Recursos

Objetos

Sitios Web

Brügger, N. (2005) Archiving Websites. General Considerations and Strategies. Aarhus, Dinamarca: The Centre for Internet Research.

Brügger, N. (2013a). Web historiography and Internet Studies: Challenges and perspectives. New Media & Society, 15(5), 752-764. http://dx.doi.org/10.1177/1461444812462852

Brügger, N. (2013b). Historical Network Analysis of the Web. Social Science Computer Review, 31 (3), 306-321. http://dx.doi.org/10.1177/0894439312454267

Brügger, N., & Schroeder, R. (Eds.). (2017). The web as history: Using web archives to understand the past and the present. UCL Press. Libro de acceso abierto en: https://www.uclpress.co.uk/products/84067

Rogers, R. (2017). Doing Web history with the Internet Archive: screencast documentaries. Internet Histories, 1(1-2), 160-172.

Redes de Hipervínculos

Maeyer, J. de (2012). Towards a hyperlinked society: A critical review of link studies. New Media & Society, 15(5), 737-751. http://dx.doi.org/10.1177/1461444812462851

Marres, N. & Rogers, R. (2005). Recipe for Tracing the Fate of Issues and their publics on the Web. En Latour, B. & Wiebel, P. (Eds) Making Things Public. Atmospheres of democracy. Cambridge, MA: MIT Press.

Rogers, R. (2013). The Link and the Politics of Web Space. En Digital methods (pp. 39-59). Cambridge, MA: MIT press.

Rogers, R. (2018). Issuecrawling: Building lists of URLs and mapping website networks. En Lury et al (Eds.) Routledge handbook of interdisciplinary research methods (pp. 169-175). Routledge.

Rogers, R. & Marres, N. (2000). Landscaping climate change: a mapping technique for understanding science and technology debates on the World Wide Web. Public Understanding of Science, 9(2), 141-163.

Park, H. W. & Thelwall, M. (2003). Hyperlink Analyses of the World Wide Web: A Review. Journal of Computer- Mediated Communication, 8(4). http://dx.doi.org/10.1111/j.1083-6101.2003.tb00223.x

Thelwall, M. (2004). Link Analysis. An information Science Approach. Amsterdam: Elsevier. Thelwall, M. (2009). Introduction to Webometrics: Quantitative Web Research for the Social Sciences. Morgan & Claypool Publishers.

Valderrama, M. (2016). Siguiendo los hipervínculos de controversias socio-técnicas:  el caso de  Hidroaysén. Virtualis, 7(14), 170-205. https://www.revistavirtualis.mx/index.php/virtualis/article/view/145

Blogs

Weltevrede, E. & Helmond, A. (2012). Where do bloggers blog? Platform transitions within the historical Dutch blogosphere. First Monday 17(2). http://dx.doi.org/10.5210/fm.v17i2.3775

Facebook

Airoldi, M. (2018). Ethnography and the digital fields of social media. International Journal of Social Research Methodology, 21(6), 661-673. https://doi.org/10.1080/13645579.2018.1465622

Bidargaddi, N., Musiat, P., Makinen, V.-P., Ermes, M., Schrader, G., & Licinio, J. (2017). Digital footprints: Facilitating large-scale environmental psychiatric research in naturalistic settings through data from everyday technologies. Molecular Psychiatry, 22(2), 164-169. https://doi.org/10.1038/mp.2016.224

Birkbak, A., & Carlsen, H. B. (2016). The World of Edgerank: Rhetorical Justifications of Facebook’s News Feed Algorithm. Computational Culture. A journal of software studies, 5.

Bivens, R. (2017). The gender binary will not be deprogrammed: Ten years of coding gender on Facebook. New Media & Society, 19(6), 880-898. https://doi.org/10.1177/1461444815621527

Bucher, T. (2012). Want to be on the top? Algorithmic power and the threat of invisibility on Facebook. New Media & Society, 14(7), 1164-1180. https://doi.org/10.1177/1461444812440159

Bucher, T. (2017). The algorithmic imaginary: Exploring the ordinary affects of Facebook algorithms. Information, Communication & Society, 20(1), 30-44. https://doi.org/10.1080/1369118X.2016.1154086

Crespo, K. L., Elgueta Ruiz, Á., & Riffo Parra, A. (2009). Motivación, consumo y apreciaciones de Facebook por parte de jóvenes universitarios: El caso de la Red UCSC Chile. Ultima década, 17(31). https://doi.org/10.4067/S0718-22362009000200008

Elmer, G. (2019). Prospecting Facebook: The limits of the economy of attention. Media, Culture & Society, 41(3), 332-346. https://doi.org/10.1177/0163443718813467

Gerlitz, C., & Helmond, A. (2013). The like economy: Social buttons and the data-intensive web. New Media & Society, 15(8), 1348-1365. https://doi.org/10.1177/1461444812472322

Giglietto, F., Rossi, L., & Bennato, D. (2012). The Open Laboratory: Limits and Possibilities of Using Facebook, Twitter, and YouTube as a Research Data Source. Journal of Technology in Human Services, 30(3-4), 145-159. https://doi.org/10.1080/15228835.2012.743797

Halpern, D., & Gibbs, J. (2013). Social media as a catalyst for online deliberation? Exploring the affordances of Facebook and YouTube for political expression. Computers in Human Behavior, 29(3), 1159-1168. https://doi.org/10.1016/j.chb.2012.10.008

Helmond, A. (2015). The Platformization of the Web: Making Web Data Platform Ready. Social Media + Society, 1(2), 205630511560308. https://doi.org/10.1177/2056305115603080

Jayyusi, L., & Roald, A. S. (2016). Media and political contestation in the contemporary Arab world: A decade of change. http://site.ebrary.com/id/11127211

Kosinski, M., Matz, S. C., Gosling, S. D., Popov, V., & Stillwell, D. (2015). Facebook as a research tool for the social sciences: Opportunities, challenges, ethical considerations, and practical guidelines. American Psychologist, 70(6), 543-556. https://doi.org/10.1037/a0039210

Kosinski, M., Stillwell, D., & Graepel, T. (2013). Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences, 110(15), 5802-5805. https://doi.org/10.1073/pnas.1218772110

Lambiotte, R., & Kosinski, M. (2014). Tracking the Digital Footprints of Personality. Proceedings of the IEEE, 102(12), 1934-1939. https://doi.org/10.1109/JPROC.2014.2359054

Miller, D. (2011). Tales from facebook. Polity.

Roosendaal, A. (2010). Facebook Tracks and Traces Everyone: Like This! SSRN Electronic Journal. https://doi.org/10.2139/ssrn.1717563

Sabbar, S., & Hyun, D. (2016). What makes it likeable? A study on the reactions to messages in a digital social network: the case of Facebook in Farsi. SpringerPlus, 5(1), 2103. https://doi.org/10.1186/s40064-016-3771-3

Santana, L. E., & Huerta Cánepa, G. (2019). ¿Son bots? Automatización en redes sociales durante las elecciones presidenciales de Chile 2017. Cuadernos.info, 44, 61-77. https://doi.org/10.7764/cdi.44.1629

Smith, N., & Graham, T. (2019). Mapping the anti-vaccination movement on Facebook. Information, Communication & Society, 22(9), 1310-1327. https://doi.org/10.1080/1369118X.2017.1418406

Valenzuela, S., Arriagada, A., & Scherman, A. (2014). Facebook, Twitter, and youth engagement: A quasi-experimental study of social media use and protest behavior using propensity score matching. International Journal of Communication8, 25. https://ijoc.org/index.php/ijoc/article/view/2022

van Dijck, J. (2013). Facebook and the engineering of connectivity: A multi-layered approach to social media platforms. Convergence: The International Journal of Research into New Media Technologies, 19(2), 141-155. https://doi.org/10.1177/1354856512457548

Vitak, J. (2016). Facebook as a research tool in the social and computer sciences. En L. Sloan, & A. Quan-Haase The SAGE Handbook of social media research methods (pp. 627-642). SAGE Publications Ltd, https://www.doi.org/10.4135/9781473983847.n37

Wilson, R. E., Gosling, S. D., & Graham, L. T. (2012). A Review of Facebook Research in the Social Sciences. Perspectives on Psychological Science, 7(3), 203-220. https://doi.org/10.1177/1745691612442904

Youyou, W., Kosinski, M., & Stillwell, D. (2015). Computer-based personality judgments are more accurate than those made by humans. Proceedings of the National Academy of Sciences, 112(4), 1036-1040. https://doi.org/10.1073/pnas.1418680112

Zhao, S., Grasmuck, S., & Martin, J. (2008). Identity construction on Facebook: Digital empowerment in anchored relationships. Computers in Human Behavior, 24(5), 1816-1836. https://doi.org/10.1016/j.chb.2008.02.012

Twitter

Borra, E., & Rieder, B. (2014). Programmed method: developing a toolset for capturing and analyzing tweets. Aslib Journal of Information Management, 66 (3), 262-278. http://dx.doi.org/10.1108/AJIM-09-2013-0094

Bruns, A. (2012). How long is a tweet? Mapping dynamic conversation networks on Twitter using Gawk and Gephi. Information, Communication & Society, 15(9), 1323-1351.

Bruns, A., & Liang, Y. E. (2012). Tools and methods for capturing Twitter data during natural disasters. First Monday, 17(4-2). http://firstmonday.org/htbin/cgiwrap/bin/ojs/index.php/fm/article/view/3937/3193

Bruns, A., &  Highfield,  T.  (2013).  Political  networks  on  Twitter:  Tweeting  the  Queensland  state election. Information, Communication & Society, 16(5), 667-691.

Bruns, A., & Stieglitz, S. (2013). Towards  more  systematic  Twitter  analysis:  metrics  for  tweeting  activities. International journal of social research methodology, 16(2), 91-108.

Bucher, T. (2013). Objects of Intense Feeling. The Case of the Twitter API. Computational Culture 3. http://computationalculture.net/objects-of-intense-feeling-the-case-of-the-twitter-api/

Burgess, J., & Matamoros-Fernández, A. (2016). Mapping sociocultural controversies across digital media platforms: One week of #gamergate on Twitter, YouTube, and Tumblr. Communication Research and Practice, 2(1), 79-96. https://doi.org/10.1080/22041451.2016.1155338

Hilbert, M., Vázquez, J., Halpern, D., Valenzuela, S. & Arriagada, E. (2016). One Step, Two Step, Network Step? Complementary Perspectives on Communication Flows in Twittered Citizen Protests. Social Science Computer Review, Abril 12. http://dx.doi.org/10.1177/0894439316639561

Jürgens, P., & Jungherr, A. (2016). A tutorial for using Twitter data in the social sciences: Data collection, preparation, and analysis. https://ssrn.com/abstract=2710146

Sajuria, J. & Fábrega, J. (2016). Do we need polls? Why Twitter will not replace opinion surveys, but can complement them. En H. Snee et al. (eds.), Digital Methods for Social Science. Nueva York, EE.UU.:  Palgrave MacMillan.

Valenzuela, S., Arriagada, A., & Scherman, A. (2014). Facebook, Twitter, and youth engagement: A quasi-experimental study of social media use and protest behavior using propensity score matching. International Journal of Communication8, 25. https://ijoc.org/index.php/ijoc/article/view/2022

Weller, K., Bruns, A., Burgess, J., Mahrt, M., & Puschmann, C. (eds.) (2014). Twitter and society. Nueva York: Peter Lang.

Instagram

Arriagada, A., & Ibáñez, F. (2020). “You Need At Least One Picture Daily, if Not, You’re Dead”: Content Creators and Platform Evolution in the Social Media Ecology. Social Media + Society, 6(3), 205630512094462. https://doi.org/10.1177/2056305120944624

Cornelio, G. S., & Roig, A. (2020). Mixed methods on Instagram research: Methodological challenges in data analysis and visualization. Convergence: The International Journal of Research into New Media Technologies, 135485652094161. https://doi.org/10.1177/1354856520941613

Cotter, K. (2019). Playing the visibility game: How digital influencers and algorithms negotiate influence on Instagram. New Media & Society, 21(4), 895-913. https://doi.org/10.1177/1461444818815684

Duguay, S. (2016). Lesbian, Gay, Bisexual, Trans, and Queer Visibility Through Selfies: Comparing Platform Mediators Across Ruby Rose’s Instagram and Vine Presence. Social Media + Society, 2(2), 205630511664197. https://doi.org/10.1177/2056305116641975

Duguay, S. (2019). “Running the Numbers”: Modes of Microcelebrity Labor in Queer Women’s Self-Representation on Instagram and Vine. Social Media + Society, 5(4), 205630511989400. https://doi.org/10.1177/2056305119894002

Duportail, J., Kayser-Bril, N., Schacht, K., & Richard, É. (s. f.). Undress or fail: Instagram’s algorithm strong-arms users into showing skin. AlgorithmWatch. Recuperado 26 de agosto de 2020, de https://algorithmwatch.org/en/story/instagram-algorithm-nudity/

Highfield, T., & Leaver, T. (2014). A methodology for mapping Instagram hashtags. First Monday. https://doi.org/10.5210/fm.v20i1.5563

Highfield, T., & Leaver, T. (2016). Instagrammatics and digital methods: studying visual social media, from selfies and GIFs to memes and emoji. Communication Research and Practice, 2:1, 47-62. http://dx.doi.org/10.1080/22041451.2016.1155332

Jiang, S., & Ngien, A. (2020). The Effects of Instagram Use, Social Comparison, and Self-Esteem on Social Anxiety: A Survey Study in Singapore. Social Media + Society, 6(2), 205630512091248. https://doi.org/10.1177/2056305120912488

Mackson, S. B., Brochu, P. M., & Schneider, B. A. (2019). Instagram: Friend or foe? The application’s association with psychological well-being. New Media & Society, 21(10), 2160-2182. https://doi.org/10.1177/1461444819840021

Munk, A. K., Abildgaard, M. S., Birkbak, A., & Petersen, M. K. (2016). (Re-)Appropriating Instagram for Social Research: Three Methods for Studying Obesogenic Environments. Proceedings of the 7th 2016 International Conference on Social Media & Society – SMSociety ’16, 1-10. https://doi.org/10.1145/2930971.2930991

O’Meara, V. (2019). Weapons of the Chic: Instagram Influencer Engagement Pods as Practices of Resistance to Instagram Platform Labor. Social Media + Society, 5(4), 205630511987967. https://doi.org/10.1177/2056305119879671

Varela-Rodríguez , M., & Vicente-Mariño , M. (2021). Imágenes desgarradas: el uso de scrapers en investigación social en Instagram sobre cáncer. Cuadernos.Info , (49), 72-97. https://doi.org/10.7764/cdi.49.27809

Verdú, A. V., de Casas Moreno, P., & Aguaded, I. (2019). Youtubers e instagrammers: Una revisión sistemática cuantitativa. En Competencia mediática y digital: Del acceso al empoderamiento (pp. 211-220). Grupo Comunicar. https://bb4dba4f-ce78-42ca-a171-3fe700002d69.filesusr.com/ugd/438ae9_b923d45a452b43829adcd5db53ef0e29.pdf

Weerasinghe, J., Flanigan, B., Stein, A., McCoy, D., & Greenstadt, R. (2020). The Pod People: Understanding Manipulation of Social Media Popularity via Reciprocity Abuse. Proceedings of The Web Conference 2020, 1874-1884. https://doi.org/10.1145/3366423.3380256

YouTube

Acosta, M., & Marcela, A. (s. f.). Homecasting: Visualidades contemporáneas. Acerca de contenidos audiovisuales de producción casera publicados en el portal YouTube. 323.

Ardèvol, E. (s. f.). “Si quieres vernos en acción: YouTube.com” Prácticas mediáticas y autoproducción en Internet. 18.

Arthurs, J., Drakopoulou, S., & Gandini, A. (2018). Researching YouTube. Convergence: The International Journal of Research into New Media Technologies, 24(1), 3-15. https://doi.org/10.1177/1354856517737222

Bärtl, M. (2018). YouTube channels, uploads and views: A statistical analysis of the past 10 years. Convergence: The International Journal of Research into New Media Technologies, 24(1), 16-32. https://doi.org/10.1177/1354856517736979

Berryman, R., & Kavka, M. (2018). Crying on YouTube: Vlogs, self-exposure and the productivity of negative affect. Convergence: The International Journal of Research into New Media Technologies, 24(1), 85-98. https://doi.org/10.1177/1354856517736981

Bishop, S. (2018). Anxiety, panic and self-optimization: Inequalities and the YouTube algorithm. Convergence: The International Journal of Research into New Media Technologies, 24(1), 69-84. https://doi.org/10.1177/1354856517736978

Bishop, S. (2019). Managing visibility on YouTube through algorithmic gossip. New Media & Society, 21(11-12), 2589-2606. https://doi.org/10.1177/1461444819854731

Burgess, J., & Green, J. (2009). YouTube: Online Video and Participatory Culture. Polity Press.

Burgess, J., & Matamoros-Fernández, A. (2016). Mapping sociocultural controversies across digital media platforms: One week of #gamergate on Twitter, YouTube, and Tumblr. Communication Research and Practice, 2(1), 79-96. https://doi.org/10.1080/22041451.2016.1155338

Campos Rodríguez, J. M. (2012). Broadcast yourself! Identidad, comunidad y masas inteligentes para la nueva sociedad del conocimiento. Revista ICONO14. Revista científica de Comunicación y Tecnologías emergentes, 5(1), 160. https://doi.org/10.7195/ri14.v5i1.376

Courtois, C., Mechant, P., Ostyn, V., & De Marez, L. (2013). Uploaders’ definition of the networked public on YouTube and their feedback preferences: A multi-method approach. Behaviour & Information Technology, 32(6), 612-624. https://doi.org/10.1080/0144929X.2011.586727

Crawford, K., & Gillespie, T. (2016). What is a flag for? Social media reporting tools and the vocabulary of complaint. New Media & Society, 18(3), 410-428. https://doi.org/10.1177/1461444814543163

Cunningham, S., & Craig, D. (2017). Being ‘really real’ on YouTube: Authenticity, community and brand culture in social media entertainment. Media International Australia, 164(1), 71-81. https://doi.org/10.1177/1329878X17709098

Cunningham, S., Craig, D., & Silver, J. (2016). YouTube, multichannel networks and the accelerated evolution of the new screen ecology. Convergence: The International Journal of Research into New Media Technologies, 22(4), 376-391. https://doi.org/10.1177/1354856516641620

Ding, Y., Du, Y., Hu, Y., Liu, Z., Wang, L., Ross, K., & Ghose, A. (2011). Broadcast yourself: Understanding YouTube uploaders. Proceedings of the 2011 ACM SIGCOMM Conference on Internet Measurement Conference – IMC ’11, 361. https://doi.org/10.1145/2068816.2068850

Elorriaga Illera, A., & Monge Benito, S. (2018). La profesionalización de los youtubers: El caso de Verdeliss y las marcas. https://doi.org/10.4185/RLCS-2018-1244

Feroz Khan, G., & Vong, S. (2014). Virality over YouTube: An empirical analysis. Internet Research, 24(5), 629-647. https://doi.org/10.1108/IntR-05-2013-0085

García-Rapp, F. (2017). Popularity markers on YouTube’s attention economy: The case of Bubzbeauty. Celebrity Studies, 8(2), 228-245. https://doi.org/10.1080/19392397.2016.1242430

Gerhards, C. (2019). Product placement on YouTube: An explorative study on YouTube creators’ experiences with advertisers. Convergence: The International Journal of Research into New Media Technologies, 25(3), 516-533. https://doi.org/10.1177/1354856517736977

Giglietto, F., Rossi, L., & Bennato, D. (2012). The Open Laboratory: Limits and Possibilities of Using Facebook, Twitter, and YouTube as a Research Data Source. Journal of Technology in Human Services, 30(3-4), 145-159. https://doi.org/10.1080/15228835.2012.743797

Gillespie, T. (2010). The politics of ‘platforms’. New Media & Society, 12(3), 347-364. https://doi.org/10.1177/1461444809342738

Gillespie, T. (2015). Platforms Intervene. Social Media + Society, 1(1), 205630511558047. https://doi.org/10.1177/2056305115580479

Halpern, D., & Gibbs, J. (2013). Social media as a catalyst for online deliberation? Exploring the affordances of Facebook and YouTube for political expression. Computers in Human Behavior, 29(3), 1159-1168. https://doi.org/10.1016/j.chb.2012.10.008

Hidalgo-Marí, T., & Sanchez-Olmos, C. (2016). Fanáticas en serie. YouTube, cultura participativa y series de televisión: Estudio comparativo de género. Cuadernos.info, 38, 149-164. https://doi.org/10.7764/cdi.38.733

Himma-Kadakas, M. (2018). The food chain of YouTubers: Engaging audiences with formats and genres. Observatorio (OBS*). https://doi.org/10.15847/obsOBS0001385

Hou, M. (2018). Social media celebrity and the institutionalization of YouTube. Convergence: The International Journal of Research into New Media Technologies, 135485651775036. https://doi.org/10.1177/1354856517750368

Hunter, D., Lobato, R., Megan Richardson, & Julian Thomas (Eds.). (2013). Amateur media: Social, culturual and legal perspectives. Routledge.

Jerslev, A. (2016). In the Time of the Microcelebrity: Celebrification and the YouTuber Zoella. 19.

Kim, J. (2012). The institutionalization of YouTube: From user-generated content to professionally generated content. Media, Culture & Society, 34(1), 53-67. https://doi.org/10.1177/0163443711427199

Lange, P. G. (2014). Kids on youtube: Technical identities and digital literacies. Left Coast Press.

Lange, P. G. (2019). Thanks for watching: An anthropological study of video sharing on YouTube. University Press of Colorado.

Lindgren, S. (2012). ‘It took me about half an hour, but I did it!’ Media circuits and affinity spaces around how-to videos on YouTube. European Journal of Communication, 27(2), 152-170. https://doi.org/10.1177/0267323112443461

Lobato, R. (2016). The cultural logic of digital intermediaries: YouTube multichannel networks. Convergence: The International Journal of Research into New Media Technologies, 22(4), 348-360. https://doi.org/10.1177/1354856516641628

Martínez, C., & Olsson, T. (2019). Making sense of YouTubers: How Swedish children construct and negotiate the YouTuber Misslisibell as a girl celebrity. Journal of Children and Media, 13(1), 36-52. https://doi.org/10.1080/17482798.2018.1517656

Martini, M. (2018). On the user’s side: YouTube and distant witnessing in the age of technology-enhanced mediability. Convergence: The International Journal of Research into New Media Technologies, 24(1), 33-49. https://doi.org/10.1177/1354856517736980

Martins Flores, N., & Muniz de Medeiros, P. (2018). Science on YouTube: Legitimation Strategies of Brazilian Science YouTubers. Revue Française Des Sciences de l’information et de La Communication, 15. https://doi.org/10.4000/rfsic.4782

Miller, B. (2017). YouTube as Educator: A Content Analysis of Issues, Themes, and the Educational Value of Transgender-Created Online Videos. Social Media + Society, 3(2), 205630511771627. https://doi.org/10.1177/2056305117716271

Moe, H. (2019). Comparing Platform “Ranking Cultures” Across Languages: The Case of Islam on YouTube in Scandinavia. Social Media + Society, 5(1), 205630511881703. https://doi.org/10.1177/2056305118817038

Moreno Acosta, A. M. (2017). Amateur audiovisual Internet: Theoretical and methodological approach of a research process. PAAKAT: Revista de Tecnología y Sociedad, 7(13), 1-13. https://doi.org/10.32870/Pk.a7n13.300

Morreale, J. (2014). From homemade to store bought: Annoying Orange and the professionalization of YouTube. Journal of Consumer Culture, 14(1), 113-128. https://doi.org/10.1177/1469540513505608

Muñoz Yáñez, B. A. (2014). Entramados semánticos: Una propuesta para el análisis de la reconfiguración del significado en YouTube. Signo y Pensamiento, 33(64). https://doi.org/10.11144/Javeriana.SyP33-64.espa

Muñoz Yáñez, B. A. (2018). Análisis del involucramiento y la reconfiguración en YouTube México a partir del caso #lady100pesos. Fonseca, Journal of Communication, 0(16), 155. https://doi.org/10.14201/fjc201816155170

Murolo, N. L. (2015). DE LOS BLOOPERS A LOS YOUTUBERS. DIEZ AÑOS DE YOUTUBE EN LA CULTURA DIGITAL. 1(45), 15.

Murthy, D., & Sharma, S. (2019). Visualizing YouTube’s comment space: Online hostility as a networked phenomena. New Media & Society, 21(1), 191-213. https://doi.org/10.1177/1461444818792393

Olvera, J. J., Zarazúa, J. C., Velasco Rodríguez, H., & Castro, Y. R. (2016). Música, migración y redes sociales digitales en tres comunidades mexicanas. Revista Trace, 67, 62. https://doi.org/10.22134/trace.67.2015.17

Park, M., Park, J., Baek, Y. M., & Macy, M. (2017). Cultural values and cross-cultural video consumption on YouTube. PLOS ONE, 12(5), e0177865. https://doi.org/10.1371/journal.pone.0177865

Pérez-Torres, V., Pastor-Ruiz, Y., & Abarrou-Ben-Boubaker, S. (2018). YouTuber videos and the construction of adolescent identity. Comunicar, 26(55), 61-70. https://doi.org/10.3916/C55-2018-06

Pietrobruno, S. (2018). YouTube flow and the transmission of heritage: The interplay of users, content, and algorithms. Convergence: The International Journal of Research into New Media Technologies, 24(6), 523-537. https://doi.org/10.1177/1354856516680339

Pintado, T., & Sánchez, J. (2017). La relación entre el visionado y la evaluación del anuncio. Un análisis estructural de la publicidad no pagada en YouTube. Cuadernos.info, 40, 189-202. https://doi.org/10.7764/cdi.40.1088

Postigo, H. (2016). The socio-technical architecture of digital labor: Converting play into YouTube money. New Media & Society, 18(2), 332-349. https://doi.org/10.1177/1461444814541527

Rieder, B., Coromina, Ò., & Matamoros-Fernández, A. (2020). Mapping YouTube. First Monday. https://doi.org/10.5210/fm.v25i8.10667

Rieder, B., Matamoros-Fernández, A., & Coromina, Ò. (2018). From ranking algorithms to ‘ranking cultures’: Investigating the modulation of visibility in YouTube search results. Convergence: The International Journal of Research into New Media Technologies, 24(1), 50-68. https://doi.org/10.1177/1354856517736982

Rivera, C. M. (2012). Narrativa audiovisual mapuche en Youtube. Subalternidad en la red global. Revista Comunicación, 11.

Sabich, M. A., & Steinberg, L. (2017). Discursividad youtuber: Afecto, narrativas y estrategias de socialización en comunidades de Internet. Revista Mediterránea de Comunicación, 8(2). https://doi.org/10.14198/MEDCOM2017.8.2.12

Scolari, C. A., & Fraticelli, D. (2017). The case of the top Spanish YouTubers: Emerging media subjects and discourse practices in the new media ecology. Convergence: The International Journal of Research into New Media Technologies, 135485651772180. https://doi.org/10.1177/1354856517721807

Shifman, L. (2012). An anatomy of a YouTube meme. New Media & Society, 14(2), 187-203. https://doi.org/10.1177/1461444811412160

Simonsen, T. M. (2011). Categorising YouTube. MedieKultur: Journal of Media and Communication Research, 27(51), 23. https://doi.org/10.7146/mediekultur.v27i51.5483

Siri, L. (s. f.). Un análisis de You Tube como artefacto sociotécnico. 14.

Snickars, P., & Vonderau, P. (Eds.). (2009). The YouTube reader. National Library of Sweden.

Soha, M., & McDowell, Z. J. (2016). Monetizing a Meme: YouTube, Content ID, and the Harlem Shake. Social Media + Society, 2(1), 205630511562380. https://doi.org/10.1177/2056305115623801

Sued, G. (2017). Formas distantes de ver youtube: Una exploración por la comunidad booktube. Virtualis, 14, 90-112.

Thelwall, M. (2018). Social media analytics for YouTube comments: Potential and limitations. International Journal of Social Research Methodology, 21(3), 303-316. https://doi.org/10.1080/13645579.2017.1381821

Thelwall, M., Sud, P., & Vis, F. (2012). Commenting on YouTube videos: From guatemalan rock to El Big Bang. Journal of the American Society for Information Science and Technology, 63(3), 616-629. https://doi.org/10.1002/asi.21679

Valderrama, M., & Velasco, P. (2018). ¿Programando la creación? Una exploración al campo socio-técnico de YouTube en Chile. Cuadernos.info, 15.

van Es, K. (2020). YouTube’s Operational Logic: “The View” as Pervasive Category. Television & New Media, 21(3), 223-239. https://doi.org/10.1177/1527476418818986

Vizcaíno-Verdú, A., & Contreras-Pulido, P. (2020). ¡Soy músico youtuber! Construcción de la identidad artística a través del cover y la ficción. El caso de las violinistas Taylor Davis y Lindsey Stirling. Revista Mediterránea de Comunicación, 11(1). https://doi.org/10.14198/MEDCOM2020.11.1.1

Vizcaíno-Verdú, M. A. (s. f.). Youtubers e instagrammers: Una revisión sistemática cuantitativa. 9.

Vonderau, P. (2016). The video bubble: Multichannel networks and the transformation of YouTube. Convergence: The International Journal of Research into New Media Technologies, 22(4), 361-375. https://doi.org/10.1177/1354856516641882

Welbourne, D. J., & Grant, W. J. (2016). Science communication on YouTube: Factors that affect channel and video popularity. Public Understanding of Science, 25(6), 706-718. https://doi.org/10.1177/0963662515572068

Wesch, M. (2009). Youtube and you: Experiences of self-awareness in the context collapse of the recording webcam. Explorations in media ecology8(2), 19-34.

Wikipedia

Bilić, P. (2015). ‘Searching for a centre that holds’ in the network society: Social construction of knowledge on, and with, English Wikipedia. New Media & Society, 17(8), 1258-1276. https://doi.org/10.1177/1461444814522953

Borra, E., Laniado, D., Weltevrede, E., Mauri, M., Magni, G., Venturini, T., Ciuccarelli, P., Rogers, R., & Kaltenbrunner, A. (s. f.). A Platform for Visually Exploring the Development of Wikipedia Articles. 2.

Borra, E., Weltevrede, E., Ciuccarelli, P., Kaltenbrunner, A., Laniado, D., Magni, G., Mauri, M., Rogers, R., & Venturini, T. (2015). Societal Controversies in Wikipedia Articles. Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems – CHI ’15, 193-196. https://doi.org/10.1145/2702123.2702436

Ferron, M., & Massa, P. (2014). Beyond the encyclopedia: Collective memories in Wikipedia. Memory Studies, 7(1), 22-45. https://doi.org/10.1177/1750698013490590

Ford, H. (2014). Big Data and Small: Collaborations between ethnographers and data scientists. Big Data & Society, 1(2), 205395171454433. https://doi.org/10.1177/2053951714544337

Ford, H., & Wajcman, J. (2017). ‘Anyone can edit’, not everyone does: Wikipedia’s infrastructure and the gender gap. Social Studies of Science, 47(4), 511-527. https://doi.org/10.1177/0306312717692172

Geiger, R. S. (2014). Bots, bespoke, code and the materiality of software platforms. Information, Communication & Society, 17(3), 342-356. https://doi.org/10.1080/1369118X.2013.873069

Jemielniak, D. (2014). Common knowledge? An ethnography of Wikipedia. Stanford University Press.

Kittur, A., & Kraut, R. E. (s. f.). Harnessing the Wisdom of Crowds in Wikipedia: Quality through Coordination. 11.

Laniado, D., Borra, E., Mauri, M., Kaltenbrunner, A., Ciucarelli, P., Magni, G., Rogers, R., & Venturini, T. (2015). Description of the Contropedia Platform (p. 22).

Mestyán, M., Yasseri, T., & Kertész, J. (2013). Early Prediction of Movie Box Office Success Based on Wikipedia Activity Big Data. PLoS ONE, 8(8), e71226. https://doi.org/10.1371/journal.pone.0071226

Moat, H. S., Curme, C., Avakian, A., Kenett, D. Y., Stanley, H. E., & Preis, T. (2013). Quantifying Wikipedia Usage Patterns Before Stock Market Moves. Scientific Reports, 3(1), 1801. https://doi.org/10.1038/srep01801

Niederer, S. (2019). Networked Content Analysis: The Case of Climate Change. Institute of Network Cultures.

Niederer, S., & van Dijck, J. (2010). Wisdom of the crowd or technicity of content? Wikipedia as a sociotechnical system. New Media & Society, 12(8), 1368-1387. https://doi.org/10.1177/1461444810365297

Rogers, R., & Sendijarevic, E. (2012, June). Neutral or National Point of View? A Comparison of Srebrenica articles across Wikipedia’s language versions. In unpublished conference paper, Wikipedia Academy, Berlin, Germany (Vol. 29).

Weltevrede, E., & Borra, E. (2016). Platform affordances and data practices: The value of dispute on Wikipedia. Big Data & Society, 3(1), 205395171665341. https://doi.org/10.1177/2053951716653418

Yasseri, T., Sumi, R., Rung, A., Kornai, A., & Kertész, J. (2012). Dynamics of Conflicts in Wikipedia. PLoS ONE, 7(6), e38869. https://doi.org/10.1371/journal.pone.0038869

Tik Tok
Weimann, G., & Masri, N. (2020). Research Note: Spreading Hate on TikTok. Studies in Conflict & Terrorism, 1-14. https://doi.org/10.1080/1057610X.2020.1780027

Sitio web de una red de investigadores sobre TikTok https://tiktokcultures.com

Métodos

Etnografía

Ardévol, E. (2016). Big data y descripción densa. Virtualis, 7(14), 14-38. https://www.revistavirtualis.mx/index.php/virtualis/article/view/186

Ardévol, E., Estalella, A. & Domínguez, D. (coord.) (2008). La mediación tecnológica en la práctica etnográfica. Actas del XI congreso de antropología de la FAAEE. Donostia, Pais Vasco: Ankulegi Antropologia Elkartea.

Beaulieu, A. (2004). Mediating ethnography: objectivity and the making of ethnographies of the internet. Social Epistemology, 18(2-3), 139-164.

Beaulieu, A. & Simakova, E. (2006). Textured Connectivity: an ethnographic approach to understanding the timescape of hyperlinks. International Journal of Scientometrics, Informetrics and Bibliometrics, 10 (1).

Caliandro, A. (2018). Digital methods for ethnography: Analytical concepts for ethnographers exploring social media environments. Journal of Contemporary Ethnography, 47(5), 551-578.

Coleman, G. (2010). Ethnographic Approaches to Digital Media. Annual Review of Anthropology 39, 487–505. Escobar, A. (1994[2005]). Bienvenidos a Cyberia. Notas para una antropología de la cibercultura. Revista de Estudios Sociales, 22: 15-35.

Hine, C. (2000[2004]). Etnografía Virtual. Barcelona: Editorial UOC. Hine, C. (Ed.). (2005). Virtual methods: Issues in social research on the Internet. Nueva York: Berg.

Hine, C. (2015). Ethnography for the internet: Embedded, embodied and everyday. Bloomsbury Publishing.

Hine, C. (2017). Ethnography and the internet: taking account of emerging technological landscapes. Fudan Journal of the Humanities and Social Sciences10(3), 315-329.

Horst, H. & Miller, D. (Eds.) (2013). Digital Anthropology, Londres: Berg. Kozinets, R. (2010). Netnography: Doing Ethnographic Research Online. Los Angeles: Sage.

Miller, D. 2011. Tales from Facebook. Cambridge: Polity Press. Miller, D. & Slater, D. (2000). The Internet. An Ethnographic Approach. Oxford: Berg.

Murthy, D. (2008). Digital ethnography: An examination of the use of new technologies for social research. Sociology, 42(5), 837-855.

Pink, S., Horst, H., Postill, J., Hjorth, L., Lewis, T., & Tacchi, J. (Eds.) (2015). Digital Ethnography: Principles and Practice. Los Angeles, CA: Sage.

Postill, J., & Pink, S. (2012). Social media ethnography: The digital researcher in a messy web. Media International Australia, 145(1), 123-134. 

Análisis de Texto

Advancing Text Mining with R and quanteda. https://www.mzes.uni-mannheim.de/socialsciencedatalab/article/advancing-text-mining/

Benoit, K., Watanabe, K., Wang, H., Nulty, P., Obeng, A., Müller, S. & Matsuo, A. (2018). Quanteda: An R package for the quantitative analysis of textual data. Journal of Open Source Software, 3(30), 774. https://doi.org/10.21105/joss.00774.

Guía de inicio rápido de Quanteda en español: https://quanteda.io/articles/pkgdown/quickstart_es.html

DiMaggio, P. (2015). Adapting computational text analysis to social science (and vice versa). Big Data & Society, 2(2). https://doi.org/10.1177/2053951715602908

Grimmer, J., & Stewart, B. M. (2013). Text as data: The promise and pitfalls of automatic content analysis methods for political texts. Political analysis21(3), 267-297.

Veltri, G. A. (2019). Text Mining. En Digital social research (pp.166-192). Polity Press.

Watanabe, K. & Müller, S. (2021). Quanteda Tutorials. https://tutorials.quanteda.io.

Welbers, K., Van Atteveldt, W., & Benoit, K. (2017). Text analysis in R. Communication Methods and Measures, 11(4), 245-265. https://kenbenoit.net/pdfs/text_analysis_in_R.pdf

Scraping

Bradley, A., & James, R. J. (2019). Web scraping using R. Advances in Methods and Practices in Psychological Science2(3), 264-270. https://doi.org/10.1177/2515245919859535 [Videos y códigos en: https://practicewebscrapingsite.wordpress.com]

Hegelich, S. (2017). R for social media analysis. En L. Sloan & A. Quan-Haase (Eds.) The SAGE Handbook of Social Media Research Methods (pp. 486-499). Londres: Sage.

Marres, N., & Weltevrede, E. (2013). Scraping the social? Journal of Cultural Economy, 6, 313–335. https://doi.org/10.1080/17530350.2013.772070

Varela-Rodríguez , M., & Vicente-Mariño , M. (2021). Imágenes desgarradas: el uso de scrapers en investigación social en Instagram sobre cáncer. Cuadernos.Info , (49), 72-97. https://doi.org/10.7764/cdi.49.27809

API

Bruns, A. (2019). After the ‘APIcalypse’: Social media platforms and their fight against critical scholarly research. Information, Communication & Society, 22(11), 1544-1566. https://doi.org/10.1080/1369118X.2019.1637447

Bucher, T. (2013). Objects of Intense Feeling. The Case of the Twitter API. Computational Culture 3. http://computationalculture.net/objects-of-intense-feeling-the-case-of-the-twitter-api/

Gerlitz, C. (2018). Retrieving. En Lury et al (Eds.) Routledge Handbook of Interdisciplinary Research Methods (pp. 126-131). Routledge.

Helmond, A. (2015). The Platformization of the Web: Making Web Data Platform Ready. Social Media + Society, 1(2), 205630511560308. https://doi.org/10.1177/2056305115603080

Lomborg, S., & Bechmann, A. (2014). Using APIs for Data Collection on Social Media. The Information Society, 30(4), 256-265. https://doi.org/10.1080/01972243.2014.915276

Perriam, J., Birkbak, A., & Freeman, A. (2020). Digital methods in a post-API environment. International Journal of Social Research Methodology, 23(3), 277-290. https://doi.org/10.1080/13645579.2019.1682840

Puschmann, C., & Ausserhofer, J. (2017). Social data APIs: Origin, types, issues. En M. T. Schäfer & K. van Es (Eds.), The datafied society: Studying culture through data (pp. 147–154). Amsterdam: Amsterdam University Press.

Venturini, T., & Rogers, R. (2019). “API-Based Research” or How can Digital Sociology and Journalism Studies Learn from the Facebook and Cambridge Analytica Data Breach. Digital Journalism, 7(4), 532-540. https://doi.org/10.1080/21670811.2019.1591927

Ética

franzke, aline shakti, Bechmann, Anja, Zimmer, Michael, Ess, Charles and the
Association of Internet Researchers (2020). Internet Research: Ethical Guidelines 3.0.
https://aoir.org/reports/ethics3.pdf

Markham, A. N., Buchanan, E. (2017). Research Ethics in Context: Decision-Making in Digital Research. En M. Tobias Schäfer, K. van Es (Eds.). The Datafied Society: Studying Culture through Data (pp. 201–209). Amsterdam: Amsterdam University Press.  https://doi.org/10.25969/mediarep/12445

Markham, A. N., Herman, A., & Tiidenberg, K. (Eds.). (2018). Special Issue: Ethics as
Method. Social Media + Society.
https://journals.sagepub.com/page/sms/collections/ethics-as-method

Tiidenberg, K. (2018). Ethics in digital research. En U. Flick (Ed.), The SAGE Handbook of Qualitative Data Collection (pp. 466-479). SAGE.

Zimmer, M. (2010). “But the data is already public”: on the ethics of research in Facebook. Ethics and information technology, 12(4), 313-325.

Zook M., Barocas, S., boyd, d., Crawford, K., Keller, E., Gangadharan, S.P. et al. (2017). Ten simple rules for responsible big data research.               PLoS                Comput   Biol                13(3): e1005399. https://doi.org/10.1371/journal.pcbi.1005399