The Underlying Ideologies in News Articles: The Study Through the Use of Direct Quotations and Lexical Choices in an English Newspaper in Thailand and an American Newspaper
Bibliographic record
Abstract
The qualitative study investigates the different ideologies underlying in news articles on the red shirt demonstration during March-May, 2010 that were published in the Bangkok Post (BKP) and the New York Times (NYT). The Critical Discourse Analysis (CDA) is used as the major instrument to analyse news texts. The research studies two aspects, namely, direct quotations and lexical choices of word with a different connotation. The study found that the ideologies in both newspapers are transmitted through these linguistic perspectives. NYT tends to use direct quotations and lexical choices to support and argue for the demonstration of the red shirt protesters, whereas BKP is likely to take side of the Thai government. The demonstration in 2010 in NYT's view seem to be the fighting for the true democracy by the poor, who are the majority of the country's electoral bloc, while BKP does not support the violence caused by the Red Shirt protesters.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.004 |
| Science and technology studies | 0.005 | 0.007 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".