Analyse social media mentions of your cause

The problem

People are talking about your cause area on social media but you don't know where or what they're saying. You might miss: partnership opportunities (companies expressing interest), criticism you should address, supporters you could engage, policy changes affecting your work, community conversations you should join. Manual monitoring means checking multiple platforms daily - time-consuming and easy to miss things.

The solution

Collect mentions you find (Twitter/X searches, LinkedIn posts, Facebook discussions, news articles) and use AI to analyse them. Paste batches of mentions into Claude or ChatGPT, ask it to: categorise by sentiment (positive/negative/neutral), identify themes (funding, policy, service gaps), spot opportunities (potential partners, supporters), flag issues needing attention. The AI spots patterns across 50+ mentions that you'd miss reading individually. IMPORTANT: Before pasting mentions into AI tools, remove or anonymise usernames and handles to protect privacy - you're analysing sentiment and themes, not tracking individuals.

What you get

Analysis of social media mentions: 'From 45 mentions this month: 60% positive (praising similar services), 30% neutral (policy discussions), 10% negative (service gaps in your area). Key themes: increased funding announced (8 mentions), new government policy (12 mentions), service user testimonials (15 mentions). Opportunities: 3 companies expressing interest in cause, 5 potential volunteers identified. Action needed: Address criticism about waiting lists (mentioned 4 times).'

Before you start

• Basic social media search skills (finding mentions on Twitter/X, LinkedIn, Facebook)
• Understanding of what topics/keywords relate to your cause
• Time allocated for regular monitoring (weekly or monthly)
• A Claude or ChatGPT account
• Clear purpose: what will you do with insights? (engage supporters, respond to criticism, find partners)
• Awareness of your organisation's AI and data protection policies

When to use this

• You want to understand conversations about your cause area but lack monitoring tools
• You're missing opportunities because you don't track social mentions
• You spend hours reading social media trying to spot patterns
• You need to identify sentiment trends or emerging issues

When not to use this

• Your cause area gets very few mentions - manual reading is easier
• You need real-time monitoring for crisis response - this is for retrospective analysis
• You're not prepared to act on insights - monitoring without response wastes effort
• You want automated data collection (this recipe is manual collection + AI analysis; automated pipelines are more complex)

Steps

1. 1

   Define what to monitor

   What conversations matter? Your organisation name, your cause area keywords (homelessness, youth mental health, food poverty), related policy terms, competitor organisations, key stakeholders. Create a list of search terms. Be specific enough to avoid noise (not just 'youth' - too broad) but broad enough to catch relevant conversations.

2. 2

   Search social platforms manually

   Weekly or monthly, search each platform: Twitter/X advanced search (keywords, date range - note: X now restricts search for non-paying users, so results may be limited), LinkedIn search (posts and articles), Facebook public groups related to your cause (you'll need to be a member for private groups), Instagram hashtags, news articles (Google News). Set up Google Alerts for your key terms as a free supplement. Copy mentions that seem relevant. You're collecting a batch to analyse, not trying to find everything.

3. 3

   Collect mentions in a spreadsheet

   Create simple spreadsheet: date, platform, text/summary, URL. Keep a separate column for original author/handle but DON'T paste this into AI tools. This gives you a record for follow-up while protecting privacy. Aim for 20-50 mentions per analysis session (enough for pattern spotting, not overwhelming).

4. 4

   Anonymise before pasting into AI

   Before pasting mentions into Claude or ChatGPT, remove usernames, handles, and any identifying information. You're analysing themes and sentiment, not tracking individuals. This protects privacy and keeps you GDPR-compliant. Keep the original spreadsheet with attribution so you can follow up on opportunities.

5. 5

   Ask AI to categorise by sentiment

   Paste your anonymised mentions into Claude or ChatGPT. Ask: 'Analyse these social media mentions about [your cause]. For each, identify: sentiment (positive/neutral/negative), main topic, any actionable opportunities or concerns. Then summarise: overall sentiment split, common themes, issues worth addressing.' Note: AI can sometimes misinterpret sarcasm or nuance - use this as a starting point, not a final judgement.

6. 6

   Identify themes and patterns

   Ask: 'What are the main topics being discussed? Group mentions into themes (funding, policy, service delivery, personal stories, criticism, etc.). Which themes appear most frequently? Are there emerging issues that weren't present last month?' Themes show you what conversations are happening.

7. 7

   Spot opportunities and risks

   Ask: 'Identify: potential partnership opportunities (organisations/individuals expressing interest), supporters we could engage with, criticism we should respond to, misinformation we should correct, policy changes affecting our work. Prioritise by importance.' Note: 'Priority' here means 'worth addressing this week' - this recipe is for retrospective analysis, not real-time crisis response.

8. 8

   Compare to previous periods

   If you've done this before, ask: 'Compare this month's mentions to last month. What's changed? Is sentiment improving or declining? Are new topics emerging? Is volume increasing?' Trends matter more than single snapshots. Track whether things are moving in the right direction.

9. 9

   Act on insights

   Turn analysis into action: engage with potential supporters identified, respond to criticism constructively, reach out to partnership opportunities, adjust messaging if themes show misunderstanding of your work. Don't just monitor - use insights to improve engagement, messaging, relationships. That's where value comes from.

10. 10

    Track over time(optional)

    Keep a simple log: month, overall sentiment %, main themes, actions taken. This shows whether your monitoring is useful (are you acting on it?) and whether trends are changing (sentiment improving? More mentions over time?). Regular monitoring builds a picture of how perceptions evolve.

Tools

Resources