Significance of visual interfaces in institutional and user-generated databases with category structures

Salah, Alkım Almila Akdağ; Scharnhorst, Andrea; Bosch, Olav ten; Doorn, Peter; Манович, Лев; Salah, Albert Ali; Chow, Jay

doi:10.1145/2390867.2390870

Cited by 5 publications

(5 citation statements)

References 7 publications

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“…Since the Arab Spring and Occupy Wall Street movements, Twitter has developed a reputation as a platform for protests because it amplifies individual voices, and the mass of critical tweets in this study reflects this. That most tweets used photographs also fits as photos can help build social movements and networks [ 60 , 61 ], visuals fortify propaganda during conflicts [ 62 ] and images can foster advocacy, as we have also seen with climate change movements [ 63 , 64 ]. Ultimately, this highlights how critical tones about potential damages to health ignite activity on Twitter and that citizens play a crucial role in information distribution.…”

Section: Discussionmentioning

confidence: 99%

Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic

Sleigh¹,

Amann²,

Schneider³

et al. 2021

BMC Public Health

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Background The Covid-19 pandemic is characterized by uncertainty and constant change, forcing governments and health authorities to ramp up risk communication efforts. Consequently, visuality and social media platforms like Twitter have come to play a vital role in disseminating prevention messages widely. Yet to date, only little is known about what characterizes visual risk communication during the Covid-19 pandemic. To address this gap in the literature, this study’s objective was to determine how visual risk communication was used on Twitter to promote the World Health Organisations (WHO) recommended preventative behaviours and how this communication changed over time. Methods We sourced Twitter’s 500 most retweeted Covid-19 messages for each month from January–October 2020 using Crowdbreaks. For inclusion, tweets had to have visuals, be in English, come from verified accounts, and contain one of the keywords ‘covid19’, ‘coronavirus’, ‘corona’, or ‘covid’. Following a retrospective approach, we then performed a qualitative content analysis of the 616 tweets meeting inclusion criteria. Results Our results show communication dynamics changed over the course of the pandemic. At the start, most retweeted preventative messages came from the media and health and government institutions, but overall, personal accounts with many followers (51.3%) predominated, and their tweets had the highest spread (10.0%, i.e., retweet count divided by followers). Messages used mostly photographs and images were found to be rich with information. 78.1% of Tweets contained 1–2 preventative messages, whereby ‘stay home’ and ‘wear a mask’ frequented most. Although more tweets used health loss framing, health gain messages spread more. Conclusion Our findings can inform the didactics of future crisis communication. The results underscore the value of engaging individuals, particularly influencers, as advocates to spread health risk messages and promote solidarity. Further, our findings on the visual characteristic of the most retweeted tweets highlight factors that health and government organisations should consider when creating visual health messages for Twitter. However, that more tweets used the emotive medium of photographs often combined with health loss framing raises concerns about persuasive tactics. More research is needed to understand the implications of framing and its impact on public perceptions and behaviours.

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Section: Discussionmentioning

confidence: 99%

Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic

Sleigh¹,

Amann²,

Schneider³

et al. 2021

BMC Public Health

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“…The largest number of datasets (75%) originate in archaeology, for which EASY is a legal deposit archive ("EASY: Published datasets," 2016). Most other datasets originate in the social sciences and humanities (Akdag Salah et al, 2012;. Datasets vary widely in size and in number of individual files, which can range from one to several hundred.…”

Section: Dans: Data Archiving and Networked Servicesmentioning

confidence: 99%

“…More than 85% of datasets in DANS have been downloaded at least once (Doorn, 2017). The most downloaded individual datasets are from the social sciences, such as census data from Statistics Netherlands (Akdag Salah et al, 2012;. Archaeology represents the largest category of downloads in absolute terms (Doorn, 2017).…”

Section: Dans: Data Archiving and Networked Servicesmentioning

confidence: 99%

“…Archaeology data constitute the largest portion of the archive, largest portion of acquisitions, and largest overall number of downloads (Doorn, 2017), but the most downloaded individual datasets are from the social sciences, such as census data from Statistics Netherlands (Akdag Salah et al, 2012;Doorn, 2017;Scharnhorst et al, 2012). The originating agencies do most of the processing, thus these datasets get high usage for relatively low investment in curation by DANS staff.…”

Section: Value Propositions and Metricsmentioning

confidence: 99%

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Digital data archives as knowledge infrastructures: Mediating data sharing and reuse

Borgman

Scharnhorst

Golshan

2019

Asso for Info Science & Tech

Self Cite

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Digital archives are the preferred means for open access to research data. They play essential roles in knowledge infrastructures -robust networks of people, artifacts, and institutions -but little is known about how they mediate information exchange between stakeholders. We open the "black box" of data archives by studying DANS, the Data Archiving and Networked Services institute of The Netherlands, which manages 50+ years of data from the social sciences, humanities, and other domains. Our interviews, weblogs, ethnography, and document analyses reveal that a few large contributors provide a steady flow of content, but most are academic researchers who submit datasets infrequently and often restrict access to their files. Consumers are a diverse group that overlaps minimally with contributors. Archivists devote about half their time to aiding contributors with curation processes and half to assisting consumers. Given the diversity and infrequency of usage, human assistance in curation and search remains essential. DANS' knowledge infrastructure encompasses public and private stakeholders who contribute, consume, harvest, and serve their data -many of whom did not exist at the time the DANS collections originated -reinforcing the need for continuous investment in digital data archives as their communities, technologies, and services evolve.

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“…The majority of downloaded datasets, however, are from the social sciences, which include census data from Statistics Netherlands. (Akdag Salah et al, 2012;…”

Section: Dans: Digital Archiving and Networked Servicesmentioning

confidence: 99%

Who uses the digital data archive? An exploratory study of DANS

Borgman

Scharnhorst

Berg

et al. 2015

Proc. Assoc. Info. Sci. Tech.

Self Cite

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Despite the advances in policy and practice for data sharing, surprisingly little is known about the uses and users of digital data archives, about relationships between users and the staff of data archives, or how these behaviors vary by discipline, geographic region, policy, and other factors. Digital data archives are not a single type of institution, however. They vary widely in organizational structure, mission, collection, funding, and relationships to their users and other stakeholders. We present an exploratory study of DANS, the Digital Archiving and Networked Services of the Netherlands, with the goal of identifying methods for studying the contributors, consumers, and role of archivists in digital data archives. Starting with transaction logs that serve management purposes, we present estimates of the distribution of uses and users of DANS. Units of analysis necessary to study user behavior, such as dataset, file, user, creator, and consumer, are difficult to glean from logs that were not designed for these inquiries. We recommend methods for improving the design of data collection instruments and outline the subsequent phases of our mixed-method research on the uses, users, policy, and practice of digital data archiving.

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Significance of visual interfaces in institutional and user-generated databases with category structures

Cited by 5 publications

References 7 publications

Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic

Qualitative analysis of visual risk communication on twitter during the Covid-19 pandemic

Digital data archives as knowledge infrastructures: Mediating data sharing and reuse

Who uses the digital data archive? An exploratory study of DANS

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