FakereviewdetectionReputationmanagementVerifiedBuyersSocialProofUser-generatedcontent(UGC)TrustworthinessRecencyeffectInformationasymmetryElectronicword-of-mouth(eWOM)ConsumerconfidenceHeuristicprocessingTransparencyPurchaseintentionBiasdetectionConversionrateBrandreputationNormativeinfluenceDecision-makingprocessReviewvolumePlatformreliabilityCredibilitySentimentanalysisPost-purchaseevaluationAnonymousreviewersInformationalinfluencePerceivedriskReviewerexpertiseDiagnosticinformationStar-ratingsystemReviewValencePurchaseBehaviorFakereviewdetectionReputationmanagementVerifiedBuyersSocialProofUser-generatedcontent(UGC)TrustworthinessRecencyeffectInformationasymmetryElectronicword-of-mouth(eWOM)ConsumerconfidenceHeuristicprocessingTransparencyPurchaseintentionBiasdetectionConversionrateBrandreputationNormativeinfluenceDecision-makingprocessReviewvolumePlatformreliabilityCredibilitySentimentanalysisPost-purchaseevaluationAnonymousreviewersInformationalinfluencePerceivedriskReviewerexpertiseDiagnosticinformationStar-ratingsystemReviewValencePurchaseBehavior

Trust in online reviews - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. Fake review detection
  2. Reputation management
  3. Verified Buyers
  4. Social Proof
  5. User-generated content (UGC)
  6. Trustworthiness
  7. Recency effect
  8. Information asymmetry
  9. Electronic word-of-mouth (eWOM)
  10. Consumer confidence
  11. Heuristic processing
  12. Transparency
  13. Purchase intention
  14. Bias detection
  15. Conversion rate
  16. Brand reputation
  17. Normative influence
  18. Decision-making process
  19. Review volume
  20. Platform reliability
  21. Credibility
  22. Sentiment analysis
  23. Post-purchase evaluation
  24. Anonymous reviewers
  25. Informational influence
  26. Perceived risk
  27. Reviewer expertise
  28. Diagnostic information
  29. Star-rating system
  30. Review Valence
  31. Purchase Behavior