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open access

Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea

Description: This article investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak.
Date: May 5, 2020
Creator: Park, Han Woo; Park, Sejung & Chong, Miyoung
Partner: UNT College of Information

Deep Learning Methods to Investigate Online Hate Speech and Counterhate Replies to Mitigate Hateful Content

Description: Hateful content and offensive language are commonplace on social media platforms. Many surveys prove that high percentages of social media users experience online harassment. Previous efforts have been made to detect and remove online hate content automatically. However, removing users' content restricts free speech. A complementary strategy to address hateful content that does not interfere with free speech is to counter the hate with new content to divert the discourse away from the hate. In … more
This item is restricted from view until June 1, 2025.
Date: May 2023
Creator: Albanyan, Abdullah Abdulaziz
Partner: UNT Libraries
open access

Racism Detection by Analyzing Differential Opinions Through Sentiment Analysis of Tweets Using Stacked Ensemble GCR-NN Model

Description: This article presents a study detecting Tweets that contain racist text by performing the sentiment analysis of Tweets. The proposed GCR-NN model can detect 97% of the tweets that contain racist comments.
Date: January 18, 2022
Creator: Lee, Ernesto; Rustam, Furqan; Washington, Patrick Bernard; El Barakaz, Fatima; Aljedaani, Wajdi & Ashraf, Imran
Partner: UNT College of Engineering

Determining Event Outcomes from Social Media

Description: An event is something that happens at a time and location. Events include major life events such as graduating college or getting married, and also simple day-to-day activities such as commuting to work or eating lunch. Most work on event extraction detects events and the entities involved in events. For example, cooking events will usually involve a cook, some utensils and appliances, and a final product. In this work, we target the task of determining whether events result in their expected o… more
Date: May 2020
Creator: Murugan, Srikala
Partner: UNT Libraries

John Lewis Twitter Dataset

Description: This dataset contains Twitter JSON data for several Twitter search queries that were collected following the death on July 17, 2020, of American politician and civil-rights leader John Lewis, who served in the United States House of Representatives for Georgia's 5th congressional district from 1987 until his death. This dataset was created using the twarc (https://github.com/DocNow/twarc) package that makes use of Twitter's search API. A total of 6,870,881 Tweets and 42,055 media files make up … more
Date: 2020-07-10/2020-08-10
Creator: Phillips, Mark Edward
Partner: UNT Libraries

Hydroxychloroquine Twitter Dataset

Description: This dataset contains Twitter JSON data for several Twitter search queries that were collected related to the drug hydroxychloroquine and its relationship as an effective coronavirus treatment. This dataset was created to capture the opinions on Twitter after a group of people calling themselves "America’s Frontline Doctors" released a video sharing misleading claims about the virus and the drugs use as an effective treatment. This dataset was created using the twarc (https://github.com/DocNow/… more
Date: 2020-07-20/2020-08-11
Creator: Phillips, Mark Edward
Partner: UNT Libraries

[Tweet regarding UNT Fall 2020 tuition]

Description: Screenshot of a response to a tweet by the University of North Texas. The original tweet asks a trivia question about a location on campus, and the response tweet reads "Adjust FALL 202 tuition for unusable facilities and amenities. No one should have to pay for something they don't have the access or ability to use."
Date: July 1, 2020
Creator: Zapatero, Victoria
Partner: UNT Libraries Special Collections
open access

Temporal Variations and Spatial Disparities in Public Sentiment Toward COVID-19 and Preventive Practices in the United States: Infodemiology Study of Tweets

Description: Article discusses how, during the COVID-19 pandemic, US public health authorities and county, state, and federal governments recommended or ordered certain preventative practices, such as wearing masks, to reduce the spread of the disease. The purpose of this study was to understand the variations in public sentiment toward COVID-19 and the recommended or ordered preventive practices from the temporal and spatial perspectives, as well as how the variations in public sentiment are related to geo… more
Date: December 30, 2021
Creator: Kahanek, Alexander; Yu, Xinchen; Hong, Lingzi; Cleveland, Ana D., 1943- & Philbrick, Jodi
Partner: UNT College of Information

ERCOT/2021 Texas Power Crisis Twitter Dataset

Description: This dataset contains Twitter JSON data for Tweets related to the This dataseic Reliability Countil of Texas (ERCOT) during the 2021 Texas power crisis from February 10th, thru February 27th, 2021. The dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 612,082 Tweets make up the combined dataset.
Date: 2021-02-09/2021-02-24
Creator: Phillips, Mark Edward
Partner: UNT Libraries

#DiaperDon Twitter Dataset

Description: This dataset contains Twitter JSON data for Tweets related to the hashtag #DiaperDon. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 866,987 Tweets make up the combined dataset.
Date: 2020-11-18/2020-12-01
Creator: Phillips, Mark Edward
Partner: UNT Libraries

Hurricane Ida Twitter Dataset

Description: This dataset contains Twitter JSON data for Tweets related to Hurricane Ida which was a deadly and distructive Category 4 Atlantic hurricane that made landfall in Lousiana in 2021. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 1,868,703 Tweets make up the combined dataset.
Date: 2021-08-20/2021-09-22
Creator: Phillips, Mark Edward
Partner: UNT Libraries

[Tweet regarding UNT's response to COVID-19]

Description: Screenshot of a tweet from Twitter user @selyngholm criticizing the University of North Texas's response to the COVID-19 pandemic. The tweet specifically mentions the university's decision to continue holding football games and marching band rehearsals. Two replies are visible in the screenshot.
Date: September 6, 2020
Creator: Hatch, Hannah
Partner: UNT Libraries Special Collections

Twitter and the Affordance of Public Agenda-Setting: A Case Study of #MarchForOurLives

Description: In the traditional agenda-setting theory, the agenda-setters were the news media and the public has a minimal role in the process of agenda-setting, which makes the public a passive receiver located at the bottom in the top-down agenda-setting dynamics. This study claims that with the development of Information communication technologies, primarily social media, the networked public may be able to set their own agendas through connective actions, outside the influence of the news media agenda. … more
Date: August 2020
Creator: Chong, Mi Young
Partner: UNT Libraries

Global Sentiment Towards COVID-19 on Twitter

Description: Twitter is one of the major social media platforms highlighting public opinion. With over 330 million users across the globe, Twitter provides insights into global sentiments on many topics. One can estimate global sentiments towards certain events relating to COVID-19 by analyzing the most common phrases and their related sentiment scores from Twitter API data. This project has compiled the most used trigrams in tweets relating to COVID-19 to calculate sentiment scores for the period from Mar… more
Date: December 2020
Creator: Auroni, Neil
Partner: UNT College of Information
open access

An Investigation of Differences in Sentiment from Tweets Related to COVID-19 Between Canada and US Residents

Description: This study aims to understand how individuals communicated and acknowledged to COVID-19 pandemic on Twitter. It mainly focused on identifying and demonstrating the differences in the perspective of United States and Canadian residents.
Date: December 2020
Creator: Gone, Keshava Pallavi & Conrad, Colin
Partner: UNT College of Information

Hurricane Laura Twitter Dataset

Description: This dataset contains Twitter JSON data for Tweets related to Hurricane Laura that formed August 20, 2020 and dissipated August 29, 2020. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 1,168,178 Tweets make up the combined dataset.
Date: 2020-08-18/2020-09-02
Creator: Phillips, Mark Edward
Partner: UNT Libraries

Ruth Bader Ginsburg Remembrance Twitter Dataset

Description: This dataset contains Twitter JSON data for Tweets related to the passing of Ruth Bader Ginsburg on September 18, 2020. This dataset was created using the twarc (https://github.com/edsu/twarc) package that makes use of Twitter's search API. A total of 4,195,270 Tweets make up the combined dataset.
Date: 2020-09-10/2020-10-04
Creator: Phillips, Mark Edward
Partner: UNT Libraries

Crowdsourcing German Twitter

Description: Presentation for the IIPC General Assembly and Web Archiving Conference held on May 10-12, 2023 in Hilversum, Netherlands. This drop-in talk introduces a crowdsourcing project hosted by the German National Library to download and archive German language tweets.
Date: May 11, 2023
Creator: Woldering, Britta
Partner: International Internet Preservation Consortium
open access

Analyzing influence of COVID-19 on crypto & financial markets and sentiment analysis using deep ensemble model

Description: Article describes how COVID-19 affected the world's economy severely and increased the inflation rate in both developed and developing countries. This study performs an analysis of the impact of COVID-19 on public opinion and sentiments regarding the financial markets and crypto markets.
Date: September 28, 2023
Creator: Washington, Patrick Bernard; Gali, Pradeep; Rustam, Furqan & Ashraf, Imran
Partner: UNT College of Engineering

Social Exchange Theory in the Context of X (Twitter) and Facebook Social Media Platforms with a Focus on Privacy Concerns among Saudi Students

Description: The current research examines the use of social media and its security settings using the Social Exchange Theory (SET) within a Saudi student environment. This research includes an introduction, literature review, methodology, results, and conclusion with the results section presenting the findings from the three essays. The first essay employs the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) methodology of SET. PRISMA's systematic and exhaustive approach to liter… more
This item is restricted from view until January 1, 2026.
Date: December 2023
Creator: Alqahtani, Sameer Mohammed S.
Partner: UNT Libraries
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