Cyber-bullying has proven consequential to youth internet users causing a need for a response. In order to effectively stop this problem we need a verified method of detecting cyber-bullying in online text; we aim to find that method. For this project we look at thirteen thousand labeled posts from Formspring and create a bank of words used in the posts. First the posts are cleaned up by taking out punctuation, normalizing emoticons, and removing high and low …

Detection Of Cyberbullying In Sms Messaging, Bryan W. Bradley

Computer Science Summer Fellows

Cyberbullying is a type of bullying that uses technology such as cell phones to harass or malign another person. To detect acts of cyberbullying, we are developing an algorithm that will detect cyberbullying in SMS (text) messages. Over 80,000 text messages have been collected by software installed on cell phones carried by participants in our study. This paper describes the development of the algorithm to detect cyberbullying messages, using the cell phone data collected previously. The algorithm works by first separating the messages into conversations in an automated way. The algorithm then analyzes the conversations and scores the severity and …

Cell Phone Ethnography: Mixed Methods And The Brand Consumer Relationship, Robert Nathaniel Dove

Masters Theses

Overall, the goal of this study is to identify and differentiate the various motivations and cultural influences that can be used to explain consumer behavior. In doing so, this study hopes to facilitate the development of new and innovative marketing strategies, providing a new research design for the ethnographer’s toolkit. More importantly, this model can give shape to new constructs and new variables for further empirical testing in the field through quantitative and qualitative methods. By blending the two approaches, using qualitative interpretive anthropological analysis by field study with quantitative sentiment analysis adapted from market researcher Jeffery Breen’s (2012) methodology, …

New Trends In Automatic Assessment: Ontology Matching, Maria Mitina, Patricia Magee, John Cardiff

Conference Papers

Instant individual feedback represents a result of assessment which allows for considerable improvements in both teaching and learning. In this paper we present the application of ontology matching techniques in automatic correction of students’ answers for SQL tests, which will provide teachers with instant feedback to facilitate manual correction and marking and which they can pass to the students. Students experience many problems learning SQL due to the necessity to memorise database schemas, unclear feedback from the database engine on the execution of the query, etc. The program environment utilising the described approach is designed to solve the abovementioned problems …

Personal Sense And Idiolect: Combining Authorship Attribution And Opinion Analysis, Polina Panicheva, John Cardiff, Paolo Rosso

Conference Papers

Subjectivity analysis and authorship attribution are very popular areas of research. However, work in these two areas has been done separately. We believe that by combining information about subjectivity in texts and authorship, the performance of both tasks can be improved. In the paper a personalized approach to opinion mining is presented, in which the notions of personal sense and idiolect are introduced and used for polarity classification task. The results of applying the personalized approach to opinion mining are presented, confirming that the approach increases the performance of the opinion mining task. Automatic authorship attribution is further applied to …