scholarly journals TRANSCODING BETWEEN HYPER-ANTAGONISTIC MILIEUS: STUDIES ON THE CROSS-PLATFORM RELATIONS BETWEEN RADICAL POLITICAL WEB SUBCULTURES

2020 ◽  
Author(s):  
Sal Hagen ◽  
Marc Tuters ◽  
Stijn Peeters ◽  
Emillie De Keulenaar ◽  
Jack Wilson ◽  
...  
Keyword(s):  
Social Media ◽  
Conceptual Analysis ◽  
Data Driven ◽  
Far Right ◽  
Cross Platform ◽  
The Cross ◽  
Anglo American ◽  
Empirical Approaches ◽  
The Web ◽  
Half Decade

This panel brings together research into the cross-platform relations between radical Web subcultures and how they are constitutive of “hyper-antagonistic” politics in broader Web discourses. The papers share a concern with vernacular practices of “fringe” platforms favoured by an insurgent far-right movement and their relations to more “mainstream” social media. They engage with the concept of “transcoding between milieus” (Deleuze & Guattari 1987, 322) as a means to empirically describe multiple transversal processes across different strata of the Web in which “one milieu serves as the basis for another” (313). All papers ground their conceptual analysis in data-driven empirical approaches using historical datasets ranging from “mainstream” platforms like YouTube, to more “fringe” spaces like 4chan. The papers furthermore all use 4chan’s far-right /pol/ board as a reference point for a vernacular “hyper-antagonistic” style that emerged out of this period – a style that has often been related to the “alt-right”. Together, the four papers in this panel offer insights into the apparent insurgency of far-right subcultures within broader online discourse in the Anglo-American context over the course of the last half decade. Each does so with a particular focus, ranging from subcultural conflict between Tumblr and 4chan, the transcoding of the “Kekistan” meme between 4chan and YouTube, the emergence of far-right vernacular in the comments of Breitbart News, and the robustness of hyper-antagonistic discourse after deplatforming measures.

Education

2018 ◽  
pp. 265-273
Keyword(s):  
Social Media ◽  
Real Time ◽  
Social Life ◽  
Handheld Devices ◽  
On Line ◽  
Cross Platform ◽  
The Web

Given the present plug-in society of on-line services, today's youngsters became owners of digital handheld devices where Wikipedia, Twitter, Facebook, Google, Yahoo, Flickr, Viadeo, Amazon, Alibaba, WeChat, Line, Blogger, What'sApp, Instagram, Vine and Dropbox are regular daily services used as a common practice. Connectivity is oxygen nowadays. People spend hours engaging with social media, highlighting that this activity is playing a huge part of the growth and evolution of the online landscape (Kemp, 2014). Thirty years after the dawn of the Net, social media have become the first activity on the Web where everything is connected in real-time and are more personalized than ever in a universal cross-platform (the cloud concept). Definitely, real social life, based on activities such as going to a movie with your friends or children playing with toys is fading away.

scholarly journals Youtube Video Ranking: A NLP based System

2019 ◽  
Vol 8 (4) ◽  
pp. 1370-1375
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Information Source ◽  
Rating System ◽  
Data Driven ◽  
Search Query ◽  
Video Information ◽  
User Comments ◽  
Data Driven Approach ◽  
The Web

YouTube is an acclaimed video information source on the web among various social media sites, where users are sharing, commenting and liking/dis-liking the video along with the continuous uploading of videos in real-time. Generally, the quality, popularity and relevance of results obtained from searching a query are obtained based on a rating system. Now and then few irrelevant and substandard videos are ranked higher because of higher views and likes. To address this issue, we put forth a sentiment analysis approach on the user comments based on Natural Language Processing. The suggested analysis will be helpful in providing a desirable result to the search query. The effectuality of the system has been proved in this paper using a data driven approach in terms of accuracy.

scholarly journals A tool for tracking the propagation of words on Reddit

2021 ◽  
Vol 3 (1) ◽  
pp. 117-132
Author(s):  
Tom Willaert ◽  
Paul Van Eecke ◽  
Jeroen Van Soest ◽  
Katrien Beuls
Keyword(s):  
Social Media ◽  
Information Diffusion ◽  
Computational Social Science ◽  
Data Driven ◽  
Online Media ◽  
Online Tool ◽  
Online Social Media ◽  
Social Media Platforms ◽  
Over Time ◽  
The Web

Abstract The data-driven study of cultural information diffusion in online (social) media is currently an active area of research. The availability of data from the web thereby generates new opportunities to examine how words propagate through online media and communities, as well as how these diffusion patterns are intertwined with the materiality and culture of social media platforms. In support of such efforts, this paper introduces an online tool for tracking the consecutive occurrences of words across subreddits on Reddit between 2005 and 2017. By processing the full Pushshift.io Reddit comment archive for this period (Baumgartner et al., 2020), we are able to track the first occurrences of 76 million words, allowing us to visualize which subreddits subsequently adopt any of those words over time. We illustrate this approach by addressing the spread of terms referring to famous internet controversies, and the percolation of alt-right terminology. By making our instrument and the processed data publically available, we aim to facilitate a range of exploratory analyses in computational social science, the digital humanities, and related fields.

Confronting bias in the online representation of pregnancy

2020 ◽  
Vol 26 (5-6) ◽  
pp. 1037-1059
Author(s):  
Loes Bogers ◽  
Sabine Niederer ◽  
Federica Bardelli ◽  
Carlo De Gaetano
Keyword(s):  
Social Media ◽  
Predominantly White ◽  
Media Content ◽  
Composite Image ◽  
Cross Platform ◽  
Media Imagery ◽  
Visual Materials ◽  
Social Support Systems ◽  
The Web

This article interrogates platform-specific bias in the contemporary algorithmic media landscape through a comparative study of the representation of pregnancy on the Web and social media. Online visual materials such as social media content related to pregnancy are not void of bias, nor are they very diverse. The case study is a cross-platform analysis of social media imagery for the topic of pregnancy, through which distinct visual platform vernaculars emerge. The authors describe two visualization methods that can support comparative analysis of such visual vernaculars: the image grid and the composite image. While platform-specific perspectives range from lists of pregnancy tips on Pinterest to pregnancy information and social support systems on Twitter, and pregnancy humour on Reddit, each of the platforms presents a predominantly White, able-bodied and heteronormative perspective on pregnancy.

“It’s a mix of authenticity and complete fabrication” Emotional camping: The cross-platform labor of the Real Housewives

2020 ◽  
pp. 146144482097502
Author(s):  
Evie Psarras
Keyword(s):  
Social Media ◽  
Reality Television ◽  
Branding Strategy ◽  
The Real ◽  
Cross Platform ◽  
Popular Interest ◽  
The Cross ◽  
The Individual ◽  
Real Housewives

Despite popular interest in reality television, social media, and self-branding, much scholarship focuses on a single platform and places the burden of self-branding on the individual alone. Drawing on 6 years of research into the Real Housewives (RH) franchise and interviews with “Housewives,” I focus on the women’s performances of identity and self-branding across platforms. This article demonstrates that the women of RH become experts at working the system that exploits them via a form of labor I conceptualize as “emotional camping.” Successfully branded “Housewives” tend to be (1) dedicated to Bravo, (2) inclined to present as walking GIFs on Instagram, and (3) seemingly authentic. I argue this self-branding strategy affords these women a semblance of privacy in their highly public careers. These findings are a critique of and feminist mediation into the legitimate labor reality stars do for networks and themselves across platforms.

Socializing the web

2021 ◽  
Vol 27 (3) ◽  
pp. 32-36
Author(s):  
Judith Donath
Keyword(s):  
Social Media ◽  
Social Interaction ◽  
Social Applications ◽  
The Web

Though today we think of the web and social media as nearly synonymous, the technology of the early web made social interaction difficult. The author discusses her work creating some of the web's earliest social applications and asks why our interfaces for seeing and communicating with each other online are still so primitive.

scholarly journals How Popular Culture Prompts Youth Collective Political Expression and Cross-Cutting Political Talk on Social Media: A Cross-Platform Analysis

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110088
Author(s):  
Ioana Literat ◽  
Neta Kligler-Vilenchik
Keyword(s):  
Social Media ◽  
Popular Culture ◽  
Qualitative Content Analysis ◽  
Political Expression ◽  
Political Views ◽  
Political Talk ◽  
Social Media Platforms ◽  
Cross Platform ◽  
Symbolic Resource ◽  
Political Differences

Adopting a comparative cross-platform approach, we examine youth political expression and conversation on social media, as prompted by popular culture. Tracking a common case study—the practice of building Donald Trump’s border wall within the videogame Fortnite—across three social media platforms popular with youth (YouTube, TikTok, Instagram), we ask: How do popular culture artifacts prompt youth political expression, as well as cross-cutting political talk with those holding different political views, across social media platforms? A mixed methods approach, combining quantitative and qualitative content analysis of around 6,400 comments posted on relevant artifacts, illuminates youth popular culture as a shared symbolic resource that stimulates communication within and across political differences—although, as our findings show, it is often deployed in a disparaging manner. This cross-platform analysis, grounded in contemporary youth culture and sociopolitical dynamics, enables a deeper understanding of the interplay between popular culture, cross-cutting political talk, and the role that different social media platforms play in shaping these expressive practices.

scholarly journals A Bilingual Comparison of Sentiment and Topics for a Product Event on Twitter

2021 ◽  
Author(s):  
Irina Wedel ◽  
Michael Palk ◽  
Stefan Voß
Keyword(s):  
Social Media ◽  
Language Processing ◽  
Topic Modeling ◽  
New Product ◽  
Business Value ◽  
Data Driven ◽  
New Product Introduction ◽  
Social Media Analytics ◽  
Product Introduction ◽  
Textual Data

AbstractSocial media enable companies to assess consumers’ opinions, complaints and needs. The systematic and data-driven analysis of social media to generate business value is summarized under the term Social Media Analytics which includes statistical, network-based and language-based approaches. We focus on textual data and investigate which conversation topics arise during the time of a new product introduction on Twitter and how the overall sentiment is during and after the event. The analysis via Natural Language Processing tools is conducted in two languages and four different countries, such that cultural differences in the tonality and customer needs can be identified for the product. Different methods of sentiment analysis and topic modeling are compared to identify the usability in social media and in the respective languages English and German. Furthermore, we illustrate the importance of preprocessing steps when applying these methods and identify relevant product insights.

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