Livestreaming science

Ather, Syed Hussain

doi:10.1126/science.365.6450.294

Cited by 3 publications

(3 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Twitch can also be used as a source for undertaking research about science videos (Ather, 2019;Buitrago, et al, 2021). Indeed, a category designed for streaming science-related content (Science & Technology, part of the IRL main community) has been created [9], attracting 709,000 followers as of March 2023.…”

Section: Twitch and Science Videosmentioning

confidence: 99%

Uncovering the potential of Twitch as a source for social media metrics

Orduña-Malea,

Lopezosa

2024

View full text Add to dashboard Cite

The social live streaming service Twitch was launched in 2008 as Justin.tv, rebranded as Twitch Interactive in 2011, and acquired by Amazon in 2014. Although launched originally as a portal to broadcast videogames, Twitch currently hosts a wide range of content, including science and technology channels. Yet, despite growing interest in this online video sharing platform, Twitch’s potential for the study of science videos has been underexploited to date. This paper seeks to go some way to remedying this by studying the potential of Twitch as a data source for social media academic metrics. To do so, a scientometrics-inspired framework (the OBA framework) is proposed to integrate the analysis of Twitch, science videos and research organizations under a common conceptual space. Then, a science-related Twitch channel — National Aeronautics and Space Administration (NASA) — is used as a case study. We analyse 197 videos published by NASA between March 2017 and December 2022, as well as 51,935 clips created from NASA videos. Data were collected from the official Twitch API, which is also analysed to identify the units and metrics available and the channel’s performance in retrospective quantitative studies (i.e., non-live broadcasts). The results show that Twitch allows in-depth metric analyses of science videos to be undertaken, facilitating identification of both the activity and output-level impact of a scientific organization such as NASA. However, the Twitch API presents a few constraints, due, in the main, to the limited availability of many metrics that are restricted in time range, quantity, accuracy, or access, and which as such limit comprehensive retrospective studies. Despite these technical limitations, it is estimated that Twitch offers considerable potential for the study of science-related activity. The OBA model proposed facilitates the analysis of the activity of specific scientific agents (not only organizations but journals or other aggregates) under a conceptual framework based on approaches applied in quantitative studies of science.

show abstract

Section: Twitch and Science Videosmentioning

confidence: 99%

Uncovering the potential of Twitch as a source for social media metrics

Orduña-Malea,

Lopezosa

2024

View full text Add to dashboard Cite

show abstract

“…As Chen and Xiong [117] revealed, we are witnessing dizzying changes in the different business models, most significantly regarding the transitions to other types of content. New live channels for music, sports, travel, gaming, education, and even academic research are continually emerging [115]. From this perspective, managing the diversification of activities [152] is one of the most important challenges for the future.…”

Section: Future Research Agendamentioning

confidence: 99%

Exploring the Emerging Domain of Research on Video Game Live Streaming in Web of Science: State of the Art, Changes and Trends

Cabeza-Ramírez

García

Fernández

2021

IJERPH

View full text Add to dashboard Cite

In recent years, interest in video game live streaming services has increased as a new communication instrument, social network, source of leisure, and entertainment platform for millions of users. The rise in this type of service has been accompanied by an increase in research on these platforms. As an emerging domain of research focused on this novel phenomenon takes shape, it is necessary to delve into its nature and antecedents. The main objective of this research is to provide a comprehensive reference that allows future analyses to be addressed with greater rigor and theoretical depth. In this work, we developed a meta-review of the literature supported by a bibliometric performance and network analysis (BPNA). We used the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analysis) protocol to obtain a representative sample of 111 published documents since 2012 and indexed in the Web of Science. Additionally, we exposed the main research topics developed to date, which allowed us to detect future research challenges and trends. The findings revealed four specializations or subdomains: studies focused on the transmitter or streamer; the receiver or the audience; the channel or platform; and the transmission process. These four specializations add to the accumulated knowledge through the development of six core themes that emerge: motivations, behaviors, monetization of activities, quality of experience, use of social networks and media, and gender issues.

show abstract

“…Virtual workplaces are already used to save time and decrease carbon footprints associated with travel, for example, to participate in review panels. But as we consider the practice of science with these optics, the abilities to operate equipment remotely, to share data almost instantaneously, to video stream methods (Ather, 2019), and to incorporate virtual reality only hint at the possibilities. Indeed, the SARS‐CoV‐2 pandemic had accelerated adoption of many remote technologies even as this report was being finalized.…”

Section: Recommendationsmentioning

confidence: 99%

Plant science decadal vision 2020–2030: Reimagining the potential of plants for a healthy and sustainable future

et al. 2020

View full text Add to dashboard Cite

Plants, and the biological systems around them, are key to the future health of the planet and its inhabitants. The Plant Science Decadal Vision 2020–2030 frames our ability to perform vital and far‐reaching research in plant systems sciences, essential to how we value participants and apply emerging technologies. We outline a comprehensive vision for addressing some of our most pressing global problems through discovery, practical applications, and education. The Decadal Vision was developed by the participants at the Plant Summit 2019, a community event organized by the Plant Science Research Network. The Decadal Vision describes a holistic vision for the next decade of plant science that blends recommendations for research, people, and technology. Going beyond discoveries and applications, we, the plant science community, must implement bold, innovative changes to research cultures and training paradigms in this era of automation, virtualization, and the looming shadow of climate change. Our vision and hopes for the next decade are encapsulated in the phrase reimagining the potential of plants for a healthy and sustainable future. The Decadal Vision recognizes the vital intersection of human and scientific elements and demands an integrated implementation of strategies for research (Goals 1–4), people (Goals 5 and 6), and technology (Goals 7 and 8). This report is intended to help inspire and guide the research community, scientific societies, federal funding agencies, private philanthropies, corporations, educators, entrepreneurs, and early career researchers over the next 10 years. The research encompass experimental and computational approaches to understanding and predicting ecosystem behavior; novel production systems for food, feed, and fiber with greater crop diversity, efficiency, productivity, and resilience that improve ecosystem health; approaches to realize the potential for advances in nutrition, discovery and engineering of plant‐based medicines, and "green infrastructure." Launching the Transparent Plant will use experimental and computational approaches to break down the phytobiome into a "parts store" that supports tinkering and supports query, prediction, and rapid‐response problem solving. Equity, diversity, and inclusion are indispensable cornerstones of realizing our vision. We make recommendations around funding and systems that support customized professional development. Plant systems are frequently taken for granted therefore we make recommendations to improve plant awareness and community science programs to increase understanding of scientific research. We prioritize emerging technologies, focusing on non‐invasive imaging, sensors, and plug‐and‐play portable lab technologies, coupled with enabling computational advances. Plant systems science will benefit from data management and future advances in automation, machine learning, natural language processing, and artificial intelligence‐assisted data integration, pattern identification, and decision making. Implementation of th...

show abstract

Livestreaming science

Cited by 3 publications

References 0 publications

Uncovering the potential of Twitch as a source for social media metrics

Uncovering the potential of Twitch as a source for social media metrics

Exploring the Emerging Domain of Research on Video Game Live Streaming in Web of Science: State of the Art, Changes and Trends

Plant science decadal vision 2020–2030: Reimagining the potential of plants for a healthy and sustainable future

Contact Info

Product

Resources

About