1,720,955 research outputs found
Trump and the 2020 Election Tweet Sentiments and Virality
No full textAs social media platforms continue to play an outsized role in American politics, it has become increasingly important to understand the workings of different parts of these platforms. Twitter (now X) was an influential tool for political communication during the U.S. 2020 Presidential Elections. It also served as a primary form of communication for Donald Trump, who heavily utilized it throughout his presidency and his campaigning during the 2020 election. The potential for a tweet to go viral can often influence its messaging. Thus, studying the correlation between the sentiment of a tweet and its virality could help in understanding how tweets go viral within the American political space. Therefore, the purpose of this study was to analyze longitudinal (Donald Trump's) and latitudinal (the 2020 election) datasets of tweets to understand how sentiment might play a role in the virality of American political tweets. This study used publicly available code and datasets to analyze the correlation between the sentiment of the tweet, the number of retweets, and the number of likes using a heatmap. This study did not find a strong correlation between the sentiment of tweets linked to either Donald Trump or the U.S. 2020 election and the virality of those tweets.Honors CollegeDecision and Information Sciences, Department o
The Federal Government and Social Media Liability
No full textThe purpose of this study was to identify the various interactions and relationships the federal government holds with social media liabilities. There is a focus on each branch of the federal government and their unique response to the growing negative impacts social media poses to our national politics and safety. The significance of this study is evident when one considers how social media companies have operated under two key tenets: that they have control over what to keep on or take down from their sites and that they are not legally held responsible for the content that their users post because of Section 230 of the Communications Decency Act. This in turn has enabled social media companies to conduct their own "good faith" content moderation and protected companies from lawsuits of libel, slander, harassment, invasion of privacy, etc. The findings include the various motivations and areas of interest of Congress as it pertains to Section 230 and content moderation of social media platforms, the safe and effective usage of AI through the Biden administration as it builds relationships with top AI companies, and the judicial opinions and standard review as it pertains to the issue.Political Science, Department ofHonors CollegeDecision and Information Sciences, Department o
From Passive Consumption to Aiding and Abetting Terrorism: An Examination of AI-driven Recommendation Algorithms in Relation to the Intent-Consequence Gap
No full textThis thesis examines the ethical and societal implications of AI-driven social media recommendation algorithms, challenging the belief that these algorithms are content-neutral and passive tools. It introduces the concept of the “intent-consequence gap,” highlighting the disconnect between the neutral intent of recommendation algorithms as profit-maximizing tools and their unintended consequences, such as amplifying harmful content. This thesis critiques current regulatory approaches, particularly the focus on Section 230. It argues that the federal government reforming this statute alone is insufficient to address the broader issues raised by recommendation algorithms to close the intent-consequence gap. Instead, it suggests that social media companies must adopt a proactive approach to content amplification. To do this, the thesis presents three solution frameworks using an enterprise risk management model, focusing on social media companies, the federal government, and users. Social media companies should focus on creating a more normatively desirable discourse space. The federal government should focus on issues such as monopolies and data privacy. Users should focus on becoming more actively engaged in advocating for ethical platform changes. The thesis is structured into seven chapters, covering topics such as the history and implications of Section 230, content-neutrality of recommendation algorithms, social media company liability, the federal government's regulatory role, and self-regulation by social media companies. It then proposes the solution frameworks and discusses how the thesis is situated in the larger literature. New terms like the “intent-consequence gap,” “culture of passivity,” and “the three creation points” are introduced to advance discussions on social media ethics and risk management obligations. Limitations, such as assuming unchanged legal interpretations and not fully addressing technical complexities, will be addressed by suggested avenues of future research. These include a deeper technical analysis of algorithms and exploring the legal feasibility of the proposed frameworks. Ultimately, the thesis argues that societal progress depends on fostering open discourse, balancing freedom of expression with safeguards against harm, and evolving technological and regulatory frameworks to support a responsible digital space.Decision and Information Sciences, Department ofHonors Colleg
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
- …
