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)
Journal:
Revista Latina de Comunicación Social

ISSN: 1138-5820

Year of publication: 2016

Issue: 71

Pages: 1187-1207

Type: Article

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

More publications in: Revista Latina de Comunicación Social

Sustainable development goals

Abstract

Introduction: This article examines the knowledge, use, assessment and impact of the social networks Facebook and Twitter and bibliographic databases among the Teaching and Research Staff (TRS) of three Galician universities. Methods: The study is based on a survey conducted among a sample of 463 respondents selected from a universe of 5,498 professors and researchers. The survey has a margin of error of 5% and a confidence level of 95%. Results: 50.2% of the TRS considers that Facebook and Twitter are suitable for teaching and research while the remaining 49.8% thinks otherwise. Scopus and Google Scholar are the most known and used databases, with percentages above 80% and 60%, respectively, while EBSCO and EMBASE are the least known. Discussion and conclusions: There is significant knowledge and use of academic databases, but the opinions regarding the suitability of Facebook and Twitter for teaching and research activities are very divided.

Bibliographic References

  • 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.