Dataset Information

Bubble storytelling with automated animation: a Brexit hashtag activism case study.

ABSTRACT: Abstract:Hashtag data are common and easy to acquire. Thus, they are widely used in studies and visual data storytelling. For example, a recent story by China Central Television Europe depicts Brexit as a hashtag movement displayed on an animated bubble chart. However, creating such a story is usually laborious and tedious, because narrators have to switch between different tools and discuss with different collaborators. To reduce the burden, we develop a prototype system to help explore the bubbles' movement by automatically inserting animations connected to the storytelling of the video creators and the interaction of viewers to those videos. We demonstrate the usability of our method through both use cases and a semi-structured user study. Graphic abstract:

SUBMITTER: Chotisarn N

PROVIDER: S-EPMC7459253 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature

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Bubble storytelling with automated animation: a Brexit hashtag activism case study.

Chotisarn Noptanit N Lu Junhua J Ma Libinzi L Xu Jingli J Meng Linhao L Lin Bingru B Xu Ying Y Luo Xiaonan X Chen Wei W

Journal of visualization 20200901 1

<h4>Abstract</h4>Hashtag data are common and easy to acquire. Thus, they are widely used in studies and visual data storytelling. For example, a recent story by China Central Television Europe depicts Brexit as a hashtag movement displayed on an animated bubble chart. However, creating such a story is usually laborious and tedious, because narrators have to switch between different tools and discuss with different collaborators. To reduce the burden, we develop a prototype system to help explore ...[more]

PMID: 32904885

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Project description:Background: Telling personal stories of violence has been central to recent advocacy efforts to prevent violence against women around the world. In this paper, we explore the use of personal storytelling as a form of activism to prevent femicide in Turkey. This study is part of a broader storytelling initiative called SHAER (Storytelling for Health: Acknowledgement, Expression and Recovery) to alleviate the psychological and emotional suffering of women who have experienced gender-based violence in high-prevalence settings.Objectives: We conceptually explore personal stories of violence as a form of both distributed agency and activism. This conceptual framework is used to answer the following research question in the Turkish context: How do women use their personal stories of interpersonal violence for their own benefit (support) and that of others (activism)?Methods: Our study is based on 20 in-depth semi-structured interviews with women who have experienced violence and were purposefully recruited by the 'We Will End Femicide' Platform in Istanbul. Interviews were conducted between March and August 2019. We used inductive and deductive thematic analysis to identify instances of personal storytelling at three levels: intrapersonal, relational and collective.Results: Our results show how the use of personal storytelling can provide a means of healing from experiences of violence. However, this process is not linear and is often influenced by the surrounding context including: the listener of the story, their reaction, and what social networks the woman has to support her. In supportive social contexts, personal storytelling can be an effective support for activism against violence: personal stories can provide opportunities for individuals to shape broader discourses about violence against women and the right of women to share their stories.Conclusions: Telling one's personal story of violence can both support women's agency and contribute to the collective struggle against violence against women more broadly.

Project description:The last several decades have witnessed a shift in the way in which news is delivered and consumed by users. With the growth and advancements in mobile technologies, the Internet, and Web 2.0 technologies users are not only consumers of news, but also producers of online content. This has resulted in a novel and highly participatory cyber-physical news awareness ecosystem that fosters digital activism, in which volunteers contribute content to online communities. While studies have examined the various components of this news awareness ecosystem, little is still known about how news media coverage (and in particular digital media) impacts digital activism. In order to address this challenge and develop a greater understanding of it, this paper focuses on a specific form of digital activism, that of the production of digital geographical content through crowdsourcing efforts. Using refugee camps from around the world as a case study, we examine the relationship between news coverage (via Google news), search trends (via Google trends) and user edit contribution patterns in OpenStreetMap, a prominent geospatial data crowdsourcing platform. In addition, we compare and contrast these patterns with user edit patterns in Wikipedia, a well-known non-geospatial crowdsourcing platform. Using Google news and Google trends to derive a measure of thematic public awareness, our findings indicate that digital activism bursts tend to take place during periods of sustained build-up of public awareness deficit or surplus. These findings are in line with two prominent mass communication theories: agenda setting and corrective action, and suggest the emergence of a novel stimulus-awareness-activism framework in today's participatory digital age. Moreover, these findings further complement existing research examining the motivational factors that drive users to contribute to online collaborative communities. This paper brings us one step closer to understanding the underlying mechanisms that drive digital activism in particular in the geospatial domain.

Project description:BackgroundThe social media site Twitter has 145 million daily active users worldwide and has become a popular forum for users to communicate their health care concerns and experiences as patients. In the fall of 2018, a hashtag titled #DoctorsAreDickheads emerged, with almost 40,000 posts calling attention to health care experiences.ObjectiveThis study aims to identify common health care conditions and conceptual themes represented within the phenomenon of this viral Twitter hashtag.MethodsWe analyzed a random sample of 5.67% (500/8818) available tweets for qualitative analysis between October 15 and December 31, 2018, when the hashtag was the most active. Team coders reviewed the same 20.0% (100/500) tweets and the remainder individually. We abstracted the user's health care role and clinical conditions from the tweet and user profile, and used phenomenological content analysis to identify prevalent conceptual themes through sequential open coding, memoing, and discussion of concepts until an agreement was reached.ResultsOur final sample comprised 491 tweets and unique Twitter users. Of this sample, 50.5% (248/491) were from patients or patient advocates, 9.6% (47/491) from health care professionals, 4.3% (21/491) from caregivers, 3.7% (18/491) from academics or researchers, 1.0% (5/491) from journalists or media, and 31.6% (155/491) from non-health care individuals or other. The most commonly mentioned clinical conditions were chronic pain, mental health, and musculoskeletal conditions (mainly Ehlers-Danlos syndrome). We identified 3 major themes: disbelief in patients' experience and knowledge that contributes to medical errors and harm, the power inequity between patients and providers, and metacommentary on the meaning and impact of the #DoctorsAreDickheads hashtag.ConclusionsPeople publicly disclose personal and often troubling health care experiences on Twitter. This adds new accountability for the patient-provider interaction, highlights how harmful communication affects diagnostic safety, and shapes the public's viewpoint of how clinicians behave. Hashtags such as this offer valuable opportunities to learn from patient experiences. Recommendations include developing best practices for providers to improve communication, supporting patients through challenging diagnoses, and promoting patient engagement.

Dataset Information

Bubble storytelling with automated animation: a Brexit hashtag activism case study.

Publications

Bubble storytelling with automated animation: a Brexit hashtag activism case study.

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