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All Journal Open Access Indonesia Journal of Social Sciences Open Access Indonesia Journal of Social Sciences Enigma in Cultural
Ervin Munandar
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Religion Arts Humanities Economics, Econometrics & Finance Education Environmental Science Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Social Sciences

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The Algorithmic Gaze: Deconstructing Authorship and Aesthetics in Generative Artificial Intelligence (AI) Art Hesti Putri; Dais Susilo; Ervin Munandar; Hanifah Yasin; Idris Atmaja
Enigma in Cultural Vol. 3 No. 1 (2025): Enigma in Cultural
Publisher : Enigma Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.61996/cultural.v3i1.106

Abstract

The proliferation of advanced text-to-image generative AI represents a paradigmatic shift in visual culture. It instigates a profound crisis for established concepts of authorship and aesthetics while also raising critical questions about artistic labor and the political economy of cultural production. This study investigates the complex negotiations between human creators and algorithmic systems. This study employed a qualitative, multi-modal methodology. A visual semiotic analysis was conducted on a curated corpus of 300 artworks from Midjourney, DALL-E 3, and Stable Diffusion, sampled to mitigate platform-specific biases. This was triangulated with a thematic analysis of semi-structured interviews with a purposive sample of 15 artists and designers actively using these tools. The methodological limitations, specifically the sample's "adopter-centric" bias, are explicitly acknowledged. The visual analysis identified a distinct "algorithmic gaze" characterized by hyper-compositing, surreal corporeal logic, and stylistic convergence, reflecting both the system's non-human perspective and the biases of its training data. The thematic analysis of artist interviews revealed three dominant experiential themes: the artist's role being reframed as curatorial, the creative process as a form of dialogue, and the interaction as an exploration of the system's "latent space". These participant narratives often frame the interaction in terms of empowerment and collaboration. In conclusion, generative AI reconfigures authorship into a distributed network phenomenon. However, this study argues that this posthuman collaboration occurs within a system structured by significant power asymmetries. The aesthetics of the algorithmic gaze are not neutral but are shaped by the commercial and ideological imperatives of the platforms. The artist's experience of empowerment coexists with broader material processes of deskilling, alienation, and the centralization of cultural production. Understanding this new paradigm requires a critical synthesis of posthumanist theory and political economy.
Reconfiguring Rivalry: Ideological Sorting, Digital Media, and the New Landscape of Affective Polarization in the Post-2024 Presidential Election in Indonesia Ervin Munandar; Yuniarti Maretha Pasaribu; Firzan Dahlan; Aaliyah El-Hussaini
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 4 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i4.294

Abstract

The 2024 Indonesian presidential election marked a tectonic shift in its political landscape, dissolving the decade-long 'Cebong versus Kampret' rivalry. This study investigates whether this realignment led to depolarization or a reconfiguration of partisan animosity. It examines the structure and predictors of affective polarization in the immediate post-election environment. A cross-sectional survey was conducted from May to July 2024, involving 1,500 respondents across 15 provinces, selected via a multi-stage random sampling method with probability proportional to size. Affective polarization was measured using a feeling thermometer scale. Key predictors—including ideological self-placement, social media consumption for political news, and intergroup contact—were analyzed using hierarchical multiple regression. To test for non-linear ideological effects, both linear and quadratic terms for ideology were included in the model. The analysis reveals that affective polarization remains a potent force. The regression model showed a strong fit (R2= 0.47). While a linear measure of ideology was not a significant predictor, its quadratic term was a powerful and positive predictor (b = 0.42, p<0.001), indicating a U-shaped relationship where individuals at both ideological poles exhibit significantly higher polarization than those in the center. High consumption of partisan social media was also strongly associated with increased polarization (b = 0.35, p<0.001), while quality intergroup contact was linked to lower levels (b = -0.21, p<0.001). In conclusion, the post-2024 political era in Indonesia is characterized by a reconfiguration, not a dissipation, of affective polarization. The cleavage is no longer primarily personality-driven but is increasingly structured by ideological sorting, amplified by digital media ecosystems. These findings highlight the need for initiatives promoting cross-cutting dialogue and digital literacy to safeguard democratic health.
Reconfiguring Rivalry: Ideological Sorting, Digital Media, and the New Landscape of Affective Polarization in the Post-2024 Presidential Election in Indonesia Ervin Munandar; Yuniarti Maretha Pasaribu; Firzan Dahlan; Aaliyah El-Hussaini
Open Access Indonesia Journal of Social Sciences Vol. 8 No. 4 (2025): Open Access Indonesia Journal of Social Sciences
Publisher : HM Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37275/oaijss.v8i4.294

Abstract

The 2024 Indonesian presidential election marked a tectonic shift in its political landscape, dissolving the decade-long 'Cebong versus Kampret' rivalry. This study investigates whether this realignment led to depolarization or a reconfiguration of partisan animosity. It examines the structure and predictors of affective polarization in the immediate post-election environment. A cross-sectional survey was conducted from May to July 2024, involving 1,500 respondents across 15 provinces, selected via a multi-stage random sampling method with probability proportional to size. Affective polarization was measured using a feeling thermometer scale. Key predictors—including ideological self-placement, social media consumption for political news, and intergroup contact—were analyzed using hierarchical multiple regression. To test for non-linear ideological effects, both linear and quadratic terms for ideology were included in the model. The analysis reveals that affective polarization remains a potent force. The regression model showed a strong fit (R2= 0.47). While a linear measure of ideology was not a significant predictor, its quadratic term was a powerful and positive predictor (b = 0.42, p<0.001), indicating a U-shaped relationship where individuals at both ideological poles exhibit significantly higher polarization than those in the center. High consumption of partisan social media was also strongly associated with increased polarization (b = 0.35, p<0.001), while quality intergroup contact was linked to lower levels (b = -0.21, p<0.001). In conclusion, the post-2024 political era in Indonesia is characterized by a reconfiguration, not a dissipation, of affective polarization. The cleavage is no longer primarily personality-driven but is increasingly structured by ideological sorting, amplified by digital media ecosystems. These findings highlight the need for initiatives promoting cross-cutting dialogue and digital literacy to safeguard democratic health.
Co-Authors Aaliyah El-Hussaini Dais Susilo Firzan Dahlan Hanifah Yasin Hesti Putri Idris Atmaja Yuniarti Maretha Pasaribu