Social and Behavioral Sciences Commons^™

Social Media Impacts On Arkansas Consumer Perceptions Of Gmos, Elizabeth R. Berner

Graduate Theses and Dissertations

This study builds upon previous consumer perceptions of GMOs studies. A need existed to determine what, if any, effects social media messages about GMOs had on consumer perceptions in Arkansas. The study utilized a qualitative approach with three focus groups. Data were analyzed using descriptive code. Participants were found to have a general understanding of GMOs, though discussion about what a GMO product was took an uncertain tone. Most participants did not consider GMOs as a factor when purchasing products. Rather participants considered characteristics such as price, quality, and convenience. Participants did not believe the infographics had changed their opinions …

Instagram As A Tool Of Diffusion For The Livestock Industry, Savannah Locke, Karen Hiltbrand, Katie Corbitt, Darcey Richburg, David Shannon, Soren P. Rodning, Jason T. Sawyer, Don Mulvaney

Journal of Applied Communications

Studies have shown that more people are getting their information through social media (SM). With so much misinformation presented in global media, it is difficult for consumers to distinguish what is true and what isn’t. With negative images and minimal context, consumers have a tendency to believe and trust what they see on SM. After IRB approval, a survey study was launched on Qualtrics and accessed via email. Using Instagram as platform, this study presented 5 cognitively and 5 emotionally oriented posts focused on the aspects of animal welfare, diet/health, and environment/sustainability. Prior to viewing the Instagram posts, study participants …

Utilizing Twitter To Communicate Risk After A Natural Disaster, Taylor K. Ruth, Teresa Suits, Ashley Mcleod-Morin, Ricky W. Telg

Journal of Applied Communications

Hurricane Michael hit the Florida panhandle as a category five hurricane on October 10, 2018. One of the risks after a hurricane is the spread of mosquito-borne disease due to standing floodwaters, which provide perfect breeding grounds for mosquitoes. People often turn to social media during times of crisis to receive up-to-date information. Therefore, there is a need to understand how to use social media to communicate about risks after a natural disaster. The purpose of this study was to explore how Twitter was used to communicate about mosquito control before and after Hurricane Michael and was guided by the …

The Relationship Between Social Media Engagement And Psychological Well-Being In College Students At The University Of New Hampshire, Emily G. D'Antonio

Honors Theses and Capstones

Social media use has increased substantially in recent years, and for the college-aged population, social media is often the leading method of communication. Research indicates this reliance on digital connection could have a negative impact on the health of young adults (Bagroy et al., 2017). The college years are a time of personal growth and defining actions, yet can also be burdened by mental health issues related to stress, anxiety, and depression (Hunt & Eisenberg, 2010). Acknowledging these trends, the current study explores how college students’ specific frequency and intentionality while interacting on social media relates to their psychological well-being. …

Resisting Industrial Food Systems On The Web: How Non-Profit Organizations Use Digital Technology For Sustainability Education, Aleksandr Segal

Dissertations, Theses, and Capstone Projects

This thesis examines the link between how community-based organizations use digital tools with the fundamentally resistance-based philosophy that these organizations have at the core of their mission. It aims to uncover how non-profit organizations (NPOs) that work in community development through food and agriculture use digital tools, and how their digital communication strategies relate to issues of resistance to neoliberalism and industrialization in the food and agriculture sectors.

Using a foundation of existing literature on food and agriculture, climate change and waste management, critical theory, and technology in pedagogy, this thesis will contextualize how non-profits resist neoliberal regimes of de-traditionalization …

A Sentiment And Content Analysis Of Twitter Content Regarding The Use Of Antibiotics In Livestock, Garrett M. Steede, Courtney Meyers, Nan Li, Erica Irlbeck, Sherice Gearhart

Journal of Applied Communications

On January 1, 2017, the final rule of the Veterinary Feed Directive (VFD) was put into place requiring antibiotics approved for both humans and animals to be discontinued for growth promotion. This change was brought on by the role growth promoters in livestock production play in the development of antibiotic resistance. Antibiotic resistance increases the costs associated with human health care by increasing the length of stays in the hospital and requiring more intensive medical care for patients. The purpose of this study was to explore sentiment and characteristics of social media content and the characteristics of the key influencers …

Under The Needle: Understanding The Benefits And Misconceptions Of Vaccinations, Desmond Davis

Student Writing

By and large, medical and government institutions such as the CDC have been primarily responsible for educating the public on the necessities of vaccinations, and quelling fears regarding them. As the world becomes more connected, proponents of the anti-vaccination movement find common ground via social media platforms and other outlets from which to confirm preexisting notions that vaccines are detrimental to recipients. This places a burden on both the aforementioned institutions as well as the general public to deal with potential outbreaks before they either resurge from previously low infectivity rates, or before they reach epidemic proportions.

Animal Welfare Frames: How Social Media Messages Bridge The Gap Between The Protein Industry And Consumers, Olivia Norton

Graduate Theses and Dissertations

The two articles in this thesis used content analysis to analyze and compare animal welfare related website and Twitter content of the top five animal protein producing companies in the United States. In the first article, the animal welfare website content of Cargill, Tyson Foods Inc., Smithfield, JBS® and Sysco were analyzed for persuasive frames, common topics, and key terminology to describe their corporate positions on animal welfare. Sysco’s main page devoted to animal welfare dominated the word count with 1,045 words, while JBS®’s main animal welfare page used only 265 words to communicate the company’s views. The most commonly …

What Are People Tweeting About Zika? An Exploratory Study Concerning Its Symptoms, Treatment, Transmission, And Prevention, Michele Miller, Tanvi Banerjee, Roopteja Muppalla, William L. Romine, Amit Sheth

Kno.e.sis Publications

Background: In order to harness what people are tweeting about Zika, there needs to be a computational framework that leverages machine learning techniques to recognize relevant Zika tweets and, further, categorize these into disease-specific categories to address specific societal concerns related to the prevention, transmission, symptoms, and treatment of Zika virus.

Objective: The purpose of this study was to determine the relevancy of the tweets and what people were tweeting about the 4 disease characteristics of Zika: symptoms, transmission, prevention, and treatment.

Methods: A combination of natural language processing and machine learning techniques was used to determine what people were …

Hashtagging Your Health: Using Psychosocial Variables And Social Media Use To Understand Impression Management And Exercise Behaviors In Women, Caitlyn Hauff

Theses and Dissertations

Our society has become heavily reliant on social media, especially in the health and exercise domain. Social and environmental factors impact females’ body image perceptions and create body image disturbances, yet little research is dedicated to the exploration of how social media, and social comparisons through social media exposure, impact exercise behaviors and body image perceptions in females. Considering Perloff's (2014) theoretical model, the current study explored how the interaction between individual psychosocial variables and social media use predict exercise behaviors and engagement in impression management in women. Using a mixed methodological approach, the specific aims of this study were …

Intent Classification Of Short-Text On Social Media, Hemant Purohit, Guozhu Dong, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

Social media platforms facilitate the emergence of citizen communities that discuss real-world events. Their content reflects a variety of intent ranging from social good (e.g., volunteering to help) to commercial interest (e.g., criticizing product features). Hence, mining intent from social data can aid in filtering social media to support organizations, such as an emergency management unit for resource planning. However, effective intent mining is inherently challenging due to ambiguity in interpretation, and sparsity of relevant behaviors in social data. In this paper, we address the problem of multiclass classification of intent with a use-case of social data generated during crisis …

On Using Synthetic Social Media Stimuli In An Emergency Preparedness Functional Exercise, Andrew Hampton, Shreyansh Bhatt, Gary Alan Smith, Jeremy S. Brunn, Hemant Purohit, Valerie L. Shalin, John M. Flach, Amit P. Sheth

Kno.e.sis Publications

This paper details the creation and use of a massive (over 32,000 messages) artificially constructed 'Twitter' microblog stream for a regional emergency preparedness functional exercise. By combining microblog conversion, manual production, and a control set, we created a web based information stream providing valid, misleading, and irrelevant information to public information officers (PIOs) representing hospitals, fire departments, the local Red Cross, and city and county government officials. PIOs searched, monitored, and (through conventional channels) verified potentially actionable information that could then be redistributed through a personalized screen name. Our case study of a key PIO reveals several capabilities that social …

Gender-Based Violence In 140 Characters Or Fewer: A #Bigdata Case Study Of Twitter, Hemant Purohit, Tanvi Banerjee, Andrew Hampton, Valerie L. Shalin, Nayanesh Bhandutia, Amit P. Sheth

Kno.e.sis Publications

Public institutions are increasingly reliant on data from social media sites to measure public attitude and provide timely public engagement. Such reliance includes the exploration of public views on important social issues such as gender-based violence (GBV). In this study, we examine big (social) data consisting of nearly fourteen million tweets collected from Twitter over a period of ten months to analyze public opinion regarding GBV, highlighting the nature of tweeting practices by geographical location and gender. We demonstrate the utility of Computational Social Science to mine insight from the corpus while accounting for the influence of both transient events …

Discovering Perceptions In Online Social Media: A Probabilistic Approach, Derek Doran, Swapna S. Gokhale, Aldo Dagnino

Kno.e.sis Publications

People across the world habitually turn to online social media to share their experiences, thoughts, ideas, and opinions as they go about their daily lives. These posts collectively contain a wealth of insights into how masses perceive their surroundings. Therefore, extracting people’s perceptions from social media posts can provide valuable information about pertinent issues such as public transportation, emergency conditions, and even reactions to political actions or other activities. This paper proposes a novel approach to extract such perceptions from a corpus of social media posts originating from a given broad geographical region. The approach divides the broad region into …

Assisting Coordination During Crisis: A Domain Ontology Based Approach To Infer Resource Needs From Tweets, Shreyansh Bhatt, Hemant Purohit, Andrew J. Hampton, Valerie L. Shalin, Amit P. Sheth, John Flach

Kno.e.sis Publications

Ubiquitous social media during crises provides citizen reports on the situation, needs and supplies. Previous research extracts resource needs directly from the text (e.g. "Power cut to Coney Island and Brighton beach" indicates a power need). This approach assumes that citizens derive and write about specific needs from their observations, properly specified for the emergency response system, an assumption that is not consistent with general conversational behavior. In our study, Twitter messages (tweets) from Hurricane Sandy in 2012 clearly indicate power blackouts, but not their probable implications (e.g. loss of power to hospital life support systems). We use a domain …

Cursing In English On Twitter, Wenbo Wang, Lu Chen, Krishnaprasad Thirunarayan, Amit P. Sheth

Kno.e.sis Publications

Cursing is not uncommon during conversations in the physical world: 0.5% to 0.7% of all the words we speak are curse words, given that 1% of all the words are first-person plural pronouns (e.g., we, us, our). On social media, people can instantly chat with friends without face-to-face interaction, usually in a more public fashion and broadly disseminated through highly connected social network. Will these distinctive features of social media lead to a change in people's cursing behavior? In this paper, we examine the characteristics of cursing activity on a popular social media platform - Twitter, involving the analysis of …

Crisis Response Coordination In Online Communities, Hemant Purohit

Kno.e.sis Publications

During recent crises, citizens (sensors) are increasingly using social media to share variety of information- situation on the ground, emerging needs, donation offers, damage, etc. In such an evolving ad-hoc community, how can we extract actionable nuggets from the social media streams to aid relief efforts? This doctoral consortium presentation summarizes a framework to analyze social data and manage information to assist coordination by focusing on three important questions to answer: Whom to coordinate with, Why to coordinate and How to coordinate, with exemplary insights for needs and availability from the recent disaster events.

What Kind Of #Communication Is Twitter? A Psycholinguistic Perspective On Communication In Twitter For The Purpose Of Emergency Coordination, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John Flach

Kno.e.sis Publications

The present research aims to detect coordinated citizen response within social media traffic to assist emergency response. We use domain-independent linguistic properties as the first step in narrowing the candidate set of messages for domain-dependent and computationally intensive analysis.

Framework For The Analysis Of Coordination In Crisis Response, Hemant Purohit, Andrew Hampton, Valerie L. Shalin, Amit P. Sheth, John M. Flach

Kno.e.sis Publications

Social Media play a critical role during crisis events, revealing a natural coordination dynamic. We propose a computational framework guided by social science principles to measure, analyze, and understand coordination among the different types of organizations and actors in crisis response. The analysis informs both the scientific account of cooperative behavior and the design of applications and protocols to support crisis management.

Dynamic Associative Relationships On The Linked Open Data Web, Pablo N. Mendes, Pavan Kapanipathi, Delroy H. Cameron, Amit P. Sheth

Kno.e.sis Publications

We provide a definition of context based on theme, time and location, and propose a mixed retrieval/extraction model for the dynamic suggestion of trending relationships to LOD resources.

Linked Open Social Signals, Pablo N. Mendes, Alexandre Passant, Pavan Kapanipathi, Amit P. Sheth

Kno.e.sis Publications

In this paper we discuss the collection, semantic annotation and analysis of real-time social signals from micro-blogging data. We focus on users interested in analyzing social signals collectively for sensemaking. Our proposal enables flexibility in selecting subsets for analysis, alleviating information overload. We define an architecture that is based on state-of-the-art Semantic Web technologies and a distributed publish subscribe protocol for real time communication. In addition, we discuss our method and application in a scenario related to the health care reform in the United States.