Constitutional freedoms in the digital age: a review of Marcin Wielec’s volume on the freedom of expression and pluralism
Bibliographic record
Abstract
Social media are an important part of our everyday life.They emerged as a contemporary response of the digital world to the primordial human need, which is the need for social contact, as well as the need to connect into social groups". I. From Connection to Regulation: Setting the StageMarcin Wielec 1 opens the volume with a powerful insight: social media are not just tools but extensions of our human need for connection and community.This insight frames the broader inquiry of the book -an inquiry into how these platforms, born of a basic social instinct, now profoundly shape constitutional values like freedom of expression and democratic pluralism.The volume The Impact of Digital Platforms and Social Media on the Freedom of Expression and Pluralism, edited by Marcin Wielec and published in 2021 by the Ferenc Mdl Institute of Comparative Law and Central European Academic Publishing, addresses one of the most pressing constitutional challenges of our era: the balance between freedom of expression and the regulation of digital communication spaces.Bringing together contributions from renowned legal scholars across Central Europe, the book offers a timely and thorough examination of how digital platforms and social media have reshaped the legal landscape of free speech and pluralism in democratic societies.With a particular focus on the experiences of countries such as Poland, Hungary, Serbia, Croatia, Slovenia, and Slovakia, the volume provides both theoretical analysis and national case studies, highlighting common trends as well as jurisdiction-specific issues.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".