The Moderation Challenge

Community managers make judgment calls all day. Is this message spam? Is this link safe? Is this user contributing or just self-promoting? These decisions are subjective, inconsistent across team members, and exhausting at scale.

TextScore gives you a data point for each decision. It doesn't replace your judgment. It gives you objective scores to back up your calls and keep your team aligned.

Spot-Checking Flagged Messages

When a message gets reported or auto-flagged, paste it into TextScore for a quick analysis. This gives you:

• Spam score: A number to confirm or override your bot's flag. If TextScore scores it low-risk, it might be a false positive.
• Sentiment analysis: Tells you if the message is hostile, neutral, or positive. Helpful for borderline cases.
• Link safety: If the message contains URLs, TextScore checks for shortener abuse, suspicious domains, and phishing patterns.
• Quality score: Distinguishes between low-effort spam and genuine contributions that just happened to trigger a filter.

This takes seconds and gives you documentation for your decision. If a user appeals, you have data to point to.

Auditing Channel Guidelines

Your community guidelines should practice what they preach. Paste your rules and guidelines into TextScore to check:

• Are your guidelines readable? If the readability score is below 50, your members won't read them. Aim for 65+.
• Is the tone right? Sentiment analysis shows if your guidelines sound welcoming or threatening.
• Are they clear? The quality score flags vague language. "Be respectful" is vague. "Don't use slurs or personal attacks" is clear.

Training New Moderators

New moderators need calibration. What one person calls spam, another calls enthusiasm. TextScore provides a shared reference point.

• Build a training set: collect 20-30 real messages that were correctly moderated. Run each through TextScore.
• Show new mods the scores alongside the decisions. "This message scored 72 on spam and was removed. This one scored 15 and was kept."
• Set score thresholds for escalation. For example: "Any message scoring above 50 on spam gets reviewed by a senior mod."
• Use TextScore's feedback to explain why something was flagged. The specific triggers are more instructive than "it just felt spammy."

Discord

Discord communities deal with link spam, crypto scams, and self-promotion bots constantly. Use TextScore to:

• Screen links shared in your server. Run suspicious URLs through link safety analysis.
• Evaluate introduction posts. New members who paste promotional content can be flagged by high spam scores.
• Check announcement drafts before posting. Your own announcements should model the communication standards you expect.

Reddit

Subreddit moderators balance free discussion with quality control. TextScore helps you:

• Evaluate reported posts objectively. A spam score gives you evidence, not just opinion.
• Check self-promotion ratios. Users who only post promotional content will score high on spam consistently.
• Audit your subreddit's sidebar and rules for readability.

Brand Communities

If you manage a brand's community forum or social presence, TextScore helps with:

• Screening user-generated content before it's featured or shared by your brand account.
• Checking your own community responses for readability and tone.
• Building internal content standards with measurable benchmarks.

The most effective community teams have written standards with numbers, not just guidelines with vibes. Use TextScore to define yours:

• Spam threshold: Messages scoring above X get auto-reviewed.
• Link policy: All shared links must pass TextScore's link safety check.
• Readability minimum: Official announcements must score above 60 on readability.
• Sentiment range: Community responses from your team should stay in the neutral-to-positive range.

These standards scale. Whether you have 2 moderators or 20, everyone is working from the same playbook.