Fake news; looking for a vaccinee
Keywords:
Collaborative spaces, Disinformation, Fake news, Post-truth, Social media, Literature review
Abstract
The dissemination of false information represents a severe threat to individuals, entities, and societies. In response, the study of "fake news" has been intensified, how they are produced, disseminated, and the measures to prevent or reduce its spread. Following the systematic review method, the present research tries to answer questions from different perspectives and under different conceptions: What is fake news? Is there a life cycle for fake news? How is the impact of fake news determined? Additionally, and due to our particular interest in designing safe spaces for online collaboration, we ask ourselves: Is there a relationship between disseminating fake news and the design of the collaborative space in which it is disseminated?
References
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Sharma, K., Qian, F., Jiang, H., Ruchansky, N., Zhang, M., & Liu, Y. (2019). Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Transactions on Intelligent Systems and Technology, 10, 1–42. https://doi.org/10.1145/3305260
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017). Fake News Detection on Social Media: A Data Mining Perspective. ACM SIGKDD Explorations Newsletter, 19(1), 22–36. https://doi.org/10.1145/3137597.3137600
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Torres, R., Gerhart, N., & Negahban, A. (2018). Epistemology in the Era of Fake News: An Exploration of Information Verification Behaviors among Social Networking Site Users. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 49(3), 78–97. https://doi.org/10.1145/3242734.3242740
Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019). Systematic Literature Review on the Spread of Health-related Misinformation on Social Media. Social Science & Medicine, 240, 112552. https://doi.org/10.1016/j.socscimed.2019.112552
Blanco Alfonso, I., García Galera, C., & Tejedor Calvo, S. (2019). The impact of fake news on social science research. Systematized bibliographical review. Historia y Comunicación Social, 24(2), 449–469. https://doi.org/10.5209/hics.66290
Dmytriw, A. A., Sorenson, T. J., Morris, J. M., Nicholson, P. J., Hilditch, C. A., Graffeo, C. S., & Brinjikji, W. (2019). #Fake news: a systematic review of mechanical thrombectomy results among neurointerventional stroke surgeons on Twitter. Journal of NeuroInterventional Surgery, 11(5), 460–463. https://doi.org/10.1136/neurintsurg-2018-014319
Egelhofer, J. L., & Lecheler, S. (2019). Fake news as a two-dimensional phenomenon: a framework and research agenda. Annals of the International Communication Association, 43(2), 97–116. https://doi.org/10.1080/23808985.2019.1602782
Ferreira, C. C., Robertson, J., & Kirsten, M. (2019). The truth (as I see it): philosophical considerations influencing a typology of fake news. Journal of Product & Brand Management, 29(2), 150–158. https://doi.org/10.1108/JPBM-12-2018-2149
Hooper, V. A. (2008). Fake news and social media: The role of the receiver. En N. Corcoran & V. Cunnane (Eds.), Proceedings of the 5th European Conference on Social Media, ECSM 2018 (pp. 62–68). Academic Conferences and Publishing International Limited.
Kitchenham, B., & Charters, S. (2007). Guidelines for performing Systematic Literature Reviews in Software Engineering. En Keele University and Durham University Joint Report.
LIFIA. (2020). Scolr. Support for Collaborative, Open, Literature Reviews. http://scolr.cientopolis.org
Manzoor, S. I., Singla, J., & Nikita. (2019). Fake News Detection Using Machine Learning approaches: A systematic Review. 2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI), 230–234. https://doi.org/10.1109/ICOEI.2019.8862770
Ozturk, P., Li, H., & Sakamoto, Y. (2015). Combating Rumor Spread on Social Media: The Effectiveness of Refutation and Warning. 2015 48th Hawaii International Conference on System Sciences, 2406–2414. https://doi.org/10.1109/HICSS.2015.288
Parra, P., & Oliveira, L. (2018). Fake news: A systematic review of the literature. Observatorio, 12, 54–78.
Saquete, E., Tomás, D., Moreda, P., Martínez-Barco, P., & Palomar, M. (2020). Fighting post-truth using natural language processing: A review and open challenges. En Expert Systems with Applications (Vol. 141, p. 112943). Elsevier Ltd. https://doi.org/10.1016/j.eswa.2019.112943
Sharma, K., Qian, F., Jiang, H., Ruchansky, N., Zhang, M., & Liu, Y. (2019). Combating Fake News: A Survey on Identification and Mitigation Techniques. ACM Transactions on Intelligent Systems and Technology, 10, 1–42. https://doi.org/10.1145/3305260
Shu, K., Sliva, A., Wang, S., Tang, J., & Liu, H. (2017). Fake News Detection on Social Media: A Data Mining Perspective. ACM SIGKDD Explorations Newsletter, 19(1), 22–36. https://doi.org/10.1145/3137597.3137600
Tomaz, R. M., & Tomaz, J. M. T. (2020). The Brazilian Presidential Election of 2018 and the relationship between technology and democracy in Latin America. Journal of Information, Communication and Ethics in Society, 18(4), 497–509. https://doi.org/10.1108/JICES-12-2019-0134
Torres, R., Gerhart, N., & Negahban, A. (2018). Epistemology in the Era of Fake News: An Exploration of Information Verification Behaviors among Social Networking Site Users. ACM SIGMIS Database: the DATABASE for Advances in Information Systems, 49(3), 78–97. https://doi.org/10.1145/3242734.3242740
Wang, Y., McKee, M., Torbica, A., & Stuckler, D. (2019). Systematic Literature Review on the Spread of Health-related Misinformation on Social Media. Social Science & Medicine, 240, 112552. https://doi.org/10.1016/j.socscimed.2019.112552
How to Cite
Caiza, E., Fernandez, A., & Torres, D. (2020). Fake news; looking for a vaccinee. Revista Colombiana De Computación, 21(2), 92–101. https://doi.org/10.29375/25392115.4037
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Published
2020-12-01
Section
Review article
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