# Filters & Views > Use filters in Kommon Poll to refine dashboard data based on content, audience attributes, platforms, sentiment, and timeframe. > Narrow dashboard and mention data by timeframe, platform, content, author, audience, tags, topics, intent, reach, and priority. Filters are the main way to turn a large result set into a specific answer. They update the dashboard context so charts, KPI tiles, Mentions, analytics tabs, and Kommon Poll AI prompts can focus on the same subset of data. Use filters when the question is about a segment of the data. Use the query builder when the question is about what Kommon Poll should collect in the first place. --- ## 1. Open Filters 1. Open a saved search, team saved search, full search history item, or Quick Search result. 2. Click **Filters** in the result toolbar. 3. Choose the filter categories you need. 4. Apply the filters. 5. Review the updated charts and mentions. The active filter context affects the story you see. If you export, share, or ask Kommon Poll AI while filters are active, make sure the filtered context is the one you intend to use. --- ## 2. Date Range Date filters define the period being analyzed. Use date range filters to: - Compare campaign launch windows. - Review crisis activity during a specific incident. - Build weekly or monthly reports. - Remove old results from a live investigation. How to use it: 1. Open **Date Range**. 2. Choose a preset range or select a custom start and end date. 3. Apply the filter. 4. Check the trend charts after applying, because spikes and totals will change. If a trend chart also has 1D, 1W, 1M, 1Q, or 1Y buttons, those buttons change the chart aggregation, not the underlying date range. --- ## 3. Sentiment Sentiment filters isolate mentions by detected tone. Common values include: - **Positive** for praise, satisfaction, support, or favorable reactions. - **Neutral** for factual, unclear, or balanced mentions. - **Negative** for complaints, criticism, risk, frustration, or unfavorable reactions. How to use it: 1. Open **Sentiment**. 2. Select one or more sentiment values. 3. Apply the filter. 4. Review both the charts and the mention cards to confirm the classification makes sense. Use sentiment filters carefully for sarcasm, mixed-language content, and short comments. For important decisions, read example mentions instead of relying only on totals. --- ## 4. AI Filter The AI filter helps improve result relevance when the available control is enabled. Use it to: - Reduce irrelevant mentions. - Improve contextual matching. - Focus analysis on content that better matches the saved search intent. Because AI filtering can change which records are included, use it consistently when comparing two time periods or preparing recurring reports. --- ## 5. Sources And Platforms Source filters narrow results to specific platforms or source types. Examples include: - Facebook - Instagram - X/Twitter - YouTube - Reddit - News - Web - Blogs - Forums - Reviews How to use it: 1. Open **Select Sources**. 2. Choose the platform or source types you want. 3. Apply the filter. 4. Compare KPI tiles and platform charts before and after filtering. This is useful when one platform is dominating the conversation and hiding patterns elsewhere. --- ## 6. Authors Author filters focus on specific users, pages, creators, journalists, influencers, or publishers. Use author filters to: - Track a key influencer's contribution. - Review mentions from a known critic or journalist. - Investigate a customer support issue. - Remove noisy accounts from an analysis. How to use it: 1. Open **Authors**. 2. Search or select the author names available in the result set. 3. Apply the filter. 4. Review the Mentions tab for context. If an author is missing, the current result set may not contain that author or the platform may not expose author metadata consistently. --- ## 7. Domains Domain filters focus on the website or source domain where mentions appeared. Use domain filters for: - News outlet analysis. - Blog and review site tracking. - Publisher-specific PR monitoring. - Separating social content from web articles. How to use it: 1. Open **Domain**. 2. Select one or more domains. 3. Apply the filter. 4. Use Mention Analysis charts, such as Mentions by Domain, to compare domain-level volume. --- ## 8. Mention Type Mention Type separates posts from comments where the data source supports it. Use it to answer questions such as: - Are people creating original posts, or mostly responding in comments? - Is a spike caused by one viral post or by many replies? - Should the team respond publicly or monitor the comment thread? How to use it: 1. Open **Mention Type**. 2. Choose **Posts**, **Comments**, or another available type. 3. Apply the filter. 4. Review the Mentions feed and post type charts. --- ## 9. Location And Language Location and language filters include: - **Countries** - detected or inferred country. - **Languages** - detected language of the mention. - **Nationalities** - detected nationality attribute where available. Use these filters to: - Prepare country-specific reports. - Compare regions during a campaign. - Isolate language-specific complaints. - Support localization decisions. Detected location and demographic fields are not always available for every mention. Missing values usually mean the source did not provide enough information or the model could not infer it reliably. --- ## 10. Business Vs Individuals This filter separates organization-style accounts from individual users where classification is available. Use it to: - Compare institutional coverage against consumer conversation. - Focus on official pages, media, companies, or organizations. - Remove individual chatter when preparing corporate landscape reports. --- ## 11. Demographic Filters Demographic filters can include: - Age group - Gender - Education - Income Use these filters to understand who appears to be participating in the conversation. Treat demographic data as analytical estimates, not guaranteed personal facts. Good uses: - Comparing campaign response by audience segment. - Finding which groups show higher negativity. - Checking whether the conversation matches the intended audience. Avoid using demographic filters for sensitive individual-level decisions. --- ## 12. Tags Tags are labels users apply to mentions. Use tag filters to: - Review mentions already marked for a campaign, incident, complaint type, or report. - Find mentions added by another team member. - Build a curated list for follow-up. How to use it: 1. Add tags from mention cards when reviewing results. 2. Open **Tags** in Filters. 3. Select the tag. 4. Apply the filter. Tags are especially useful with **Add to Report**, because they help you curate examples before exporting. --- ## 13. Hashtags Hashtag filters isolate mentions containing selected hashtags. Use them to: - Track campaign hashtags. - Compare official and organic hashtags. - Investigate viral hashtag movement. - Separate branded hashtags from competitor or activist hashtags. After filtering by hashtag, review Hashtag Analysis for mentions vs influence, hashtag trends, platform filters, and table column toggles. --- ## 14. Subtopics And Intents Subtopics describe what the mention is about. Intents describe what the author appears to be trying to do. Examples of intents can include: - Complaint - Inquiry - Appreciation - Recommendation - Comparison - Purchase interest - Support request Use these filters to: - Separate complaints from general discussion. - Find posts that need customer response. - Identify conversion or product interest signals. - Build topic-specific reports. --- ## 15. Reach Reach filters focus on mentions with a potential audience size inside a chosen range. Use reach filters to: - Surface high-impact posts. - Exclude low-reach noise. - Investigate whether a spike was broad or driven by a few large accounts. Reach is an estimate. Always review the mention and author before escalating based only on reach. --- ## 16. Priority Priority filters help teams focus on mentions marked as important. Use priority filtering for: - Crisis monitoring. - Executive escalations. - Critical customer complaints. - Scam, fraud, or brand-safety concerns. - High-value media or influencer posts. Priority can appear as a badge on mention cards. Use the filter to isolate those records for review or reporting. --- ## 17. Recommended Filter Workflows For a crisis review: 1. Set the incident date range. 2. Filter sentiment to negative. 3. Filter by high reach or priority. 4. Open the Mentions tab. 5. Tag confirmed examples. 6. Ask Kommon Poll AI to summarize the filtered context. 7. Export or share only after checking examples manually. For campaign reporting: 1. Set the campaign date range. 2. Filter by campaign hashtags or topics. 3. Compare platforms and demographics. 4. Review top authors and top mentions. 5. Export PDF or Slides using the saved report format. For customer issue triage: 1. Filter by negative sentiment. 2. Filter by intent such as complaint or inquiry. 3. Filter by comments if needed. 4. Use mention actions such as Reply, Generate Response, Send, Add Tag, or Add to Report where supported. --- ## 18. Resetting And Comparing When the result set looks too narrow: 1. Remove the most restrictive filter first. 2. Check whether the date range is too short. 3. Clear author, domain, hashtag, or priority filters if they were used. 4. Re-run the search or reopen the saved search if needed. When comparing two analyses, keep the query, date range, filters, and chart aggregation consistent. Otherwise the comparison may reflect different data scopes rather than a real business change.