Análisis de sentimiento en Instagrampolaridad y subjetividad de cuentas infantiles

Bibliographic References

• American Psychological Association (2007). Task force on the sexualization of girls. Recuperado de https://bit.ly/2RFp5B6
• American Psychological Association (2017). Ethical principles of psychologists and code of conduct. Recuperado de https://bit.ly/2iDuXKq
• Ao, S. (2018). Sentiment analysis based on financial tweets and market information. En 2018 International Conference on Audio, Language and Image Processing (pp. 321-326). Shanghai: ICALIP. https://doi.org/10.1109/ICALIP.2018.8455771
• Araque, O., Corcuera-Platas, I., Sánchez-Rada, F., y Iglesias, C.A. (2017). Enhancing deep learning sentiment analysis with ensemble techniques in social applications. Expert Systems with Applications, 77, 236-246. https://doi.org/10.1016/j.eswa.2017.02.002
• Asch, S.E. (1946). Forming impressions of personality. The Journal of Abnormal and Social Psychology, 41(3), 258-290. https://doi.org/10.1037/h0055756
• Ashok, M., Rajanna, S., y Joshi, P.V. (2016). A personalized recommender system using machine learning based sentiment analysis over social data. En 2016 IEEE Students' Conference on Electrical, Electronics and Computer Science (pp. 1-6). Bhopal, India: SCEECS. https://doi.org/10.1109/SCEECS.2016.7509354
• Berezan, O., Krishen, A.S., Agarwal, S., y Kachroo, P. (2017). The pursuit of virtual happiness: Exploring the social media experience across generations. Journal of Business Research, 89, 455-461. https://doi.org/10.1016/j.jbusres.2017.11.038
• Blum-Ross, A., y Livingstone, S. (2017). Sharenting, parent blogging, and the boundaries of the digital self. Popular Communication, 15(2), 110-125. https://doi.org/10.1080/15405702.2016.1223300
• Bosangit, C., y Demangeot, C. (2016). Exploring reflective learning during the extended consumption of life experiences. Journal of Business Reserach, 69(1), 208-215. https://doi.org/10.1016/j.jbusres.2015.07.033
• Bourdieu, P. (1990). Photography: A middlebrow art. Standford: Stanford University Press.
• Buijzen, M., y Valkenburg, P.M. (2005). Parental mediation of undesired advertising effects. Journal of Broadcasting & Electronic Media, 49, 153-165. https://doi.org/10.1207/s15506878jobem4902_1
• Buijzen, M., Schuurman, J., y Bomhof, E. (2008). Associations between children's television advertising exposure and their food consumption patterns: A household diary-survey study. Appetite, 50, 231-239. https://doi.org/10.1016/j.appet.2007.07.006
• Calvo-González, S., y San-Fabián-Maroto, J.L. (2018). Selfies, jóvenes y sexualidad en Instagram: Representaciones del yo en formato imagen. Pixel-Bit, 52, 167-181. https://doi.org/10.12795/pixelbit.2018.i52.12
• Casado-Riera, C., y Carbonell, X. (2018). La influencia de la personalidad en el uso de Instagram. Aloma, 36(2), 23-31. Recuperado de https://bit.ly/37dFP9b
• Chacón-López, H., Romero-Barriga, J.F., Aragón-Carretero, Y., y Caurcel-Cara, M.J. (2016). Construcción y validación de la escala de conductas sobre sexting (ECS). Revista Española de Orientación y Psicopedagogía, 27(2), 99-115. https://doi.org/10.5944/reop.vol.27.num.2.2016.17116
• Chae, J. (2018). Reexamining the relationship between social media and happiness: The effects of various social media platforms on reconceptualized happiness. Telematics and Informatics, 35(6), 1656-1664. https://doi.org/10.1016/j.tele.2018.04.011
• Choi, G.Y., y Lewallen, J. (2017). Say Instagram, kids!: Examining sharenting and children's digital representations on Instagram. Howard Journal of Communication, 29(2), 144-164. https://doi.org/10.1080/10646175.2017.1327380
• Dale, K.R., Raney, A.A., Ji, Q., Janicke-Bowles, S.H., Baldwin, J., Rowlett, J.T., … Oliver, M.B. (2019). Self-transcendent emotions and social media: Exploring the content and consumers of inspirational Facebook posts. New Media & Society, 1-21. https://doi.org/10.1177%2F1461444819865720
• De-Casas-Moreno, P., Tejedor-Calvo, S., y Romero-Rodríguez, L.M. (2018). Micronarrativas en Instagram: Análisis del storytelling autobiográfico y de la proyección de identidades de los universitarios del ámbito de la comunicación. Prisma Social, 20, 41-57. Recuperado de https://bit.ly/30EDEsT
• Díaz-Bustamante, M., y Llovet-Rodriguez, C. (2017). Empowerment or impoverishment of children from social networks? Perceptions of sexualized images of girls in Instagram. El Profesional de la Información, 26(1), 77-87. https://doi.org/10.3145/epi.2017.ene.08
• Diener, E. (2009). Happiness. En M.R., Leary y R.H. Hoyle (Eds.), Handbook of individual differences in social behavior (pp. 147-160). New York: Guilford. Recuperado de https://bit.ly/2sK57gh
• Diessner, R., Solom, R.C., Frost, N.K., Parsons, L., y Davidson, J. (2008). Engagement with beauty: Appreciating natural, artistic, and moral beauty. The Journal of Psychology, 142(3), 303-332. https://doi.org/10.3200/JRLP.142.3.303-332
• Diyana-Abdullah, N.S., y Asnira-Zolkepli, I. (2017). Sentiment analysis of online crowd input towards brand provocation in Facebook, Twitter, and Instagram. En Proceedings of the International Conference on Big Data and Internet of Thing (pp. 67-74). New York: BDIOT. https://doi.org/10.1145/3175684.3175689
• Domingo, M., Jewitt, C., y Kress, G. (2015). Multimodal social semiotics: Writing in online contexts. En J. Rowsell & K. Pahl (Eds.), The Routledge Handbook of Literacy Studies (pp. 251-266). London: Routledge. Recuperado de https://bit.ly/2sMlbOE
• Dresner, E., y Herring, S.C. (2010). Functions of the nonverbal in CMC: Emoticons and 833 illocutionary force. Communication Theory, 20(3), 249-268. https://doi.org/10.1111/j.1468-2885.2010.01362.x
• Freitas, D. (2017). The happiness effect: How social media is driving a generation to appear perfect at any cost. Oxford: Oxford University Press.
• Gómez-Espino, J.M., y Blanco-López, J. (2005). Los niños en la publicidad. Una propuesta de categorización de las representaciones sociales sobre la infancia en los anuncios televisivos. ZER Revista de Estudios de Comunicación, 10(19), 53-79. Recuperado de https://bit.ly/36iU2jM
• Gorton, K., y Garde-Hansen, J. (2013). Social media, happiness, and virtual communities. En Emotion online (pp. 103-125). London: Palgrave Macmillan. https://doi.org/10.1057/9781137312877_5
• Hadjipanayis, A., Efstathiou, E., Altorjai, P., Stiris, T., Valiulis, A., Koletzko, B., y Fonseca, H. (2019). Social media and children: What is the paediatrician's role? European Journal of Pediatrics, 178(10), 1605-1612. https://doi.org/10.1007/s00431-019-03458-w
• Hasan, A., Moin, S., Karim, A., y Shamshirband, S. (2018). Machine learning-based sentiment analysis for Twitter accounts. Mathematical and Computational Applications, 23(11), 1-15. https://doi.org/10.3390/mca23010011
• Ho, H., Shin, W., y Lwin, M.O. (2017). Social networking site use and materialistic values among youth: The safeguarding role of the parent-child relationship and self-regulation. Communication Research, 46(8), 1119-1144. https://doi.org/10.1177/0093650216683775
• Huffaker, D. (2010). Dimensions of leadership and social influence in online 853 communities. Human Communication Research, 36(4), 593-617. https://doi.org/10.1111/j.1468-2958.2010.01390.x
• Hummel-O'Donnell, N. (2018). Storied lives on Instagram: Factors associated with the need for personal-visual identity. Visual Communication Quarterly, 25(3), 131-142. https://doi.org/10.1080/15551393.2018.1490186
• Instagram (2020). About us. Recuperado de https://bit.ly/38n6mBa
• Izquierdo-Iranzo, P., y Gallardo-Echenique, E. (2020). Estudigramers: Influencers del aprendizaje. [Studygrammers: Learning influencers]. Comunicar, 62, 115-125. https://doi.org/10.3916/C62-2020-10
• Kim, Y., y Kim, J.H. (2018). Using computer vision techniques on Instagram to link users' personalities and genders to the features of their photos: An exploratory study. Information Processing and Management, 54, 1101-1114. https://doi.org/10.1016/j.ipm.2018.07.005
• Krippendorff, K. (1980). Metodología de análisis de contenido. Teoría y práctica. Barcelona: Paidós.
• Larrañaga, E., Navarro, R., y Yubero, S. (2018). Socio-cognitive and emotional factors on perpetration of cyberbullying. [Factores socio-cognitivos y emocionales en la agresión del ciberacoso]. Comunicar, 56, 19-28. https://doi.org/10.3916/C56-2018-02
• Lee, E., Lee, J.A., Moon, J.H., y Sung, Y. (2015). Pictures speak louder than words: Motivations for using Instagram. Cyberpsychology, Behavior and Social Networking, 18(9), 552-556. https://doi.org/10.1089/cyber.2015.015
• Le-Moignan, E., Lawson, S., Rowland, D.A., Mahoney, J., y Briggs, P. (2017). Has Instagram fundamentally altered the 'family snapshot'? Technology in Households, 6(11), 4935-4947. https://doi.org/10.1145/3025453.3025928
• Liu, B. (2015). Sentiment analysis: Mining opinions, sentiments, and emotions. Cambridge: Cambridge University Press.
• Livingstone, S., Mascheroni, G., Ólafsson, K., y Haddon, L. (2014). Children's online risks and opportunities: Comparative findings from EU Kids online and Net Children Go Mobile. London: EU Kids Online. Recuperado de https://bit.ly/37fJDXo
• Lup, K., Trub, L., y Rosenthal, L. (2015). Instagram #instasad?: Exploring associations among Instagram use, depressive symptoms, negative social comparison, and strangers followed. Cyberpsychology, Behavior and Social Networking, 18(5), 247-252. https://doi.org/10.1089/cyber.2014.0560
• Marinas, L. (2019). Instagram: Donde Millenialls, Generación Z, McLuhan y Bolter se cruzan. Cuadernos de Información y Comunicación, 24, 187-201. https://doi.org/10.5209/ciyc.64641
• Micu, A., Micu, A.E., Geru, M., y Lixandroiu, R.C. (2017). Analyzing user sentiment in social media: Implications for online marketing strategy. Psychology & Marketing, 34(12), 1094-1100. https://doi.org/10.1002/mar.21049
• Nathanson, A.I. (2004). Factual and evaluative approaches to modifying children's responses to violent television. Journal of Communication, 54, 321-336. https://doi.org/10.1111/j.1460-2466.2004.tb02631.x
• Pang, B., Lee, L., y Viathyanathan, S. (2002). Thumbs up?: Sentiment classification using machine learning techniques. En Proceedings of the ACL-02 conference on empirical methods in natural language processing (pp. 79-86). Stroudsburg: Association for Computational Linguistics.
• Peña-Cárdenas, F., Rojas-Solís, J.L., y García-Sánchez, P.V. (2018). Uso problemático de Internet, cyberbullying y ciber-violencia de pareja en jóvenes universitarios. Diversitas: Perspectivas en Psicología, 14(2), 205-219. https://doi.org/10.15332/s1794-9998
• Pérez-Sinusía, M., y Cassany, D. (2018). Escribir y compartir: Prácticas escritas e identidad de los adolescentes en Instagram. Aula de Encuentro, 20(2), 75-94. https://doi.org/10.17561/ae.v20i2.5
• Reinecke, L., y Trepte, S. (2014). Authenticity and well-being on social network sites: A two wave longitudinal study on the effects of online authenticity and the positivity bias in SNS communication. Computers in Human Behavior, 30(1), 95-102. https://doi.org/10.1016/j.chb.2013.07.030
• Rose, G. (2010). Doing family photography: The domestic, the public and the politics of sentiment. Surrey: Ashgate Publishing. https://doi.org/10.4324/9781315577890
• Scheinbaum, A. (2017). The dark side of social media: A consumer psychology perspective. New York: Routledge. https://doi.org/10.4324/9781315167718
• Thurlow, C., Lengel, L., y Tomic, A. (2004). Computer mediated communication: Social interaction and the Internet. London: Sage. https://doi.org/10.5860/choice.42-0992
• Veenhoven, R. (1991). Is happiness relative? Social Indicators Research, 24(1), 1-34. https://doi.org/10.1007/BF00292648
• Vizcaíno-Verdú, A., Contreras-Pulido, P., y Guzmán-Franco, M.D. (2019). Lectura y aprendizaje informal en YouTube: El booktuber. [Reading and informal learning trends on YouTube: The booktuber]. Comunicar, 59, 95-104. https://doi.org/10.3916/C59-2019-09
• Waterloo, S.F., Baumgartner, S.E., Peter, J., y Valkenburg, P.M. (2018). Norms of online expressions of emtoion: Comparing Facebook, Twitter, Instagram, and Whatsapp. New Media & Society, 20(5), 1813-1831. https://doi.org/10.1177%2F1461444817707349
• Wernholm, M., y Reneland-Forsman, L. (2019). Children's representation of self in social media communities. Learning, Culture and Social Interaction, 23, 1-15. https://doi.org/10.1016/j.lcsi.2019.100346
• Willoughby, M. (2018). A review of the risks associated with children and young people's social media use and the implications for social work practice. Journal of Social Work Practice, 33(2), 127-140. https://doi.org/10.1080/02650533.2018.1460587
• Zhan, M., Tu, R., y Yu, Q. (2018). Understanding readers: Conducting sentiment analysis of Instagram captions. En Proceedings Of 2018 The 2nd International Conference on Computer Science and Artificial Intelligence (pp. 33-40). Shenzhen, China: Association for Computing Machinery. https://doi.org/10.1145/3297156.3297270