From Bricks to Clicks: How Digital Heritage Initiatives Create a New Ecosystem for Cultural Heritage and Collective Remembering

2021 ◽  
pp. 019685992110411
Author(s):  
Brant Burkey
Keyword(s):  
Social Media ◽  
Cultural Heritage ◽  
Qualitative Studies ◽  
The Past ◽  
Historical Societies ◽  
Digital Heritage ◽  
Social Media Platforms ◽  
Collective Remembering ◽  
Extended View ◽  
Depth Interviews

Cultural heritage institutions, such as museums, libraries, archives, and historical societies, are increasingly using digital heritage initiatives and social media platforms to connect and interact with their heritage communities. This creates a new memory ecosystem whereby heritage communities are invited to contribute, participate with, and share more of what they are interested in collectively remembering, rather than simply accepting the authoritative narratives of heritage institutions, which raises questions about what this means for cultural heritage writ large and whose versions of the past these heritage communities will hold onto as their digital inheritance. The primary contributions of this article are to provide both an extended view of the issue by building on several qualitative studies involving in-depth interviews and digital observations with eight cultural heritage communities over a five-year period and to better understand how their digital heritage initiatives are creating a new ecosystem for cultural heritage and collective remembering.

Total Recall: How Cultural Heritage Communities Use Digital Initiatives and Platforms for Collective Remembering

2019 ◽  
Vol 14 (3) ◽  
pp. 235-253
Author(s):  
Brant Burkey
Keyword(s):  
Social Media ◽  
Cultural Heritage ◽  
Digital Age ◽  
Total Recall ◽  
Digital Collections ◽  
Digital Heritage ◽  
Collective Remembering ◽  
Media Applications ◽  
Depth Interviews ◽  
Research Collective

This article argues that digital heritage initiatives, where cultural heritage institutions offer more interactive possibilities with their digital collections through multimodal platforms and social media applications, provide new territory for memory scholars to explore how heritage communities collectively remember in the digital age. Through in-depth interviews and participant observations of practitioners and participants from three cultural heritage institutions, the findings show that digital heritage initiatives offer new circumstances and venues to observe, interpret, and research collective remembering, as well as illustrate how heritage communities can use these multimodal platforms as means for sharing collective remembrance.

scholarly journals The Nested Precarities of Creative Labor on Social Media

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110213
Author(s):  
Brooke Erin Duffy ◽  
Annika Pinch ◽  
Shruti Sannon ◽  
Megan Sawey
Keyword(s):  
Social Media ◽  
Cultural Production ◽  
Ecological Model ◽  
Creative Economy ◽  
Cultural Industries ◽  
Professional Success ◽  
Social Media Platforms ◽  
The Media ◽  
Depth Interviews

While metrics have long played an important, albeit fraught, role in the media and cultural industries, quantified indices of online visibility—likes, favorites, subscribers, and shares—have been indelibly cast as routes to professional success and status in the digital creative economy. Against this backdrop, this study sought to examine how creative laborers’ pursuit of social media visibility impacts their processes and products. Drawing upon in-depth interviews with 30 aspiring and professional content creators on a range of social media platforms—Instagram, YouTube, TikTok, Pinterest, and Twitter—we contend that their experiences are not only shaped by the promise of visibility, but also by its precarity. As such, we present a framework for assessing the volatile nature of visibility in platformized creative labor, which includes unpredictability across three levels: (1) markets, (2) industries, and (3) platform features and algorithms. After mapping out this ecological model of the nested precarities of visibility, we conclude by addressing both continuities with—and departures from—the earlier modes of instability that characterized cultural production, with a focus on the guiding logic of platform capitalism.

scholarly journals Quantified Nostalgia: Social Media, Metrics, and Memory

2021 ◽  
Vol 7 (2) ◽  
pp. 205630512110088
Author(s):  
Benjamin N. Jacobsen ◽  
David Beer
Keyword(s):  
Social Media ◽  
Focus Group ◽  
Qualitative Interviews ◽  
The Past ◽  
Group Data ◽  
Focus Group Data ◽  
Social Media Platforms ◽  
Memory Practices ◽  
The Relationship

As social media platforms have developed over the past decade, they are no longer simply sites for interactions and networked sociality; they also now facilitate backwards glances to previous times, moments, and events. Users’ past content is turned into definable objects that can be scored, rated, and resurfaced as “memories.” There is, then, a need to understand how metrics have come to shape digital and social media memory practices, and how the relationship between memory, data, and metrics can be further understood. This article seeks to outline some of the relations between social media, metrics, and memory. It examines how metrics shape remembrance of the past within social media. Drawing on qualitative interviews as well as focus group data, the article examines the ways in which metrics are implicated in memory making and memory practices. This article explores the effect of social media “likes” on people’s memory attachments and emotional associations with the past. The article then examines how memory features incentivize users to keep remembering through accumulation. It also examines how numerating engagements leads to a sense of competition in how the digital past is approached and experienced. Finally, the article explores the tensions that arise in quantifying people’s engagements with their memories. This article proposes the notion of quantified nostalgia in order to examine how metrics are variously performative in memory making, and how regimes of ordinary measures can figure in the engagement and reconstruction of the digital past in multiple ways.

Social Media and Emotional Well-being: Pursuit of Happiness or Pleasure

2021 ◽  
pp. 1326365X2110037
Author(s):  
D. Guna Graciyal ◽  
Deepa Viswam
Keyword(s):  
Social Media ◽  
Social Networking ◽  
Virtual World ◽  
Mixed Methods Research ◽  
Well Being ◽  
Pursuit Of Happiness ◽  
Social Dysfunction ◽  
Combining Data ◽  
Social Media Platforms ◽  
Depth Interviews

Virtual engagement of lives has been made possible with the advent of social media. Almost 80% of the day are spent virtually on Facebook, Instagram, Twitter, YouTube, Snapchat, etc. Usage of social media to connect to and communicate with the ones we care about is always healthy, termed as social networking. Social dysfunction occurs when the constant communication leads to the point where our real or offline life gets replaced by virtual or online life. There is a slight boundary between social networking and social dysfunction. When social networking is advantageous, social dysfunction affects emotional well-being. When emotional well-being is affected, many users experience a compulsion to dissociate from the real world as they find virtual world, full of fantasy and enjoyment. When the Internet was created, perhaps no one was aware of its potential. More than the convenience for sharing of information it has brought the world so close to crumbling the geographical boundaries. The more people-to-people communication is, the more is the strengthening of relationships, bonds grow stronger with ‘more’ social media platforms. Being on ‘more’ social media platforms has become a benchmark for living amidst the younger generation. Either as an activity of happiness or as an activity of pleasure, users tend to use social media at varying levels. This paper aims to conceptualize the the intricacies of social media in young lives and to discern whether their association is happiness or pleasure activity. The research method of this paper has a mixed-methods research design combining data from structured survey with information outputs from in-depth interviews.

scholarly journals Explaining Donation Behavior in Medical Crowdfunding in Social Media

SAGE Open ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 215824402110145
Author(s):  
Zhengwei Huang ◽  
Jing Ouyang ◽  
Xiaohong Huang ◽  
Yanni Yang ◽  
Ling Lin
Keyword(s):  
Social Media ◽  
Interpersonal Relationship ◽  
Elaboration Likelihood ◽  
Perceived Trust ◽  
Likelihood Model ◽  
Social Media Platforms ◽  
Perceived Behavior Control ◽  
Donation Behavior ◽  
Depth Interviews ◽  
Social Media Network

Medical crowdfunding in social media is growing to be a convenient, accessible, and secure manner to cover medical expenses. It differs from traditional donation initiatives and medical crowdfunding on non-social media platforms in that projects are disseminated via social media network and among acquaintances. Through semi-structured in-depth interviews on donation behaviors of 52 respondents, this study uses grounded theory to extract seven main categories that affect medical crowdfunding donation behavior in social media, namely interpersonal relationship, reciprocity of helping, attitude toward donation, perceived behavior control, perceived trust, project information, and characteristics of patients. In the spirit of Elaboration Likelihood Model, we develop a theoretical framework that the seven factors influence donation behavior in medical crowdfunding in social media via a central and a peripheral route.

scholarly journals Strategi Konservasi Guna Mempertahankan Identitas Arsitektur Pura Situs di Desa Sibang (Pengurangan Resiko Sosial, Ekonomi, dan Arsitektural)

2019 ◽  
Vol 2 (1) ◽  
pp. 68
Author(s):  
Ni Putu Ratih Pradnyaswari Anasta Putri ◽  
I Putu Adi Widiantara
Keyword(s):  
Data Analysis ◽  
Cultural Heritage ◽  
Qualitative Data ◽  
Conservation Strategy ◽  
The Real ◽  
The Past ◽  
Depth Interview ◽  
History Of ◽  
Depth Interviews ◽  
Site Conservation

Abstract: Pura is one of Balinese architectural works that serves as a place of worship for Hindus. Pura as one of the local wisdom of the Balinese people is often associated with the identity of a region and cultural heritage. Pura is considered as one of the real proofs of the history of history from the past until now. The rolling of time and time, and the absence of adequate historical documentation regarding temples in Bali caused changes and developments that often did not match the standard. Many factors can be said to be the cause of changes or developments in a temple, including: (1) lack of documentation; (2) understanding of local people who are still minimal in the process of building a temple; (3) the absence of rules, awig-awig, or guidelines regarding the process of building a temple; (4) the people's desire to carry out practical and inexpensive temple renovation processes; and (5) people's insensitivity to the identity of their territory. Sites that have historical value are instead replaced with new or current models that are not necessarily based on original literature from previous ancestral orders. Seeing this phenomenon, researchers believe that there needs to be a preservation effort, namely a conservation strategy so that changes and developments can be overcome and controlled according to their portion. This research was carried out in an exploratory manner with qualitative data analysis, which explores data in depth through in-depth interviews.                                     Keywords : Pura, Site, Conservation, IdentityAbstrak: Pura merupakan salah satu karya arsitektur Bali yang berfungsi sebagai tempat ibadah bagi umat Hindu. Pura sebagai salah satu kearifan lokal masyarakat Bali seringkali dikaitkan dengan identitas suatu wilayah dan warisan budaya. Pura dianggap sebagai salah satu bukti nyata perjalanan sejarah dari masa lampau hingga sekarang. Bergulirnya waktu dan jaman, serta tidak adanya dokumentasi sejarah yang memadai mengenai pura-pura di Bali menyebabkan terjadinya perubahan dan perkembangan yang seringkali tidak sesuai pakemnya. Banyak faktor yang dapat dikatakan sebagai penyebab dalam perubahan ataupun perkembangan sebuah pura, antara lain : (1) tidak adanya dokumentasi; (2) pemahaman masyarakat setempat yang masih minim terhadap proses pembangunan sebuah pura; (3) tidak adanya aturan, awig-awig, ataupun guidelines mengenai proses pembangunan sebuah pura; (4) keinginan masyarakat untuk melakukan proses renovasi pura dengan praktis dan murah; dan (5) ketidakpekaan masyarakat akan identitas wilayahnya. Situs-situs yang memiliki nilai historis malah diganti dengan model kebaruan atau kekinian yang belum tentu berdasarkan sastra asli dari tatanan leluhur sebelumnya. Melihat fenomena tersebut, peneliti meyakini perlu adanya sebuah upaya pelestarian yaitu strategi konservasi sehingga perubahan dan perkembangan dapat diatasi dan dikendalikan sesuai dengan porsinya. Penelitian ini dilakukan secara eksploratif dengan analisis data kualitatif, dimana menggali data sedalam-dalamnya melalui wawancara mendalam (in depth interview).Kata Kunci: Pura, Situs, Konservasi, Identitas

Scientific Mapping of Social Media in Education: A Decade of Exponential Growth

2020 ◽  
pp. 073563312097201
Author(s):  
Jessie S. Barrot
Keyword(s):  
Social Media ◽  
Scientific Literature ◽  
Scientific Output ◽  
Media In Education ◽  
The Past ◽  
Steady Growth ◽  
Social Media Platforms ◽  
Geographical Scope ◽  
Bibliometric Approach ◽  
Social Media In Education

Given the increasing number of research on social media for educational purposes, few studies have examined the scientific literature in this field of interest. However, reviews that comprehensively mapped this research landscape in a broader view remain very limited. It is on this premise that the current study identifies the growth trajectory, distribution, and topical foci of scientific literature on social media in education published between 2007 and 2019. A total of 2,215 documents from Scopus-indexed journals were analysed. Using a bibliometric approach, the findings show a steady growth of scientific output and citations and the expansion of the topical foci in the past decade. Of the 15 examined social media platforms, Facebook, Twitter, and YouTube have attracted the greatest attention, while the rest remained underexplored or unexplored. The popularity of certain platforms among scholars was attributed to three factors: the number of active users, the pedagogical affordances, and the geographical scope. Implications for future studies are discussed.

scholarly journals A Review of the Role of Social Media for the Cultural Heritage Sustainability

2020 ◽  
Author(s):  
Xiaoxu Liang ◽  
Yanjun Lu ◽  
John Martin
Keyword(s):  
Social Media ◽  
Cultural Heritage ◽  
Information And Communication Technologies ◽  
Urban Landscape ◽  
Heritage Management ◽  
Heritage Conservation ◽  
Sustainable Urban Development ◽  
Rapid Urbanization ◽  
Comprehensive Picture ◽  
Social Media Platforms

During the last 20 years, with the development of Information and Communication Technologies (ICTs), an emerging interest has appeared in Digital Community Engagement (DCE) in the process of cultural heritage management. Due to a growing need to involve a broader community in the Historic Urban Landscape approach, social media are considered one of the most important platforms to promote the public participation process of urban heritage conservation in the context of rapid urbanization. Despite the growing literature on DCE, which has delivered a general overview of different digital technologies and platforms to enhance heritage conservation, little research has been done on taking stock of the utilization of social media in this process. This study aims to fill the research gap by providing a more comprehensive picture of the functionalities of social media platforms and impacts on sustainable urban development through a systematic literature review. As a result, 19 out of 248 DCE relevant articles are selected as objects to illustrate the contribution of social media. The study identified the characteristics of these applied social media tools, explores their roles and influences in cases. The article concludes with directions for further research.

scholarly journals A Framework for Interrogating Social Media Images to Reveal an Emergent Archive of War

2019 ◽  
Vol 13 (1-2) ◽  
pp. 196-222 ◽  
Author(s):  
Arijus Pleska ◽  
Andrew Hoskins ◽  
Karen Renaud
Keyword(s):  
Social Media ◽  
Digital Media ◽  
Rapid Development ◽  
Visual Representations ◽  
Visual Image ◽  
Media Images ◽  
The Past ◽  
The Social ◽  
Social Media Platforms ◽  
Identification Techniques

The visual image has long been central to how war is seen, contested and legitimised, remembered and forgotten. Archives are pivotal to these ends as is their ownership and access, from state and other official repositories through to the countless photographs scattered and hidden from a collective understanding of what war looks like in individual collections and dusty attics. With the advent and rapid development of social media, however, the amateur and the professional, the illicit and the sanctioned, the personal and the official, and the past and the present, all seem to inhabit the same connected and chaotic space. However, to even begin to render intelligible the complexity, scale and volume of what war looks like in social media archives is a considerable task, given the limitations of any traditional human-based method of collection and analysis. We thus propose the production of a series of ‘snapshots’, using computer-aided extraction and identification techniques to try to offer an experimental way in to conceiving a new imaginary of war. We were particularly interested in testing to see if twentieth century wars, obviously initially captured via pre-digital means, had become more ‘settled’ over time in terms of their remediated presence today through their visual representations and connections on social media, compared with wars fought in digital media ecologies (i.e. those fought and initially represented amidst the volume and pervasiveness of social media images). To this end, we developed a framework for automatically extracting and analysing war images that appear in social media, using both the features of the images themselves, and the text and metadata associated with each image. The framework utilises a workflow comprising four core stages: (1) information retrieval, (2) data pre-processing, (3) feature extraction, and (4) machine learning. Our corpus was drawn from the social media platforms Facebook and Flickr.

scholarly journals Comparative Analysis of Deep Learning Techniques to detect Online Public Shaming

2021 ◽  
Vol 40 ◽  
pp. 03030
Author(s):  
Mehdi Surani ◽  
Ramchandra Mangrulkar
Keyword(s):  
Social Media ◽  
Deep Learning ◽  
Freedom Of Speech ◽  
Learning Approaches ◽  
Learning Models ◽  
Media Usage ◽  
The Past ◽  
Learning Techniques ◽  
Social Media Platforms ◽  
Machine Learning Models

Over the past years the exponential growth of social media usage has given the power to every individual to share their opinions freely. This has led to numerous threats allowing users to exploit their freedom of speech, thus spreading hateful comments, using abusive language, carrying out personal attacks, and sometimes even to the extent of cyberbullying. However, determining abusive content is not a difficult task and many social media platforms have solutions available already but at the same time, many are searching for more efficient ways and solutions to overcome this issue. Traditional models explore machine learning models to identify negative content posted on social media. Shaming categories are explored, and content is put in place according to the label. Such categorization is easy to detect as the contextual language used is direct. However, the use of irony to mock or convey contempt is also a part of public shaming and must be considered while categorizing the shaming labels. In this research paper, various shaming types, namely toxic, severe toxic, obscene, threat, insult, identity hate, and sarcasm are predicted using deep learning approaches like CNN and LSTM. These models have been studied along with traditional models to determine which model gives the most accurate results.

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