Galileo, a data platform for viewing news on social networks

Autores/as

DOI:

https://doi.org/10.3145/epi.2022.sep.12

Palabras clave:

News, Visualisation, Data science, Textual data, Journalism, Social media, Social networks, Platforms, Twitter, Facebook, Instagram, Galileo

Resumen

This article aims to introduce Galileo, a platform for extracting and organizing news media data on social networks. Galileo integrates publications made on the main social networks used in the information ecosystem, namely Facebook, Twitter, and Instagram. Currently, the system includes 97 media outlets from nine countries: Brazil, Chile, Germany, Japan, Mexico, South Korea, Spain, United Kingdom, and United States. Galileo uses a Twitter API and the service CrowdTangle to download Facebook and Instagram posts. This data is stored in a local database and can be accessed through a user-friendly interface, which allows for the analysis of different characteristics of the posts, such as their text, source popularity, and temporal dimension. Galileo is a tool for researchers interested in understanding news cycles and analyzing news content on social networks. 

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Citas

Arcila-Calderón, Carlos; Barredo-Ibáñez, Daniel; Castro, Cosette (2017). Analí­tica y visualización de datos en Twitter. Barcelona: Colección Comunicación. Editorial UOC. ISBN: 978 84 9116 960 4

Baden, Christian (2018). "Reconstructing frames from intertextual news discourse: A semantic network approach to news framing analysis". In: D´Angelo, Paul (ed.). Doing news framing analysis II: Empirical and theoretical perspectives. New York: Routledge, pp. 3-26. ISBN: 978 1 315642239

Baeza-Yates, Ricardo (2018). "Bias on the web". Communications of the ACM, v. 61, n. 6, pp. 54-61. https://doi.org/10.1145/3209581

Blei, David M.; Ng, Andrew Y.; Jordan, Michael I. (2003). "Latent Dirichlet allocation". Journal of machine learning research, v. 3, pp. 993-1022. https://dl.acm.org/doi/10.5555/944919.944937

Cárcamo-Ulloa, Luis; Cárdenas-Neira, Camila; Sáez-Trumper, Diego; Toural-Bran, Carlos (2021). "Fake news en Chile y España: ¿Cómo los medios nos hablan de noticias falsas?". Journal of Iberian and Latin American research, v. 26, n. 3, pp. 320-337. https://doi.org/10.1080/13260219.2020.1909849

Cárcamo-Ulloa, Luis; Vernier, Matthieu; Scheihing-Garcí­a, Eliana; Aravena, Matí­as; Pérez, Javier (2017). "Sophia una herramienta para la construcción y análisis de casos noticiosos en la enseñanza del periodismo". Nuevas ideas en informática educativa, v. 13, pp. 667-672. ISBN: 978 956 19 1043 0 http://www.tise.cl/volumen13/TISE2017/96.pdf

Cárdenas-Neira, Camila (2016). "Representación online del movimiento estudiantil chileno: Reapropiación de noticias en Facebook". Estudios filológicos n. 58, pp. 25-49. https://doi.org/10.4067/S0071-17132016000200002

Cardon, Dominique (2018). Con qué sueñan los algoritmos: Nuestras vidas en los tiempos de los big data. Madrid: Dado Ediciones. ISBN: 978 849 450 728 1

Cecchet, Emmanuel; Acharya, Amrita; Molom-Ochir, Tergel; Trivedi, Amee; Shenoy, Prashant (2020). "WiFiMon: a mobility analytics platform for building occupancy monitoring and contact tracing using wifi sensing: poster abstract". In: Proceedings of the 18th conference on embedded networked sensor systems, SenSys´20, pp. 792-793. https://doi.org/10.1145/3384419.3430598

Grimmer, Justin; Stewart, Brandon M. (2013). "Text as data: The promise and pitfalls of automatic content analysis methods for political texts". Political analysis, v. 21, n. 3, pp. 267-297. https://doi.org/10.1093/pan%2Fmps028

Guo, Lei; Su, Chao; Paik, Sejin; Bhatia, Vibhu; Prasad-Akavoor, Vidya; Gao, Ge; Betke, Margrit; Wijaya, Derry (2022). "Proposing an open-sourced tool for computational framing analysis of multilingual data". Digital journalism, first online. https://doi.org/10.1080/21670811.2022.2031241

Hamborg, Felix; Donnay, Karsten; Gipp, Bela (2019). "Automated identification of media bias in news articles: an interdisciplinary literature review". International journal on digital libraries, n. 20, pp. 391-415. https://doi.org/10.1007/s00799-018-0261-y

Hermida, Alfred (2010). "Twittering the news. The emergence of ambient journalism". Journalism practice, v. 4, n. 3, pp. 297-308. https://doi.org/10.1080/17512781003640703

Jiang, Ye; Song, Xingyi, Harrison, Jackie; Quegan, Shaun; Maynard, Diana (2017). "Comparing attitudes to climate change in the media using sentiment analysis based on latent Dirichlet allocation". In: Proceedings of the 2017 EMNLP workshop: Natural language processing meets journalism, pp. 25-30. https://doi.org/10.18653/v1/W17-4205

Levy, Ro´ee (2021). "Social media, news consumption, and polarization: evidence from a field experiment". American economic review, v. 111, n. 3, pp. 831-870. https://doi.org/10.1257/aer.20191777

Lewis, Seth C.; Zamith, Rodrigo; Hermida, Alfred (2013). "Content analysis in an era of big data: a hybrid approach to computational and manual methods". Journal of broadcasting & electronic media, v. 57, n. 1, pp. 34-52. https://doi.org/10.1080/08838151.2012.761702

Li, Yue; Nair, Pratheeksha; Wen, Zhi; Chafi, Imane; Okhmatovskaia, Anya; Powell, Guido; Shen, Yannan; Buckeridge, David (2020). "Global surveillance of Covid-19 by mining news media using a multi-source dynamic embedded topic model". In: Proceedings of the 11th ACM international conference on bioinformatics, computational biology and health informatics, BCB´20, n. 34. https://doi.org/10.1145/3388440.3412418

Ling, Rich (2020) "Confirmation bias in the era of mobile news consumption: the social and psychological dimensions". Digital journalism, v. 8, n. 5, pp. 596-604. https://doi.org/10.1080/21670811.2020.1766987

Matthes, Jí¶rg; Kohring, Mathias (2008). "The content analysis of media frames: Toward improving reliability and validity". Journal of communication, v. 58, n. 2, pp. 258-279. https://doi.org/10.1111/j.1460-2466.2008.00384.x

Mellado, Claudia; Cárcamo-Ulloa, Luis; Alfaro, Amaranta; Inai, Darla; Isbej, José (2021a). "Fuentes informativas en tiempos de Covid-19: Cómo los medios en Chile narraron la pandemia a través de sus redes sociales". Profesional de la información, v. 30. n. 4, e300421. https://doi.org/10.3145/epi.2021.jul.21

Mellado, Claudia; Hallin, Daniel; Cárcamo-Ulloa, Luis; Alfaro, Rodrigo; Jackson, Daniel; Humanes, Marí­a-Luisa; Márquez-Ramí­rez, Mireya; Mick, Jacques; Mothes, Cornelia; Lin, Christi-I-Hsuan; Lee, Misook; Alfaro, Amaranta; Isbej, José; Ramos, Andrés (2021b). "Sourcing pandemic news: A cross-national computational analysis of mainstream media coverage of Covid-19 on Facebook, Twitter, and Instagram". Digital journalism, v. 9, n. 9, pp. 1261-1285. https://doi.org/10.1080/21670811.2021.1942114

Mellado, Claudia; Hermida, Alfred (2021). "The promoter, celebrity, and joker roles in journalists´ social media performance". Social media + society, v. 7, n. 1. https://doi.org/10.1177/2056305121990643

Morstatter, Fred; Wu, Liang; Yavanoglu, Uraz; Corman, Stephen R.; Liu, Huan (2018). "Identifying framing bias in online news". ACM Transactions on social computing, v. 1, n. 2. https://doi.org/10.1145/3204948

Newman, Nic; Dutton, William H.; Blank, Grant (2012). "Social media in the changing ecology of news: the fourth and fifth estates in Britain". International journal of internet science, v. 7, n. 1, pp. 6-22. https://www.ijis.net/ijis7_1/ijis7_1_newman_et_al.pdf

Newman, Nic; Fletcher, Richard; Schulz, Anne; Andi, Singe; Robertson, Craig T.; Nielsen, Rasmus-Kleis (2021). Digital news report 2021. Reuters Institute for the Study of Journalism. https://reutersinstitute.politics.ox.ac.uk/sites/default/files/2021-06/Digital_News_Report_2021_FINAL.pdf

Ojo, Adegboyega; Heravi, Bahareh (2018). "Patterns in award winning data storytelling. Story types, enabling tools and competences". Digital journalism, v. 6, n. 6, pp. 693-718. https://doi.org/10.1080/21670811.2017.1403291

Pariser, Ely (2011). The filter bubble: How the new personalized web is changing what we read and how we think. Penguin. ISBN: 978 0 143121237

Pereira, Moisés; Cardeal-Pádua, Flavio-Luis; Machado-Pereira, Adriano-César; Silva, Giani-David; Benevenuto-de-Souza, Fabricio (2015). "Multimodal sentiment analysis for automatic estimation of polarity tension of TV news in TV newscasts videos". In: Proceedings of the 21st Brazilian symposium on multimedia and the web, WebMedia´15, pp. 157-160. https://doi.org/10.1145/2820426.2820461

Raimondo-Anselmino, Natalia; Sambrana, Alejandro; Cardoso, Ana-Laura (2017). "Medios tradicionales y redes sociales en internet: un análisis de los posteos compartidos por los diarios argentinos Clarí­n y La Nación en Facebook (2010-2015)". Astrolabio, n. 19, pp. 32-68. https://revistas.unc.edu.ar/index.php/astrolabio/article/view/17787

Romanou, Angelika; Smeros, Panayiotis; Castillo, Carlos; Aberer, Karl (2020). "Scilens news platform: A system for real-time evaluation of news articles". In: Proceedings of the VLDB endowment, v. 13, n. 12, pp. 2969-2972. https://doi.org/10.14778/3415478.3415521

Sáez-Trumper, Diego; Castillo, Carlos; Lalmas, Mounia (2013). "Social media news communities: gatekeeping, coverage, and statement bias". In: Proceedings of the 22nd ACM international conference on information & knowledge management, pp. 1679-1684. https://doi.org/10.1145/2505515.2505623

Salazar, Diego (2019). No hemos entendido nada: Qué ocurre cuando dejamos el futuro de la prensa a merced de un algoritmo. Editorial Debate. ISBN: 978 84 17636258

Schmitz-Weiss, Amy; De-Macedo-Higgins-Joyce, Vanessa; Saldaña, Magdalena; Calmon-Alves, Rosental (2017). "Latin American investigative journalism education: Learning practices, learning gaps". Journalism & mass communication educator, v. 72, n. 3, pp. 334-348. https://doi.org/10.1177/1077695817711611

Trilling, Damian; Jonkman, Jeroen G. F. (2018). "Scaling up content analysis". Communication methods and measures, v. 12, n. 2-3, pp. 158-174. https://doi.org/10.1080/19312458.2018.1447655

Underwood, Richard (2017). "Building bridges: The system administration tools and techniques used to deploy bridges". In: Proceedings of the practice and experience in advanced research computing 2017 on sustainability, success and impact, PEARC17, article n. 5. https://doi.org/10.1145/3093338.3093339

Van-Atteveldt, Wouter; Peng, Tai-Quan (2018). "When communication meets computation: Opportunities, challenges, and pitfalls in computational communication science". Communication methods and measures, v. 12, n. 2-3, pp. 81-92. https://doi.org/10.1080/19312458.2018.1458084

Vernier, Mathieu; Cárcamo-Ulloa, Luis; Scheihing-Garcí­a, Eliana (2017). "Diagnóstico de la estrategia editorial de medios informativos chilenos en Twitter mediante un clasificador de noticias automatizado". Revista austral de ciencias sociales, n. 30, pp. 183-201. https://doi.org/10.4206/rev.austral.cienc.soc.2016.n30-09

Watts, Duncan J. (2016). "Computational social science: Exciting progress and future challenges". In: Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining, KDD´16, p. 419. https://doi.org/10.1145/2939672.2945366

Watts, Duncan J. (2017). "Should social science be more solution-oriented?". Nature human behaviour, v. 1, artí­culo n. 15. https://doi.org/10.1038/s41562-016-0015

Watts, Duncan J.; Rothschild, David M.; Mobius, Markus (2021). "Measuring the news and its impact on democracy". In: Scheufele, Dietram (ed.). Proceedings of the National Academy of Sciences, v. 118, n. 15. https://doi.org/10.1073/pnas.1912443118

Zhang, Hao; Boons, Frank; Batista-Navarro, Riza (2019). "Whose story is it anyway? Automatic extraction of accounts from news articles". Information processing & management, v. 56, n. 5, pp. 1837-1848. https://doi.org/10.1016/j.ipm.2019.02.012

Zhou, Xinyi; Zafarani, Reza; Shu, Kai; Liu, Huan (2019). "Fake news: fundamental theories, detection strategies and challenges". In: Proceedings of the 12th ACM international conference on web search and data mining, WSDM "˜19, pp. 836-837. https://doi.org/10.1145/3289600.3291382

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Publicado

2022-10-03

Cómo citar

Cárcamo-Ulloa, L., Mellado, C., Blaña-Romero, C., & Sáez-Trumper, D. (2022). Galileo, a data platform for viewing news on social networks. Profesional De La información, 31(5). https://doi.org/10.3145/epi.2022.sep.12

Número

Vol. 31 Núm. 5 (2022): Digital audio communication

Sección

Artí­culos de investigación / Research articles

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Derechos de autor 2022 Profesional de la información

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