# Mention Actions – User Controls

> Take action on mentions by tagging, exporting, cleaning noise, or engaging with users.

> Take action on mentions by tagging, exporting, cleaning noise, or engaging with users.

In addition to viewing mentions, you can usually take actions to organise, annotate, or export them.

## 5.4 Mention Actions (User Controls)

### Add to Report / Dashboard

- Mark specific mentions as highlights or examples.
- Add them to custom reports or dashboard widgets.

Use this for:

- Monthly summaries.
- Case studies of campaigns or crises.
- Internal presentations.

### Tag / Categorise Mentions

Apply tags or labels to classify mentions, such as:

- Complaint, Praise, Suggestion.
- Product A, Product B.
- Campaign X, Campaign Y.
- Priority, Resolved.

Tagging helps:

- Build your own categories beyond automatic sentiment or topics.
- Create filtered views (for example, only complaints about Product A).
- Support workflows with support, product, or CX teams.

### Hide or Remove Mentions (Clean Noise)

You may encounter spam, duplicates, or irrelevant mentions.

Common actions include:

- **Hide** – hides the mention from your default views without deleting it from the database.
- **Remove from Project** – excludes the mention from this particular project’s analytics (depending on your setup).

This keeps your dashboards cleaner and improves accuracy.

### Engage Directly (If Enabled)

In some configurations, you may be able to:

- Click a button to open the original post and reply.
- Use integrations (for example, with social publishing or ticketing tools) to respond or assign the mention.

Common workflows:

- Route negative high-impact posts to PR or support.
- Thank or amplify positive mentions from fans or influencers.

### Export Mentions

Export selected mentions (or filtered sets) as:

- CSV / Excel files for deeper offline analysis.
- Attachments to reports or case documentation.

Exports typically include:

- Full text.
- Author info.
- Platform.
- Time.
- Sentiment, reach, and engagement data.