Arabia Felix 2.0: A Cross-Linguistic Twitter Analysis Of Happiness Patterns In The United Arab Emirates, Aamna Al Shehhi, Justin Thomas, Roy Welsch, Ian Grey, Zeyar Aung

All Works

© 2019, The Author(s). The global popularity of social media platforms has given rise to unprecedented amounts of data, much of which reflects the thoughts, opinions and affective states of individual users. Systematic explorations of these large datasets can yield valuable information about a variety of psychological and sociocultural variables. The global nature of these platforms makes it important to extend this type of exploration across cultures and languages as each situation is likely to present unique methodological challenges and yield findings particular to the specific sociocultural context. To date, very few studies exploring large social media datasets have focused …

@Houstonpolice: An Exploratory Case Of Twitter During Hurricane Harvey, Seungwon Yang, Brenton Stewart

Faculty Publications

Abstract

Purpose

The purpose of this paper is to examine the Houston Police Department (HPD)’s public engagement efforts using Twitter during Hurricane Harvey, which was a large-scale urban crisis event.

Design/methodology/approach

This study harvested a corpus of over 13,000 tweets using Twitter’s streaming API, across three phases of the Hurricane Harvey event: preparedness, response and recovery. Both text and social network analysis (SNA) techniques were employed including word clouds, n-gram analysis and eigenvector centrality to analyze data.

Findings

Findings indicate that departmental tweets coalesced around topics of protocol, reassurance and community resilience. Twitter accounts of governmental agencies, such as …

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 …

Social-Transportation Analytic Toolbox (Stat) For Transit Networks, Xiaoyue Cathy Liu, Qian Zuo, Shenruoyang Na, Ran Wei, Aaron Golub, Liming Wang, Jake Davis

TREC Final Reports

This project builds an open-source, socio-transportation analytic (STAT) toolbox for public transit system planning in an effort to integrate social media and general transit feed specification (GTFS) data for transit agencies in evaluating and enhancing the performance of public transit systems. This toolbox is novel and essential to transit agencies in two aspects. First, it enables the integration, analysis and visualization of two major, new open transportation data, social media and GTFS data, to support transit decision-making. Second, it allows transit agencies to evaluate service network efficiency and access equity of transit systems in a cohesive manner, and identify areas …

Leveraging Twitter And Machine Learning For Real-Time Transit Network Evaluation, Xiaoyue Cathy Liu, Qian Zuo, Shenruoyang Na, Ran Wei, Aaron Golub, Liming Wang, Jake Davis

TREC Project Briefs

With today’s profusion of open data sources and real-time feeds, transit agencies have an unparalleled opportunity to leverage large amounts of data to improve transit service. Thanks to NITC researchers, there is now an open-source tool for that.

The new Social-Transportation Analytic Toolbox (STAT) for Transit Networks, developed by researchers at the University of Utah and Portland State University, is a dynamic platform that combines Twitter, general transit feed specification (GTFS), and census transportation planning products (CTPP)—in this case, job density data—to help agencies evaluate overall system performance and identify connectivity gaps. It can also act as a decision support …

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) …

Comparing The Spatial And Temporal Activity Patterns Between Snapchat, Twitter And Flickr In Florida, Levente Juhasz, Hartwig H. Hochmair

GIS Center

Social media services generate enormous amounts of spatiotemporal data that can be used to characterize and analyse user activities and social behaviour. Although crowdsourced data have the advantage of comprehensive spatial and temporal coverage compared to data collected in more traditional ways, the various social media platforms target different user groups, which leads to user selection bias. Since data from social media platforms are used for a variety of geospatial applications, understanding such differences and their implications for analysis results is important for geoscientists. Therefore, this research analyses differences in spatial and temporal contribution patterns to three online platforms, namely …

Analysis Of Flickr, Snapchat, And Twitter Use For The Modeling Of Visitor Activity In Florida State Parks, Hartwig H. Hochmair, Levente Juhasz

GIS Center

Spatio-temporal information attached to social media posts allows analysts to study human activity and travel behavior. This study analyzes contribution patterns to the Flickr, Snapchat, and Twitter platforms in over 100 state parks in Central and Northern Florida. The first part of the study correlates monthly visitor count data with the number of Flickr images, snaps, or tweets, contributed within the park areas. It provides insight into the suitability of these different social media platforms to be used as a proxy for the prediction of visitor numbers in state parks. The second part of the study analyzes the spatial distribution …

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 …

Twitter And Disasters: A Social Resilience Fingerprint, Benjamin A. Rachunok, Jackson B. Bennett, Roshanak Nateghi

Purdue University Libraries Open Access Publishing Fund

Understanding the resilience of a community facing a crisis event is critical to improving its adaptive capacity. Community resilience has been conceptualized as a function of the resilience of components of a community such as ecological, infrastructure, economic, and social systems, etc. In this paper, we introduce the concept of a “resilience fingerprint” and propose a multi-dimensional method for analyzing components of community resilience by leveraging existing definitions of community resilience with data from the social network Twitter. Twitter data from 14 events are analyzed and their resulting resilience fingerprints computed. We compare the fingerprints between events and show that …

Where Have All The Good Tweets Gone? An Examination Of The Information Policies At Play In Twitter Archiving, Georgia Westbrook

School of Information Studies - Post-doc and Student Scholarship

In 2010, the Library of Congress started archiving every public Tweet after receiving a “starter” archive of Tweets from the first four years of Twitter’s existence (2006- 2010); however, the Library could not keep up with the volume of Tweets being produced, so it halted the program at the beginning of 2018.

With changes in data harvesting and mining technologies, the ultimate goal of the project — archiving every Tweet — may be realized in the near future. As a result, it is necessary to examine the policies in place, alongside the issues which informed them, and those policies which …

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 …

Bot Literacy: Teaching Librarians To Make Twitter Bots, Mark E. Eaton, Robin Camille Davis

Publications and Research

No abstract provided.

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 …

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 …

Web Archives At The Nexus Of Good Fakes And Flawed Originals, Michael L. Nelson

Computer Science Faculty Publications

[Summary] The authenticity, integrity, and provenance of resources we encounter on the web are increasingly in question. While many people are inured to the possibility of altered images, the easy accessibility of powerful software tools that synthesize audio and video will unleash a torrent of convincing “deepfakes” into our social discourse. Archives will no longer be monopolized by a countable number of institutions such as governments and publishers, but will become a competitive space filled with social engineers, propagandists, conspiracy theorists, and aspiring Hollywood directors. While the historical record has never been singular nor unmalleable, current technologies empower an unprecedented …

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 …

Comparative Analysis Of Twitter Analytics Of Ifla And Oclc Tweets Using Union Metrics Tweet Reach Online Tool – A Pilot Study, Stephen G

Library Philosophy and Practice (e-journal)

Twitter Analytics provides information that can help create meaningful tweets that will resonate with the target audience. Many businesses and professionals use Twitter to connect with and connect with their customers and colleagues. Benefits of Twitter include reaching out to a wider audience and enabling two-way communication with customers and followers. The loss involves possible negative feedback. All Twitter users can get a detailed report on their followers and personalized tweets, including impressions, clicks and engagement. This pilot study conducts to know the library and science professional association of IFLA and OCLC (OCLC is a global library cooperative that provides …