Loading...
Dhaka Tribune · February 2026
February 2026 editorial profile for Dhaka Tribune. Below: how this outlet framed the actors and regions it covered most in February 2026. Tap any tile to jump to the detailed card.
Editorial stance
One tile per entity (country or public figure) covered enough times this month to draw a confident editorial-stance read. Colour from red (hostile) to green (supportive); intensity scales with headline volume. Tap to jump to the detailed card.
Bangladesh25 titles0Reportorial“neutral factual reporting”
Patterns
- routine coverage of political events and accidents
- no evaluative language toward the country as an entity
- mix of positive developments (partnerships, congratulations) and negative news (accidents, air quality)
- entity treated as a passive setting or recipient of actions
Caveats
The entity is the country itself, not a specific actor; coverage is predominantly factual with no consistent positive or negative framing of Bangladesh as a whole. Some headlines imply challenges (air pollution, accidents, climate impact) but these are reported neutrally without blame or praise toward the country.
RAHMAN18 titles+1Constructive“respectful and celebratory”
Patterns
- Foregrounds international congratulations and diplomatic recognition
- Uses neutral or positive framing for the entity's actions and roles
- No critical or distancing language toward the entity
Caveats
The entity is quoted congratulating others (headline 14), but the outlet's own framing remains positive; no negative coverage of the entity appears in the bundle.
February 2026 overview
Track distributioniShare of coverage across thematic tracks
politics
society
security
economy
Top actorsiMost frequently mentioned actor categories
NONE
14.1%
BD EXECUTIVE
8.9%
IN EXECUTIVE
4.7%
US EXECUTIVE
4.7%
CORPORATION
4.2%
POPULATION
4.2%
UK EXECUTIVE
3.8%
BD ARMED FORCES
3.3%
Domain focusiThematic domains: security, governance, economy, etc.
FOREIGN POLICY
37.1%
GOVERNANCE
24.9%
SOCIETY
18.3%
SECURITY
12.2%
ECONOMY
7.0%
MEDIA
0.5%
Publication patterniDay-of-week distribution of published titlesall time
Monday
17.6%
Tuesday
13.8%
Wednesday
15.8%
Thursday
15.2%
Friday
12.7%
Saturday
13.5%
Sunday
11.3%
peak hour: 11:00 UTC