Epistemic (In)justice as A Process to Decoding Digital Information from Law Perspective
Anugrah Anditya
Faculty of Law Universitas Gadjah Mada
anugrah.anditya@ugm.ac.id
Abstract
In this digital era, information can be disseminated much easier due to the internet. Under openness principle of information on the internet, now we can access information relatively easily When those condition is viewed from Epistemic Justice theory as postulated by Miranda Fricker means we are going toward information justice since now almost every people can now contribute and access information, but the reality says not all those information on social media is the right information, some information can be categorized as mis-information some as dis-information. Based on those condition this research will then questioning relevancy between Epistemic Justice in this digital era with legal consequences in Information and Electronic Transactions Act. This is due to by implementing openness principle it means we can gain almost any information but also any person now can contribute to provide information for another internet user. With such conditions we must selective when choose who is our information provider since mis and dis information in law paradigm can have negative impact toward law subject, and can have legal consequences. Thats why we needs to rethink again, is from legal paradigm information justice is a good idea, or do we need to set back to epistemic injustice. The idea to use injustice practice is due to in law paradigm we must act carefully, and that’s why do we need to rethink again by being selective when we read digital information
Keywords
justice, injustice, digital information, philosophy, law
References
Barnett, B. C. (2022). Pengantar Filsafat Epistemologi (Taufiqurrahman, Trans.). Yogyakarta: Antinomi.
Birchall, C. (2011). Introduction to ‘Secrecy and Transparency’:The Politics of Opacity and Openness. Theory, Culture & Society, 28(7-8), 7-25. doi:10.1177/0263276411427744
Breur, T. (2009). Data quality is everyone's business -- Managing information quality -- Part 2. Journal of Direct, Data and Digital Marketing Practice, 11(2), 114-123. doi:https://doi.org/10.1057/dddmp.2009.21
Carter, J. A. (2023). Digital Knowledge A Philosophical Investigation [1 online resource (207 p.).]. Retrieved from https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=31024366
Diaz-Garcia, J. A., Ruiz, M. D., & Martin-Bautista, M. J. (2022). NOFACE: A new framework for irrelevant content filtering in social media according to credibility and expertise. Expert Systems with Applications, 208. doi:10.1016/j.eswa.2022.118063
Floridi, L. (2009). Philosophical Conceptions of Information. In Formal Theories of Information (pp. 13-53).
Fricker, M. (2009). Epistemic injustice : power and the ethics of knowing. Oxford: Oxford University Press.
Goldman, A. I. (1999). Knowledge in a social world. Oxford: Oxford University Press.
Harris, P. (2007). An introduction to law. Cambridge; New York: Cambridge University Press.
Hesse, B. W., Moser, R. P., & Riley, W. T. (2015). From Big Data to Knowledge in the Social Sciences. The ANNALS of the American Academy of Political and Social Science, 659(1), 16-32. doi:10.1177/0002716215570007
Ho, H. L. (2008). A philosophy of evidence law : justice in the search for truth. Oxford ; New York: Oxford University Press.
Hopster, J. K. G. (2024). Socially disruptive technologies and epistemic injustice. Ethics and Information Technology, 26(1). doi:10.1007/s10676-024-09747-9IEEE/Acis International Conference on Big Data, C. C. D. S., Engineering, & Lee, R. Y. (2023). Big data, cloud computing, and data science engineering [1 online resource (xii, 185 p.).]. doi:10.1007/978-3-031-19608-9
Informasi, K. K. d. (2024). Siaran Pers No. 02/HM/KOMINFO/01/2024 tentang Hingga Akhir Tahun 2023, Kominfo Tangani 12.547 Isu Hoaks [Press release]
Koltay, T. (2018). Information overload in a data-intensive world. In (pp. 197-217.).8
Lebensfeld, T. C., & Smalarz, L. (2024). Witnessing-condition information differentially affects evaluations of high- and moderate-confidence eyewitness identifications. Cognition, 250, 105841. doi:10.1016/j.cognition.2024.105841
Lee, B. K., & Lee, W. N. (2004). The effect of information overload on consumer choice quality in an on‐line environment. Psychology & Marketing, 21(3), 159-183. doi:10.1002/mar.20000
Meskys, E., Liaudanskas, A., Kalpokiene, J., & Jurcys, P. (2020). Regulating deep fakes: legal and ethical considerations. Journal of Intellectual Property Law & Practice, 15, 24-31. doi:10.1093/jiplp/jpz167
Revett, M. C., & Benyon, P. R. (1996). Information Access for Decision Makers. In P. G. Flavin & K. A. E. Totton (Eds.), Computer Aided Decision Support in Telecommunications (pp. 94-114). Dordrecht: Springer Netherlands.
Schlagwein, D., Conboy, K., Feller, J., Leimeister, J. M., & Morgan, L. (2017). “Openness” with and without Information Technology: a framework and a brief history. Journal of Information Technology, 32(4), 297-305. doi:10.1057/s41265-017-0049-3
Sommaruga, G. (2009). Formal theories of information : from Shannon to semantic information theory and general concepts of information. Berlin ; New York: Springer.
Sunstein, C. R. (2020). Too Much Information : Understanding What You Don't Want To Know. Cambridge, Massachusetts: The MIT Press.
Undang-Undang Republik Indonesia Nomor 8 Tahun 1981 tentang Hukum Acara Pidana, (1981).
van der Sloot, B., & Wagensveld, Y. (2022). Deepfakes: regulatory challenges for the synthetic society. Computer Law & Security Review, 46, 105716. doi:https://doi.org/10.1016/j.clsr.2022.105716
Xiong, H., & Wang, X. (2008). The Information Filtering under the Web 2.0 Environment. Paper presented at the 2008 International Conference on Information Management, Innovation Management and Industrial Engineering.
Zhou, D., Yan, Z., Fu, Y., & Yao, Z. (2018). A survey on network data collection. Journal of Network and Computer Applications, 116, 9-23. doi:https://doi.org/10.1016/j.jnca.2018.05.004
anugrah.anditya@ugm.ac.id
Abstract
Keywords
justice, injustice, digital information, philosophy, lawReferences
Barnett, B. C. (2022). Pengantar Filsafat Epistemologi (Taufiqurrahman, Trans.). Yogyakarta: Antinomi.
Birchall, C. (2011). Introduction to ‘Secrecy and Transparency’:The Politics of Opacity and Openness. Theory, Culture & Society, 28(7-8), 7-25. doi:10.1177/0263276411427744
Breur, T. (2009). Data quality is everyone's business -- Managing information quality -- Part 2. Journal of Direct, Data and Digital Marketing Practice, 11(2), 114-123. doi:https://doi.org/10.1057/dddmp.2009.21
Carter, J. A. (2023). Digital Knowledge A Philosophical Investigation [1 online resource (207 p.).]. Retrieved from https://public.ebookcentral.proquest.com/choice/PublicFullRecord.aspx?p=31024366
Diaz-Garcia, J. A., Ruiz, M. D., & Martin-Bautista, M. J. (2022). NOFACE: A new framework for irrelevant content filtering in social media according to credibility and expertise. Expert Systems with Applications, 208. doi:10.1016/j.eswa.2022.118063
Floridi, L. (2009). Philosophical Conceptions of Information. In Formal Theories of Information (pp. 13-53).
Fricker, M. (2009). Epistemic injustice : power and the ethics of knowing. Oxford: Oxford University Press.
Goldman, A. I. (1999). Knowledge in a social world. Oxford: Oxford University Press.
Harris, P. (2007). An introduction to law. Cambridge; New York: Cambridge University Press.
Hesse, B. W., Moser, R. P., & Riley, W. T. (2015). From Big Data to Knowledge in the Social Sciences. The ANNALS of the American Academy of Political and Social Science, 659(1), 16-32. doi:10.1177/0002716215570007
Ho, H. L. (2008). A philosophy of evidence law : justice in the search for truth. Oxford ; New York: Oxford University Press.
Hopster, J. K. G. (2024). Socially disruptive technologies and epistemic injustice. Ethics and Information Technology, 26(1). doi:10.1007/s10676-024-09747-9IEEE/Acis International Conference on Big Data, C. C. D. S., Engineering, & Lee, R. Y. (2023). Big data, cloud computing, and data science engineering [1 online resource (xii, 185 p.).]. doi:10.1007/978-3-031-19608-9
Informasi, K. K. d. (2024). Siaran Pers No. 02/HM/KOMINFO/01/2024 tentang Hingga Akhir Tahun 2023, Kominfo Tangani 12.547 Isu Hoaks [Press release]
Koltay, T. (2018). Information overload in a data-intensive world. In (pp. 197-217.).8
Lebensfeld, T. C., & Smalarz, L. (2024). Witnessing-condition information differentially affects evaluations of high- and moderate-confidence eyewitness identifications. Cognition, 250, 105841. doi:10.1016/j.cognition.2024.105841
Lee, B. K., & Lee, W. N. (2004). The effect of information overload on consumer choice quality in an on‐line environment. Psychology & Marketing, 21(3), 159-183. doi:10.1002/mar.20000
Meskys, E., Liaudanskas, A., Kalpokiene, J., & Jurcys, P. (2020). Regulating deep fakes: legal and ethical considerations. Journal of Intellectual Property Law & Practice, 15, 24-31. doi:10.1093/jiplp/jpz167
Revett, M. C., & Benyon, P. R. (1996). Information Access for Decision Makers. In P. G. Flavin & K. A. E. Totton (Eds.), Computer Aided Decision Support in Telecommunications (pp. 94-114). Dordrecht: Springer Netherlands.
Schlagwein, D., Conboy, K., Feller, J., Leimeister, J. M., & Morgan, L. (2017). “Openness” with and without Information Technology: a framework and a brief history. Journal of Information Technology, 32(4), 297-305. doi:10.1057/s41265-017-0049-3
Sommaruga, G. (2009). Formal theories of information : from Shannon to semantic information theory and general concepts of information. Berlin ; New York: Springer.
Sunstein, C. R. (2020). Too Much Information : Understanding What You Don't Want To Know. Cambridge, Massachusetts: The MIT Press.
Undang-Undang Republik Indonesia Nomor 8 Tahun 1981 tentang Hukum Acara Pidana, (1981).
van der Sloot, B., & Wagensveld, Y. (2022). Deepfakes: regulatory challenges for the synthetic society. Computer Law & Security Review, 46, 105716. doi:https://doi.org/10.1016/j.clsr.2022.105716
Xiong, H., & Wang, X. (2008). The Information Filtering under the Web 2.0 Environment. Paper presented at the 2008 International Conference on Information Management, Innovation Management and Industrial Engineering.
Zhou, D., Yan, Z., Fu, Y., & Yao, Z. (2018). A survey on network data collection. Journal of Network and Computer Applications, 116, 9-23. doi:https://doi.org/10.1016/j.jnca.2018.05.004
