1,720,957 research outputs found
“Make A-meme-rica great again!”: studying the memers among Trump supporters in the 2020 US presidential election on Twitter via hashtags #maga and #trump2020
Full text linkMaster of ScienceDepartment of Journalism and Mass CommunicationsJacob GroshekThe study, consisting of three parts and based on the theoretical framework of social network analysis, political spamming, and framing theory, analysed a corpus of 220,336 tweets from 96,820 unique users posted on Twitter between October 27 and November 2, 2020. It investigates the participation of social media, particularly Twitter, and internet memes in political discourse, positioning such concepts in the political context of the 2020 US presidential election. The study attempts to better understand Donald Trump, his community of supporters, and their political discourse and activities during the 2020 US presidential election; thus, an investigation into their Twitter social network should prove fruitful.
By probing into the community of supporters of the incumbent Donald Trump, specifically the group of internet memers (an internet slang describing people who create or distribute memes), on Twitter during the 2020 US presidential election, the study reveals the most active and influential users within the network, the likelihood of those users being spamming bots, and their tweets’ content. Such analysis is relevant in understanding Twitter users related to the hashtags, their affiliations, and the nature of such accounts. Systematic, objective, and quantitative content analysis of internet memes found in the corpus should determine (1) the memes’ target, (2) how were the targets portrayed in the memes, and (3) the main themes, or ideas, of the internet memes posted within the community of Donald Trump supporters. Finally, findings shall be discussed, from which assessment, prediction, and serviceable data are provided in the hope that the study can contribute to building a solid foundation for future research concerning internet memes, social media, and political communication
Red Cows, Yellow Dogs: Political Identity, Political Polarization, and Media Skepticism in a Single-Party Socialist Republic
No full textThis dissertation examines the interplay among political identity, trust in government and media, and patterns of media consumption in Vietnam, a single‐party socialist republic in Southeast Asia. Moving beyond the liberal democratic focus of existing scholarship, the dissertation challenges the assumption of political homogeneity in authoritarian settings and empirically explores the extent and character of polarization.
The dissertation takes a quantitative approach and employs multiple statistical techniques, including latent profile analysis (LPA) and structural equation modeling (SEM). It uncovers multiple latent political profiles within Vietnamese society, defined by varying degrees of trust in the government and ideological orientation. Further analysis reveals that traditional, anti‐market social/economic preferences and heightened nationalist sentiments significantly predict greater trust in the Vietnamese government. Paradoxically, greater reliance on government‐controlled media corresponds with lower overall media trust. Although participants generally express higher confidence in state‐run outlets compared to alternative sources, an experimental manipulation exposing them to elite disagreement over a specific policy did not meaningfully shift public opinion or media trust. Such a result suggests that elite polarization exerts a muted influence within Vietnam’s political landscape.
Theoretically, the dissertation advances our understanding of authoritarian resilience by demonstrating the coexistence of diverse political identities and attitudes in the absence of formal party competition. It extends prevailing theories of political behavior and media trust into a non‐democratic context to highlight the complex dynamics of identity formation and information processing under a government‐controlled media environment. These findings underscore the inadequacy of monolithic portrayals of authoritarian societies and illuminate potential pathways for political evolution within such regimes. Practically, it provides valuable insights to develop strategies to enhance public communication efficacy, foster informed civic engagement, and mitigate skepticism toward policy initiatives in environments where media credibility and elite signaling play pivotal roles in shaping public attitudes. The dissertation’s imitations, as well as suggestions for future research related to politics, political communication, polarization, trust, and the media in Vietnam, were also discussed
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe 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
Full text link“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
Full text linkWe 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
Me, myself, and I: Self-presentation, self-esteem, and uses and gratifications on Facebook, LinkedIn, and TikTok
No full textEmpirical evidence has suggested a positive correlation between authentic self-presentation on social media and improved mental health and well-being. False self-presentation, conversely, may bring about negative outcomes to subjective and psychological well-being. Our study examines the different selves that users present, as well as factors influencing self-presentation, on social media platforms. Results from 392 survey responses suggest that, first, users present themselves differently on Facebook, LinkedIn, and TikTok; generally, they tend to present their real and ideal selves more than the false selves. Second, users seek significantly different uses and gratifications from different social media platforms (e.g., maintaining existing relationships on Facebook, meeting new people and socializing on LinkedIn, or entertainment purposes on TikTok); nevertheless, education and information is a common motivation for social media use. Third, social media uses and gratifications, social media usage, and self-esteem are influential factors of users’ self-presentation on social media. The dynamics of these influential factors, however, differ across platforms. Theoretical implications, as well as empirical suggestions to enhance the quality of social media interactions, are further discussed
An enhanced improved adaptive backstepping–second-order sliding mode hybrid control strategy for high-performance electric vehicle drives
Get PDFThis paper proposes an enhanced hybrid speed control strategy, termed improved adaptive backstepping–second-order sliding mode (IABSSOSM), for six-phase induction motor (SPIM) drives in electric vehicle (EV) propulsion systems. The proposed method combines the systematic design framework of Backstepping in the outer speed and flux loops with a second-order sliding mode controller in the inner current loop. An innovation of the approach is the integration of a variable-gain super-twisting algorithm (VGSTA), which dynamically adjusts the control effort based on disturbance levels, thereby minimizing chattering and enhancing robustness against system uncertainties. To further improve disturbance rejection, a predictive torque estimator is incorporated using a forward Euler discretization, enabling accurate torque prediction and proactive compensation. This hybrid structure significantly improves convergence speed, enhances reference speed tracking accuracy, and ensures fast and precise torque response, and its strong resilience to external load disturbances, system parameter variations enable stable and reliable operation under challenging conditions. The effectiveness of the proposed approach is validated through comprehensive simulations using the MATLAB/Simulink
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe 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
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