Publicaciones
Compartiendo Conocimiento
En esta sección compartimos las publicaciones y comunicaciones realizadas por nuestro grupo de investigación. Aquí puedes encontrar los resultados de nuestros estudios, presentaciones y artículos que contribuyen al desarrollo del conocimiento en nuestro campo.
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1.
Orduña-Malea, Enrique; Lopezosa, Carlos
Uncovering the potential of Twitch as a source for social media metrics Artículo de revista
En: First Monday, vol. 29, no 1, 2024, ISSN: 1396-0466.
Resumen | Enlaces | BibTeX | Etiquetas: Research Organizations, Science Studies, Social Media Metrics, Twitch, Video Streaming
@article{Orduña-Malea_Lopezosa_2024,
title = {Uncovering the potential of Twitch as a source for social media metrics},
author = { Enrique Orduña-Malea and Carlos Lopezosa},
url = {https://firstmonday.org/ojs/index.php/fm/article/view/13214},
doi = {10.5210/fm.v29i1.13214},
issn = {1396-0466},
year = {2024},
date = {2024-01-03},
urldate = {2024-01-03},
journal = {First Monday},
volume = {29},
number = {1},
abstract = {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.},
keywords = {Research Organizations, Science Studies, Social Media Metrics, Twitch, Video Streaming},
pubstate = {published},
tppubtype = {article}
}
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.
2.
Orduña-Malea, Enrique; Lopezosa, Carlos
The NASA videos collection on Twitch dataset
2024.
Resumen | Enlaces | BibTeX | Etiquetas: Informetrics, NASA, Science Communication, Social Media Metrics, Twitch
@dataset{OrduñaMalea2024,
title = {The NASA videos collection on Twitch},
author = {Enrique Orduña-Malea and Carlos Lopezosa },
doi = {10.4995/dataset/10251/201304},
year = {2024},
date = {2024-01-02},
urldate = {2024-01-02},
publisher = {Universitat Politecnica de Valencia},
abstract = {This dataset includes the raw data used to conduct a Twitch case study. The dataset includes the metrics collected from Twitch API to characterize a specific channel (NASA), the bibliographic data collected from bibliographic databases to systematically review the literature about Twitch, supplementary material, and the scripts used to collect data from Twitch API. },
keywords = {Informetrics, NASA, Science Communication, Social Media Metrics, Twitch},
pubstate = {published},
tppubtype = {dataset}
}
This dataset includes the raw data used to conduct a Twitch case study. The dataset includes the metrics collected from Twitch API to characterize a specific channel (NASA), the bibliographic data collected from bibliographic databases to systematically review the literature about Twitch, supplementary material, and the scripts used to collect data from Twitch API.
3.
Orduña-Malea, Enrique; Bautista-Puig, Nuria
DORA Declaration Tweet Collection dataset
2023.
Resumen | Enlaces | BibTeX | Etiquetas: DORA, Research Evaluation, Scientometrics, Social Media Metrics, Twitter
@dataset{OrduñaMalea2023,
title = {DORA Declaration Tweet Collection},
author = {Enrique Orduña-Malea and Nuria Bautista-Puig},
doi = {10.4995/dataset/10251/199150},
year = {2023},
date = {2023-11-02},
urldate = {2023-11-02},
publisher = {Universitat Politecnica de Valencia},
abstract = {This dataset includes the raw data used to carry out a study related to the analysis of the DORA Declaration on Twitter. The dataset includes the tweets collected from the Twitter Academic API (comprising three collections: tweets published by DORA, tweets mentioning DORA, and tweets including a DORA-related hashtag), supplementary material (including extra tables and figures), and the script used to collect data from Twitch API.},
keywords = {DORA, Research Evaluation, Scientometrics, Social Media Metrics, Twitter},
pubstate = {published},
tppubtype = {dataset}
}
This dataset includes the raw data used to carry out a study related to the analysis of the DORA Declaration on Twitter. The dataset includes the tweets collected from the Twitter Academic API (comprising three collections: tweets published by DORA, tweets mentioning DORA, and tweets including a DORA-related hashtag), supplementary material (including extra tables and figures), and the script used to collect data from Twitch API.
4.
Fernández-Planells, Ariadna; Orduña-Malea, Enrique; Freixa, Carles
Youth street groups and social media: case study about the Latin Kings Informe técnico
2023.
Resumen | Enlaces | BibTeX | Etiquetas: Informetrics, Social Media, Social Media Metrics, Social Network Analysis, Youth
@techreport{2023,
title = {Youth street groups and social media: case study about the Latin Kings},
author = {Ariadna Fernández-Planells and Enrique Orduña-Malea and Carles Freixa},
doi = {10.31009/transgang.2023.fr04},
year = {2023},
date = {2023-07-31},
urldate = {2023-07-31},
publisher = {Universitat Pompeu Fabra},
abstract = {This is the last report of the project “Virtual ethnography with Latin Kings”, aimed to analyze the presence of this street group on the social media. Our first report provided a background study about how youth street groups are studied online by the scientific community. Our second deliverable consisted of raw data gathered from social media. This last deliverable updates the data previously collected and carries out a quantitative and qualitative analysis of the data. The main objectives are as follows: first, to detect the social media presence of Latin King members; second, to better understand how Latin Kings use the social media under study; third, to determine how Latin Kings members interact within these social media; and fourth, to ascertain what are the main elements that describe the cultural construction of the Latin Kings through their representations, self-representations and practices on social media. Thus, the study presented here provides an overview of the presence and content generation of the Latin Kings street group in the virtual sphere. In contrast to previous ethnographies with this community, the current approach comes from the knowledge of traditional ethnography that had been done previously by other authors and the principal investigator of the TRANSGANG ERC project in order to add a new layer corresponding to the online realm. A virtual ethnography has been undertaken mixing quantitative and qualitative methods that include social network analysis, computational social science, content analysis and informetrics. This report provides a better understanding of the Latin King community by analyzing social media content in which they actively decided to be involved, in contrast to traditional media content portrayals. Our first approach to the study of youth street groups online offers a system and method of analysis that allows us to find identity traces and communicative trends among the Latin King community in Youtube. Although the procedure can be refined and extended to other contexts (countries and social media platforms), we believe that it points in the right direction to a non-criminalized approach to the study of youth street groups online and that we have faced some of the challenges previously detected. The findings obtained should be of interest to gang scholars and contribute to furthering knowledge in the research area.},
keywords = {Informetrics, Social Media, Social Media Metrics, Social Network Analysis, Youth},
pubstate = {published},
tppubtype = {techreport}
}
This is the last report of the project “Virtual ethnography with Latin Kings”, aimed to analyze the presence of this street group on the social media. Our first report provided a background study about how youth street groups are studied online by the scientific community. Our second deliverable consisted of raw data gathered from social media. This last deliverable updates the data previously collected and carries out a quantitative and qualitative analysis of the data. The main objectives are as follows: first, to detect the social media presence of Latin King members; second, to better understand how Latin Kings use the social media under study; third, to determine how Latin Kings members interact within these social media; and fourth, to ascertain what are the main elements that describe the cultural construction of the Latin Kings through their representations, self-representations and practices on social media. Thus, the study presented here provides an overview of the presence and content generation of the Latin Kings street group in the virtual sphere. In contrast to previous ethnographies with this community, the current approach comes from the knowledge of traditional ethnography that had been done previously by other authors and the principal investigator of the TRANSGANG ERC project in order to add a new layer corresponding to the online realm. A virtual ethnography has been undertaken mixing quantitative and qualitative methods that include social network analysis, computational social science, content analysis and informetrics. This report provides a better understanding of the Latin King community by analyzing social media content in which they actively decided to be involved, in contrast to traditional media content portrayals. Our first approach to the study of youth street groups online offers a system and method of analysis that allows us to find identity traces and communicative trends among the Latin King community in Youtube. Although the procedure can be refined and extended to other contexts (countries and social media platforms), we believe that it points in the right direction to a non-criminalized approach to the study of youth street groups online and that we have faced some of the challenges previously detected. The findings obtained should be of interest to gang scholars and contribute to furthering knowledge in the research area.