Media Sentiment Analysis
Media sentiment analysis for PR and communications teams. Measure news tone, public narrative, campaign impact, and reputation risk in executive-ready reports.
Understand whether media coverage is helping or hurting your brand. BigSentiment scores news and public commentary by tone, theme, urgency, and reputation impact.
What is media sentiment analysis?
Media sentiment analysis measures the emotional tone and narrative themes in news coverage, press mentions, and public commentary around a brand, campaign, executive, or issue. It helps communications teams move beyond clip counts and understand how coverage is likely to shape perception.
BigSentiment analyzes media tone alongside other public signals while keeping it separate from direct customer voice. That separation helps PR teams explain whether a narrative issue is media-driven, customer-driven, or happening across both layers.
Who uses media sentiment analysis
- PR leaders - Measure whether earned media improved, damaged, or stabilized perception
- Communications teams - Brief leadership on tone, themes, and emerging narrative risks
- Campaign teams - Track sentiment around launches, announcements, events, and public issues
- Crisis teams - Identify negative coverage clusters and escalation signals
How media sentiment analysis works
- Define the narrative - Configure brand terms, campaign terms, executive names, topics, competitors, and timeframes.
- Collect media and public context - Analyze relevant news, press mentions, Reddit threads, forums, and social discussion.
- Score coverage tone - AI classifies tone, theme, urgency, source type, and evidence quality for each item.
- Separate media from customer feedback - Media coverage and direct customer voice are reported as separate signal layers.
- Summarize for action - Reports show narrative direction, representative examples, caveats, and recommended response options.
Media sentiment data sources
Media sentiment reports can include news articles, press coverage, public social discussion, Reddit threads, forums, and review context where relevant.
Source counts and channel coverage notes are included so teams understand whether the sentiment read is broad, narrow, emerging, or limited.
Decisions media sentiment analysis supports
- Whether earned media is improving or damaging reputation
- Which messages or themes are shaping the narrative
- Whether media tone aligns with customer sentiment
- When a negative story needs executive attention
- Which competitor narratives are gaining traction
Why BigSentiment fits media sentiment reporting
- Narrative clarity - Reports explain tone and themes, not just coverage volume
- Layer separation - Media context is kept separate from customer feedback
- Briefing-ready format - Outputs are built for PR updates and executive summaries
- Risk-oriented alerts - Negative media clusters are flagged with response recommendations
Frequently asked questions
Is media sentiment analysis the same as media monitoring?
No. Media monitoring tracks coverage. Media sentiment analysis interprets the tone and themes in coverage so teams can understand reputation impact.
Can BigSentiment measure campaign media sentiment?
Yes. Teams can track campaign-specific terms, messages, competitors, and time windows.
Does BigSentiment include media outreach tools?
No. BigSentiment focuses on sentiment analysis and reporting, not journalist databases, pitching, or press release distribution.
Related BigSentiment pages
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