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Record W3125092742 · doi:10.17721/apultp.2020.41.42-61

Political discourse analysis: spin-doctoring paradigm

2020· article· en· W3125092742 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueCurrent issues of Ukrainian linguistics theory and practice · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicLanguage, Communication, and Linguistic Studies
Canadian institutionsnot available
Fundersnot available
KeywordsPoliticsRealization (probability)Political communicationLinguisticsPhenomenonObject (grammar)Subject (documents)EpistemologyPerceptionSociologyPolitical scienceComputer scienceLawPhilosophy

Abstract

fetched live from OpenAlex

The author of the article analyzes the realization of verbal influence (also known as suggestion) phenomenon in political discourse, which is defined as a whole combined image of the text itself and emotions of its recipient and addressee,including the peculiarities of perception, external and internal circumstances, its pragmatic and linguistic aspects, etc, and is aimed at a a political subject’s (politics, political force, power) influencing a political object (audience, electorate, voter). Most scientists study political discourse and its immanent influential properties from the standpoint of Psychology, Communicative Linguistics, Pragmalinguistics, Political :inguistics and other related sciences, but the author proposes to research the peculiarities of perception, processing and generation of information and its transformations from deep thought structures to superficial speech with the help of involving Neurolinguistic Programming as a modern science which deals with analyzing such concepts; as well as Spin-Doctoring, an ultramodern complex discipline aimed at a correction of the negative gestalted image of the event in the media after its has already happened or right before its manifestation, which is impossible without the involvement of language techniques to influence the recipient or group of recipients. In order to fully research the political discourse, which in the network of this article is represented by the political speeches of the leaders of Ukraine, USA, France, Spain, Italy, Canada, Germany, the author involves both the basic techniques of political discourse correction which are utilized in Spin-Doctoring ( negative information delay, ambiguous informing, focus switch, interspersing the artificial situations with elements of naturalness, and the technique of controlled information leaks and preparation for events expectations); and the meta- and Milton-model analysis of the text hving been researched and developed in the NLP paradigm in order to isolate the actual linguistic influential patterns (markers of language metamodeling processes, simple, complex and indirect inductions). The analysis details the available data on the peculiarities of the implementing and enhancing the linguistic influence within the political discourse, as well as outlines the next steps in the development of research dedicated to this phenomenon.

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.

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)0.003
metaresearch head score (Gemma)0.131
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.963
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.131
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
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 head0.085
GPT teacher head0.467
Teacher spread0.382 · 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