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Record W4413911579 · doi:10.32920/ifmj.v5i1-2.2446

Exploring Resonances in Audio Media

2025· article· en· W4413911579 on OpenAlexvenueno aff
Sven Yan

Bibliographic record

VenueInteractive Film and Media Journal · 2025
Typearticle
Languageen
FieldComputer Science
TopicMusic Technology and Sound Studies
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceMultimedia

Abstract

fetched live from OpenAlex

This paper examines On the Record, China’s first podcast devoted to uncovering the truths behind famous murder cases, through the lens of critical discourse analysis. As audio media experiences a resurgence in popularity (Newman, 2024), this study highlights the podcast’s unique strategies for fostering resonance with its audience, situating it within the broader context of evolving media landscapes. Employing Norman Fairclough’s (1992, 2013) critical discourse analysis framework, this research focuses on three dimensions of On the Record’s discourse practices. The first dimension explores the textual features of the podcast, including vocabulary, tone, style, and rhetorical strategies. These elements are key to understanding how On the Record crafts its narratives to evoke emotional and intellectual engagement. The second dimension investigates the institutional processes that shape the podcast’s production, such as editorial decisions, resource allocation, and constraints posed by China’s media environment. Finally, the discourse process is analyzed to reveal how the podcast constructs meaning and appeals to listeners by balancing sensationalism with investigative rigor. The podcast’s ability to resonate with audiences is closely tied to its use of audio as a storytelling medium. Unlike traditional visual or written media, audio fosters an intimate, immersive experience, enabling listeners to connect deeply with the narratives. On the Record effectively leverages this affordance by weaving together detailed storytelling, personal reflections, and soundscapes that heighten the emotional impact. This approach not only captivates its audience but also challenges conventional news media by prioritizing depth over brevity, offering a slower, more reflective engagement with complex issues in our society. This study also addresses the socio-cultural significance of On the Record. As part of China’s burgeoning podcasting landscape, the podcast represents a shift in how media audiences seek and engage with narratives in a digital, post-truth era. By analyzing its revival and sustained relevance, the research uncovers how On the Record navigates the tensions between commercial viability and public interest journalism. The findings demonstrate how the podcast constructs resonance through shared cultural memory, collective trauma, and the exploration of moral and ethical dilemmas, fostering a sense of solidarity and introspection among listeners. In the context of interactive media, this paper contributes to understanding the transformative role of audio media in shaping audience experiences. It argues that On the Record not only tells stories but also cultivates a space for emotional and intellectual resonance that transcends the boundaries of traditional journalism. By doing so, it underscores the potential of audio media to build meaningful connections, foster resilience, and inspire collective reflection in an increasingly fragmented media landscape. This study provides a nuanced perspective on the evolving role of audio media as a powerful tool for storytelling and engagement, offering valuable insights into how podcasts like On the Record resonate with audiences and create lasting cultural impacts.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score0.289

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.052
GPT teacher head0.277
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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