The central claim of the study is that four distinct components of a host’s professional practice work together rather than in isolation. These are cultural communication ability, innovative expression, professionalism, and role positioning. Earlier scholarship, the authors note, tended to isolate a single dimension, such as a presenter’s expressive style or personal image, without explaining how those elements interact or through what psychological pathways they affect viewers. By integrating encoding and decoding theory from cultural studies, the stimulus-organism-response model from behavioral psychology, and cross-cultural communication theory, the researchers built an integrative framework in which each component has a testable, measurable effect on audience outcomes.

The theoretical backbone of the framework draws on Stuart Hall’s encoding and decoding model, which holds that meaning is not simply delivered by a sender but is actively constructed by audiences as they interpret messages. In this view, a news host is an encoder who packages cultural meanings into language, tone, and presentation, while viewers decode those meanings through the lens of their own cultural backgrounds. The stimulus-organism-response model then supplies the psychological mechanism: the host’s communication acts as an external stimulus, the audience’s internal emotional and cognitive states serve as the organism-level processing stage, and observable outcomes such as acceptance of information or identification with cultural values emerge as the response. Cross-cultural communication theory completes the picture by accounting for how cultural distance between message and audience changes the strength of these effects.

To test this framework empirically, the team conducted a questionnaire survey drawing on data from the news media industry and analyzed the results using partial least squares structural equation modeling, or PLS-SEM. This statistical technique is well suited to communication research because it allows researchers to estimate multiple cause-and-effect pathways simultaneously, including indirect effects that pass through mediating variables and effects that change strength depending on contextual moderators. In this study, the mediating variables included emotional resonance, and the moderators included platform type, audience age group, and cultural distance.

The results are striking in their magnitude. Cultural communication ability, meaning the host’s capacity to convey cultural content clearly and compellingly, had a strong positive effect on cultural identity among audiences, with a standardized path coefficient of 0.583, significant at the p < 0.001 level. In practical terms, hosts who excel at communicating cultural meaning appear to do far more than entertain; they measurably strengthen the sense of shared cultural belonging among the people who watch and listen to them. Crucially, this effect was significantly amplified on new media platforms, with an additional coefficient of 0.174 at the p < 0.01 level. The finding suggests that streaming services, short-video platforms, and social media do not dilute the cultural function of hosts but can intensify it, likely because these formats foster closer, more interactive relationships between presenters and their audiences.

Innovative expression, the second component, worked through a different and more subtle pathway. The study found that creative and fresh modes of expression did not directly boost information acceptance as much as they first generated emotional resonance in the audience, which in turn drove acceptance. The indirect effect through emotional resonance was estimated at 0.326, with a 95 percent confidence interval running from 0.241 to 0.418, an interval that excludes zero and therefore confirms a statistically reliable mediation. This emotional detour helps explain why hosts who experiment with new formats, narratives, and interactive styles often outperform those who rely on conventional delivery: the innovation first creates an emotional connection, and that connection then opens the door for the information itself to land.

The remaining two components revealed that context matters enormously. Professionalism, which encompasses a host’s training, credibility, and ethical standards, strengthened social influence, but the size of this effect depended on the age group of the audience, with a moderation coefficient of 0.137 at the p < 0.05 level. Meanwhile, role positioning, meaning how hosts situate themselves in relation to their audiences and their institutions, significantly enhanced the effectiveness of external communication aimed at international audiences. Here the researchers found that cultural distance, the degree of difference between the host’s cultural frame and the audience’s, positively moderated this pathway, with a coefficient of 0.156 at the p < 0.05 level. Somewhat counterintuitively, greater cultural distance can strengthen the impact of well-positioned hosts in cross-border communication, presumably because the host’s role as a deliberate cultural translator becomes more valuable and more visible precisely when the gap between cultures is wider.

Beyond its statistical findings, the study validates two mechanisms that the authors argue previous research had neglected: emotional mediation and contextual moderation. Emotional mediation means that the psychological route from a host’s performance to audience impact runs through feelings, not just through the clarity of the message. Contextual moderation means that the same performance produces different results depending on the platform, the demographic composition of the audience, and the cultural gap between communicator and receiver. Together, these mechanisms transform what might seem like an abstract discussion of broadcasting style into a practical science of audience influence, one that can be measured, modeled, and optimized.

The practical implications reach three constituencies. For broadcasting organizations, the results suggest that investing in hosts’ cultural communication skills is not a soft priority but a quantifiable driver of audience identity and engagement, and that new media platforms should be treated as amplifiers of that investment rather than as a separate, less serious channel. For journalism education, the findings argue for curricula that go beyond voice training and on-camera technique to include cultural literacy, emotional intelligence, and the psychology of audience interpretation. For international communication practice, the evidence on role positioning and cultural distance points toward a strategy of deliberate cultural translation, in which hosts positioned as bridges between cultures can achieve outsized influence precisely where audiences are most culturally distant.

Perhaps the study’s most compelling contribution is its reframing of the profession itself. The authors conclude that broadcasters and hosts should be understood not as information transmitters but as cultural translators, professionals whose work determines how cultural meaning is encoded, emotionally received, and decoded across different audiences and platforms. In an era when newsrooms worldwide are wrestling with fragmented attention, platform disruption, and cross-cultural tension, the research offers a data-driven argument that the human voice at the center of news communication remains a powerful cultural instrument, and that understanding its mechanisms scientifically may matter as much as understanding the algorithms that distribute its signal.

Subject of Research: The mechanisms by which broadcasting and hosting practices mediate cultural identity and communication effectiveness in news media

Article Title: Cultural role and innovative development of broadcasting and hosting in news communication

Article References: Wang, Y., Pan, R., & Cao, P. (2026). Cultural role and innovative development of broadcasting and hosting in news communication. Humanities and Social Sciences Communications. https://doi.org/10.1057/s41599-026-08563-4

Image Credits: AI Generated

DOI: 10.1057/s41599-026-08563-4

Keywords: broadcasting, news hosting, cultural communication, encoding-decoding theory, PLS-SEM, emotional resonance, new media platforms, cultural identity, cross-cultural communication, media studies, journalism education, structural equation modeling

The researchers set out to answer a deceptively simple question: what actually drives a political post to spread within a platform? Rather than relying on coarse positive-versus-negative sentiment labels, the team deployed state-of-the-art deep learning language models, including BERT and DistilRoBERTa, to capture fine-grained affective expressions across the massive comment corpus. These transformer-based models, trained on vast text corpora, can distinguish subtle emotional states such as anger, disgust, fear, sadness, surprise and joy, allowing the researchers to quantify the emotional texture of political discourse at a scale no human coding team could match. The approach reflects a broader shift in information systems research, where natural language processing has become a standard instrument for measuring the psychological signals embedded in millions of online interactions.

The results confirm and extend a long-standing suspicion among communication scholars. Posts saturated with negative emotions, especially anger, disgust and fear, attracted significantly more engagement and were far more likely to rank among the most viral content in their communities. Positive emotions, by contrast, showed only weak associations with spread. This asymmetry echoes earlier findings, notably the influential 2012 study by Jonah Berger and Katherine Milkman on what makes online content viral, but the new work goes further by examining within-platform virality in dedicated political communities, where audiences are already politically engaged and emotionally primed. In such environments, the researchers suggest, outrage functions almost as a currency of attention, rewarding content that provokes indignation or alarm.

Equally consequential is the study’s second major pillar: multimedia presence. Posts accompanied by images or video did not merely reach larger audiences; they also carried measurably higher emotional intensity. The authors interpret this through the lens of peripheral cues in information processing theory. When users scroll rapidly through feeds, they often engage in heuristic rather than systematic processing, and multimedia elements act as powerful peripheral signals that trigger affective responses before any careful evaluation of the message occurs. A striking image can amplify the emotional charge of a headline, and that amplified emotion, in turn, drives clicks, comments and shares. The finding aligns with prior research on visual cueing and image-based engagement in marketing and information systems, but its implications for political communication are considerably more troubling.

It is precisely this emotion-plus-multimedia mechanism that generative AI has supercharged. Tools capable of producing photorealistic images, synthetic video and fluent persuasive text have collapsed the cost of manufacturing emotionally resonant content to nearly zero. The researchers frame their analysis explicitly against this backdrop: the organic amplification dynamics they document become especially consequential when malicious actors can deliberately engineer the very emotional and multimedia cues that the algorithms and audiences reward. Deepfakes and AI-generated imagery depicting fabricated events can exploit the same peripheral-route processing that makes authentic multimedia so engaging, meaning that the virality engine documented on Reddit operates identically on false content as on true content. Emotion does not discriminate between accurate and fabricated claims; it simply accelerates both.

Beyond emotion and media format, the study uncovered a third, less expected class of associations involving platform governance characteristics. Features related to moderator status and account-level authentication were linked to lower emotional amplification, suggesting that governance-related design choices may dampen the emotional escalation that fuels virality. This is a notable contribution because most virality research focuses exclusively on content attributes while ignoring the institutional context in which content circulates. The finding hints that interventions at the level of community structure, such as identifiable, accountable participants and active moderation, could serve as friction against the outrage economy, though the authors are careful to describe these as associations rather than proven causal mechanisms.

Methodologically, the study demonstrates the value of large-scale computational text analysis paired with rigorous validation. The researchers supplemented their model-based emotion scores with external validation exercises comparing machine-generated labels against human reviewer codings, and they tested the robustness of their virality findings using multiple operationalizations, including thresholds based on the top five percent of posts and alternative rankings by upvotes. Regression models controlling for a battery of content and creator characteristics isolated the incremental contribution of emotional and multimedia variables. The authors also report descriptive and correlation analyses across their extensive variable set, and the underlying data are available from the authors on request, reflecting growing norms of transparency in computational social science.

The theoretical stakes extend into classic information systems frameworks. The study engages the elaboration likelihood model, which distinguishes central from peripheral routes of persuasion, and media synchronicity theory, which describes how different media affordances support different communication processes. By showing that multimedia cues operate largely through peripheral emotional pathways, the research offers a bridge between these established theories and the empirical realities of contemporary platform ecosystems. It also connects to a rich literature on social presence, online disinhibition and toxic behavior, which has long argued that anonymity and reduced social cues reshape how users express and absorb emotion online. What the new study adds is a quantified account of how those expressions translate into differential spread within real political communities.

The practical implications are equally significant. For platform designers, the findings suggest that ranking systems which reward engagement may be inadvertently optimizing for negative affect, and that multimedia-aware moderation could target the specific combination of imagery and outrage that spreads fastest. For policymakers grappling with misinformation, the study underscores that fact-checking alone, which operates on the slow central route of processing, may be structurally mismatched against content that persuades through fast peripheral cues. Interventions that introduce friction, prompt deliberation or leverage System 2 thinking, as prior fake-news research has proposed, gain new urgency when the emotional triggers of virality can now be synthetically mass-produced. The researchers position their work as a foundation for governance in the generative AI era, arguing that effective regulation must be grounded in an accurate empirical picture of how content actually spreads.

Limitations remain, as the authors acknowledge. Reddit’s community structure, voting mechanics and moderation norms differ from those of other platforms, and within-platform virality is not identical to cross-platform diffusion into the broader information environment. The observational design cannot fully rule out confounding, and emotional expression measured in text may not capture the full affective experience of users. Yet the scale of the evidence, the granularity of the emotion measurement and the convergence with prior literature make a compelling case that the study’s core conclusions generalize widely. As generative AI continues to lower the barriers to producing emotionally charged multimedia content, the mechanisms documented here will only grow in importance. The study’s message to researchers, platforms and regulators alike is clear: to understand misinformation, one must first understand emotion, and to understand emotion online, one must understand the multimedia vessels in which it travels.

Subject of Research: Emotional and multimedia drivers of virality and misinformation risk in political social media during the generative AI era

Article Title: Emotional Resonance and Multimedia Presence: Unpacking Virality and Misinformation Risks in the Generative AI Era

Article References: Puthineedi, V. B., & Jha, A. K. (2026). Emotional Resonance and Multimedia Presence: Unpacking Virality and Misinformation Risks in the Generative AI Era. Information Systems Frontiers. https://doi.org/10.1007/s10796-026-10816-1

Image Credits: AI Generated

DOI: 10.1007/s10796-026-10816-1

Keywords: emotional resonance, multimedia presence, online virality, misinformation, generative AI, Reddit, social media governance, negative emotions, deep learning, BERT, engagement, platform moderation