Social-listening research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
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Social, digital and behavioural intelligence
Digital evidence methods spanning social listening, review mining, search behaviour, clickstream, text analytics and passive data.
Cluster overview
Digital evidence methods spanning social listening, review mining, search behaviour, clickstream, text analytics and passive data.
What behaviour is visible in digital traces? How representative is that trace? What does it add beyond stated survey answers?
Social-sentiment tracking is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Read the full entry →Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
Read the full entry →Emotion analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Read the full entry →Topic modelling identifies recurring patterns of word co-occurrence to organise large text collections. Topics are statistical structures that require human interpretation, validation and sensitivity checks.
Read the full entry →Conversation-volume analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Read the full entry →Share of voice is a measure used within social, digital and behavioural intelligence to summarise a defined behaviour, perception or relationship. It becomes decision-useful only when the numerator, denominator, population, time window and interpretation are stated clearly.
Read the full entry →Share of engagement is a measure used within social, digital and behavioural intelligence to summarise a defined behaviour, perception or relationship. It becomes decision-useful only when the numerator, denominator, population, time window and interpretation are stated clearly.
Read the full entry →Digital brand health is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Read the full entry →Online reputation research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Read the full entry →Reputation-risk monitoring is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Read the full entry →Crisis detection is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Read the full entry →Influencer-network analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Community analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Hashtag analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Meme diffusion is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Viral-content analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Social-network analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Read the full entry →Social diffusion models is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Information cascades is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Echo chambers is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Polarisation analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Digital ethnography is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Netnography is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Online-community research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Review mining is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
App-review analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
E-commerce-review analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Customer-support text analytics is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Call-centre speech analytics is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Search-trend analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Search-query analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Clickstream analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Website-behaviour analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Funnel analytics is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Conversion research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Digital attribution is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Social attribution is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Cross-device behaviour is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Dark social is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Zero-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
First-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Second-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Third-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Data clean rooms is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Behavioural data versus stated data is a decision comparison between Behavioural data and stated data. The useful question is not which is universally better, but which approach fits the objective, evidence, population, timing and consequence of error.
Passive metering is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Mobile ethnography is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Geolocation-based research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Online panel quality is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Bot detection in surveys is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Fraud detection in digital research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
AI-generated survey responses is a measure used within social, digital and behavioural intelligence to summarise a defined behaviour, perception or relationship. It becomes decision-useful only when the numerator, denominator, population, time window and interpretation are stated clearly.
Deepfake respondents is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Synthetic respondents are model-generated representations that answer research tasks without being real recruited participants. They may support scenario exploration or instrument testing, but they cannot be assumed to reproduce lived experience, emerging behaviour or population truth.
Social data representativeness is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
Sarcasm detection is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
Read the full entry →Browse linked entries
Social-listening research
Social-listening research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Open entrySocial-sentiment tracking
Social-sentiment tracking is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySentiment analysis
Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
Open entryEmotion analysis
Emotion analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryTopic modelling
Topic modelling identifies recurring patterns of word co-occurrence to organise large text collections. Topics are statistical structures that require human interpretation, validation and sensitivity checks.
Open entryConversation-volume analysis
Conversation-volume analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryShare of voice
Share of voice is a measure used within social, digital and behavioural intelligence to summarise a defined behaviour, perception or relationship. It becomes decision-useful only when the numerator, denominator, population, time window and interpretation are stated clearly.
Open entryShare of engagement
Share of engagement is a measure used within social, digital and behavioural intelligence to summarise a defined behaviour, perception or relationship. It becomes decision-useful only when the numerator, denominator, population, time window and interpretation are stated clearly.
Open entryDigital brand health
Digital brand health is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryOnline reputation research
Online reputation research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Open entryReputation-risk monitoring
Reputation-risk monitoring is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryCrisis detection
Crisis detection is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryInfluencer-network analysis
Influencer-network analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryCommunity analysis
Community analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryHashtag analysis
Hashtag analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryMeme diffusion
Meme diffusion is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryViral-content analysis
Viral-content analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySocial-network analysis
Social-network analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySocial diffusion models
Social diffusion models is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryInformation cascades
Information cascades is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryEcho chambers
Echo chambers is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryPolarisation analysis
Polarisation analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryDigital ethnography
Digital ethnography is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryNetnography
Netnography is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryOnline-community research
Online-community research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Open entryReview mining
Review mining is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryApp-review analysis
App-review analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryE-commerce-review analysis
E-commerce-review analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryCustomer-support text analytics
Customer-support text analytics is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryCall-centre speech analytics
Call-centre speech analytics is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySearch-trend analysis
Search-trend analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySearch-query analysis
Search-query analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryClickstream analysis
Clickstream analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryWebsite-behaviour analysis
Website-behaviour analysis is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryFunnel analytics
Funnel analytics is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryConversion research
Conversion research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Open entryDigital attribution
Digital attribution is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySocial attribution
Social attribution is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryCross-device behaviour
Cross-device behaviour is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryDark social
Dark social is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryZero-party data
Zero-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryFirst-party data
First-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySecond-party data
Second-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryThird-party data
Third-party data is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryData clean rooms
Data clean rooms is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryBehavioural data versus stated data
Behavioural data versus stated data is a decision comparison between Behavioural data and stated data. The useful question is not which is universally better, but which approach fits the objective, evidence, population, timing and consequence of error.
Open entryPassive metering
Passive metering is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryMobile ethnography
Mobile ethnography is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryGeolocation-based research
Geolocation-based research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Open entryOnline panel quality
Online panel quality is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryBot detection in surveys
Bot detection in surveys is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryFraud detection in digital research
Fraud detection in digital research is a research approach within social, digital and behavioural intelligence used to reduce uncertainty around what behaviour is visible in digital traces? The design should connect the business question, target population, evidence source, analysis and decision rule.
Open entryAI-generated survey responses
AI-generated survey responses is a measure used within social, digital and behavioural intelligence to summarise a defined behaviour, perception or relationship. It becomes decision-useful only when the numerator, denominator, population, time window and interpretation are stated clearly.
Open entryDeepfake respondents
Deepfake respondents is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entrySynthetic respondents
Synthetic respondents are model-generated representations that answer research tasks without being real recruited participants. They may support scenario exploration or instrument testing, but they cannot be assumed to reproduce lived experience, emerging behaviour or population truth.
Open entrySocial data representativeness
Social data representativeness is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryBias in sentiment analysis
Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
Open entryMultilingual sentiment analysis
Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
Open entrySarcasm detection
Sarcasm detection is a concept within social, digital and behavioural intelligence that helps organise evidence around what behaviour is visible in digital traces? It should be defined operationally so different teams measure and interpret it consistently.
Open entryAspect-based sentiment analysis
Sentiment analysis classifies or scores expressed polarity in text. It is sensitive to domain language, sarcasm, multilingual context, sampling bias and the difference between online expression and population opinion.
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