Social and Behavioral Sciences Commons^™

Twitter Activity Of Urban And Rural Colleges: A Sentiment Analysis Using The Dialogic Loop, Eugene H. Pons

FIU Electronic Theses and Dissertations

The purpose of the present study is to ascertain if colleges are achieving their ultimate communication goals of maintaining and attracting students through their microblogging activity, which according to Dialogic Loop Theory, is directly correlated to the use of positive and negative sentiment. The study focused on a cross-section of urban and rural community colleges within the United States to identify the sentiment score of their microblogging activity. The study included a content analysis on the Twitter activity of these colleges. A data-mining process was employed to collect a census of the tweets associated with these colleges. Further processing was …

Twitter And Academic Urology In The United States And Canada: A Comprehensive Assessment Of The Twitter-Verse In 2019., Thenappan Chandrasekar, Hanan Goldberg, Zachary Klaassen, Christopher J. Wallis, Joon Yau Leong, Spencer Liem, Seth Teplitsky, Rodrigo Noorani, Stacy Loeb

Department of Urology Faculty Papers

OBJECTIVE: To provide the first comprehensive analysis of the Twitter-verse amongst academic urologists and programs in North America.

METHODS: Using national accreditation and individual program websites, all active urology residency programs (USA & Canada) and academic Urology faculty at these programs were identified. Demographic data for each program (AUA section, resident class size) and physician (title, fellowship training, Scopus H-index and citations) were documented. Twitter metrics (Twitter handle, date joined, # tweets, # followers, # following, likes) for programs and physicians were catalogued (data capture: March-April 2019). Descriptive analyses and temporal trends in Twitter utilization amongst programs and physician were …

Do Firms Manage Their Csr Reputation? Evidence From Twitter, Richard M. Crowley, Wenli Huang, Hai Lu, Wei Luo

Research Collection School Of Accountancy

Using a machine learning approach to process 11 million tweets posted by S&P 1500 firms from 2011 through 2016, we find that poor CSR performance firms tweet more about CSR activities and use tweets that are shorter, and with more passive voice and extreme tone. Good CSR performance firms tweet less about CSR, yet gain twice more followers per CSR tweet than poor CSR performance firms. Good CSR performance firms also experience a greater decrease in institutional ownership along with higher increases in bid-ask spread and stock return volatility after joining Twitter than do poor CSR performance firms. Our findings …

We Tweet Arabic; I Tweet English: Self-Concept, Language And Social Media, Justin Thomas, A. Al-Shehhi, M. Al-Ameri, Ian Grey

All Works

© 2019 The Authors Differences in self-concept have been observed across cultures. Participants from collectivist societies tend to describe themselves using social and relational attributes (mother, student, Arab) more frequently than their individualist counterparts, who tend to rely more heavily on personal attributes (fun, tall, beautiful). Much of this past research has relied on relatively small samples of college students, tasked with spontaneously reporting self-concepts in classroom settings. The present study re-examines these ideas using data extracted from Twitter, the popular social media platform. In analysis one, the Twitter biographies of individuals exclusively posting messages in English (N = 500) …

View, Like, Comment, Post: Analyzing User Engagement By Topic At 4 Levels Across 5 Social Media Platforms For 53 News Organizations, Kholoud K. Aldous, Jisun An, Bernard J. Jansen

Research Collection School Of Computing and Information Systems

We evaluate the effects of the topics of social media posts on audiences across five social media platforms (i.e., Facebook, Instagram, Twitter, YouTube, and Reddit) at four levels of user engagement. We collected 3,163,373 social posts from 53 news organizations across five platforms during an 8month period. We analyzed the differences in news organization platform strategies by focusing on topic variations by organization and the corresponding effect on user engagement at four levels. Findings show that topic distribution varies by platform, although there are some topics that are popular across most platforms. User engagement levels vary both by topics and …

Fixing The Sic: Preventing And Managing Self-Inficted Crises, Andrew S. Pyle

Publications

Social media platforms provide channels for both individuals and organizations to engage with global audiences. A successful social media message can reach millions and shape the way the public views a particular person, group, or cause. As organizations become more engaged with the public through social media platforms, a new area of organizational risk has also developed. It is possible for an organization to create a self-inflicted crisis through the unintentional transmission of a poorly worded or ill-conceived social media message. This type of self-induced crisis event creates organizational conflict that must be managed quickly. This chapter explores three cases …

Trumps Social Media – The First 100 Days Of His Presidency: A Content Analysis, Priscilla L. Flores, Louis K. Falk, Douglas Stoves

Communication Faculty Publications and Presentations

More than any time in history technology allows politicians to directly reach large audiences to increase interaction. Modern social media permits information to be more accessible, direct, and permanent. Politicians can address audiences more frequently and directly through mobile devices - a tactic which creates a perception of immediacy unseen in past political climates. Specifically, Twitter grants unfiltered communication with users, while bypassing established mainstream media. The use of Twitter politically was first revolutionized by Barak Obama. Donald Trump’s use of Twitter has elevated this social media platform to an unheard-of level. A content analysis was conducted on President Donald …

Automatic Misogyny Detection In Social Media: A Survey, John Cardiff, Elena Shushkevich

Conference Papers

This article presents a survey of automated misogyny identification techniques in social media, especially in Twitter. This problem is urgent because of the high speed at which messages on social platforms grow and the widespread use of offensive language (including misogynistic language) in them. In this article we survey approaches proposed in the literature to solve the problem of misogynistic message recognition. These include classical machine learning models like Sup-port Vector Machine, Naive Bayes, Logistic Regression and ensembles of different classical machine learning models and deep neural networks such as Long Short-term memory and Convolutional Neural Networks. We consider results …

Using Twitter To Support Reflective Learning In An Asynchronous Online Course, Tian Luo, Smruti J. Shah, Helen Crompton

Teaching & Learning Faculty Publications

The purpose of this study was to further our understanding of the use of Twitter for promoting reflective learning. Specifically, this study investigated how students participate in Twitter-supported activities, what type of knowledge are manifested when Twitter is used to reflect on the course readings, and how students perceive the Twitter-supported activities. The data showed that Twitter was successful in keeping the learners engaged in the reflective discussion activities for a prolonged period compared to Blackboard. Students overall had a positive perception towards the integration of Twitter to support reflection and discussion along with active participation. Twitter was effective in …

The Global Disinformation Order: 2019 Global Inventory Of Organised Social Media Manipulation, Samantha Bradshaw, Philip N. Howard

Copyright, Fair Use, Scholarly Communication, etc.

Executive Summary

Over the past three years, we have monitored the global organization of social media manipulation by governments and political parties. Our 2019 report analyses the trends of computational propaganda and the evolving tools, capacities, strategies, and resources.

1. Evidence of organized social media manipulation campaigns which have taken place in 70 countries, up from 48 countries in 2018 and 28 countries in 2017. In each country, there is at least one political party or government agency using social media to shape public attitudes domestically.

2.Social media has become co-opted by many authoritarian regimes. In 26 countries, computational propaganda …

Applying A Modified Technology Acceptance Model To Qualitatively Analyse The Factors Affecting Microblogging Integration, Tian Luo, David Richard Moore, Teresa Franklin, Helen Crompton

STEMPS Faculty Publications

The purpose of this research is to examine factors affecting students’ perception and engagement of microblogging integration using a qualitative approach. We employed a qualitative case study design to explore potential factors affecting microblogging integration in a hybrid course. Using the technology acceptance model (TAM) model as an umbrella framework, we examined through in-depth interviews with 18 participants the impact of microblogging integration into instruction that affected students’ reported use and perceptions of their microblogging-supported learning experiences. We found that individual differences, system characteristics, social influence and facilitating conditions all have impact on student participation and engagement in microblogging integration …