Mass Media, Terrorism and National Security: Defining the Threats
Bibliographic record
Abstract
The menace of terrorism has been a source of worry to communication specialists. This is more so due to the centrality of communication, particularly the mass media, to the challenge posed by different security concerns, especially national security and terrorism. Violence is escalating rapidly, impacting on local communities, sparking dissensions and eventually, further tensions. Despite being a potent instrument to fighting terrorism and insecurity, this research explores the interface of mass media with security issues, as well as the challenges the media pose to national security, given that the mass media themselves sometimes are a form of threat to the security of nations and their peoples. This study discusses the role mass media play in the business of human security versus national security. It identifies espionage, propaganda, cultural imperialism, regulatory concerns, editorial manipulations, as well as the Internet as some of the threats that the mass media industry poses to national security. Terrorist groups including Hezbollah, Hamas and al-Qaeda use computerized gadgets, e-mails and encryptions to support their operations. It is therefore recommended that media professionals must always adhere to their codes of ethics to ensure that they carry out their responsibilities for the ultimate good of society; systems protection and adequate regulation should be given topmost priority by both government and non-governmental bodies; and that citizens should be made to be more aware of the dangers of cyber terrorism as it enables terrorists to operate with a decreased need for government protection. It is also recommended that security operatives should work with media practitioners as watchdogs of the society.
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 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 | 0.004 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.007 | 0.004 |
| Science and technology studies | 0.007 | 0.028 |
| Scholarly communication | 0.017 | 0.030 |
| Open science | 0.001 | 0.008 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".