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- Creators: Barrett, The Honors College
Description
In this project, I examined the relationship between lockdowns implemented by COVID-19 and the activity of animals in urban areas. I hypothesized that animals became more active in urban areas during COVID-19 quarantine than they were before and I wanted to see if my hypothesis could be researched through Twitter crowdsourcing. I began by collecting tweets using python code, but upon examining all data output from code-based searches, I concluded that it is quicker and more efficient to use the advanced search on Twitter website. Based on my research, I can neither confirm nor deny if the appearance of wild animals is due to the COVID-19 lockdowns. However, I was able to discover a correlational relationship between these two factors in some research cases. Although my findings are mixed with regard to my original hypothesis, the impact that this phenomenon had on society cannot be denied.
ContributorsHeimlich, Kiana Raye (Author) / Dorn, Ronald (Thesis director) / Martin, Roberta (Committee member) / Donovan, Mary (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
This project is a case study of the how The New York Times metro desk and its journalists used Twitter throughout the duration of Hurricane Sandy. Hurricane Sandy affected the East Coast of the United States in late October and early November 2012. The study specifically focuses on a random sampling of journalists' individual Twitter accounts as listed on the Times website directory and the official New York Times Metro account, which tweets breaking news in the New York City metro area of five New York City boroughs and New Jersey. This study categorizes the tweets according to types of tweet, with regard to whether individual tweets were "retweets" (reposting of another Twitter user's tweet) as well as the tweet's contents by categories relevant to the storm. This case study utilizes a qualitative approach. The categories were determined based on theme as a contextual analysis to synthesize information more broadly to be more inclusive of tweets occurring during the time frame of October 27 to November 3, 2012. The study then analyzes the tweets through the lens of the Society of Professional Journalists' Code of Ethics, a code voluntarily embraced by thousands of journalists as a guideline for ethical behavior in the profession, and the New York Times informal guidelines for its journalists' social media use. The study seeks to explore the ethical implications of Twitter's use during breaking news and how the message is delivered can be framed by as a tweet or retweet rather than shared through traditional journalism methods (via print or a news organization's website.)
ContributorsSteffan, Sara (Author) / Matera, Fran (Thesis director) / Thornton, Leslie (Committee member) / Gilpin, Dawn (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2013-05
Description
Bots tamper with social media networks by artificially inflating the popularity of certain topics. In this paper, we define what a bot is, we detail different motivations for bots, we describe previous work in bot detection and observation, and then we perform bot detection of our own. For our bot detection, we are interested in bots on Twitter that tweet Arabic extremist-like phrases. A testing dataset is collected using the honeypot method, and five different heuristics are measured for their effectiveness in detecting bots. The model underperformed, but we have laid the ground-work for a vastly untapped focus on bot detection: extremist ideal diffusion through bots.
ContributorsKarlsrud, Mark C. (Author) / Liu, Huan (Thesis director) / Morstatter, Fred (Committee member) / Barrett, The Honors College (Contributor) / Computing and Informatics Program (Contributor) / Computer Science and Engineering Program (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2015-05
Description
This project analyzes the tweets from the 2016 US Presidential Candidates' personal Twitter accounts. The goal is to define distinct patterns and differences between candidates and parties use of social media as a platform. The data spans the period of September 2015 to March 2016, which was during the primary races for the Republicans and Democrats. The overall purpose of this project is to contribute to finding new ways of driving value from social media, in particular Twitter.
ContributorsMortimer, Schuyler Kenneth (Author) / Simon, Alan (Thesis director) / Mousavi, Seyedreza (Committee member) / Department of Information Systems (Contributor) / Department of Supply Chain Management (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
This study investigates the use and perception of communications efforts among 197 animal-related and human services nonprofit organizations. Several facets of nonprofit communication such as traditional communication usage, social media adoption and usage, and the overall perception of the organizations' communications efforts were examined using a survey and Form 990 analysis. More in-depth analysis was conducted on the participating organizations' Facebook and Twitter accounts as well. After analyzing this data, the study found significant differences in how these two types of nonprofit organizations conduct their communications efforts. Animal-related organizations were much more active and saw higher levels of engagement on Facebook than human services organizations; however, there were no differences in how both types of organizations used Twitter. This study also found that human services organizations are more likely to have full-time or part-time staff members in charge of their communications, while animal-related organizations were more likely to assign this responsibility to a volunteer. These findings contribute valuable insight into how different types of nonprofit organizations are communicating with their stakeholders.
ContributorsColeman, Alexandria Elizabeth (Author) / Wu, Xu (Thesis director) / Taj, Torrie (Committee member) / Walter Cronkite School of Journalism and Mass Communication (Contributor) / School of Historical, Philosophical and Religious Studies (Contributor) / School of Community Resources and Development (Contributor) / Barrett, The Honors College (Contributor)
Created2016-05
Description
Social media is changing the way journalists operate; their use of Twitter is potentially representational of that change. Because of Twitter, journalists can connect to stories, sources, and audiences in ways they never could before. Because this is an evolving practice, role models can be difficult to find, which presents a problem for journalism students. In broadcast journalism, the challenge is even more pronounced when it comes to finding women exemplars for female students; female students are more likely to relate to female role models.This study, using in-depth interviews and textual analysis, examines how Twitter is being used by four prominent journalists in one competitive market. The Twitter feeds of four female TV news anchors in Phoenix, Arizona, the 12th largest broadcast market in the United States, are explored in terms of content and practice. The results show that they used Twitter daily and for more than just tweeting out the day's news, suggesting that Twitter has become a standard journalistic tool and a practice worth emulating.
ContributorsMolina, Tara Lea (Author) / Lodato, Mark (Thesis director) / Thornton, Leslie (Committee member) / Barrett, The Honors College (Contributor) / Walter Cronkite School of Journalism and Mass Communication (Contributor)
Created2014-05
Description
Twitter has become a very popular social media site that is used daily by many people and organizations. This paper will focus on the financial aspect of Twitter, as a process will be shown to be able to mine data about specific companies' stock prices. This was done by writing a program to grab tweets about the stocks of the thirty companies in the Dow Jones.
ContributorsLarson, Grant Elliott (Author) / Davulcu, Hasan (Thesis director) / Ye, Jieping (Committee member) / Barrett, The Honors College (Contributor) / Computer Science and Engineering Program (Contributor)
Created2014-05
Description
In 2012, Chick-fil-A president Dan Cathy's "came out" about his anti-same sex marriage views, launching an enormous negative backlash across social media networks. To counteract this, former governor Mike Huckabee called on his Facebook fans to support the company on "Chick-fil-A Appreciation Day," both on Facebook and in person. The project examines both the backlash and Appreciation Day on social media networks. Posts on the Appreciation Day Facebook event page and similar posts on Twitter were first broken down in the framework of supportive and oppositional posts and then analyzed in further contexts. Comments on official Chick-fil-A Facebook statuses were then examined in a similar fashion. The research concludes that a strong support system both online and offline were necessary for Chick-fil-A to recover from its backlash. The controversy that ensued is ultimately a case study in the growing influence of Facebook as a tool for small-scale activism.
ContributorsKuiland, Zachary Rico (Author) / Cheong, Pauline (Thesis director) / Szeli, Eva (Committee member) / Lim, Merlyna (Committee member) / Barrett, The Honors College (Contributor) / School of Criminology and Criminal Justice (Contributor) / Department of Psychology (Contributor)
Created2013-05
Description
The goal of this thesis research was to figure out if there were tangible differences between the way men and women speak on Twitter, a micro blogging social media site, and to see if there ways to apply it to strategizing marketing campaigns. AntConc, a free concordance software by Lawrence Anthony, was used to help organize and analyze a corpus created from the Tweets that were collected form the public accounts of twelve different popular public figures. These individuals were chosen based on their profession or the industry that they are associated with, as well as their general popularity. The research focused on three main industries or professions that can be viewed as ‘gendered;’ which were ‘Modeling,’ ‘Fashion Publications,’ and ‘Sports.’ The data was then analyzed across five different main categories which included, ‘Additional Media,’ ‘Adjective Usage,’ ‘How are they talking?,’ ‘Who are they talking about?, and ‘What are they talking about?’ The primary data, along with secondary research was used to see if they words and language use of men and women aligned with stereotypical patterns or if there were patterns that were unique and overlooked.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
What was found was that although gender did play a large part in the way men and women spoke, there were more similarities when comparing individuals of the same industry or profession, than there were if they were simply analyzed just based on gender. Additionally, there were many factors that made it difficult to say whether these were qualified patterns or simply tendencies. More research into this would be able to help marketing companies and individuals, better target the audience they want for social media campaigns, by taking into account the importance in contemporary differences in language use by men and women. However, this research would have to be done on data from sites like Twitter to provide an accurate depiction of the way men and women, on these very unique mediums, speak.
ContributorsChan, Kayla Rose (Author) / Adams, Karen (Thesis director) / Shinabarger, Amy D. (Committee member) / Barrett, The Honors College (Contributor) / Department of Marketing (Contributor) / Department of English (Contributor)
Created2015-05
Description
The role of technology in shaping modern society has become increasingly important in the context of current democratic politics, especially when examined through the lens of social media. Twitter is a prominent social media platform used as a political medium, contributing to political movements such as #OccupyWallStreet, #MeToo, and #BlackLivesMatter. Using the #BlackLivesMatter movement as an illustrative case to establish patterns in Twitter usage, this thesis aims to answer the question “to what extent is Twitter an accurate representation of “real life” in terms of performative activism and user engagement?” The discussion of Twitter is contextualized by research on Twitter’s use in politics, both as a mobilizing force and potential to divide and mislead. Using intervals of time between 2014 – 2020, Twitter data containing #BlackLivesMatter is collected and analyzed. The discussion of findings centers around the role of performative activism in social mobilization on twitter. The analysis shows patterns in the data that indicates performative activism can skew the real picture of civic engagement, which can impact the way in which public opinion affects future public policy and mobilization.
ContributorsTutelman, Laura (Author) / Voorhees, Matthew (Thesis director) / Kawski, Matthias (Committee member) / School of Mathematical and Statistical Sciences (Contributor) / Computer Science and Engineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05