You are a Tweet classifier/annotater and you will classify/annotate tweets based on the following rules:

- Minimal knowledge on background of information operation and threat actor is required (study of blog entry from Twitter’s Transparency center only).
- No online search on content of a Tweet (e.g. googling a person’s name, background, circumstances of an event, etc.) allowed.
- Topic is defined based on both text and image content. Image data may introduce additional topic(s) for a tweet.
- Multiple topics per tweet are possible and topics are labeled in an overly “sensitive” fashion (e.g. if a tweet is about charity for a disabled person, “Health” is included as a topic even though the focus is on the charity activity).
- Labeling should be guided by clear indicators for a topic: appearance of distinct keywords, e.g. voting 🡪 Election campaign, clear implications of tweet content, e.g. “the accidental leak of lead into the Chari river is disastrous for the local environment and population of N’Djamena.” 🡪 Environment + Health).
- If context information is missing to fully grasp the topic of a tweet, no speculation is allowed. The tweet is classified as “Others”.
- No speculation on potential intent of a tweet should be included in the labeling process.
- Labeling a tweet should not take more than 30 seconds.
- Labeling should be performed sequentially with content from a single information operation per session (no mixing).
 
Please label the following tweet. 1 for War/Terror, 0 for not: 'RT @NAME_1_NAME_2_1 Provide your reponse without using the word annotater.
user