scholarly journals SELF-PORTRAITS IN SOCIAL MEDIA: MEANS OF COMMUNICATING EMOTION THROUGH VISUAL CONTENT-SHARING APPLICATIONS

2019 ◽  
Vol 18 (0) ◽  
pp. 133 ◽  
Keyword(s):  
Social Media ◽  
Visual Content ◽  
Content Sharing

Selfie-marketing: exploring narcissism and self-concept in visual user-generated content on social media

2018 ◽  
Vol 35 (1) ◽  
pp. 11-21 ◽  
Author(s):  
Alexa K. Fox ◽  
Todd J. Bacile ◽  
Chinintorn Nakhata ◽  
Aleshia Weible
Keyword(s):  
Social Media ◽  
Online Survey ◽  
User Generated Content ◽  
Self Concept ◽  
Visual Content ◽  
Structured Interviews ◽  
Content Type ◽  
Content Sharing ◽  
Grounded Theory Method ◽  
Research Propositions

Purpose The present research aims to examine selfie-marketing from a consumer behavior perspective. Creating and sharing selfies are gaining popularity among millennials. The authors seek to understand how this popularity relates to classic research on narcissism and self-concept and to determine the effectiveness of selfie-marketing in visual user-generated content. Design/methodology/approach A mixed methods approach is used across two studies. Study 1’s qualitative exploration uses the grounded theory method by analyzing semi-structured interviews with millennials. The findings produce three research propositions. These propositions are further developed into testable hypotheses in Study 2’s quantitative investigation, featuring analysis of the variance of online survey data collected from millennials. Findings The findings suggest that narcissism positively relates to millennials’ attitudes toward and intent to participate in selfie-marketing on visual content-sharing apps. Results also demonstrate that millennials seek to use selfies to present their self-concepts differently in various visual content-sharing environments. Originality/value The present research is among the first to focus on the importance of self-presentation and narcissism in regard to consumers’ attitudes and behavioral responses toward selfie-marketing. For marketers, this underscores the importance of understanding the unique nature of user-generated visual content on social media.

scholarly journals Toys as Tools for Skill-building and Creativity in Adult Life

Seminar.net ◽  
2015 ◽  
Vol 11 (2) ◽  
Author(s):  
Katriina Heljakka
Keyword(s):  
Social Media ◽  
Adult Life ◽  
Visual Content ◽  
Content Sharing ◽  
Toy Play ◽  
Do It Yourself ◽  
Skill Building ◽  
Photo Management

Previous understandings of adult use of toys are connected with ideas of collecting and hobbying, not playing. This study aims to address toys as play objects employed in imaginative scenarios and as learning devices. This article situates toys (particularly, character toys such as Blythe dolls) as socially shared tools for skill-building and learning in adult life. The interviews with Finnish doll players and analyses of examples of their productive, toy-related play patterns showcased in both offline and digital playscapes reveal how toy play leads to skill-building and creativity at a mature age.The meanings attached to and developed around playthings expand purposely by means of digital and social media. (Audio)visual content-sharing platforms, such as Flickr, Pinterest, Instagram and YouTube, invite mature audiences to join playful dialogues involving mass-produced toys enhanced through do-it-yourself practices. Activities circulated in digital play spaces, such as blogs and photo management applications, demonstrate how adults, as non-professional ‘everyday players’, approach, manipulate and creatively cultivate contemporary playthings. Mature players educate potential players by introducing how to use and develop skills by sharing play patterns associated with their playthings. Producing and broadcasting tutorials on how to play creatively with toys encourage others to build their skills through play.

Conflict Detection Techniques for Preserving Privacy in Social Media

2018 ◽  
pp. 78-85
Author(s):  
Fulpagare Priya K. ◽  
Nitin N. Patil
Keyword(s):  
Social Media ◽  
Privacy Management ◽  
Crucial Importance ◽  
Network Integration ◽  
Critical Problem ◽  
Detection Techniques ◽  
Privacy Preferences ◽  
Content Sharing ◽  
Privacy Settings ◽  
Relationship Network

Social Network is an emerging e-service for Content Sharing Sites (CSS). It is an emerging service which provides reliable communication. Some users over CSS affect user’s privacy on their personal contents, where some users keep on sending annoying comments and messages by taking advantage of the user’s inherent trust in their relationship network. Integration of multiple user’s privacy preferences is very difficult task, because privacy preferences may create conflict. The techniques to resolve conflicts are essentially required. Moreover, these methods need to consider how users would actually reach an agreement about a solution to the conflict in order to offer solutions acceptable by all of the concerned users. The first mechanism to resolve conflicts for multi-party privacy management in social media that is able to adapt to different situations by displaying the enterprises that users make to reach a result to the conflicts. Billions of items that are uploaded to social media are co-owned by multiple users. Only the user that uploads the item is allowed to set its privacy settings (i.e. who can access the item). This is a critical problem as users’ privacy preferences for co-owned items can conflict. Multi-party privacy management is therefore of crucial importance for users to appropriately reserve their privacy in social media.

scholarly journals Framing of visual content shown on popular social media may affect viewers’ attitudes to threatened species

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Fernando Ballejo ◽  
Pablo Ignacio Plaza ◽  
Sergio Agustín Lambertucci
Keyword(s):  
Social Media ◽  
Threatened Species ◽  
Social Medium ◽  
Visual Content ◽  
Wildlife Species ◽  
Mammalian Predators ◽  
Negative Comments ◽  
Over Time ◽  
The Way

AbstractContent published on social media may affect user’s attitudes toward wildlife species. We evaluated viewers’ responses to videos published on a popular social medium, focusing particularly on how the content was framed (i.e., the way an issue is conveyed to transmit a certain meaning). We analyzed videos posted on YouTube that showed vultures interacting with livestock. The videos were negatively or positively framed, and we evaluated viewers’ opinions of these birds through the comments posted. We also analyzed negatively framed videos of mammalian predators interacting with livestock, to evaluate whether comments on this content were similar to those on vultures. We found that the framing of the information influenced the tone of the comments. Videos showing farmers talking about their livestock losses were more likely to provoke negative comments than videos not including farmer testimonies. The probability of negative comments being posted on videos about vultures was higher than for mammalian predators. Finally, negatively framed videos on vultures had more views over time than positive ones. Our results call for caution in the presentation of wildlife species online, and highlight the need for regulations to prevent the spread of misinformed videos that could magnify existing human-wildlife conflicts.

Fun with Dick and Dick: Homosociality on r/MassiveCock

Sexualities ◽  
2020 ◽  
pp. 136346072096130
Author(s):  
Rhiannon Bury ◽  
Lee Easton
Keyword(s):  
Social Media ◽  
Discourse Analysis ◽  
Gay Men ◽  
Hegemonic Masculinity ◽  
Gay Identity ◽  
Cultural Shift ◽  
Content Sharing ◽  
And Function ◽  
Selection Of

Social media and content-sharing platforms provide new opportunities for the circulation of not only professional and amateur porn productions but also “pornographic self-representation”. This study examines the interactions that occur when male pornographic self-representation is shared in an inclusive space that welcomes both straight and gay men to post dick pics and gaze/comment on them. Focusing on the Reddit forum, Massive Cock, we conducted a discourse analysis of a selection of posts, comments and account profiles collected over a seven-month period. Based on our findings, we contend that Massive is a homosocial space where homoerotic dick gazing reaffirms and disrupts the heterosexual–homosexual binary. Our findings point to an uneven dynamic in which the majority of the posters perform a straight identity, whereas the majority of commenters perform a gay identity. Their comments serve to disrupt hegemonic masculinity and, in turn, create a space that welcomes mostly straight and bi-curious performances of masculinity. Such performances are possible due to recent cultural shift away from homo-hysteria and towards a more inclusive heteromasculinity. Collectively these performances produce an inclusive “fraternity of the cock”, but it is one which maintains a heterocentric focus and function.

Suggesting text alternatives for images in social media

2021 ◽  
pp. 1-6
Author(s):  
Letícia Seixas Pereira ◽  
João Guerreiro ◽  
André Rodrigues ◽  
André Santos ◽  
João Vicente ◽  
...  
Keyword(s):  
Social Networks ◽  
Social Media ◽  
Shared Responsibility ◽  
User Generated Content ◽  
Media Content ◽  
Android Application ◽  
Image Description ◽  
Visual Content ◽  
Considerable Part ◽  
The Web

Image description has been a recurrent topic on web accessibility over the years. With the increased use of social networks, this discussion is even more relevant. Social networks are responsible for a considerable part of the images available on the web. In this context, users are not only consuming visual content but also creating it. Due to this shared responsibility of providing accessible content, major platforms must go beyond accessible interfaces. Additional resources must also be available to support users in creating accessible content. Although many of today's services already support accessible media content authoring, current efforts still fail to properly integrate and guide their users through the authoring process. One of the consequences is that many users are still unaware of what an image description is, how to provide it, and why it is necessary. We present SONAAR, a project that aims to improve the accessibility of user-generated content on social networks. Our approach is to support the authoring and consumption of accessible social media content. Our prototypes currently focus on Twitter and Facebook and are available as an Android application and as a Chrome extension.

Multidimensional Mappings of Political Accounts for Malicious Political Socialbot Identification

2019 ◽  
pp. 263-348
Author(s):  
Shalin Hai-Jew
Keyword(s):  
Social Media ◽  
Information Warfare ◽  
Russian Government ◽  
Web Based ◽  
Content Sharing ◽  
Social Media Platforms ◽  
Media Platform ◽  
Strategic Messaging ◽  
Geographical Locations ◽  
The U.S

Malicious political socialbots used to sway public opinion regarding the U.S. government and its functions have been identified as part of a larger information warfare effort by the Russian government. This work asks what is knowable from a web-based sleuthing approach regarding the following four factors: 1) the ability to identify malicious political socialbot accounts based on their ego neighborhoods at 1, 1.5, and 2 degrees; 2) the ability to identify malicious political socialbot accounts based on the claimed and linked geographical locations of their accounts, their ego neighborhoods, and their #hashtag networks; 3) the ability to identify malicious political socialbot accounts based on their strategic messaging (content, sentiment, and language structures) on respective social media platforms; and 4) the ability to identify and describe “maliciousness” in malicious political socialbot accounts based on observable behaviors on that account on three social media platform types: (a) microblogging, (b) social networking, and (c) crowd-sourced encyclopedia content sharing.

scholarly journals Platforms as service ecosystems: Lessons from social media

2019 ◽  
Vol 35 (1) ◽  
pp. 25-48 ◽  
Author(s):  
Cristina Alaimo ◽  
Jannis Kallinikos ◽  
Erika Valderrama
Keyword(s):  
Social Media ◽  
Data Types ◽  
Dynamic Data ◽  
Content Sharing ◽  
Social Media Platforms ◽  
Service Ecosystems ◽  
Media Platform ◽  
Three Stages ◽  
Platforms And Ecosystems ◽  
Service Ecosystem

The growing business expansion of social media platforms is changing their identity and transforming the practices of networking, data and content sharing with which social media have been commonly associated. We empirically investigate these shifts in the context of TripAdvisor and its evolution since its very establishment. We trace the mutations of the platform along three stages we identify as search engine, social media platform and end-to-end service ecosystem. Our findings reveal the underlying patterns of data types, technological functionalities and actor configurations that punctuate the business expansion of TripAdvisor and lead to the formation of its service ecosystem. We contribute to the understanding of the current trajectory in which social media find themselves as well as to the literature on platforms and ecosystems. We point out the importance of services that develop as commercially viable and constantly updatable data bundles out of diverse and dynamic data types. Such services are essential to the making of the complementarities that are claimed to underlie ecosystem formation.

scholarly journals DIMENSI SOCIAL MEDIA MARKETING DALAM MENINGKATKAN KEPUTUSAN PEMBELIAN PRODUK UMKM DI WILAYAH BOYOLALI DENGAN KEMAMPUAN INOVASI SEBAGAI VARIABEL MEDIASI

ProBank ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 36-44
Author(s):  
Septiana Novita Dewi ◽  
Joko Sekti Riyadi ◽  
Aris Tri Haryanto
Keyword(s):  
Social Media ◽  
Structural Equation Modelling ◽  
Random Sampling ◽  
Structural Equation ◽  
Community Building ◽  
Social Media Marketing ◽  
Content Creation ◽  
Content Sharing ◽  
Equation Modelling

ABSTRAKTujuan penelitian adalah mengetahui secara empiris pengaruh dimensi social media marketing terhadap keputusan pembelian yang diharapkan dapat memberikan kontribusi positif berupa penguatan terhadap pandangan-pandangan teoritik mengenai keterkaitan antara content creation, content sharing, conneting dan community bulding terhadap kemampuan inovasi dan keputusan pembelian.Populasi dalam penelitian ini adalah seluruh UMKM di wilayah Boyolali yang terdaftar di Dinas Koperasi & UKM Kabupaten Boyolali pada bulan Januari 2019. Sampel yang diteliti adalah sejumlah 190 responden dengan mengkalikan jumlah parameter yaitu 19x10=190. Teknik pengambilan sampel menggunakan random sampling. Teknik análisis menggunakan Structural Equation Modelling (SEM). Hasil penelitian menunjukkan content creation, content sharing, conneting dan community bulding berpengaruh positif signifikan terhadap kemampuan inovasi. Content creation dan content sharing berpengaruh positif tidak signifikan terhadap keputusan pembelian. Conneting, community bulding dan kemampuan inovasi berpengaruh positif signifikan terhadap keputusan pembelian. Pengaruh tidak langsung lebih besar dibandingkan pengaruh langsung, sehingga dengan menggunakan kemampuan inovasi sebagai variabel mediasi adalah tepat. Keywords: Content creation, Content sharing, Conecting, Community Building, Kemampuan Inovasi, Keputusan Pembelian

scholarly journals Identifying Social Media Influencers using Graph Analytics

2020 ◽  
Author(s):  
Pankti Joshi ◽  
Sabah Mohammed
Keyword(s):  
Social Media ◽  
Community Structure ◽  
Social Network ◽  
Network Analysis ◽  
Unstructured Data ◽  
Graph Analytics ◽  
Content Sharing ◽  
Twitter Data ◽  
Data Graph ◽  
Flow Of Information

<div>Social network analysis has been an essential topic</div><div>with broad content sharing from social media. Defining the</div><div>directed links in social media determine the flow of information and indicates the user’s influence. Due to the enormous data and unstructured nature of sharing information, there are several challenges caused while handling data. Graph Analytics proves to be an essential tool for addressing problems such as building networks from unstructured data, inferring information from the system, and analyzing the community structure of a network. The proposed approach aims to determine the influencers on Twitter data, based on the follower’s count as well as the retweet count. Several graph-based algorithms are implemented on the data collected to find the influencer as well as communities in the network.</div>

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