The public sphere on a digital plane: The influence of the new digital media on Ghana’s democracy and the Public Sphere
Bibliographic record
Abstract
This paper examines how social media is providing a new digital public sphere and shaping the democratic process in Ghana. It draws on Habermas's public sphere theory to explore how social media has occupied a digital public sphere that creates spaces for democratic participation and public discourse. The paper reviews relevant literature on social media use as a tool of political communication, the new digital public sphere, and the democratic process in Ghana and globally. Since Ghana's return to democratic rule in 1992, the media landscape was initially dominated by traditional state and private media outlets. However, the rise of digital and social media over the past two decades has transformed the public sphere, creating online spaces for citizens to engage in political deliberations and share diverse viewpoints. The paper examines how social media played a crucial role in Ghana's 2020 elections, facilitating citizen political participation, public opinion formation, and activism despite COVID-19 restrictions on physical gatherings. Social media enabled political parties to campaign online, citizens to voice concerns, and interest groups to mobilize protests and demand accountability. While acknowledging the digital divide and attempts by political elites to control narratives, the paper argues that social media's interactive and connective structure has enhanced the public sphere by dismantling dominant discourses and amplifying alternative perspectives. The paper concludes by recommending robust fact-checking mechanisms and collaborative efforts from government, civil society, media, and interest groups to strengthen the digital public sphere's role in consolidating Ghana's democracy. 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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.004 | 0.007 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 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; both teacher heads agree on what is shown here.
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".