Creating an Instrument for the Manual Coding and Exploration of Group Selfies on the Social Web

2018 ◽  
pp. 173-248
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Social Web ◽  
The Social ◽  
Image Creation ◽  
Informational Value

A subgroup of the images shared as part of the “selfie” phenomenon is group selfies (aka “groupies” and “we-fies” or “us-ies”) or self-portraits of groups (three or more individuals of focal interest) that are shared on social media. These images have informational value that has thus far been only thinly explored. In this work, an instrument—Categorization and Exploration of Group Selfies Instrument (CEGSI), pronounced “segsy”—was constructed of three parts: (1) Group Selfie Content and Context, (2) Group Selfie Image Creation, and (3) Group Selfie Messaging. It was tested against two image sets: group selfies and dronies, which were scraped from Google Images. This chapter describes the work, the analytical findings, and the resulting instrument for the manual coding of group selfies, and other insights.

Creating an Instrument for the Manual Coding and Exploration of Group Selfies on the Social Web

2021 ◽  
pp. 1446-1508
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Social Web ◽  
The Social ◽  
Image Creation ◽  
Informational Value

A subgroup of the images shared as part of the “selfie” phenomenon is group selfies (aka “groupies” and “we-fies” or “us-ies”) or self-portraits of groups (three or more individuals of focal interest) that are shared on social media. These images have informational value that has thus far been only thinly explored. In this work, an instrument—Categorization and Exploration of Group Selfies Instrument (CEGSI), pronounced “segsy”—was constructed of three parts: (1) Group Selfie Content and Context, (2) Group Selfie Image Creation, and (3) Group Selfie Messaging. It was tested against two image sets: group selfies and dronies, which were scraped from Google Images. This chapter describes the work, the analytical findings, and the resulting instrument for the manual coding of group selfies, and other insights.

The Alt-social Network of Natalie Bookchin’s Testament

2016 ◽  
Vol 18 (5) ◽  
pp. 459-477
Author(s):  
Sarah Whitcomb Laiola
Keyword(s):  
Data Mining ◽  
Social Networks ◽  
Social Media ◽  
Social Network ◽  
Online Social Networks ◽  
Social Web ◽  
User Interactions ◽  
Media Criticism ◽  
Direct Translation ◽  
The Social

This article addresses issues of user precarity and vulnerability in online social networks. As social media criticism by Jose van Dijck, Felix Stalder, and Geert Lovink describes, the social web is a predatory system that exploits users’ desires for connection. Although accurate, this critical description casts the social web as a zone where users are always already disempowered, so fails to imagine possibilities for users beyond this paradigm. This article examines Natalie Bookchin’s composite video series, Testament, as it mobilizes an alt-(ernative) social network of vernacular video on YouTube. In the first place, the alt-social network works as an iteration of “tactical media” to critically reimagine empowered user-to-user interactions on the social web. In the second place, it obfuscates YouTube’s data-mining functionality, so allows users to socialize online in a way that evades their direct translation into data and the exploitation of their social labor.

scholarly journals The Implementation of Altmetrics in Library as an Alternative Measurement Method for Scholarly Article Impact in Social Web Ecosystem

2017 ◽  
Author(s):  
Nuning Kurniasih
Keyword(s):  
Social Media ◽  
Evaluation Method ◽  
Social Web ◽  
Digital Format ◽  
The Social ◽  
Scholarly Article ◽  
Media Platform ◽  
Alternative Measurement ◽  
The Impact ◽  
Article Impact

Altmetrics is an alternative method to complement the traditional method to measure impact of scholarly articles in social web ecosystem. This paper aims to examine how the librarians can implement Altmetrics in their library so it can deliver high impact scholarly article. The method to reach the aim is by evaluation method. The study shows that (1) The librarian has an important role in disseminating, training as well as for administrative assessor of Altmetrics (2) The scholarly trends in publishing articles mostly use digital format with interactive dialog. It is marked by the increasing presence of the scholar in various social media platform which can build effective communication among researchers. (3) that social media have brought the activity of sharing and collaborating not only among researchers on the same field but also on the different field. (4) The impact of scholarly article on the social web can be seen from how many clicks, reads, shares, saves/downloads, discussions in a forum, adaptations, reviews of a scholarly article, etc.(5) To implement Altmetrics in the Library, the library will need to prepare (a) Altmetrics knowledge and skills for librarians (b) organization support (c) good willing to start (d) librarian assistantship to help writers or researchers to create scholarly article that has an impact.From Altmetrics, the scholar can (1) explore the impact of scholarly article; (2) manage the scholarly reputation. The result of this study can be a basic consideration for the librarians to develop their collection based on the impact of scholarly article and the requirement of users. Abstract in Bahasa Indonesia:Altmetrics adalah sebuah metode yang melengkapi metode tradisional untuk mengukur impact (dampak) dari sebuah karya ilmiah di lingkungan web sosial. Paper ini bertujuan untuk menjelaskan bagaimana pustakawan dapat mengimplementasikan Altmetrics di perpustakaan sehingga mereka dapat memberikan alternatif karya ilmiah yang mempunyai impact tinggi. Metode yang dipergunakan untuk mencapai tujuan ini adalah dengan menggunakan metode evaluasi. Paper ini memperlihatkan bahwa (1) pustakawan mempunyai peran penting dalam menyebarkan, melatih dan sebagai pendamping administratif untuk Altmetrics (2) Trend publikasi ilmiah saat ini adalah menggunakan format digital dengan dialog interaktif. Hal ini ditandai dengan peningkatan jumlah kehadiran akademisi di berbagai platform media sosial yang dapat meningkatkan efektifitas komunikasi diantara para peneliti (3) sosial media berperan dalam menunjang aktivitas sharing dan kolaborasi tidak hanya dikalangan peneliti dalam satu bidang yang sama, melainkan juga peneliti dalam beragam disiplin (multi disiplin) (4) Impact/dampak dari publikasi ilmiah di web sosial dapat dilihat dari seberapa banyak sebuah paper diklik, dibaca, dibagikan, disimpan/di-download, didiskusikan dalam sebuah forum, diadaptasi serta di-review (5) Untuk dapat mengimplementasikan Altmetrics di perpustakaan, perpustakaan memerlukan (a) pengetahuan dan keterampilan bagi pustakawan (b) dukungan organisasi (c) keinginan untuk mengimplementasikan Altmetrics (d) pendampingan pustskawan untuk membantu penulis atau peneliti membuat sebuah publikasi yang memiliki impact. Dari Altmetrics, akademisi dapat (1) mengeksplorasi impact dari artikel ilmiahnya (2) menjaga reputasi online. Penelitian ini dapat menjadi dasar bagi pustakawan dalam mengembangkan koleksi perpustakaan berdasarkan impact dari sebuah artikel dan kebutuhan pengguna.

What Are Digital Reputation Measures Worth?

2020 ◽  
pp. 208-227
Author(s):  
Dominique Cardon
Keyword(s):  
Social Media ◽  
Social Network ◽  
Salient Feature ◽  
Social Web ◽  
The Social ◽  
Multiple Uncertainties ◽  
Digital Identities

The notion of digital reputation was a salient feature of the rise of social media during the period from 2005 to 2012. Supported by a convergent set of discourses, interests, and devices, the ambition that fueled the development of the social web was to reflect the circulation of influence by considering that each node of the social network (i.e. the “digital identities” that appear on Facebook, Twitter, or LinkedIn pages) had a different reputation and that these differences could be measured. The aim of this chapter is to review this promise ten years later. Reputation metrics have appeared so contextual, relational, and manipulable that it has not been possible to provide interpretive conventions that are sufficiently stable to coordinate and redefine activities. E-reputation is thus local and defies any standardization. When faced with the multiple uncertainties encountered by fragile reputation measures, service designers tend increasingly to neglect this mode of valuation in favor of popularity and personalized prediction.

scholarly journals Atenção online de artigos do periódico Ciência e Agrotecnologia

2020 ◽  
Author(s):  
Nivaldo Calixto Ribeiro
Keyword(s):  
Social Media ◽  
The Internet ◽  
Social Web ◽  
Sources Of Information ◽  
Social Media Platform ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform ◽  
Online Attention ◽  
Web Social

As métricas são fundamentais para qualquer periódico de qualidade. Com elas, é possível analisar as citações e a repercussão de seus artigos em diversas fontes de informação na internet. A almetria analisa as métricas de um documento por meio da quantidade de compartilhamentos e outros atributos em mídias sociais. Nesta abordagem, esta pesquisa tem como objetivo analisar a atenção online de artigos da Ciência e Agrotecnologia na web social. As investigações incidem sobre a análise de como os leitores desse periódico mencionam os seus artigos em plataformas de mídias sociais. Como recurso metodológico, foi adotada a altmetria para verificar métricas relacionadas à atenção online sobre os artigos desse periódico, utilizando-se para a coleta de dados a ferramenta Altmetric.com. Foram identificadas apenas 43 menções de 36 artigos desse periódico. Foram realizadas 29 menções em plataformas de mídias sociais, 10 em sites de políticas/patentes, três na Wikipedia e um em vídeo. A ferramenta apontou que 35 delas obtiveram ao menos o Almetric Attetion Score equivalente a 1. A plataforma de mídia social com maior índice de menções foi o Twitter. Observou-se que há uma tímida atenção na web social, bem como poucas menções de publicações da Ciência e Agrotecnologia.---------------------------------------------------------------------------------------------Metrics are essential for any quality journal. With them it is possible to analyze the citations and the repercussion of your articles in several sources of information on the internet. Almetria analyzes the metrics of a document through the amount of shares and other attributes on social media. In this approach, this research aims to analyze the online attention of "Science & Agrotechnology" articles on the social web. The investigations focus on the analysis of how the readers of this journal mention their articles on social media platforms. As a methodological resource, altmetry was adopted to verify metrics related to online attention on the articles in this journal, using the Altmetric.com tool for data collection. It was identified that there were 49 screened outputs of articles from “Science and Agrotechnology”. Only 43 mentions of 36 articles from this journal were identified. 29 mentions were made on social media platforms, 10 on policy / patent sites, 3 on Wikipedia and one on video. The tool pointed out that 35 of them obtained at least the Almetric Attetion Score equivalent to 1. The social media platform with the highest index of mentions was Twitter. He noted that there is a shy attention on the social web, as well as few mentions of publications from “Science and Agrotechnology”.

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