📡 Communication & Media

Habermas theorized the public sphere as a space where rational discourse produces democratic legitimacy. Deepfakes, algorithmic curation, and synthetic media now undermine the very conditions that make such discourse possible. Five papers examine whether the Habermasian framework can be adapted to the algorithmic age—or whether it has reached its conceptual limits.

Media literacy is the most commonly proposed defense against misinformation. But a systematic review of intervention studies reveals that many programs do not achieve their intended effects—and that the populations most vulnerable to misinformation are often least served by existing interventions.

Algorithms do not merely distribute content—they constitute audiences, shape identities, and concentrate discursive power in platform corporations. Five papers examine how algorithmic curation creates power asymmetries that traditional media governance frameworks were not designed to address.

Social media algorithms were designed to maximize engagement. State and non-state actors have learned to exploit them as instruments of information warfare—amplifying divisive content, manufacturing consensus, and shaping political discourse through the very systems designed to personalize your feed.

Bangladesh's July 2024 student revolution was organized, narrated, and amplified through social media—even as the government shut down the internet. Five papers examine how digital platforms enabled collective action under repressive conditions, and what the case reveals about algorithmic curation, citizen journalism, and the future of digitally mediated revolution.

TikTok's algorithm doesn't just show Gen Z content they like—it shapes how they express emotion, perform vulnerability, and construct intimate connections. Emerging research reveals that 'algorithmic intimacy' is a new form of platform-mediated affect that blurs the line between authentic feeling and performed engagement.

Health misinformation on social media has moved beyond COVID-19 to threaten decades of progress in polio eradication, routine childhood vaccination, and public trust in health systems. Five papers across Pakistan, Ethiopia, Romania, and Brazil reveal that the infodemic is structural, not episodic.

A growing proportion of citizens are deliberately avoiding news—not because they lack access or interest, but because they feel overwhelmed, anxious, or helpless. News avoidance has implications for democracy that go beyond media economics: an uninformed citizenry cannot hold power accountable.

Influencer marketing blurs the line between personal recommendation and paid advertisement. Regulators worldwide require disclosure, but research shows that disclosure changes engagement patterns—raising the question of whether transparency helps consumers or just warns them.

Social media has compressed crisis response timelines from days to minutes and turned every stakeholder into a broadcaster. Four papers examine how organizations can navigate the speed, scale, and scrutiny of digitally mediated crises—where a single tweet can trigger a reputational catastrophe.

Digital political advertising enables campaigns to deliver different messages to different voters based on psychological profiling, demographic data, and behavioral prediction. Five papers examine whether micro-targeting strengthens democratic engagement or fragments the shared public discourse that democracy requires.

Streaming platforms have shattered the mass audience that broadcast television created. When every viewer watches different content on different platforms at different times, the shared cultural references that bound societies together may be dissolving. Four papers examine what audience fragmentation means for media, culture, and democracy.

Data journalism has transformed investigative reporting from interviewing sources to interrogating datasets. But the tools that empower journalists—programming, data analysis, visualization—also create new vulnerabilities: digital surveillance, source protection failures, and epistemological assumptions embedded in code.

VR journalism places the audience inside the story—standing in a refugee camp, witnessing a coral reef dying, walking through a war zone. The 'empathy machine' thesis claims this transforms passive viewers into engaged citizens. But adoption remains slow, and the evidence for lasting attitudinal change is thin.

Content creation looks like freedom—set your own hours, choose your own topics, be your own boss. But five papers reveal that the creator economy is governed by algorithmic management more pervasive than any traditional employer, where visibility is the currency, precarity is the norm, and the platform captures the surplus.

Who appears in media—and how they are portrayed—shapes public perception of entire communities. Four papers examine how newsroom diversity, advertising representation, disability narratives, and intersectional gender analysis reveal persistent gaps between the diversity media promises and the stereotypes it reproduces.

Over 80 state actors have conducted information operations in the past decade, deploying automated accounts to manipulate public opinion across social media platforms. Four papers examine how computational propaganda works, whether bots are effective, and why detection remains a cat-and-mouse game.

Generative AI has made synthetic media creation trivially easy, outpacing detection technologies and traditional media literacy frameworks. Four papers reveal that specific literacy interventions can improve discernment, but the structural asymmetry between creation and detection remains the central challenge.

The influencer marketing industry exceeds $30 billion globally, yet the mechanisms through which influencers build trust—and the conditions under which that trust translates to purchasing behavior—remain contested. Four papers reveal that authenticity is the central mediating variable, even as virtual influencers begin challenging what authenticity means.

Podcasting has grown from a niche format into a dominant media channel, with over 500 million listeners globally. Four papers theorize this 'listening renaissance' as a medium-specific phenomenon, examining how audio's intimate qualities create unique parasocial bonds, journalistic possibilities, and epistemic risks.

Social media has compressed crisis response timelines from days to minutes, while simultaneously amplifying stakeholder voices and creating misinformation risks. Four papers examine how visual strategies, employee advocacy, cultural context, and AI-powered monitoring reshape corporate crisis communication.

Algorithmic recommendation systems now mediate the majority of news consumption globally, raising urgent questions about information diversity and democratic deliberation. Four papers reveal that filter bubbles are real but more nuanced than the popular narrative suggests—and that design interventions can mitigate them.

Virtual reality promises to transform journalism by placing audiences inside the story rather than in front of it. Four papers examine the adoption gap between VR's journalistic potential and its current implementation, revealing cost barriers, ethical dilemmas, and the persistent question of whether immersion enhances or distorts understanding.

Social media has transformed health communication from one-directional broadcasting to interactive engagement, but effectiveness measurement remains challenging. Four papers demonstrate that theory-driven campaign design, two-way government-citizen interaction, and platform-specific strategies significantly improve health behavior outcomes.

Emojis were supposed to be a universal language transcending cultural barriers. Instead, research reveals systematic cross-cultural, cross-generational, and human-AI discrepancies in emoji interpretation, making them a rich site for understanding how digital communication both connects and divides.

Data journalism has evolved from a specialized niche into a core newsroom capability, while generative AI threatens to automate the reporter out of the loop entirely. Four papers trace this transformation, revealing that the epistemological assumptions embedded in code and algorithms are as consequential as the stories they produce.

Cancel culture sits at the intersection of accountability, mob justice, and performative outrage—a phenomenon that reveals fundamental tensions in how digital societies negotiate norm enforcement. Four papers analyze cancel culture through political, reputational, cross-cultural, and sociolinguistic lenses, finding that it functions simultaneously as democratic accountability and digital authoritarianism.

Public trust in science is not a monolithic attitude but a multidimensional network of beliefs about competence, integrity, and benevolence. Four papers reveal that sincerity—not expertise alone—is the most central node in the trust network, fundamentally reframing how scientists should communicate with the public.

TikTok and short-form video platforms have become significant arenas for political communication, reshaping how campaigns reach young voters and how political information circulates. Four papers reveal that algorithmic curation, emotional engagement, and format constraints fundamentally alter the character of political discourse—for better and worse.

AI tools are reshaping how journalists gather, verify, and produce news—but a systematic review finds that this transformation introduces a methodological crisis. As algorithms take over core journalistic functions, the profession faces questions about verification integrity, editorial judgment, and the very definition of news.

A systematic review maps the landscape of AI-based tools designed to combat disinformation—and uncovers a troubling paradox. Some counter-disinformation tools may inadvertently amplify the very content they aim to suppress, raising questions about whether the current tool-based approach is fundamentally flawed.

Generative AI occupies an unprecedented dual position in the information ecosystem: the same underlying technology that enables the creation of convincing false content also powers the detection systems designed to identify it. A new review examines this paradox and its implications for the future of information integrity.

Deepfake technology threatens the conditions for rational public discourse that Habermas identified as essential for democratic societies. Recent analyses examine how synthetic media distorts the public sphere, erodes trust, and what media literacy strategies might offer partial defense.

Most deepfake detectors perform barely better than a coin flip on unseen data, with AUC below 60% on second-generation datasets. A CLIP-based method using only 10 real and 10 fake reference images outperforms detectors trained on 360,000 samples—suggesting the field's entire training paradigm may be wrong.