1. Basic Definition of Listening Topics
A Listening Topic refers to a set of query configurations composed of keywords, filtering conditions, and logical rules, used to continuously track content related to a specific topic, brand, or phenomenon on social media and online platforms.
A Listening Topic typically includes the following elements:
Keyword groups: Such as brand names, product models, competitor names, industry terms, campaign hashtags, etc.
Filtering conditions: Such as language, country/region, platform type, time range, etc.
Logical rules: Boolean logic such as AND, OR, NOT, and NEAR can be used for combination to improve hit accuracy.
By setting up Listening Topics, you can:
Focus on the reputation changes or market performance of a specific brand.
Track public sentiment, promotions, or user feedback about competitors.
Monitor the communication effectiveness or user reviews of a product launch.
Identify hot trends or unexpected events in the industry.
Filter out irrelevant noise and focus on information strongly related to business objectives.
Each Listening Topic automatically captures public content on platforms and generates a data dashboard in the system, supporting further analytical operations such as sentiment analysis, trending keyword extraction, content tracing, and influence evaluation.
In simple terms, a Listening Topic is a set of automated tracking logic that helps transform scattered user voices into structured and actionable insight assets.
2. Topic Query Examples
Below are examples of common keyword combinations and query logic across different business scenarios:
Brand Monitoring Category
("Nike" OR "NikeOfficial" OR "#JustDoIt") AND language:"en"Purpose: Monitor natural discussions about Nike and the usage of the brand slogan in English contexts.
Product Launch Category: Track New Product Discussions and User Feedback
("iPhone 15" OR "iPhone XV") AND ("review" OR "unboxing" OR "problem" OR "camera")Purpose: Focus on user discussions on social media about the product's features, unboxing experience, and feedback after its release.
Competitor Comparison Category: Analyze How Users Compare Your Brand with Competitors
("Coca-Cola" AND "Pepsi") AND ("better" OR "vs" OR "compare")Purpose: Collect users’ opinions and preferences when comparing different beverage brands.
Crisis Early Warning Category: Identify Potential Negative or Sensitive Topics
("YourBrandName" OR "YourProductName") AND ("fail" OR "scam" OR "angry" OR "bad service")Purpose: Quickly detect when the brand is involved in negative sentiment or public opinion risks.
Industry Trend Category: Obtain Emerging Discussions or Trending Keywords in a Specific Field
("AI" OR "Generative AI" OR "LLM" OR "AIagent") AND ("future" OR "startup" OR "trend") AND lang:"en"Purpose: Analyze public opinion trends, cutting-edge topics, and investment directions related to generative AI.
Regional Market Category: Filter Local Market Feedback by Geography or Language
("Samsung" OR "Galaxy S23") AND country:"BR" AND language:"pt"Purpose: Track the discussion volume and user feedback about Samsung in the Brazilian market (Portuguese).