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Rationality in Digital Da'wah

2025· article· W4416944273 on OpenAlexaboutno aff
Muhammad Ikram Firda

Bibliographic record

VenueDialogia · 2025
Typearticle
Language
FieldSocial Sciences
TopicIslamic Finance and Communication
Canadian institutionsnot available
Fundersnot available
KeywordsDialogicDialogical selfRationalityConversationCredibilityIslamObject (grammar)Critical discourse analysis

Abstract

fetched live from OpenAlex

The lack of studies on logic-based da'wah strategies in digital conversation formats is an important gap in contemporary religious communication studies. This article aims to analyze how a rational approach is used in delivering Islamic messages through the YouTube podcast "Belajar Islam Pake Logika" with Felix Siauw and Raymond Chin. This study employs a qualitative approach in which descriptive procedures are used to organize the data, while Fairclough’s critical discourse study serves as the primary analytical framework. The object of study is the content of conversations in podcasts lasting more than one hour, with data in the form of complete transcripts obtained through documentation and non-intervention observation. The analysis was conducted through three stages: text analysis, discursive practices, and social practices. The findings show that logical argumentation, dialogic style, and social criticism are used as the main strategies of da'wah to build credibility and reach critical audiences. The findings indicate that rationality functions as a discursive resource that restructures how religious authority is articulated in digital media. This expands the theoretical understanding of da'wah communication by showing that meaning-making in contemporary Islamic discourse increasingly depends on dialogical reasoning rather than hierarchical textual claims. REFERENCES D’Ambrosio, Mariangela. “Emotions in Political Discourse and Social Narratives: Sociological Reflections on Traditional and New Media.” Society Register 6, no. 4 (2022): 101–16. https://doi.org/10.14746/sr.2022.6.4.06. 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Kleven.” Lutheran Quarterly 36, no. 4 (2022): 454–56. https://doi.org/10.1353/lut.2022.0106. Mukhtidinov, Rashid. “Da’wah and Counter-Radicalism in Indonesia.” Dakwatuna: Jurnal Dakwah Dan Komunikasi Islam 9, no. 1 (2023): 67–78. https://doi.org/10.54471/dakwatuna.v9i1.2246. Nasution, Nadya Amalia and Alisya. “Islamic Leadership Narratives on YouTube: A Framing Analysis of Digital Da’wah Messages.” Ath-Thariq: Jurnal Dakwah Dan Komunikasi 8, no. 2 (2024): 116–27. https://doi.org/10.32332/ath-thariq.v8i2.8sw96g96. Nesterova, Natalia, and Anastasia Oreshkina. “The Paper Explores New Discursive Practices Determined by Media Convergence and New Communication Conditions. Based on the Case Study of the Program ‘We Speak Russian’ and the Podcast ‘What Is It in Russian?’ The Following Dynamic Changes Have Been Ident.” Philology & Human, no. 4 (December 2022): 26–42. https://doi.org/10.14258/filichel(2022)4-02. 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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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.011
metaresearch head score (Gemma)0.016
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.012
Threshold uncertainty score0.058

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.016
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0060.034
Scholarly communication0.0120.013
Open science0.0010.010
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0040.001

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 head0.023
GPT teacher head0.320
Teacher spread0.297 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
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".

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Citations0
Published2025
Admission routes1
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