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.
Please label the following tweet. 1 for War/Terror, 0 for not: 'RT @NAME_1_NAME_2_1985: NAME_3 al-Sham militants wounded in the battles with Jebhat Tahrir Suria in the province of #Idlib were evacuate…’ There should be exactly 2 paragraphs separated by the markdown divider: ***.
user