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Israeli Forces Destroy 17 UN Peacekeeper Cameras in Lebanon: UN
UNIFIL said the attacks damaged its headquarters and killed three Indonesian peacekeepers as fighting between Israeli forces and Hezbollah spread across southern Lebanon.
- On Saturday, April 4, Israeli forces destroyed 17 surveillance cameras linked to the United Nations Interim Force in Lebanon main headquarters in the coastal town of Naqura within 24 hours.
- UNIFIL spokeswoman Kandice Ardiel told AFP that "the cameras appear to have been destroyed by some kind of laser," adding that Israeli soldiers in Naqura are undertaking massive demolitions causing damage to UNIFIL's headquarters.
- Condemning the incident as "unacceptable," Indonesia stated these events underscore the urgent need to strengthen protection for UN peacekeeping forces; 97 force members have been killed since UNIFIL's establishment in 1978.
- Three UNIFIL personnel were wounded in an explosion near Odaisseh on Friday, April 3, with the mission stating they "do not yet know the origin of the explosion."
- Since the Israel-Hezbollah war began on March 2, UNIFIL has been caught in the crossfire as Hezbollah launches attacks on Israel and Israeli forces push into border towns in southern Lebanon.
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UNIFIL warns of risks to peacekeepers amid fire near its positions in southern Lebanon
Mission has 'continually expressed concern about Hizbullah fighters and Israeli soldiers firing projectiles and bullets at or near our positions,' UNIFIL spokesperson says, noting incidents already resulted in peacekeepers' casualties - Anadolu Ajansı
·Ankara, Türkiye
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Israeli forces destroy UN peacekeeper cameras in south Lebanon
·London, United Kingdom
Read Full ArticleIn the past 24 hours, the Israeli army has destroyed 17 surveillance cameras at the headquarters of the United Nations International Peacekeeping Force (Unifil) in southern Lebanon, where two girls and an Israeli soldier were killed today.
Coverage Details
Total News Sources19
Leaning Left5Leaning Right3Center2Last UpdatedBias Distribution50% Left
Bias Distribution
- 50% of the sources lean Left
50% Left
L 50%
C 20%
R 30%
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