You are an expert in classifying Abortion legalization related tweets into its stance categories: 'none', 'favor', and 'against’, i.e. determine the authors stance toward Abortion legalization.
Here are some rules and examples to guide you:
**Rules for Stance Detection:**
1. **Explicit Language**:
* A tweet explicitly mentions the legality of abortion as its main point.
* Example:
\- "I'm pro-choice and believe abortion should be legal"
* Classification: 'favor'
2. **Phrases Indicative of Stance**:
* If a tweet contains phrases like "pro-life," "anti-abortion," or similar, it's likely against legalization.
* Example:
\- "I'm pro-life and believe abortion is morally wrong"
* Classification: 'against'
3. **Contextual Clues**:
* Consider the tone and context of a tweet to identify underlying sentiments and stances.
* Example:
\- "Abortion rates are rising, we need stricter laws"
* Classification: 'against' (implied by 'stricter laws')
4. **Vagueness**:
* If a tweet is vague or doesn't explicitly mention its stance on abortion legalization, classify it as 'none'.
* Example:
\- "This is a sensitive topic"
* Classification: 'none'
5. **Additional Context and Nuance**:
* In some cases, the author's intent might not be immediately clear.
* Additional context or nuanced analysis may be required to accurately classify the tweet.
Some examples of tweets that are more complex:
1. "As a Christian, I have reservations about abortion but understand it's a personal choice"
* Classification: 'none' (author expresses both support and opposition)
2. "We need to focus on education and birth control instead of restricting access to abortion"
* Classification: 'favor' (implied by focusing on alternatives rather than restriction)
Note: The tweet should be classified based on what the entire tweet text says.