Amazon is Fighting Fake Reviews with Artificial Intelligence
Alyson Wyers — July 6, 2015 — Tech
In an effort to weed out fake reviews, online retailer Amazon is utilizing artificial intelligence. This will ensure users read real, verified and truly helpful product reviews and combat inflated ratings. Previously star ratings were an average of all reviews, which gave fake reviews a lot of influence. In addition to implementing this new AI-based learning system, Amazon also sued several several alleged fake review websites earlier this year.
The artificially intelligent algorithm will work best over time, so immediate effects won't immediately be recognizable. The new system will not just be able to identify astroturfing (fake grassroots campaigns where marketers post fake and inflationary reviews or pay users to), but also differentiate between original products and updated models sold in the same listing.
Consumers often rely on customer reviews when it comes to online shopping. More accurate reviews will improve trust, especially among those who value and prioritize transparency.
The artificially intelligent algorithm will work best over time, so immediate effects won't immediately be recognizable. The new system will not just be able to identify astroturfing (fake grassroots campaigns where marketers post fake and inflationary reviews or pay users to), but also differentiate between original products and updated models sold in the same listing.
Consumers often rely on customer reviews when it comes to online shopping. More accurate reviews will improve trust, especially among those who value and prioritize transparency.
Trend Themes
1. Artificial Intelligence in Review Verification - The use of artificial intelligence in review verification can help combat fake reviews and ensure users read real, verified and helpful product reviews.
2. Identification of Astroturfing Campaigns - The implementation of AI-based learning systems can identify astroturfing campaigns, preventing marketers from posting fake and inflationary reviews or paying users to do so.
3. Differentiation of Original and Updated Products - The use of AI can differentiate between original products and updated models sold in the same listing, providing users with more accurate information for making purchase decisions.
Industry Implications
1. E-commerce - The adoption of AI-based review verification systems presents disruption opportunities in the e-commerce industry for platforms looking to enhance trust and credibility among consumers.
2. Online Retail - Online retailers can leverage AI technology to combat fake reviews, ensuring users have access to reliable and accurate product information, thereby enhancing the customer experience.
3. Marketing and Advertising - The shift towards AI-powered review verification creates an opportunity for marketers and advertisers to focus on authentic and transparent brand communication, increasing consumer trust and loyalty.
2.3
Score
Popularity
Activity
Freshness
