Utilización y valoración de las redes sociales generalistas y buscadores bibliográficos en las universidades gallegas

  1. José Rúas-Araújo 1
  2. Francisco Campos-Freire 2
  3. Iván Puentes-Rivera 1
  1. 1 Facultad de Ciencias Sociales y Comunicación. Universidad de Vigo (España)
  2. 2 Facultad de Ciencias Sociales y Comunicación. Universidad de Santiago de Compostela (España)
Revista:
Revista Latina de Comunicación Social

ISSN: 1138-5820

Año de publicación: 2016

Número: 71

Páginas: 1187-1207

Tipo: Artículo

DOI: 10.4185/RLCS-2016-1141 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: Revista Latina de Comunicación Social

Resumen

Introducción: Se analiza el conocimiento, uso, valoración e impacto de las redes sociales Facebook y Twitter y los buscadores bibliográficos por parte del Personal Docente e Investigador (PDI) de las tres universidades gallegas. Metodología: Se realizó una encuesta sobre el universo de los 5.498 docentes e investigadores, obteniendo una muestra de 463 respuestas, con un margen de error inferior al 5% y un intervalo de confianza del 95%. Resultados: El 50,2% del PDI considera la idoneidad de Facebook y Twitter para la docencia y la investigación frente al 49,8% que no. Scopus y Google Scholar son los buscadores más conocidos, con porcentajes superiores al 80% y una utilización superior al 60%, y EBSCO y EMBASE los menos. Discusión y conclusiones: Existe un estimable conocimiento y utilización de buscadores y opiniones enfrentadas entre quienes consideran la idoneidad de Facebook y Twitter para la docencia y la investigación y quienes no, lo cual sugiere un debate.

Referencias bibliográficas

  • O Almousa, (2011): “Users classification and usage-pattern identification in academic social networks”. Applied Electrical Engineering and Computing Technologies (AEECT), 2011 IEEE Jordan Conference on. IEEE Conference Publications, pp. 1-6. DOI: 10.1109/AEECT.2011.6132525
  • S Álvarez-García, M Gértrudix-Barrio & M Rajas-Fernández (2014): “La construcción colaborativa de bancos de datos abiertos como instrumento de empoderamiento ciudadano”. Revista Latina de Comunicación Social, 69, pp. 661-683. DOI: 10.4185/RLCS-2014-1029. http://www.revistalatinacs.org/069/paper/1029_UR/32es.html
  • V Allee, (2009): “Value Creating Networks: Organizational Issues and Challenges”. The Learning Organization Special Issue on Social Networks and Social Networking, vol. 6, 6, pp. 427-442. http://citeseerx.ist.psu.edu/viewdoc/download?.
  • JE Barker, A Johnson, L Michaelson & B Stucky (2014): "Open Access & the Early-Career Researcher: How to use Open Access to increase your research impact". http://works.bepress.com/andrew_johnson/3/.
  • M Barak, A Watted & H Haick (2016): “Motivation to learn in massive open online courses: Examining aspects of language and social engagement”. Computers & Education, 94, pp. 49-60.http://www.sciencedirect.com/science/article/pii/S0360131515300828
  • K Bhagat & L Wu & C Chang (2011): “Development and Validation of the Perception of Students Towards Online Learning (POSTOL)”. Educational Technology & Society, vol. 19, 1, pp. 350-359.
  • D Boyd & N Ellison (2007): “Social Network Sites: Definition, History and Scholarship”. Journal of Computer-Mediated Communication, vol. 13, 1. http://onlinelibrary.wiley.com/doi/10.1111/j.1083-6101.2007.00393.x/epdf.
  • F Campos-Freire (2015): “Los sitios de redes sociales como paradigma del ecosistema digital”. En F Campos-Freire & J Rúas-Araujo. Las redes sociales digitales en el ecosistema mediático. Tenerife: Cuadernos Artesanos de Comunicación, 92, Sociedad Latina de Comunicación Social, SLCS. DOI: 10.4185/cac92FCF2015
  • T Carney (2010): “The Third Way: Using Web 2.0 Resources in University Teaching”. Valencia: 4Th International Technology, Education and Development Conference (INTED), pp. 1715-1723.
  • Comisión Europea (2016): “Antitrust: la Comisión envía un pliego de cargos a Google sobre el sistema operativo y las aplicaciones de Android”. Bruselas, 20 de abril. http://europa.eu/rapid/press-release_IP-16-1492_es.htm.
  • F Charvolin, A Micoud & L Nyhart, Lynn K. dir. (2007): Des sciencies citoyennes? París: La Tour d´Aigues, Éditions de l´Aube.
  • C Christensen, M Raynor & R McDonald (2015): “What Is Disruptive Innovation?”. Harvard Business Review. https://hbr.org/2015/12/what-is-disruptive-innovation.
  • Crane, Diane (1972). Invisible Colleges: Diffusion of Knowledge in Scientific Communities. Chicago: University of Chicago Press.
  • Cheng-Jye Luh Sheng-An Yang Ting-Li Dean Huang (2016): "Estimating Google’s search engine ranking function from a search engine optimization perspective", Online Information Review, vol. 40, 2, pp. 239 – 255. http://dx.doi.org/10.1108/OIR-04-2015-0112
  • A Dafonte-Gómez, MI Míguez-González & I Puentes-Rivera (2015): “Academic Social Networks: Presence and activity in Academia.edu and ResearchGate of communication researchers of the Galician universities”. En: A Rocha, G Dias, A Martins,
  • LP Reis & M Pérez-Cota (2015). 10th Iberian Conference on Information Systems and Technologies (CISTI), Univ. Aveiro (Portugal). DOI: 10.1109/CISTI.2015.7170535. http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7170535.
  • A Dumitrache; M Gheorghe & O Moldovan (2014): “Adapting traditional teaching techniques using new technologies”.
  • Bucarest: The International Scientific Conference eLearning and Software for Education 3: 138-141.
  • JM De Pablos-Coello, C Mateos-Martín & M Túñez-López (2013): “Google cambia el paradigma de la métrica científica”. Historia y Comunicación Social, vol. 18, pp. 225-235. http://dx.doi.org/10.5209/rev_HICS.2013.v18.44327 .
  • G Eysenbach (2011): “Can Tweets Predict Citations? Metrics of Social Impact Based on Twitter and Correlation with Tradicional Metrics Scientific Impact”. Journal Internet Research, 13, 4. DOI: 10.2196/jmir.2012
  • V Fernández-Marcial & L González-Solar (2015): “Promoción de la investigación e identidad digital: el caso de la Universidade da Coruña”. El Profesional de la Información, v. 24, 5, pp. 656-664. http://dx.doi.org/10.3145/epi.2015.sep.14
  • P Flichy (2010): Le sacre de l´amateur. Sociologie des passions ordinaires à l´ère numérique. París: Seuil.
  • M L García Guardia y P Núñez (2010): “Nativos digitales y nuevas tecnologías: implantación en la universidad”. ETD-Educação Temática Digital.https://www.researchgate.net/publication/50993679_Nativos_digitales_y_nuevas_tecnologias_implantacion_en _la_universidad.
  • A Gasparyan, NA Akazhanov & A Voronov (2014): “Systematic and Open Identification of Resarchers and Authors: Focus on Open Researcher Contributor ID”. Journal of Korean Medical Science, vol. 29, 11, pp. 1453-1456.
  • M Georgescu & D Popescul (2014): “Social Media Literacy in Romanian Universities –are we ready yet?”. En Stefan, D; Comes, C.A.; Munteanu, A; e alt. Emergin Markets Queries in Finance and Business, Procedia Economics and Finance, vol. 15, pp. 437-444.
  • C González-Díaz, M Iglesias-García & L Codina (2015): “Presencia de las universidades españolas en las redes sociales digitales científicas: caso de los estudios de comunicación”. El Profesional de la Información, v. 24, n. 5, pp. 640-647. http://dx.doi.org/10.3145/epi.2015.sep.12
  • L Gourlay (2015): “Posthuman texts: nonhuman actors, mediators and the digital university”. Social Semiotics, vol. 25, n. 4, pp. 484-500. DOI:10.1080/10350330.2015.105957
  • LL Haak, M Fenner & L Paglione (2012): “ORCID: a system to uniquely identify researchers”. Learned Publishing, vol. 25, 4, pp. 259-264.
  • Haustein, Stefanie; Peters, Isabella; Bar-Ilan, Judit; Priem, Jason; Shema, Hadas; Terliesner, Jens (2014). “Coverage and adoption of altmetrics sources in the bibliometric community”. Scientometrics, vol 101, n. 2, pp.1145-1163.http://arxiv.org/abs/1304.7300.
  • CP Hoffman, C Lutz & M Meckel (2015): “A reltional almetric? Network centrality on ResearchGate as an indicator of scientific impact”. Journal of The Association for Information Science and Technology. DOI: 10.1002/asi.23423.
  • HR Jamali & M Nabavi (2015): “Open Access and sources of full-text articles in Google Scholar in different subject fields”. Scientometrics, 105, 3, pp. 1635-1651. DOI:10.​1007/​s11192-015-1642-2.
  • Jenkins, Henry; Deuze, Mark (2008). “Convergence Culture”. En Convergence: The International Journal of Research into New Media Technologies. Sage Publications, vol 14 (1), pp. 5-12.
  • Johnson, Thomas J.; Kaye, Barbara K. (2015). “Reasons to believe: Influence of credibility on motivations for using social networks”. En Computers in Human Behavior, vol. 50, pp. 544-555. DOI: 10.1016/j.chb.2015.04.002.
  • H Khedmatgozar & M Alipour-Hafezi (2015): “A basic comparative framework for evaluation of digital identifier systems”. Journal of Digital Information Management, vol 13, 3.
  • JH Kietzmann, K Hermkens & IP McCarthy (2011): “Social media? Get serious! Understanding the functional building blocks of social media”. Business Horizons, vol. 54, 3, pp. 241-251.
  • Y Kim, S Jeon, Y Ji et al. (2015): “Smartphone Response System Using Twitter to Enable Effective Interaction and Improve engagement in Large Classrooms”. IEEE Transactions on Education, vol. 58, 2, pp. 98-103.
  • M Kosemir & D Meissner (2013): “Conceptualizing the Innovation Process – Trends and Oulook”. SSRN Electronic Journal. DOI: 10.2139/SSRN.2249782. https://www.researchgate.net/publication/236159586.
  • P Kothandaraman & DT Wilson (2001): “The Future of Competition: Value-Creating Networks”. Industrial Marketing Managament, vol. 30, 4, pp. 379-389.
  • J Kubatova (2012): “Preparing University Students for Hybrid Age – Suggestions for New Media Literacy Development”. En LG Chova, AL Martínez & IC Torres (2012): Madrid: 5Th International Conference of Education, Research and Innovation (ICERI), pp. 4866-4872.
  • J Lim & JC Richardson (2016): “Exploring the effects of students´ social networking experience on social presence and perceptions of using SNSs for educational purposes”. Internet and Higher Education, vol. 29, 1, pp. 31-39. DOI: 10.1016/j.iheduc.2015.12.001 .
  • S Manca & M Ranieri (2016): “Facebook and the others. Potencials and obstrables of Social Media for teaching in higher education”. Computers and Education, vol. 95, 1, pp. 216-230. DOI: 10.1016/j.compedu.2016.01.012.
  • V Marín-Díaz, AI Vázquez-Martínez, KJ McMullin (2014): “First Steps Towards a University Social Network on Personal Learning Environments”. International Review of Research in Open and Distance, vol. 15, 3, pp. 93-119.
  • NA Mazov & VN Gureev (2014): “The role of unique identifiers in bibliographic information systems”. Scientific and Technical Information Processing, vol 41,3, pp. 206-210. DOI: 10.3203/S0147688214030101.
  • S Mikki, M Zygmuntowska, OL Gjesdal et al. (2015): “Digital Presence of Norwegian Scholars on Academic Network Sites-Whers and Who Are They?” Plos One, vol. 10, 11, pp. 1-17. DOI:10.1371/journal.pone.0142709
  • D Nicholas, E Herman, H Jamali, B Rodríguez-Bravo, Ch Boukacem-Zeghmouri, T Dobrowolski & S Pouchot (2015): “New ways of building, showcasing, and measuring scholarly reputation”. Learned Publishing, vol. 28, n. 4. http://dx.doi.org/10.1087/20150415.
  • BA Nosek (2012): “An Open, Large-Scale, Collaborative Effort to Estimate the Reproducibility of Psychological Science”. Psychological Science, vol. 7, n. 6, pp. 657-660. DOI: 10.1177/1745691612462588.
  • JL Ortega (2015): “Relationship between altmetric and bibliometric indicators across academic social sites: The case of CSIC’s members”. Journal of Informetrics, 9 (1), pp. 39–49. DOI:10.1016/j.joi.2014.11.004.
  • J Peppard & A Rylander (2006): “From Value Chain to Value Network: Insights for Mobile Operators”. European Management Journal, vol. 24, 2-3, pp. 128-141.
  • N Roulin & A Bangerter (2013): “Social Networking Websistes in Personnel Selection a Signalling Perspective on Recruiters´ and Applicants´Perceptions”. Journal of Personnel Psychology, vol. 12, 3, pp. 143-151.
  • J Sergio, L Navarro & J Bernal (2014): “Youtube & Facebook as Educational Tools in The Teaching-Learning Process.
  • Experience in Higher Education”. En LG Chova, AL Martínez & IC Torres (2012): Sevilla: 7Th International Conference of Education, Research and Innovation (ICERI), pp. 940-949.
  • H Shema, J Bar-Ilan & M Thelwall (2012): “Research blogs and the discussion of scholarly information”. PLoS One, v. 7, n. 5. http://dx.doi.org/10.1371/journal.pone.0035869 .
  • JE Stigliz & BC Greenwald (2016): La creación de una sociedad del aprendizaje. Barcelona: Planeta.
  • M Swijghuisen-Reigersberg (2015): “Problematizing Digital Research Evaluation using DOIs in Practice-Based Arts, Humanities and Social Science Research”. F1000Research 2015, 4:193. DOI: 10.12688/f1000research.6506.1
  • S Tanksalvala (2016): “As Open Access continues to grow in popularity, what is the impact?”. Thomson Reuters. http://stateofinnovation.thomsonreuters.com/weighing-the-cost-and-value-of-open-access.
  • J Thomas, B Chen & G Clement (2015): “ORCID Identifiers: Planned and Potential Uses by Associations, Publishers, and Librarians”. The Serials Libraian: From the Printed Page to the Digital Age, vol. 68, 1-4, pp. 332-341. DOI: 10.1080/0361526X.2015.1017713
  • C Thornley, A Watkinson, D Nicholas, R Volentine, HR Hamid, E Herman, S Allard, LJ Levine & C Carol (2015): “The role of trust and authority in the citation behaviour of researchers”. Information Research-An International Electronic Journal, vol. 20, 3.
  • M Topaloglu, E Caldibi & G Oge (2016): “The scale for the individual and social impact of students´ social networtk use: The validity and reliability studies”. Computers in Human Behavior, vol. 61, 350-356. DOI: 10.1016/j.chb.2016.03.036.
  • M Viassone (2014): “Comunication for Educational Purposes Throughout Social Networks Sites”. En D Vrontis, Y Weber & E Tsoukatos. 7th Annual EuroMed Conference of the EuroMed-Academy of Busness, Kristiansand, Noruega.
  • MC Yu, Y Wu, W Alhalabi, H Kao & WH Wu (2016): “ResearchGate: An effective altmetric indicator for active researchers?” Computers in Human Behavior, vol. 55, pp. 1001-1006. DOI: 10.1016/j.chb.2015.11.007.
  • H Zhang, W Wu & L Zhao (2016). “A study of knowledge supernetworks and network robustness in different business incubators”. Physica A: Statistical Mechanics and its Applications, v. 447, pp. 545-560. DOI: 10.1016/j.physa.2015.12.051.
  • M Zhitomirsky-Geffet & Y Bratspiess (2015): “Perceived Effectiveness of Social Networks for Job Search”. Libri, vol. 65, 2, pp. 105-118.