Influencers and Influence: the dissemination of information in times of fake news and post-truth

Authors

  • Ana Carolina Carius
  • Maxwel Pinto Vieira

DOI:

https://doi.org/10.55905/oelv22n2-140

Keywords:

social networks, estimated actual range, dissemination of information, information propagation

Abstract

The end of 2023 was marked, on Brazilian social networks, by a tragedy: the death of a 22-year-old young woman, influenced by a relatively new phenomenon in the social spectrum, the so-called fake news. Given the repercussion of the fact, this work has as its object of study the phenomenon of information dissemination on social networks, under the scope of social network X (formerly Twitter). Based on an information diffusion model, this research has, as a general objective, to evaluate the dissemination of information on social network. Specific objectives include investigating the relevance of the information dissemination model to the issue of disseminating fake news; test the information diffusion model with experimental data obtained from the social network X and validate the results obtained in numerical simulations arising from the information diffusion model. It is concluded, therefore, that the lower the estimated real reach of a post, the longer the information dissemination process will take, which would justify the introduction of joint work between different profiles in partnership with bots to increase the engagement of a post.

References

BRASIL. Lei no 13709, de 14 de agosto de 2018. BrasilDiário Oficial da União - Seção 1 - Edição Extra - 15/8/2018, Página 1, , 14 ago. 2018.

CRESWELL, J. W.; CRESWELL, J. D. Projeto de Pesquisa: métodos qualitativo, quantitativo e misto. 5. ed. Porto Alegre: Penso, 2021.

DA EMPOLI, G. Os Engenheiros do Caos. 1. ed. São Paulo: Vestígio, 2022.

FERNANDES TEIXEIRA, G.; CARIUS, A. C. Fake News and Post-truth: Numerical Simulations of Information Diffusion in Social Networks. American Academic Scientific Research Journal for Engineering, v. 90, p. 175–184, 2022.

FORNASIER, M. D. O.; BECK, C. CAMBRIDGE ANALYTICA: ESCÂNDALO, LEGADO E POSSÍVEIS FUTUROS PARA A DEMOCRACIA. Revista Direito em Debate, v. 29, n. 53, p. 182–195, 26 maio 2020.

GIL, A. CARLOS. Métodos e técnicas de pesquisa social. 6. ed. São Paulo: Atlas, 2008.

KATZ, E.; LAZARSFELD, P. F. Personal Influence: the part played by peoplein the flow of mass communication. 2. ed. New York: Transaction Publishers, 2006.

LEMOS, A.; LÉVY, P. O futuro da internet: Em direção a uma ciberdemocracia planetária. 1. ed. São Paulo: Paulus, 2010.

ROGERS, E. Diffusion of Innovations. 4. ed. New York: Free Press, 1995.

SULEYMAN, M.; BHASKAR, M. The Coming Wave: Technology, Power, and the Twenty-first Century’s Greatest Dilemma. 1. ed. New York: Crown, 2023. v. 1

WANG, F.; WANG, H.; XU, K. Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks. 1 ago. 2011a.

WANG, F.; WANG, H.; XU, K. Diffusive Logistic Model Towards Predicting Information Diffusion in Online Social Networks. 1 ago. 2011b.

WANG, H.; WANG, F.; XU, K. Modeling Information Diffusion in Online Social Networks with Partial Differential Equations. 1. ed. Cham: Springer Nature Switzerland, 2020.

WELLMAN, B. Physical Place and Cyberplace: The Rise of Personalized Networking*. International Journal of Urban and Regional Research, v. 25, n. 2, p. 227–252, 2001.

XU, K. et al. Mitigating the Impact of Data Sampling on Social Media Analysis and Mining. IEEE Transactions on Computational Social Systems, v. 7, n. 2, p. 546–555, 1 abr. 2020.

Published

2024-02-19

How to Cite

Carius, A. C., & Vieira, M. P. (2024). Influencers and Influence: the dissemination of information in times of fake news and post-truth. OBSERVATÓRIO DE LA ECONOMÍA LATINOAMERICANA, 22(2), e3304. https://doi.org/10.55905/oelv22n2-140

Issue

Section

Articles