САТИРИЧНО-ГУМОРИСТИЧНІ ТЕКСТИ УКРАЇНСЬКОЇ БЛОГОСФЕРИ ЯК ІНСТРУМЕНТ ВІДТВОРЕННЯ ДІЙСНОСТІ
Bibliographic record
Abstract
The purpose of the study is to characterize satirical and humorous texts of the Ukrainian blogosphere as a tool for representation of reality and manifestation of citizen journalism. Research methodology. To study the blogosphere a set of methods was used: method of analysis and synthesis, systematization of data and data interpretation. A revision of the literature on the creation of satirical and humorous effect in the blogosphere was made, it was considered scientific publications about blogs, their place in the public information space and their usage as a tool for representation reality. Content on YouTube was used for the analysis, in particular, channels that present satirical and humorous texts of the national segment on the analyzed platform. An online poll was conducted in order to identify popular blogs. The interpretative method demonstrated the dependence of satirical and humorous texts about social issues on the current political situation in the country and the author’s subjective assessment of the occurring events. Results. Based on the analysis of the scientific literature, the characteristics of the blog as an image of reality and a means of reality representation are highlighted. Popular satirical and humorous blogs are outlined, their functions and ways of creating a comic effect are characterized and justificated. The blogosphere in the media system is a powerful element of communication and an instrument of conveying information. Through the wide involvement of recipients blogosphere creates stereotypes, instructions, prejudices in society, as well as reduces or increases social tension. Satirical and humorous texts are important channel for transferring information from the author to the audience and at the same time a means of communication between the recipients themselves. Bloggers are able to involve the audience in communication, as well as to make informational, emotional impact through their texts. Therefore, it is necessary to understand the crucial importance of the blogosphere for consumers of content, including satirical and humorous. The study identified the dominant functions of popular satirical and humorous blogs by Alexei Durnev, BAMPER TV, Michael Schur Toronto Television on YouTube video hosting and outlined the actual component of the analyzed texts. Practical significance. The results of the study can be used in the process of working on courses in «Journalism» in the study of applied social and communication technologies; formation of competencies related to the creation of effective texts in social media, as well as media practices for understanding the tools of reality representation in the modern information space. Key words: blog, blogosphere, satirical and humorous text, reality, citizen journalism.
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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 | 0.002 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.006 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.033 | 0.011 |
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".