Social and Behavioral Sciences Commons^™

Conversing Or Diffusing Information? An Examination Of Public Health Twitter Chats, Lauren Bayliss, Yuner Zhu, King-Wa Fu, Lindsay Mullican, Ferdous Ahmeda, Hai Liang, Zion Tse, Nitin Saroha, Jingjing Yin, Isaac Fung

Department of Communication Arts Faculty Publications (1993-2022)

This study examines the one-way information diffusion and two-way dialogic engagement present in public health Twitter chats. Network analysis assessed whether Twitter chats adhere to one of the key principles for online dialogic communication, the dialogic loop (Kent & Taylor, 1998) for four public health-related chats hosted by CDC Twitter accounts. The features of the most retweeted accounts and the most retweeted tweets also were examined. The results indicate that very little dialogic engagement took place. Moreover, the chats seemed to function as pseudoevents primarily used by organizations as opportunities for creating content. However, events such as #PublicHealthChat may serve …

Executive Tweets, Richard M.Crowley, Wenli Huang, Hai Lu

Research Collection School Of Accountancy

We explore the tweeting behavior of S&P 1500 firms’ executives (CEOs and CFOs) and its market consequences during the period of 2011 to 2018. We document that executives tweet financial information related to their firms and time these tweets to firms’ major events, and that investors respond to executive tweets in addition to firm tweets. Using the latest machine learning techniques, we develop an innovative construct measuring the content similarity between executive tweets and firm tweets. We use this measure to disentangle whether the market reaction comes from new information or trust. We show evidence consistent with the view that …

Social Media Usage Among Post-Graduate Students Of Kashmir University And Relationships Between Social Media Use And Factors Relating To Depression, Javaid Ahmad Wagay, Dr Pc Sehgal

Library Philosophy and Practice (e-journal)

COVID-19 and the resulting stay-at-home orders have changed just about everything, including our relationship with the internet, how often we use it and how we use it. For instance, in India 87 % people reported increase in its usage with 75 % spending increasing amount of time on Facebook, Twitter and WhatsApp (Business Today, March 30, 2020 ). This study examined the use of social media PG Students of Kashmir university . The main objectives of the study are to find out the reasons why PG Students use social media, to identify students’ perception of social media, and to find …

Tweets R Us: Predicting Personality From Language And Emoji Use On Twitter, Maxwell Meckling, Sarah Shoup, D. E. Chan-Tin, Shelia Kennison

Computer Science: Faculty Publications and Other Works

The research investigated the suggestion from prior research that language and emojis use on Twitter and other social media platforms can predict users’ personality and gender (Adali et al., 2014; Golbeck et al., 2011; Li et al., 2019; Moreno et al., 2019; Raess, 2018). Some studies have also analyzed Twitter language to identify individuals with specific health conditions (e.g., alcohol recovery, Golbeck, 2012; sleep problems, Suarez et al., 2018).

If strategies to predict Twitter users’ characteristics prove to be successful, future efforts to direct persuasive messages related to recommended practices in public health and/or cybersecurity will be possible. Commercial applications …

Does Active Service Intervention Drive More Complaints On Social Media? The Roles Of Service Quality And Awareness, Shujing Sun, Yang Gao, Huaxia Rui

Research Collection School Of Computing and Information Systems

Despite many advantages of social media as a customer service channel, there is a concern that active service intervention encourages excessive service complaints. Our paper casts doubt on this misconception by examining the dynamics between social media customer complaints and brand service interventions. We find service interventions indeed cause more complaints, yet this increase is driven by service awareness rather than chronic complaining. Due to the publicity and connectivity of social media, customers learn about the new service channel by observing customer service delivery to others – a mechanism that is unique to social media customer service and does not …

Revealing Public Opinion Towards Covid-19 Vaccines With Twitter Data In The United States: Spatiotemporal Perspective, Tao Hu, Siqin Wang, Wei Luo, Mengxi Zhang, Xiao Huang, Yingwei Yan, Regina Liu, Kelly Ly, Viraj Kacker, Bing She, Zhenlong Li

Faculty Publications

Background: The COVID-19 pandemic has imposed a large, initially uncontrollable, public health crisis both in the United States and across the world, with experts looking to vaccines as the ultimate mechanism of defense. The development and deployment of COVID-19 vaccines have been rapidly advancing via global efforts. Hence, it is crucial for governments, public health officials, and policy makers to understand public attitudes and opinions towards vaccines, such that effective interventions and educational campaigns can be designed to promote vaccine acceptance.

Objective:The aim of this study was to investigate public opinion and perception on COVID-19 vaccines in the United …

#Thesistuesday At University Of The Pacific, Michele Gibney

University Libraries Librarian and Staff Presentations

In 2020, the institutional repository manager who also had responsibilities over the social media accounts for the library, decided to attempt a year-long experiment titled #ThesisTuesday, a weekly social media campaign to promote ETDs and connect with campus stakeholders, researchers, and readers. At the time, the library had two social media student assistants who were tasked with sourcing images for the 52 chosen ETDs completed during 2020. The repository manager then used an online graphic creation tool, Canva to create a template for each ETD, plug in an image and swap out titles/authors. She also created short links for …

Twitter Ban In Nigeria: Implications On Economy, Freedom Of Speech And Information Sharing, Wisdom Okereke Anyim

Library Philosophy and Practice (e-journal)

This paper explored the implications of Twitter ban in Nigeria on economy, freedom of speech and information sharing. The study utilized mass media and legal documents to determine the opinion of the government officials, religious leaders, industrial experts, international organizations, legal experts and IT-based business specialists on the ban. It was discovered that Twitter ban infringes on the rights of the people to freedom of expression, access and sharing of information. It was discovered that the ban affected economy so badly that its effects have resulted to bridges on information flow between business associates, losses of jobs, investment hostilities and …

Odt Flow: Extracting, Analyzing, And Sharing Multi-Source Multi-Scale Human Mobility, Zhenlong Li, Xiao Huang, Tao Hu, Huan Ning, Xinyue Ye, Binghu Huang, Xiaoming Li

Faculty Publications

In response to the soaring needs of human mobility data, especially during disaster events such as the COVID-19 pandemic, and the associated big data challenges, we develop a scalable online platform for extracting, analyzing, and sharing multi-source multi-scale human mobility flows. Within the platform, an origin-destination-time (ODT) data model is proposed to work with scalable query engines to handle heterogenous mobility data in large volumes with extensive spatial coverage, which allows for efficient extraction, query, and aggregation of billion-level origin-destination (OD) flows in parallel at the server-side. An interactive spatial web portal, ODT Flow Explorer, is developed to allow users …

Law Library Blog (August 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Measuring Global Multi-Scale Place Connectivity Using Geotagged Social Media Data, Zhenlong Li, Xiao Huang, Xinyue Ye, Yuqin Jiang, Yago Martin, Huan Ning, Michael E. Hodgson, Xiaoming Li

Faculty Publications

Shaped by human movement, place connectivity is quantified by the strength of spatial interactions among locations. For decades, spatial scientists have researched place connectivity, applications, and metrics. The growing popularity of social media provides a new data stream where spatial social interaction measures are largely devoid of privacy issues, easily assessable, and harmonized. In this study, we introduced a global multi-scale place connectivity index (PCI) based on spatial interactions among places revealed by geotagged tweets as a spatiotemporal-continuous and easy-to-implement measurement. The multi-scale PCI, demonstrated at the US county level, exhibits a strong positive association with SafeGraph population movement records …

Law Library Blog (June 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Spatiotemporal Patterns Of Human Mobility And Its Association With Land Use Types During Covid-19 In New York City, Yuqin Jiang, Xiao Huang, Zhenlong Li

Faculty Publications

The novel coronavirus disease (COVID-19) pandemic has impacted every facet of society. One of the non-pharmacological measures to contain the COVID-19 infection is social distancing. Federal, state, and local governments have placed multiple executive orders for human mobility reduction to slow down the spread of COVID-19. This paper uses geotagged tweets data to reveal the spatiotemporal human mobility patterns during this COVID-19 pandemic in New York City. With New York City open data, human mobility pattern changes were detected by different categories of land use, including residential, parks, transportation facilities, and workplaces. This study further compares human mobility patterns by …

Empirical Investigation Of The Extent Of Utilization Of Social Media For Effective Library And Information Service Delivery In Selected University Libraries In Abia State, Nigeria, Innocent O. Adayi Mr, Dogara Kudu Mr, Ishaya Lami Dutse Mrs, Nathaniel Agbo Oche Mr

Library Philosophy and Practice (e-journal)

The study empirically investigated the extent of utilization of social media for effective Library and Information Service delivery in selected university libraries in Abia State, Nigeria. five research questions guided the study. The study adopted descriptive survey research design. Using multi-stage sampling technique 350 library users and staff were sampled from the entire population. Questionnaire and Observation Checklist was the instrument for data collection constructed for the study. The data collected was analyzed using frequency distribution table, charts, percentage and mean. The findings revealed that, both ABSU, Library and MOUAU, Library has no official facebook, twitter, Instagram, WhatsApp, Nairaland, Skype, …

The Dark Side Of The Ivory Tower: Examining Incivility And Microaggressions Against Ethnic Minorities In Academia, Teresa San Hoang Nguyen

Masters Theses & Specialist Projects

Discrimination is still prevalent and pervasive in society, though there have been many attempts to mitigate its impact. Though often not as overt, “modern” discrimination is more subtle in nature, often slipping through as passable social interactions because of its ambiguity. However, the negative impact that ethnic and racial minorities experience because of this subtle discrimination cannot be ignored. In academia, as with many other workplaces, ethnic and racial minorities are impacted by subtle discrimination. During the Black Lives Matter movement that has surged in 2020 in the wake of social injustices against Black and Brown people, this issue has …

The Significance Of A Viral Post On Social Media, Kelsi Listman

Honors Projects

Social media platforms have quickly become one of the main ways for communication, especially among young adults. These platforms have provided a new field of data of interest to researchers. Popular content on social media is often referred to as “viral,” and can be posted in the format of a “meme” relating to the culture of the platform. Such content is often posted by social media influencers. This exploratory study investigates a particular instance of viral content, using Twitter data. Quantitative analyses were used to determine the frequency of tweets related to the topics of the viral video using hashtags. …

You And I: Parasocial Relationships, Social Media, And Fan Labor In The One Direction Fandom, Kathryn Meese

Honors College Theses

This study aims to analyze the ways in which fans of the band One Direction developed parasocial relationships, or one-sided, non-reciprocal relationships with media personae, through social media marketing, and to explore the economic implications of these relationships in terms of fans’ free promotional labor. At the heart of social media marketing is relationship marketing, or attracting and maintaining customer relationships, a strategy we explore here within the context of the music industry. Previous studies have explored the dynamics of online fan communities, or fandoms, and the free labor they carry out on the part of an artist, such as …

Impact Of Scholarly Articles On Social Media: An Altmetric Mapping Of University Of Calicut, Kerala-India., Haseena V K K M, Abdul Azeez T A

Library Philosophy and Practice (e-journal)

Article level metrics (Altmetrics) is a source of a wide range of metrics regarding the scholarly impact of articles by generating the statistics of usage, citations, bookmarks, social shares, attentions, and online comments on various social media and other platforms. The paper is an attempt to showcase the state of the art of the most viewed fifteen scholarly articles of the University of Calicut through various social media platforms and which were selected and ranked based on altmetric attention score in the Dimension database during January 2021. The study intends to explore the most viewable social media platforms to disseminate …

Law Library Blog (February 2021): Legal Beagle's Blog Archive, Roger Williams University School Of Law

Law Library Newsletters/Blog

No abstract provided.

Let Them Tweet Cake: Estimating Public Dissent Using Twitter, Ben O. Smith, Ethan Spangler

Economics Faculty Publications

This paper establishes a new method of estimating public dissent that is both cost-effective and adaptable. Twitter allows users to post short messages that can be viewed and shared by other users, creating a network of freely and easily observable information. Drawing data directly from Twitter, we collect tweets containing specified words and phrases from citizens voicing dissatisfaction with their government. The collected tweets are processed using a regular expression based algorithm to estimate individual dissent; which is aggregated to an overall measure of public dissent. A comparative case study of Canada and Kenya during the summer of 2016 provides …

Challenges When Identifying Migration From Geo-Located Twitter Data, Caitrin Armstrong, Ate Poorthuis, Matthew Zook, Derek Ruths, Thomas Soehl

Geography Faculty Publications

Given the challenges in collecting up-to-date, comparable data on migrant populations the potential of digital trace data to study migration and migrants has sparked considerable interest among researchers and policy makers. In this paper we assess the reliability of one such data source that is heavily used within the research community: geolocated tweets. We assess strategies used in previous work to identify migrants based on their geolocation histories. We apply these approaches to infer the travel history of a set of Twitter users who regularly posted geolocated tweets between July 2012 and June 2015. In a second step we hand-code …

Recognizing Bias In Social Media News: Resources For Teaching Media Literacy In Special Education, Melinda S. Burchard Ph.D., Lori Konopasek, Betsy Layman, Sarah Myers, Linda Poston

Faculty Educator Scholarship

With the empowerment of social media news literacy, students in special education can interact with their world with deeper competencies of critical thinking skills and civic engagement. In exploring personal and news biases, online users will have the tools to effectively grapple with the content found in their newsfeeds.

The included lesson uses current social media news stories. Students will be able to identify vocabulary communicating possible bias, including absolute words or phrases, words or phrases communicating degree, and words or phrases that are positively or negatively charged.

Fact-Checking Viral Trends For News Writers, Elizabeth M. Downey

University Libraries Publications and Scholarship

Social media is a constant in day-to-day life and is often the first place news breaks. However, the likelihood of false information being spread across social media is high, and this can affect journalists trying to do their jobs, in both gathering information and trying to achieve balance. Reporters and news writers need to be able to quickly evaluate the legitimacy of social media sources for information, especially viral posts, lest they be accused of spreading “fake news.” This chapter examines how social media has disrupted traditional news reporting and caused media outlets to tackle the audience’s opinion of them …

Re-Spatializing Gangs: An Exponential Random Graph Model Of Twitter Data To Analyze The Geospatial Distribution Of Gang Member Connections, Ryan J. Roberts

Political Science & Geography Faculty Publications

Gang studies often use location-based approaches to explain gang members’ interconnectedness. Although this perspective remains consistent with the proximity principle that the smaller the geographic space, the greater the likelihood of observing connections between individuals, location-based studies limit our understanding of gang member connections to narrowly defined geographic spaces at specific points in time. The advent of social media has re-spatialized gang member interconnectedness to unbounded geographic spaces, where the preservation of online activity can extend indefinitely. Despite having an online presence, most research examining the digital footprint of gangs tends to be descriptive. This study collects Twitter data to …

Social Media Self-Regulation And The Rise Of Vaccine Misinformation, Ana Santos Rutschman

All Faculty Scholarship

This essay examines the main characteristics and shortcomings of mainstream social media responses to vaccine misinformation and disinformation. Parts I and II contextualize the recent expansion of vaccine information and disinformation in the online environment. Part III provides a survey and taxonomy of ongoing responses to vaccine misinformation adopted by mainstream social media. It further notes the limitations of current self-regulatory modes and illustrates these limitations by presenting a short case study on Facebook—the largest social media vehicle for vaccine-specific misinformation, currently estimated to harbor approximately half of the social media accounts linked to vaccine misinformation. Part IV examines potential …

Automatic Categorization Of Lgbt User Profiles On Twitter With Machine Learning, Amir Karami, M. Lundy, F. Webb, H. R. Boyajieff, M. Zhu, D. Lee

Faculty Publications

Privacy needs and stigma pose significant barriers to lesbian, gay, bisexual, and transgender (LGBT) people sharing information related to their identities in traditional settings and research methods such as surveys and interviews. Fortunately, social media facilitates people’s belonging to and exchanging information within online LGBT communities. Compared to heterosexual respondents, LGBT users are also more likely to have accounts on social media websites and access social media daily. However, the current relevant LGBT studies on social media are not efficient or assume that any accounts that utilize LGBT-related words in their profile belong to individuals who identify as LGBT. Our …

Analysis Of Geotagging Behavior: Do Geotagged Users Represent The Twitter Population?, Amir Karami, R. R. Kadari, L. Panati, H. Bheemreddy, B. Bozorgi

Faculty Publications

Twitter’s APIs are now the main data source for social media researchers. A large number of studies have utilized Twitter data for diverse research interests. Twitter users can share their precise real-time location, and Twitter APIs can provide this information as longitude and latitude. These geotagged Twitter data can help to study human activities and movements for different applications. Compared to the mostly small-scale data samples in different domains, such as social science, collecting geotagged data offers large samples. There is a fundamental question whether geotagged users can represent non-geotagged users. While some studies have investigated the question from different …