INTERNATIONAL SHORT COURSE 2026
Automation and Communication: AI, Creativity, and Media Work
Department of Communication Science
Faculty of Social and Political Sciences
Universitas Diponegoro
Online via Zoom | July 2026
The Central Force of Automation: Reshaping Media Work, Public Trust, and Everyday Life
Automation is no longer a peripheral feature of communication. It has become a central force shaping how content is produced, circulated, amplified, moderated, and monetised. In the contemporary communication landscape, generative AI, recommendation systems, automated decision-making, and synthetic media increasingly influence what becomes visible, credible, and valuable. As a result, communication is being reorganised not only as a set of technologies but also as a field of labour, cultural meaning, algorithmic governance, and everyday life.
This transformation is especially significant for media work and cultural production. Generative AI is changing established ideas of authorship, originality, and authenticity, while platform logics continue to reward speed, visibility, and engagement. Creative workers, journalists, and content creators—including those navigating intimate media economies—are now required to adapt to an environment where automation can accelerate workflows but also intensify precarity, competition, opacity, and dependency on platform infrastructures. The expansion of automated communication raises urgent questions about human value, labour conditions, the management of digital identities, and the political economy of mediated work.
At the same time, automation is rapidly reshaping the public sphere and political communication. AI-assisted news production, algorithmic recommendation systems, and automated amplification influence how publics encounter information and how trust is negotiated. The intersection of new AI tools with persistent political logics complicates the circulation of cross-platform disinformation, while digital attention economies intensify urgency and hype in crisis and environmental communication. These developments make it crucial to examine public debates on AI, interrogating how narratives are framed, whose voices are amplified, and how automated systems impact fairness and legitimacy in decision-making.
Beyond the public arena, automated media ecosystems are fundamentally altering everyday practices, extending even into platformised family life. The pervasive datafication and surveillance inherent in these systems raise critical ethical and governance issues concerning digital wellbeing, privacy, and child data rights, highlighting how deeply automation is woven into the social fabric.
These interconnected challenges are particularly urgent in Southeast Asia and the broader Global South, where digital infrastructures are often adopted under unequal conditions of access, regulation, language, and cultural representation. Understanding AI and automation in communication therefore requires context-sensitive approaches that move beyond West-centred assumptions, foregrounding local realities, diverse cultural experiences, and the geopolitical contexts that shape AI legitimacy and adoption.
The 2026 International Short Course, “Automation and Communication: AI, Creativity, and Media Work,” is designed as a month-long academic forum to address these multifaceted issues. The programme combines conceptual framing, thematic sessions, and methodological insights—including the use of automated content analysis—to strengthen critical understanding of AI across media and communication. By bridging discussions on cultural labour, public trust, crisis amplification, and everyday platformisation, the event opens pathways for collaborative research, academic writing, and international scholarly exchange.
What You Will Learn to See: Automation, Labour, Trust, and Fairness
- Develop a critical understanding of how automation reshapes communication across production, distribution, moderation, and governance.
- Examine the implications of AI and algorithmic systems for creativity, cultural labour, journalism, trust, and platformed visibility.
- Analyse key issues related to misinformation, synthetic media, fairness, and legitimacy in automated communication environments.
- Generate research-informed reflections that connect Southeast Asian and Global South perspectives with contemporary debates on AI and media work.
The Syllabus: Navigating Automation Across Media, Labour, and Governance
1. Opening Session and Course Introduction
Course Description: This opening session introduces the short course’s key concepts, scope, and intellectual direction. It frames automation as an end-to-end transformation of communication, covering production, distribution, visibility, moderation, and monetisation. The session also introduces participants to the essay-based learning format and the broader rationale for studying AI, creativity, and media work together.
Expected Learning Outcome:
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- Understand the central concepts and thematic structure of the short course.
- Recognise how automation operates across different stages of communication processes.
2. Global AI Cultures: Automation, Creativity, and Media Work Beyond the West
Course Description: This session situates AI within global media cultures and highlights why discussions of automation must move beyond West-centred assumptions. It explores how AI is shaped by cultural contexts, infrastructures, and inequalities, and why Global South perspectives are essential for understanding AI adoption, legitimacy, and everyday use.
Expected Learning Outcome:
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- Explain why AI must be analysed through cultural and geopolitical contexts.
- Identify how Global South perspectives broaden debates on automation and communication.
3. Cultural Labour and AI: Creativity, Precarity, and the Future of Cultural Work
Course Description: This session examines how AI challenges established ideas of authorship, originality, and value in cultural production. It addresses how creative labour is reorganised under conditions of platform dependency, heightened competition, and changing definitions of human creativity.
Expected Learning Outcome:
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- Discuss how AI affects cultural labour, authorship, and creative legitimacy.
- Recognise emerging forms of precarity and opportunity in AI-driven creative work.
4. Automation, Authenticity, and Platform Labor in Intimate Media Economies
Course Description: This session explores how platformed communication reshapes authenticity, monetisation, and labour in intimate media economies. It considers how AI and platform systems complicate visibility, value, and the management of identity, consent, and mediated intimacy.
Expected Learning Outcome:
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- Analyse how platform systems and AI reshape authenticity and labour in digital content economies.
- Understand the relationship between automation, visibility, and value in intimate media contexts.
5. Automated Decision-Making: Trust, Fairness, and Legitimacy
Course Description: This session focuses on how people perceive automated decision-making in communication environments. It addresses trust, fairness, legitimacy, and public attitudes toward AI-driven systems, including recommendations, moderation, and other forms of algorithmic governance.
Expected Learning Outcome:
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- Evaluate the role of trust and fairness in public responses to automated systems.
- Assess the broader legitimacy challenges surrounding AI-based decision-making.
6. AI, Journalism, and Public Trust
Course Description: This session discusses how AI changes newsroom routines, editorial judgment, and the public credibility of journalism. It addresses automated content generation, recommendation systems, and the conditions under which audiences trust or question AI-supported journalism.
Expected Learning Outcome:
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- Explain how AI affects journalism, editorial authority, and public trust.
- Identify key tensions between speed, efficiency, and verification in AI-enabled news work.
7. Public Debate on Artificial Intelligence: Frames, Voices, and Automated Content Analysis
Course Description: This session examines how AI is debated in public communication and how those debates can be analysed. It pays particular attention to media frames, public voices, and the use of automated content analysis to understand the visibility of narratives surrounding AI.
Expected Learning Outcome:
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- Recognise dominant frames and actors in public debates about AI.
- Understand the opportunities and limits of automated content analysis in communication research.
8. Political Communication in the Age of AI: New Technologies, Persistent Logics, and Multi-Platform Disinformation
Course Description: This session explores the role of AI in political communication, with particular emphasis on continuity and change. It considers how newer tools intersect with established political communication strategies, including message targeting, amplification, and multi-platform disinformation.
Expected Learning Outcome:
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- Discuss how AI is used in political communication and cross-platform information campaigns.
- Analyse continuities between older political communication logics and newer AI tools.
9. Automated Amplification in Crisis and Environmental Communication
Course Description: This session investigates how platform dynamics, social media hype, and automated amplification shape crisis and environmental communication. It addresses how digital attention economies can intensify urgency, uncertainty, and policy narratives in moments of risk and public concern.
Expected Learning Outcome:
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- Understand how automated amplification influences crisis and environmental communication.
- Assess the communicative consequences of urgency, hype, and information escalation.
10. Children in Automated Media Ecosystems: Platformised Family Life, Digital Wellbeing Dashboards, and Child Data Rights
Course Description: This session focuses on children and families within automated media environments. It examines platformised everyday life, digital wellbeing tools, and the implications of datafication, surveillance, and governance for child rights and communication practices.
Expected Learning Outcome:
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- Explain how platform logics shape children’s media environments and family routines.
- Identify key ethical and governance issues related to children, data, and digital wellbeing.
Schedule Overview: Core Sessions, Essay Development, and Editorial Consultation
Speaker names are intentionally omitted at this stage. The schedule below is tentative and may be adjusted according to final confirmation and time-zone coordination.
| Session | Date | Time | Theme |
| 1 | Wednesday, 01 July 2026 | 15.00–16.30 WIB | Opening |
| 2 | Wednesday, 01 July 2026 | 15.00–16.30 WIB | Global AI Cultures: Automation, Creativity, and Media Work Beyond the West |
| 3 | Friday, 03 July 2026 | 15.00–16.30 WIB | Automated Decision-Making: Trust, Fairness, Legitimacy |
| 4 | Tuesday, 07 July 2026 | 15.00–16.30 WIB | Journalism, AI Credibility, and Public Trust |
| 5 | Thursday, 09 July 2026 | 15.00–16.30 WIB | Public Debate on AI: Frames, Voices, and Automated Content Analysis |
| 6 | Friday, 10 July 2026 | 15.00–16.30 WIB | Porn Studies, AI, and the Value of Authenticity |
| 7 | Tuesday, 14 July 2026 | 15.00–16.30 WIB | Cultural Labor and AI |
| 8 | Thursday, 16 July 2026 | 15.00–16.30 WIB | Political Communication in the AI Era |
| 9 | Tuesday, 21 July 2026 | 15.00–16.30 WIB | Automated Amplification in Crisis and Environmental Communication: Social Media Hype, Information Vacuums, and Policy Narratives |
| 10 | Thursday, 23 July 2026 | 15.00–16.30 WIB | Children in Automated Media Ecosystems: Platformised Family Life, Digital Wellbeing Dashboards, and Child Data Rights |
Note: The remaining weeks of July may be used for essay development, consultation, and editorial preparation, subject to the organising committee’s final arrangement.
Kontak
Jl. dr. Antonius Suroyo, Universitas Diponegoro, Kampus Tembalang, Kota Semarang, Jawa Tengah, Indonesia. Kode Pos 50275
Telp : 024-7465408
Email : admin.komunikasi[at]live.undip.ac.id
