Article Per Year (5 Year)
p-Index From 2021 - 2026
0.817
P-Index
This Author published in this journals
All Journal Asian Journal of Management, Entrepreneurship and Social Science Jurnal Pengabdian Masyarakat Indonesia Journal of Social Science Utilizing Technology
Prasojo Prasojo
Universitas Bhayangkara Jakarta Raya
Computer Science & IT Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Environmental Science Law, Crime, Criminology & Criminal Justice Social Sciences Other

Published : 4 Documents Claim Missing Document
Claim Missing Document
Check
Articles

Found 2 Documents
Search
Journal : journal of social science utilizing technology

 1 
The Echo Chamber Effect: Social Media Algorithms and the Polarization of Political Discourse Arisman Sabir; Siri Lek; Prasojo Prasojo
Journal of Social Science Utilizing Technology Vol. 4 No. 1 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i1.3573

Abstract

Background. The rapid expansion of social media has transformed political communication by introducing algorithmically curated information environments that shape users’ exposure to content. Concerns have emerged regarding the echo chamber effect, where individuals are predominantly exposed to ideologically aligned information, potentially intensifying political polarization and limiting deliberative discourse. Purpose. The present study aims to examine the extent to which social media algorithms contribute to the formation of echo chambers and to assess their influence on patterns of political engagement and perception. Method. A mixed-methods research design was employed, combining quantitative network analysis and survey data from 300 participants with qualitative interviews and computational analysis of platform interactions. Results. The findings indicate that algorithmic filtering significantly reinforces exposure to homogeneous content, leading to increased ideological clustering and higher levels of perceived polarization. Evidence further suggests that user attempts to diversify information sources are constrained by persistent algorithmic personalization. Conclusion. The study concludes that the echo chamber effect is a socio-technical phenomenon driven by the interaction between user behavior and algorithmic systems, with significant implications for democratic communication.
Beyond Fake News: The Rise of Deepfakes and the Crisis of Epistemic Trust in Digital Journalism Prasojo Prasojo; Ishara Ratnayake; Kumudu Wijerathna
Journal of Social Science Utilizing Technology Vol. 4 No. 2 (2026)
Publisher : Yayasan Adra Karima Hubbi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70177/jssut.v4i2.3933

Abstract

Background. The rapid advancement of artificial intelligence has transformed the digital information landscape, enabling the creation of highly realistic synthetic media known as deepfakes. Unlike conventional fake news, deepfakes possess the capacity to manipulate audiovisual evidence in ways that challenge public perceptions of authenticity and truth. The growing proliferation of deepfake content has raised significant concerns regarding the credibility of digital journalism, the reliability of information sources, and the erosion of epistemic trust within contemporary communication environments. Purpose. This study aims to examine how the rise of deepfakes contributes to the crisis of epistemic trust in digital journalism and to explore the broader implications of synthetic media for journalistic credibility and public knowledge. Method. A qualitative research design based on a critical literature review and thematic content analysis was employed. Data were collected from peer-reviewed journal articles, institutional reports, policy documents, and documented case studies published between 2018 and 2025. Results. Findings reveal that deepfakes undermine trust not only by disseminating deceptive content but also by fostering uncertainty regarding the authenticity of legitimate information. Authenticity ambiguity, verification challenges, audience skepticism, and institutional trust erosion emerged as the dominant themes across the analyzed literature. Conclusion. The study concludes that deepfakes represent a fundamental epistemic challenge that extends beyond misinformation. Preserving trust in digital information ecosystems requires integrated responses involving technological innovation, journalistic verification, media literacy, and governance frameworks.
Co-Authors Arisman Sabir Fata Nidaul Khasanah Ishara Ratnayake Kumudu Wijerathna Siri Lek Untari, Dhian Tyas