Social and Behavioral Sciences Commons^™

Sports Under Quarantine: A Case Study Of Major League Baseball In 2020, Kari L.J. Goold, Reynafe N. Aniga, Peter B. Gray

Anthropology Faculty Research

© 2020 by the authors. Licensee MDPI, Basel, Switzerland. This case study entailed a Twitter content analysis to address the pandemic-delayed start to Major League Baseball (MLB) in the shortened 2020 season. This case study helps address the overarching objective to investigate how the sports world, especially fans, responded to MLB played during the 2020 COVID-19 pandemic. The methods investigated the common themes and determined who used predetermined Twitter hashtags. We recorded how many times external links, photos, emojis, and the 30 MLB teams were mentioned in the 779 tweets obtained during 39 days of data retrieval. Results showed that …

Measuring Influence On Twitter, Daniela B. Martinez

Publications and Research

A survey took in MAT 1372 about students' opinions on Twitter showed that most of them assumed that if a Twitter account has more followers, it will receive more likes or replies. However, accounts can buy followers, and followers do not necessarily mean engagement. In this paper, we used Twitter because it is a significant player in social media, but we can measure influence without using Twitter's follower count. We took a reference from Meeyoung Cha's article "The Million Follower Fallacy," which has demonstrated that the Twitter follower count is a meaningless metric in determining influence. To measure influence, a …

#Metoo: Why Twitter Doesn't Do Enough, Tara Mann

Student Scholar Symposium Abstracts and Posters

In 2017 actress Alyssa Milano sparked the #MeToo movement as most people know it today. Unbeknownst to many, however, a black woman named Tarana Burke began the Me Too movement a decade earlier after working with survivors of sexual assault. As more and more injustice through discrimination comes to light, it is important to recognize privilege where it exists and what it allows to happen. This project is an analysis of the rhetoric of the #MeToo movement that aims to prove that this privilege is the problem with the movement. I intend to demonstrate how the use of Twitter to …

Web 2.0 Tools In Indian University Libraries, Asifa Ali, Mariya Nabi Miss, Sumeer Gul Dr., Rumysa Jan Miss

Library Philosophy and Practice (e-journal)

Web is intrinsically a global medium. Web has grown from a group work tool for scientists at CERN into a global information space more than billion users. Currently it is both as a read, write tool as well as a more social and participatory platform. The continuously changing trends have led to enter a new, improved web version 2.0.It is actually just an extension of the original ideas of the web. The web 2.0 has gained substantial momentum in the last decade. The influence of web 2.0 principles and technologies has fuelled an explosion of information and media content on …

Impact Of Journalists’ Twitter Use On Their Perceptions Of Job Performance In The Pakistani Context, Muhammad Arif, Maqsood Ahmad Shaheen, Saima Kanwal (Corresponding Author), Miguel Baptista Nunes

Library Philosophy and Practice (e-journal)

Purpose –This study investigated factors affect the use of Twitter by Pakistani journalists and to what extent Twitter usage impact on their job performance.

Design/methodology/approach –This study opted for a quantitative survey research design. The theoretical lens used in this study was the Theory of Planned Behavior (TPB), extended to include the impact of Twitter usage on job performance. A pilot-tested structured questionnaire was used to collect data from the journalists working in the mainstream media houses of Pakistan.

Findings – The study’s findings revealed that the majority of the journalists leveraged the platform for tweeting and to read tweets. …

Misinformation More Likely To Use Non-Specific Authority References: Twitter Analysis Of Two Covid-19 Myths, Joseph Mcglynn, Maxim Baryshevtsev, Zane A. Dayton

Communication Graduate Research

This research examines the content, timing, and spread of COVID-19 misinformation and subsequent debunking efforts for two COVID-19 myths. COVID-19 misinformation tweets included more non-specific authority references (e.g., “Taiwanese experts”, “a doctor friend”), while debunking tweets included more specific and verifiable authority references (e.g., the CDC, the World Health Organization, Snopes). Findings illustrate a delayed debunking response to COVID-19 misinformation, as it took seven days for debunking tweets to match the quantity of misinformation tweets. The use of non-specific authority references in tweets was associated with decreased tweet engagement, suggesting the importance of citing specific sources when refuting health misinformation.

Law Library Blog (September 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Assessing The Reliability Of Relevant Tweets And Validation Using Manual And Automatic Approaches For Flood Risk Communication, Xiaohui Liu, Bandana Kar, Francisco Alejandro Montiel Ishino, Chaoyang Zhang, Faustine Williams

Faculty Publications

© 2020 by the authors. While Twitter has been touted as a preeminent source of up-to-date information on hazard events, the reliability of tweets is still a concern. Our previous publication extracted relevant tweets containing information about the 2013 Colorado flood event and its impacts. Using the relevant tweets, this research further examined the reliability (accuracy and trueness) of the tweets by examining the text and image content and comparing them to other publicly available data sources. Both manual identification of text information and automated (Google Cloud Vision, application programming interface (API)) extraction of images were implemented to balance accurate …

Law Library Blog (August 2020): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu

Research Collection School Of Accountancy

Using an unsupervised machine learning approach to analyze 12.8 million tweets posted by S&P 1500 firms from 2012 to 2016, we find that firms tweet more financial information around significantly negative or positive earnings announcements or accounting filings. Specifically, we observe a symmetric U-shaped relation between the number of financial tweets and the materiality of accounting information events. This relation is consistent with the theoretical prediction in Hummel et al. (2018) which assumes that managers are sensitive to their firm’s fundamental value. We document that this relation also holds for hyperlink usage in tweets about financial information around important events, …

Phytochemistry Literature: An Altmetrics Analysis, Radhakrishnan S, Baskaran C

Library Philosophy and Practice (e-journal)

This article analyses the articles on Phytochemistry Literature with the tools of Altmetric. For this study, 10 articles on phytochemistry literature were taken for the analysis. This study also compares the Citations received by a publication against the Altmetric score. The study shows that the most of the Publications are shared by the social media Twitter. Moreover readers prefer to read the articles through Reference Manager Mendeley. The study discovers that there is a moderate correlation between Citation and Altmetric Score. Only one paper obtains citation and Altmetric score equally. Another paper gets citation and Altmetric score in near equal. …

Differences Between Teacher-Focused Twitter Hashtags And Implications For Professional Development, Spencer P. Greenhalgh

Information Science Faculty Publications

Twitter hashtags may serve as valuable means for teachers' professional development. However, given the diversity of hashtag spaces and teacher needs, teachers must assess a given hashtag and compare it to their learning needs and preferences before determining whether it would be helpful. To support this reflection, I examine data associated with 60 Regional Educational Twitter Hashtags (RETHs) during the first six months of 2016 to begin describing the variety of teacher learning-focused Twitter spaces and make distinctions between them. My results indicate that these RETHs vary according to their relative focus on sharing, intimacy of personal connection, and volume …

A Content Analysis Of Rachel Held Evans’ Impact Through Her Virtual Community Of Faith, Maddie Christy

English and Journalism Student Works

This research discusses the impact of Rachel Held Evans’ life, work, and death on her virtual community of faith. Evans’ work as a writer and theologian in the progressive evangelical Christian world was analyzed in this study through the Twitter hashtag #becauseofRHE, a space that emerged on Twitter after her death to commemorate how she had impacted followers’ lives. In addition to an outpouring of grief the hashtag presented three key impacts: radical inclusiveness, accepting and encouraging doubts, and helping followers keep their faith in God and the Church.

Blurring Boundaries: Exploring Tweets As A Legitimate Journalism Artifact, Zhaoxi Liu, D. Berkowitz

Communication Faculty Research

This study explores journalists’ use of Twitter and what it means for their craft. Based on 8 weeks newsroom observation and more than a dozen in-depth interviews with reporters and editors at a big metro newspaper, the study found that journalists had contradicting views on whether or not to accept tweets, a form of snippet artifact, as a legitimate journalism artifact, leading to the blurring artifact boundary. Related, journalists faced uncertainties and ambiguities regarding the implications of such snippet artifact for the journalism craft and its core mission of informing the public.

"Bad Hombres" And The Bully Pulpit: A Study Of Presidential Rhetoric On Social Media And Behavioral Responses Of The Immigrant Population, Mary Vlamis

Honors Scholar Theses

For years, social scientists have studied the impact of presidential rhetoric on public opinion and consumer behavior. This paper adds to the literature on presidential rhetoric by investigating how presidential statements on social media change public behavior in a reaction to these statements. President Trump's immigration policy tweets are used to examine if there is a relationship between the president's statements and changes in behavior using and Google searches. I find no relationship between the instance of a President Trump’s tweet and changes in searching for related topics among both large immigrant populations and Trump supporters.

Covid-19: Economic Recovery, Twitter, And Public Perception Of Las Vegas, Mary Blankenship, Caitlin Saladino, William E. Brown Jr.

Economic Development & Workforce

This Fact Sheet analyzes responses posted on Twitter following an interview conducted by CNN reporter Anderson Cooper, who interviewed Carolyn Goodman, Mayor of the City of Las Vegas, concerning the re-opening of the Las Vegas economy during the COVID-19 pandemic.

Prototyping A Social Media Flooding Photo Screening System Based On Deep Learning, Zhenlong Li Huan Ning, Michael E. Hodgson, Cuizhen Wang

Faculty Publications

This article aims to implement a prototype screening system to identify flooding-related photos from social media. These photos, associated with their geographic locations, can provide free, timely, and reliable visual information about flood events to the decision-makers. This screening system, designed for application to social media images, includes several key modules: tweet/image downloading, flooding photo detection, and aWebGIS application for human verification. In this study, a training dataset of 4800 flooding photos was built based on an iterative method using a convolutional neural network (CNN) developed and trained to detect flooding photos. The system was designed in a way that …

Exploring Crisis Communication And Information Dissemination On Social Media: Social Network Analysis Of Hurricane Irma Tweets, Xianlin Jin

Communication Graduate Research

This study utilized social network analysis to identify the top 10 Twitter influentials during the Hurricane Irma crisis period and examined the relationship between social media attributes and the bridge influence of controlling information flow. The number of a user’s followers and tweets significantly predicted one’s control of information. Crisis information tended to be shared in scattered subgroups. Social network boundaries impeded information diffusion, and the communication pattern was largely one-way. The findings partially supported the opinion leader argument while indicating that influentials can directly generate information, which is consistent with the social-mediated crisis communication model. Such findings will contribute …

Brexit: Psychometric Profiling The Political Salubrious Through Machine Learning: Predicting Personality Traits Of Boris Johnson Through Twitter Political Text, James Usher, Pierpaolo Dondio

Conference papers

Whilst the CIA have been using psychometric profiling for decades, Cambridge Analytica showed that people's psychological characteristics can be accurately predicted from their digital footprints, such as their Facebook or Twitter accounts. To exploit this form of psychological assessment from digital footprints, we propose machine learning methods for assessing political personality from Twitter. We have extracted the tweet content of Prime Minster Boris Johnson’s Twitter account and built three predictive personality models based on his Twitter political content. We use a Multi-Layer Perceptron Neural network, a Naive Bayes multinomial model and a Support Machine Vector model to predict the OCEAN …

Twitter And Research: A Systematic Literature Review Through Text Mining, Amir Karami, Morgan Lundy, Frank Webb, Yogesh K. Dwivedi

Faculty Publications

Researchers have collected Twitter data to study a wide range of topics. This growing body of literature, however, has not yet been reviewed systematically to synthesize Twitter-related papers. The existing literature review papers have been limited by constraints of traditional methods to manually select and analyze samples of topically related papers. The goals of this retrospective study are to identify dominant topics of Twitter-based research, summarize the temporal trend of topics, and interpret the evolution of topics withing the last ten years. This study systematically mines a large number of Twitter-based studies to characterize the relevant literature by an efficient …

How Misinformation Spreads Through Twitter, Mary Blankenship

Student Research

While living in the age of information, an inherent drawback to such high exposure to content lends itself to the precarious rise of misinformation. Whether it is called “alternative facts,” “fake news,” or just incorrect information, because of its pervasiveness in nearly every political and policy discussion, the spread of misinformation is seen as one of the greatest challenges to overcome in the 21st century. As new technologies emerge, a major piece of both content creation and the perpetuation of misinformation are social media platforms like Twitter, Facebook, and YouTube. As news events emerge, whether be a pandemic, a mass …

The Use Of Mobile Social Technology As Transitional Objects Impact On Personality Functioning, Peter Gleiberman

Antioch University Dissertations & Theses

The purpose of this dissertation is to examine the impact unlimited connectivity and unlimited access to voice, text, and video communication as well as multimedia content consumption through mobile social technology has on personality integration. The increased use of mobile social technology has changed how the user engages social relationships. Through mobile social technology, the user places importance in an inanimate object for engagement of social relationships. A reliance on the inanimate object as a social relationship is thought to compromise the ability to internalize integrated object relations and develop stable personality organization. This theoretical research uses hermeneutic analysis of …