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In this paper we present the Tumblr analytics dashboard, tApp. tApp is designed based on findings from a study we completed on Tumblr and fandoms. Within, we describe an overview of seven sections of the dashboard, reasoning behind the design, current prototype screen shots, one use case scenario and proposed future work.
Selected papers of internet research, 2023
Tumblr, a microblogging platform that was founded in 2007, hosts various communities organized around interests. The platform has had a varied history, changing ownership multiple times over its lifespan. In 2019, there were nearly 475 million individual blogs across the site, with 376 million unique visitors worldwide (a number that had decreased after Tumblr banned adult content in 2018)(Rouse and Salter 2021); as Tiidenberg, Hendry, and Abidin note, "tumblr has consistently had more active users than Twitter, Snapchat, Baidu, or LinkedIn" (2016, 2) Combining many of the most the popular aspects of social media and blogging platforms, Tumblr allows users to curate their blog, or profile, aggregating content reflecting interests spanning sports, music, literature, or art. Users can post a variety of content including videos, music files, images, chat posts, or links. They can also reblog other users' content, which functions similarly to retweeting by reposting given content to their own followers. Other features include liking, commenting, and tagging. The experience of Tumblr is organized around the "dashboard," which-rare among contemporary social media platforms-is a reverse chronological feed of the blogs a user follows. Users can also discover content through tracking particular tags or an algorithmic "For you" tab. However, as the common joke on the platform about a post "breaking containment" shows, generally content circulates within smaller groups rather than across the entire site; Tiidenberg, Hendry, and Abidin describe the platform as "experienced through silos" that are "sustained through shared practices, vernacular, and sensibility" (2016, 13) Tumblr is also notoriously difficult to study. The site is notably hard to navigate . It is also ephemeral, in the sense that "most content posted to the site quickly becomes irrecoverable" (Popova 2020, 81) As Proferes and Morrissey note, while the reblogging function allows for users to add their own comments or hashtags to a post, posts "tend to fragment into multiple branches," such that "reconstructing an entire conversation is difficult" (2020, 32). This differs from a function like replies on Twitter or Facebook that are threaded. Additionally, as Louisa Ellen Stein describes, "although tags are intended to help with categorizing, archiving,
Proceedings of the Conference on Designing Interactive Systems, 2014
A growing trend is the participation in online fandom communities through the support of the blogging platform Tumblr. While past research has investigated backchannels—chatter related to live entertainment on micro-blogging sites such as Twitter—there is a lack of research on the behaviours and motivations of Tumblr users. In our study, we investigate why fandom users chose Tumblr over other social networking sites, their motivations behind participating in fandoms, and how they interact within the Tumblr community. Our findings show that users face many user interface challenges when participating in Tumblr fandoms, especially initially; yet, despite this, Tumblr fandom communities thrive with a common sense of social purpose and exclusivity where users feel they can present a more authentic reflection of themselves to those sharing similar experiences and interests. We describe how this suggests design directions for social networking and blogging sites in order to promote communities of users.
Video Proceedings of the CSCW Conference on Computer Supported Cooperative Work and Social Computing , 2014
A growing trend is the participation in online fandom communities through the support of the blogging platform Tumblr. We investigated Tumblr fandom users’ motivations behind participating in fandoms, and how they interacted within the Tumblr community. Our results show that fandom users feel their Tumblr experience is ‘always-on’ where they participate at nearly any point in the day. They have also adopted a unique set of jargon and use of animated GIFs to match their desired fandom activities. Overall, our results show that Tumblr fandom users present a unique culture, much different from other social networking sites.
MedieKultur: Journal of Media and Communication Research, 2023
Human Interface and the Management of Information: Information, Knowledge and Interaction Design, 2017
Created in 2013, our laboratory works on the intelligibility of the activity of social media for others (e.a community animators) and for oneself (e.a member of the community) in a professional context. To bridge the gap between existing measures of activity, visualization of data and intelligibility of activity, we have set up a multidisciplinary team at the crossroads of these various players and knowledge. The goals of this team are to develop intelligible measures of the activity grouped together in a dashboard and to evaluate their contribution to the community's dynamics. Inspired by the work of Star and Griesemer [16] on boundary objects and standardized methods, this paper aims to explain how we create, adapt and negotiate the current development of our dashboard's prototypeconceived as a boundary object-sufficiently "robust" to achieve common objectives and "plastic enough" to meet the diverse interests of the different actors involved in the project.
2009
We present a tool, BlogTrackers, which helps sociologists to track and analyze blogs of particular interests by designing and integrating unique features. We present an overview of BlogTrackers, illustrate its functions of various components of BlogTrackers, and outline future work for expansion in meeting the growing needs of sociologists.
Proceedings of the 2014 ACM conference on Web science - WebSci '14, 2014
We manually analyzed a corpus of Tumblr posts for sentiment, looking at images, text, and their combination. A dataset was constructed of posts with both text and images, as well as a dataset of posts containing only text, along with a codebook for classifying and counting the content in each. This paper reports on the construction of the overall corpus and the codebook, and presents the results of a preliminary analysis that focuses on emotion. Posts containing images expressed more emotion, more intense emotion, and were more positive in valence than posts containing only text. The study contributes a micro-level analysis of multimodal communication in a social media platform, as well as a gold standard corpus that can be used to train learning algorithms to identify sentiment in multimodal Tumblr data.
ArXiv, 2021
News outlets are developing formats dedicated to social platforms that capture audience attention, such as Instagram stories, Facebook Instant articles, and YouTube videos. In some cases, these formats are created in collaboration with the tech companies themselves. At the same time, the use of data-driven storytelling is becoming increasingly integrated into the ever-complex business models of news outlets, generating more impact and visibility. Previous studies have focused on studying these two effects separately. To address this gap in the literature, this paper identifies and analyzes the use of data journalism on the Instagram content of AJ Labs, the team dedicated to producing data-driven and interactive stories for the Al Jazeera news network. Drawing upon a mixed-method approach, this study examines the use and characteristics of data stories on social media platforms. Results suggest that there is reliance on producing visual content that covers topics such as politics and...
Reference Services Review, 2015
Purpose – This study aims to determine how Tumblr is being used by libraries and special collections/archives in the USA through quantitative analysis. Design/methodology/approach – Data on library Tumblr blogs were collected at three points during a one-year period and included library type, start date, number of posts, average posts per day, type of post and other descriptive information. Findings – There is a growing library presence on the social media site Tumblr. The results shows adoption of the social media platform by multiple library types: academic, public, special collections/digital libraries, library organizations and other library/archives. Research limitations/implications – A major challenge is in the identification and discovery of all libraries on Tumblr, especially as the number of Tumblr blogs created by libraries of all types continues to grow. Practical implications – Results of this analysis should prove useful for both libraries and special collections alrea...
2011
Abstract Users of social media sites, such as Twitter, rapidly generate large volumes of text content on a daily basis. Visual summaries are needed to understand what groups of people are saying collectively in this unstructured text data. Users will typically discuss a wide variety of topics, where the number of authors talking about a specific topic can quickly grow or diminish over time, and what the collective is saying about the subject can shift as a situation develops.
Modelling, Analysis, and Simulation of Computer and Telecommunication Systems, 2021
Tumblr is a popular microblogging platform that allows users to share content and interact with other users. This paper focuses on the measurement and modeling of Tumblr network traffic characteristics, since few studies have focused on Tumblr from this perspective. Our work uses a combination of active and passive approaches to network traffic measurement. Using Wireshark and mitmproxy, we identify the primary hosts associated with Tumblr traffic, the traffic patterns associated with specific user actions, and the TCP connection behaviour. We then study Tumblr usage by our campus community for one week, using passively collected connection summaries. As a frame of reference, we also compare this traffic with several other popular social media platforms with user-generated content, namely Facebook, Instagram, and Twitter. Our work identifies several similarities and differences in the network traffic patterns for these social networking sites. We also develop and calibrate a synthetic workload model for Tumblr network traffic.
Discourse, Context and Media, 2018
Tumblr is one of the most popular content sharing websites, where the use of keyword tags that enhance the searchability and visibility of posts is prominent. However, this resource has been creatively exploited by some users beyond its folksonomic use: Since Tumblr does not have a separate comment section for posts, the tag section may also be used for tags with discourse functions such as expressing an opinion, a reaction, or including asides. This article explores the practice of including comments in tags, taking into account the specific technological features of Tumblr's tagging system, as well as the role of the communities within the website. The corpus analyzed in the study comprises two datasets collected from the general 'Trending' page of Tumblr and 60 fan communities ('fandoms'). Comment tags and their identified discourse functions (opinion, reaction, aside) are analyzed quantitatively for differences regarding use, structure, and sentiment. The analysis shows significant differences between the comment tags and traditional keyword tags, as well as among comment tags with the three different discourse functions. The results suggest that social tagging practices on Tumblr are influenced both by the technological specifications of the platform and the social structure of the website.
2017
Tumblr is one of the most popular content sharing websites, where the use of keyword tags that enhance the searchability and visibility of posts is prominent. However, this resource has been creatively exploited by some users beyond its folksonomic use: Since Tumblr does not have a separate comment section for posts, the tag section may also be used for tags with discourse functions such as expressing an opinion, a reaction, or including asides. This article explores the practice of including comments in tags, taking into account the specific technological features of Tumblr's tagging system, as well as the role of the communities within the website. The corpus analyzed in the study comprises two datasets collected from the general 'Trending' page of Tumblr and 60 fan communities ('fandoms'). Comment tags and their identified discourse functions (opinion, reaction, aside) are analyzed quantitatively for differences regarding use, structure, and sentiment. The analysis shows significant differences between the comment tags and traditional keyword tags, as well as among comment tags with the three different discourse functions. The results suggest that social tagging practices on Tumblr are influenced both by the technological specifications of the platform and the social structure of the website.
The images that inundate our online world have the potential to create virtual tourists, meaning Internet users can browse and collect images that most exemplify their interests, emotions, or boredom just through a click of a button. But what happens when these images are used to illustrate identity or even encourage users to put their identities in question? Identity for my purposes here is defined as not only the persona that one portrays but their intersectional locators as well; such as, race, gender, sexuality, etcetera. Many types of images and memes are becoming more and more indispensable to online interaction, including, rage faces, image macros, and animated GIFs. Exploring these images is essential to understand the changing interaction and evolution of online identity politics. Using tumblr as the platform, this thesis presentation is an attempt at an in-depth exploration of how a subset of these images, reaction GIFs, a genre of animated GIF, are used as forms that communicate reactions and emotions and in these ways function to construct multifaceted identity. In particular this presentation addresses the issues concerning race that arise from this new type of communication.
Nmediac the Journal of New Media and Culture, 2014
This article aims to discuss the aesthetic quality, visual experience and social practice of the microblog platform Tumblr. Having passed the 100 million blogs mark, the service has been increasingly prominent online since its launch in 2007. Thus, fashion, mass media and memory institutions as well as other more individual forms of visual expression have found the platform particularity interesting as a source for communication and networking. Disputing Jodi Dean's argument that blogging is an expression of our constantly shifting identities and provoking us to exhibitionism, this article proposes blogging and reblogging on Tumblr as a type of creative curation where digital images and content are in constant flux but always temporarily fixed through the reblog button, re-creating through different contexts and part of identity formations, rather than effects of them. Moreover, fashion is crucial in understanding Tumblr's appeal, not just by way of the style blogs and fashion focus of the site and the ambiguities of its execution, but also in the very force, which drives the blogging in the first place, a desire or addictive yearning. The platform is arguably unique in providing active user participation through anonymity, dialogue, and alternative spaces for interaction and community with a mixture of attention, production and expression, making Tumblr a central case for the future of content curation online.
This project will set out to explore how a new media platform, particularly, a micro-blogging website, Tumblr, aids the popularization and reproduction of Japanese anime/manga culture in the Western Hemisphere. My specific case study will observe the fandom of Attack on Titan, a popular Japanese manga and anime (“animanga”) series created by Hajime Isayama, which has become largely known in the West due to the commercial success of the anime series, fueled by the extensive reach of the fandom. This project will set out to explore how a new media platform, particularly, a micro-blogging website, Tumblr, aids the popularization and reproduction of Japanese anime/manga culture in the Western Hemisphere. My specific case study will observe the fandom of Attack on Titan, a popular Japanese manga and anime (“animanga”) series created by Hajime Isayama, which has become largely known in the West due to the commercial success of the anime series, fueled by the extensive reach of the fandom.
A Tumblr Book: Platform and Culture, 2020
arXiv (Cornell University), 2023
Dashboards remain ubiquitous artifacts for presenting or reasoning with data across different domains. Yet, there has been little work that provides a quantifiable, systematic, and descriptive overview of dashboard designs at scale. We propose a schematic representation of dashboard designs as node-link graphs to better understand their spatial and interactive structures. We apply our approach to a dataset of 25,620 dashboards curated from Tableau Public to provide a descriptive overview of the core building blocks of dashboards in the wild and derive common dashboard design patterns. To guide future research, we make our dashboard corpus publicly available and discuss its application toward the development of dashboard design tools. CCS Concepts: • Human-centered computing → Visualization systems and tools; Visual analytics.
Proceedings of the 2015 International Conference on Social Media & Society - SMSociety '15, 2015
We developed a social media analytics and research testbed (SMART) dashboard for monitoring Twitter messages and tracking the diffusion of information in different cities. SMART dashboard is an online geo-targeted search and analytics tool, including an automatic data processing procedure to help researchers to 1) search tweets in different cities; 2) filter noise (such as removing redundant retweets and using machine learning methods to improve precision); 3) analyze social media data from a spatiotemporal perspective, and 4) visualize social media data in various ways (such as weekly and monthly trends, top URLs, top retweets, top mentions, or top hashtags). By monitoring social messages in geo-targeted cities, we hope that SMART dashboard can assist researchers investigate and monitor various topics, such as flu outbreaks, drug abuse, and Ebola epidemics at the municipal level.
Behaviour & Information Technology, 2024
Disengagement from social media platforms encompasses various behaviours, such as reducing activity or abandoning them altogether. At the far end of this spectrum, permanently deleting user accounts holds substantial implications for individuals, the people they contact, and the platform itself. However, the motivations underlying this choice, which involves erasing all content and social connections rather than simply abandoning the platform, remain unclear. To address this research gap, we analysed 4.5 million active users on Tumblr, a microblogging service. We assessed the likelihood of users deleting their accounts using binary logistic regression in general and in specific clusters of users. Our findings reveal that users are more inclined to delete their accounts if they have previously removed content from their profiles, highlighting the role of account deletion in cleaning and controlling personal information. Additionally, we observed robust peer correlations, indicating that users are more likely to delete their accounts if those they follow have already taken this step. We discuss these findings in the context of non-use theories and propose the development of checking-out processes that can enhance the user experience associated with account deletion.
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