scholarly journals #NaturalDye

2020 ◽  
Vol 3 (1) ◽  
Author(s):  
Kelsie Doty ◽  
Denise Nicole Green ◽  
Dehanza Rogers
Keyword(s):  
Social Media ◽  
Documentary Film ◽  
Natural Dyes ◽  
Imagined Communities ◽  
Imagined Community ◽  
Social Media Platforms ◽  
Creative Space ◽  
Types Of Information

Natural dyes from plants, insects, and fungi can be used to color yarns and textiles by craftspeople. Craft communities interested in natural dyes are using social media platforms such as Instagram to connect and share knowledge and to generate commerce for their products. #Naturaldye is a documentary film that explores the use of Instagram as a pedagogical, social, commercial, and creative space where dyers foster community and support businesses. Participants in the film discuss what types of information they find essential to articulate while also describing themselves as part of a community of other makers and artists. Theoretically, #Naturaldye is situated at the intersection of the circuit of style-fashion-dress (Kaiser, 2012) and imagined communities (Anderson, 1983). Social media platforms like Instagram enable articulation between fashion, textiles, commerce, and craftspeople where knowledge of natural dyes, dyers, and their work is conveyed to a wider array of individuals that become part of an imagined community through craft.

scholarly journals Review of Data Visualization for Social Media Postings

2018 ◽  
Vol 7 (4.38) ◽  
pp. 939
Author(s):  
Nur Atiqah Sia Abdullah ◽  
Hamizah Binti Anuar
Keyword(s):  
Social Media ◽  
Data Visualization ◽  
Line Graph ◽  
Data Types ◽  
Social Media Data ◽  
Data Analyst ◽  
The Social ◽  
Social Media Platforms ◽  
Types Of Information ◽  
Media Data

Facebook and Twitter are the most popular social media platforms among netizen. People are now more aggressive to express their opinions, perceptions, and emotions through social media platforms. These massive data provide great value for the data analyst to understand patterns and emotions related to a certain issue. Mining the data needs techniques and time, therefore data visualization becomes trending in representing these types of information. This paper aims to review data visualization studies that involved data from social media postings. Past literature used node-link diagram, node-link tree, directed graph, line graph, heatmap, and stream graph to represent the data collected from the social media platforms. An analysis by comparing the social media data types, representation, and data visualization techniques is carried out based on the previous studies. This paper critically discussed the comparison and provides a suggestion for the suitability of data visualization based on the type of social media data in hand.      

scholarly journals Machine Learning in Detecting COVID-19 Misinformation on Twitter

2021 ◽  
Vol 13 (10) ◽  
pp. 244
Author(s):  
Mohammed N. Alenezi ◽  
Zainab M. Alqenaei
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Short Term Memory ◽  
K Nearest Neighbors ◽  
Daily Lives ◽  
Frontline Workers ◽  
Detection Model ◽  
Social Media Platforms ◽  
Long Short Term Memory ◽  
Types Of Information

Social media platforms such as Facebook, Instagram, and Twitter are an inevitable part of our daily lives. These social media platforms are effective tools for disseminating news, photos, and other types of information. In addition to the positives of the convenience of these platforms, they are often used for propagating malicious data or information. This misinformation may misguide users and even have dangerous impact on society’s culture, economics, and healthcare. The propagation of this enormous amount of misinformation is difficult to counter. Hence, the spread of misinformation related to the COVID-19 pandemic, and its treatment and vaccination may lead to severe challenges for each country’s frontline workers. Therefore, it is essential to build an effective machine-learning (ML) misinformation-detection model for identifying the misinformation regarding COVID-19. In this paper, we propose three effective misinformation detection models. The proposed models are long short-term memory (LSTM) networks, which is a special type of RNN; a multichannel convolutional neural network (MC-CNN); and k-nearest neighbors (KNN). Simulations were conducted to evaluate the performance of the proposed models in terms of various evaluation metrics. The proposed models obtained superior results to those from the literature.

scholarly journals Predictive Analytical Model for Microblogging Data Using Asset Bubble Modelling

2020 ◽  
Vol 14 (2) ◽  
pp. 108-118
Author(s):  
Srinidhi Hiriyannaiah ◽  
Siddesh G.M. ◽  
Srinivasa K.G.
Keyword(s):  
Social Media ◽  
Information Diffusion ◽  
Predictive Analytics ◽  
Heterogeneous Systems ◽  
Asset Bubble ◽  
Proposed Model ◽  
Different Types ◽  
Social Media Platforms ◽  
Types Of Information ◽  
Better Than

In recent days, social media plays a significant role in the ecosystem of the big data world and its different types of information. There is an emerging need for collection, monitoring, analyzing, and visualizing the different information from various social media platforms in different domains like businesses, public administration, and others. Social media acts as the representative with numerous microblogs for analytics. Predictive analytics of such microblogs provides insights into various aspects of the real-world entities. In this article, a predictive model is proposed using the tweets generated on Twitter social media. The proposed model calculates the potential of a topic in the tweets for the prediction purposes. The experiments were conducted on tweets of the regional election in India and the results are better than the existing systems. In the future, the model can be extended for analysis of information diffusion in heterogeneous systems.

Social media use and information-sharing behaviour of university students

IFLA Journal ◽  
2021 ◽  
pp. 034003522199156
Author(s):  
Iqra Bashir ◽  
Amara Malik ◽  
Khalid Mahmood
Keyword(s):  
Social Media ◽  
University Students ◽  
Academic Discipline ◽  
Original Research ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Domains Of Life ◽  
Social Media Platforms ◽  
Use Of Social Media ◽  
Types Of Information

Social media has evolved over the last decade as a key driver for sharing and acquiring information in various domains of life. The increasing popularity of social media raises a number of questions regarding the extent of its use and the types of information shared. This study is designed to answer these questions by investigating university students’ use of social media in terms of commonly used social media platforms, frequency of use and the types of information shared. It also looks at differences of opinion based on gender, academic discipline and programme of study. The study is based on a cross-sectional survey; a structured questionnaire was developed and data was collected from 400 students at four universities in Faisalabad, Pakistan. The findings indicate that the majority of the students were frequent users of social media and visited platforms daily or several times a day. WhatsApp, Facebook and YouTube were the most widely used social media platforms. Male students tended to use social media more frequently than their female counterparts. This study will serve as a guideline for further research as it addresses an untouched area from a local perspective and reports original research.

Social media, online imagined communities and communication research

2014 ◽  
Vol 63 (6/7) ◽  
pp. 490-504 ◽  
Author(s):  
Androniki Kavoura
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Online Community ◽  
Online Communication ◽  
Imagined Communities ◽  
Communication Research ◽  
Imagined Community ◽  
Content Type ◽  
Information Professionals ◽  
Special Language

Purpose – This paper aims to examine social media communication that may consist of a database for online research and may create an online imagined community that follows special language symbols and shares common beliefs in a similar way to Anderson’s imagined communities. Design/methodology/approach – Well-known databases were searched in the available literature for specific keywords which were associated with the imagined community, and methodological tools such as online interviews, content analysis, archival analysis and social media. Findings – The paper discusses the use of multiple measures, such as document and archival analysis, online interviews and content analysis, which may derive from the online imagined community that social media create. Social media may in fact provide useful data that are available for research, yet are relatively understudied and not fully used in communication research, not to mention in archival services. Comparison takes place between online community’s characteristics and traditional communication research. Information and communication technologies (ICTs) and social media’s use of special language requirements may categorise discussion of these potential data, based on specific symbols, topical threads, purposeful samples and catering for longitudinal studies. Practical implications – Social media have not been fully implemented for online communication research yet. Online communication may offer significant implications for marketers, advertisers of a company or for an organisation to do research on or for their target groups. The role of libraries and information professionals can be significant in data gathering and the dissemination of such information using ICTs and renegotiating their role. Originality/value – The theoretical contribution of this paper is the examination of the creation of belonging in an online community, which may offer data that can be further examined and has all the credentials to do so, towards the enhancement of online communication research. The applications of social media to research and the use by and for information professionals and marketers may in fact contribute to the management of an online community with people sharing similar ideas. The connection of the online imagined community with social media for research has not been studied, and it would further enhance understanding from organisations or marketers.

scholarly journals Civic Action and Media Perceptions within the Wall: The (Re) Negotiation of Power in China

2013 ◽  
Vol 5 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Natalie Pang
Keyword(s):  
Social Media ◽  
Media Literacy ◽  
Structuration Theory ◽  
The Internet ◽  
Media Credibility ◽  
Social Media Platforms ◽  
Types Of Information ◽  
Trust Propensity ◽  
A Company ◽  
Power Negotiations

Little has been known about China’s policing of the Internet until recently, when researchers began publishing insights on the types of messages that gets deleted and permitted on various social media platforms, as well as whether or not such moderations are performed automatically. Many discussions have focused on how such efforts may undermine the democratic potential and civic actions that may be empowered and facilitated by the Internet. Two cases discussed in this paper show a different picture: the aftermath of a train collision in Wenzhou in 2011, and an elaborate plan by a company to take out its competition – both utilizing social media. Structuration theory is used to analyse the types of agency, structures, and power negotiations that can be observed in both cases. The paper then reports a survey carried out with 499 participants on their perceptions of both cases, focusing on how trust propensity and types of information may shape their perceptions of media credibility. Results show that trust propensity was only significant in shaping perceptions of credibility for social media, but the types of information is significant in shaping perceptions of credibility for both mainstream and social media. Implications are drawn for media literacy as well as how civic actions function within China.

MOBILE SOCIAL MEDIA

2018 ◽  
Vol 8 (3) ◽  
pp. 8
Author(s):  
PHILIP ADEBO
Keyword(s):  
Social Media ◽  
Mobile Apps ◽  
Social Revolution ◽  
Social Media Platforms ◽  
The Way

The emergence of mobile connectivity is revolutionizing the way people live, work, interact, and socialize. Mobile social media is the heart of this social revolution. It is becoming a global phenomenon as it enables IP-connectivity for people on the move. Popular social media platforms such as Facebook, Twitter, and MySpace have made mobile apps for their users to have instant access from anywhere at any time. This paper provides a brief introduction into mobile social media, their benefits, and challenges.

Representasi Feminisme dalam Video Klip ‘Nightmare’ oleh Halsey

Koneksi ◽  
2020 ◽  
Vol 4 (2) ◽  
pp. 338
Author(s):  
Faiz Zulia Maharany ◽  
Ahmad Junaidi
Keyword(s):  
Qualitative Research ◽  
Social Media ◽  
Data Collection ◽  
Mass Communication ◽  
Video Clip ◽  
Charles Sanders Peirce ◽  
Patriarchal Culture ◽  
The Social ◽  
Social Media Platforms ◽  
Barrier Wall

'Nightmare' is the title of a video clip belonging to a singer and singer called Halsey, in which the video clip is explained about the figure of women who struggle against patriarchal culture which has been a barrier wall for women to get their rights, welfare and the equality needed they get. This research uses descriptive qualitative research methods. Data collection techniques are done through documentation, observation and study of literature. Then, analyzed using Charles Sanders Peirce's semiotics technique. The results of this study show the fact that signs, symbols or messages representing feminism in the video, 'Nightmare' clips are presented through scenes that present women's actions in opposing domination over men and sarcastic sentences contained in the lyrics of the song to discuss with patriarchy. Youtube as one of the social media platforms where the 'Nightmare' video clip is uploaded is very effective for mass communication and for conveying the message contained in the video clip to the viewing public.‘Nightmare’ adalah judul video klip milik musisi sekaligus penyanyi yang bernama Halsey, dimana pada Video klipnya tersebut menceritakan tentang figur perempuan-perempuan yang berusaha melawan budaya patriarki yang selama ini telah menjadi dinding penghalang bagi perempuan untuk mendapatkan hak-haknya, keadilan dan kesetaraan yang seharusnya mereka dapatkan. Penelitian ini menggunakan metode penelitian kualitatif deskriptif. Teknik pengumpulan data dilakukan melalui dokumentasi, observasi dan studi kepustakaan. Kemudian, dianalisis menggunakan teknik semiotika milik Charles Sanders Peirce. Hasil penelitian ini menunjukan bahwa terdapat tanda-tanda, simbol atau pesan yang merepresentasikan feminisme di dalam video klip ‘Nightmare’ yang dihadirkan melalui adegan-adegan yang menyajikan aksi perempuan dalam menolak dominasi atas laki-laki dan kalimat-kalimat sarkas yang terkandung dalam lirik lagunya untuk ditujukan kepada patriarki. Youtube sebagai salah satu platform media sosial dimana video klip ‘Nightmare’ diunggah sangat efektif untuk melakukan komunikasi massa dan untuk menyampaikan pesan yang terkandung di dalam video klip tersebut kepada masyarakat yang menonton.

Kim Kardashian: the Leader of the Influencers

2019 ◽  
Author(s):  
Laila Fariha Zein ◽  
Adib Rifqi Setiawan
Keyword(s):  
Social Media ◽  
The United States ◽  
Armenian Genocide ◽  
The Public ◽  
Self Defense ◽  
Global Commerce ◽  
The World ◽  
Social Media Platforms ◽  
International Issues ◽  
Global Influence

In today’s world, it is easier and easier to stay connected with people who are halfway across the world. Social media and a globalizing economy have created new methods of business, trade and socialization resulting in vast amounts of communication and effecting global commerce. Like her or hate her, Kimberly Noel Kardashian West as known as Kim Kardashian has capitalized on social media platforms and the globalizing economy. Kim is known for two things: famous for doing nothing and infamous for a sex tape. But Kim has not let those things define her. With over 105 million Instagram followers and 57 million Twitter followers, Kim has become a major global influence. Kim has travelled around the world, utilizing the success she has had on social media to teach make-up master classes with professional make-up artist, Mario Dedivanovic. She owns or has licensed several different businesses including: an emoji app, a personal app, a gaming app, a cosmetics line, and a fragrance line. Not to be forgotten, the Kardashian family show, ‘Keeping Up with the Kardashians’ has been on the air for ten years with Kim at the forefront. Kim also has three books: ‘Kardashian Konfidential’, ‘Dollhouse’, and ‘Selfish’. With her rising social media following, Kim has used the platforms to show her support for politicians and causes, particularly, recognition of the Armenian genocide. Kim also recently spoke at the Forbes’ women’s summit. Following the summit, Kim tweeted out her support for a recent movement on Twitter, #freeCyntoiaBrown which advocated for a young woman who claimed to have shot and killed the man who held her captive as a teenage sex slave in self-defense. Kim had her own personal lawyers help out Cyntoia on her case. Kim has also moved beyond advocating for issues within the confines of the United States. As mentioned earlier, she is known for advocating for recognition of the Armenian genocide. In the last two years, her show has made it a point to address the Armenian situation as it was then and as it is now. Kim has been recognized as a global influencer by others across the wordl. We believe Kim has become the same as political leaders when it comes to influencing the public. Kim’s story reveals that the new reality creates a perfect opportunity for mass disturbances or for initiating mass support or mass disapproval. Although Kim is typically viewed for her significance to pop culture, Kim’s business and social media following have placed her deep into the mix of international commerce. As her businesses continue to grow and thrive, we may see more of her influence on international issues and an increase in the commerce from which her businesses benefit.

“I’ll Take a Shot for Every Like I Get on This Status”: Posting Alcohol- related Facebook Content Predicts Drinking Outcomes

2018 ◽  
Author(s):  
Erin Corwin Westgate ◽  
Kristen Lindgren
Keyword(s):  
Social Media ◽  
Alcohol Use ◽  
Pacific Northwest ◽  
Alcohol Use Disorders ◽  
Drinking Motives ◽  
The Pacific ◽  
Social Media Platforms ◽  
And Coping ◽  
Drinking Outcomes ◽  
Alcohol Related Problems

Objective:This study investigated whether self-reports of alcohol-related postings on Facebook by oneself or one’s Facebook friends were related to common motives for drinking and were uniquely predictive of self-reported alcohol outcomes (alcohol consumption, problems, and cravings).Method:Pacific Northwest undergraduates completed a survey of alcohol outcomes, drinking motives, and alcoholrelated Facebook postings. Participants completed the survey online as part of a larger study on alcohol use and cognitive associations. Participants were randomly selected through the university registrar’s office and consisted of 1,106 undergraduates (449 men, 654 women, 2 transgender, 1 declined to answer) between the ages of 18 and 25 years (M = 20.40, SD = 1.60) at a large university in the Pacific Northwest. Seven participants were excluded from analyses because of missing or suspect data.Results:Alcohol-related postings on Facebook were significantly correlated with social, enhancement, conformity, and coping motives for drinking (all ps < .001). After drinking motives were controlled for, self–alcohol-related postings independently and positively predicted the number of drinks per week, alcohol-related problems, risk of alcohol use disorders, and alcohol cravings (all ps < .001). In contrast, friends’ alcohol-related postings only predicted the risk of alcohol use disorders (p < .05) and marginally predicted alcohol-related problems (p = .07).Conclusions:Posting alcohol-related content on social media platforms such as Facebook is associated with common motivations for drinking and is, in itself, a strong predictive indicator of drinking outcomes independent of drinking motives. Moreover, self-related posting activity appears to be more predictive than Facebook friends’ activity. These findings suggest that social media platforms may be a useful target for future preventative and intervention efforts.

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