Information Communication Technology and Citizen Journalism in Nigeria: Pros and Cons
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.
Bibliographic record
Abstract
This study explicates the relationship between citizen journalism and ICT in Nigeria. It explores the pros and cons of ICT and citizen journalism. Qualitative research method was employed for the collection of secondary data which comprised of books, magazines and journals. The study reveals that in as much as citizen journalism and ICT are interwoven, numerous issues and challenges associated with ICT are confronting the efficiency of citizen journalism in Nigeria. Blogging, podcasting and mablogging among others have made internet users (Netizens) to no longer passively consume media news but actively participate in them. Another issue confronting citizen journalism and ICT is the fact that there are no editors (gatekeepers) in the news and information disseminated through citizen journalism using the available ICT media. No editors to verify the truth within what someone has written, unlike in the traditional journalism and in the world of endless information, credibility is a very essential ingredient for information seekers. To curtail some of the issues affecting citizen journalism/participation, the study recommends that participants (citizen journalists) should try as much as possible to ensure that their news and information are edited by professionals before they are published. ICT facilities should be made available in areas where they are not available and at cheap cost to ensure that its range of targeted audience is vast, thus making it more efficient.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it