1,720,961 research outputs found
sj-docx-1-sms-10.1177_20563051241234689 – Supplemental material for Right-Wing Twitter Users in France Exhibit Growing Homophily Compared With Left and Center Users
No full textSupplemental material, sj-docx-1-sms-10.1177_20563051241234689 for Right-Wing Twitter Users in France Exhibit Growing Homophily Compared With Left and Center Users by Muhammad Umer Gurchani in Social Media + Society</p
Finding evidence for Partisan Reinforcement through graph analysis of political rivalries on twitter.
No full textThe aim of this study is to find out if Twitter users choose to expose themselves to a diverse set of opinions on political matters or if they choose to listen to only one of the political adversaries, whom they already support in real life as proposed by theories of partisan reinforcement and the classic study of 1940-44 in Erie county (Lazarsfeld, 1944). This is a comparative study of two political rivalries on twitter; the first one is from the USA and the other one from Pakistan. Network-Graphs are created from both rivalries to try to see if clusterization happens in a way that it will create an information bias in favor of one of the rivals. For the purpose of this study, I will only be focused on ‘follow’ relationship on twitter for the reason that it is an indicator of choice for twitter users who want to expose to themselves to ideas being promoted through Twitter accounts of these Politicians (Myers, Sharma, Gupta, & Lin, 2014). I further aspire to find out if the balkanization effect of the internet is evident on twitter (Alstyne & Brynjolfsson, 1997)
Right-Wing Twitter Users in France Exhibit Growing Homophily Compared With Left and Center Users
No full textThe purpose of this research is to enhance our understanding of homophilic behaviors—where individuals prefer to associate with others like themselves—on Twitter, particularly focusing on how these behaviors vary across different political affiliations. While a general increase in homophily is a well-documented phenomenon in social networks, its expression within the diverse political contexts on Twitter remains underexplored. This study seeks to understand how political alignment influences homophily and its possible role in reinforcing extreme viewpoints. In particular, the research examines the patterns of interaction within political communities on French Twitter, delineating between right-wing, left-wing, and centrist groups. The findings reveal a significant pattern: right-wing groups demonstrate a marked increase in homophily over time, suggesting a stronger predilection for in-group interaction when compared with their centrist and left-wing counterparts. In addition, the study monitors the evolution of follower networks among these political clusters, providing insights into the shifting popularity of political parties within each group. By analyzing the social connections within these clusters, the study offers a detailed perspective on the dynamics of political homophily on Twitter and how it evolves, informing our understanding of political communication and group behavior in the digital age
Who are Political Retweeters?, Demographic comparison of political retweeters with retweeters of non-political personalities.
No full textTwitter has been a focus of research in political science for a few years now as it provides the opportunity to make direct observations on the spread of political information in different communities. Here we will be studying the phenomena of information diffusion, and focus on nodes that are responsible for spreading political information everywhere on the Twitter network. This paper attempts to fill gaps in the literature regarding the demographics of political retweeters using various techniques on the name and location-related data from most active French political retweeters. Here I will try to state the break-down of these accounts in categories based on gender, language, location, education level, and self-descriptions. To put the information about political retweeters in context we will also create a category of non-political retweeters to draw comparisons between the groups regarding the above-mentioned variables
Over Time, Right-Wing Twitter Users in France Exhibit Growing Homophily Compared to Left and Center Users
No full textRecent research (Huszár et al., 2022) has highlighted the disproportionate amplification of right-wing political content within major Twitter-using nations, pointing to personalized content ranking algorithms as a key factor. In this study, I delve deeper into the root of this bias, suggesting that right-wing users exhibit stronger in-group socialization tendencies compared to other political communities.
To dissect the enigma of Twitter's content ranking algorithms and their unequal impact across the political spectrum, I analyze evolving in-group connections among political right, left, and center communities on French Twitter. The findings reveal a significant and distinctive rise in in-group connections within the right-wing over time.
In the latter part of this paper, I investigate self-descriptions within Twitter profiles of left, center, and right-wing users, seeking to elucidate the connection between the right-wing's in-group propensity and their self-representation. This research contributes valuable insights into the mechanisms shaping the social dynamics and personalized content experiences of Twitter's diverse political communities
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
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