{"id":1656,"date":"2023-06-13T20:34:46","date_gmt":"2023-06-13T20:34:46","guid":{"rendered":"https:\/\/dailyai.com\/?p=1656"},"modified":"2023-06-13T22:21:26","modified_gmt":"2023-06-13T22:21:26","slug":"amazon-ramps-up-ai-crackdown-on-fake-reviews","status":"publish","type":"post","link":"https:\/\/dailyai.com\/fr\/2023\/06\/amazon-ramps-up-ai-crackdown-on-fake-reviews\/","title":{"rendered":"Amazon intensifie la lutte contre les faux avis gr\u00e2ce \u00e0 l'IA"},"content":{"rendered":"

Amazon a d\u00e9clar\u00e9 utiliser des outils d'intelligence artificielle de plus en plus sophistiqu\u00e9s pour lutter contre les faux avis et les commentaires non authentiques sur sa place de march\u00e9.\u00a0<\/strong><\/p>\n

La premi\u00e8re place de march\u00e9 mondiale pour le commerce \u00e9lectronique se bat depuis de nombreuses ann\u00e9es contre les faux courtiers d'\u00e9valuation, ce qui a r\u00e9cemment abouti \u00e0 une action en justice contre NiceRebate.com, un faux courtier d'\u00e9valuation ciblant les clients britanniques. <\/span><\/p>\n

Dharmesh Mehta, responsable de l'\u00e9quipe charg\u00e9e de la confiance des clients chez Amazon, a d\u00e9clar\u00e9 : \"Nous luttons \u00e9nergiquement contre les courtiers en \u00e9valuation\" et a r\u00e9v\u00e9l\u00e9 qu'Amazon avait engag\u00e9 des poursuites judiciaires \u00e0 l'encontre de 94 fraudeurs \u00e0 l'examen dans le monde<\/a>y compris aux \u00c9tats-Unis, en Chine et en Europe.<\/span><\/p>\n

En 2022, Fakespot, un outil con\u00e7u pour d\u00e9tecter les faux avis, a analys\u00e9 720 millions d'avis et a estim\u00e9 que certains d'entre eux \u00e9taient des faux avis. <\/span>42% \u00e9taient des contrefa\u00e7ons<\/span><\/a> d'une mani\u00e8re ou d'une autre.\u00a0<\/span><\/p>\n

Presque tous ceux qui ont \u00e9tudi\u00e9 les avis sur Amazon sont probablement tomb\u00e9s sur des avis suspects qui semblent intuitivement faux. De nombreux avis sont des recommandations r\u00e9mun\u00e9r\u00e9es visant \u00e0 am\u00e9liorer l'\u00e9valuation d'un vendeur ou \u00e0 saboter une entreprise rivale.\u00a0<\/span><\/p>\n

Amazon investit dans des mod\u00e8les d'apprentissage automatique (IA) capables d'analyser des milliers de points de donn\u00e9es pour aider \u00e0 identifier les critiques frauduleuses. Le mod\u00e8le d'IA \u00e9value diff\u00e9rents facteurs pour d\u00e9terminer la probabilit\u00e9 qu'un avis soit faux, tels que la relation de l'auteur avec d'autres comptes en ligne, l'activit\u00e9 de connexion, l'historique des avis et un comportement inhabituel.<\/span><\/p>\n

Amazon poursuit \u00e9galement les groupes de m\u00e9dias sociaux cr\u00e9\u00e9s pour \u00e9changer des avis. En 2022, Amazon a identifi\u00e9 plus de 23 000 groupes de m\u00e9dias sociaux, comprenant plus de 46 millions de membres impliqu\u00e9s dans la facilitation de faux avis.<\/span><\/p>\n

De nombreux projets de recherche ont \u00e9t\u00e9 men\u00e9s pour d\u00e9manteler les faux avis \u00e0 l'aide de techniques d'IA de traitement du langage naturel (NLP).<\/span><\/p>\n

Par exemple, <\/span>une \u00e9tude en 2022<\/span><\/a> a utilis\u00e9 GPT-2 pour former un classificateur de fausses critiques dont les performances sont sup\u00e9rieures \u00e0 celles des humains.\u00a0<\/span><\/p>\n

M. Mehta a d\u00e9clar\u00e9 : \"Nous utilisons l'apprentissage automatique pour rechercher les comptes suspects, pour suivre les relations entre un compte d'achat qui laisse un avis et quelqu'un qui vend ce produit. Gr\u00e2ce \u00e0 la combinaison d'un contr\u00f4le m\u00e9ticuleux, d'un apprentissage automatique avanc\u00e9 et de l'intelligence artificielle, nous pouvons emp\u00eacher les faux avis d'atteindre le client.\"<\/span><\/p>\n

Comment l'IA d\u00e9tecte-t-elle les faux avis ?<\/span><\/h2>\n

Si vous avez d\u00e9j\u00e0 lu une critique et pens\u00e9 \"\u00e7a a l'air faux\", cela prouve plus ou moins que l'IA peut faire la m\u00eame chose. Il existe des signaux et des indices que vous percevez, et l'IA peut \u00e9galement les apprendre.\u00a0<\/span><\/p>\n

Les IA peuvent utiliser le NLP pour examiner des facteurs tels qu'une ponctuation excessive, une mauvaise grammaire et des tons trop n\u00e9gatifs ou positifs, ce que l'on appelle \u00e9galement l'analyse du sentiment. Cependant, la d\u00e9tection des faux avis ne se limite pas \u00e0 cela, et si Amazon ne d\u00e9finit pas de crit\u00e8res stricts, il risque de supprimer des avis authentiques.<\/span><\/p>\n

D'autres m\u00e9thodes consistent \u00e0 analyser les types de produits qui font l'objet de faux avis, le moment o\u00f9 les faux avis sont laiss\u00e9s et si les avis g\u00e9n\u00e9riques \u00e0 5 \u00e9toiles proviennent du m\u00eame compte.\u00a0<\/span><\/p>\n

Bien entendu, personne n'est mieux plac\u00e9 qu'Amazon pour analyser ces donn\u00e9es, ce qui soul\u00e8ve la question suivante : pourquoi le probl\u00e8me est-il aussi important (ou plus important) que jamais ?<\/span><\/p>\n

M\u00eame si Amazon souhaite renforcer la confiance en supprimant les faux avis, le maintien d'un grand nombre d'avis sur les sites Web de l'entreprise n'est pas une bonne chose. <\/span>tous <\/span><\/i>est dans leur int\u00e9r\u00eat. <\/span><\/p>\n

En tant que Saoud Khalifah de Fakespot dit<\/a>Si Amazon supprimait 100 % des faux avis, elle perdrait des centaines de milliards de dollars en valeur actionnariale.<\/span><\/p>","protected":false},"excerpt":{"rendered":"

Amazon a d\u00e9clar\u00e9 utiliser des outils d'intelligence artificielle de plus en plus sophistiqu\u00e9s pour lutter contre les faux avis et les commentaires non authentiques sur sa place de march\u00e9. Le leader mondial du commerce \u00e9lectronique lutte depuis de nombreuses ann\u00e9es contre les faux courtiers en avis, ce qui a r\u00e9cemment abouti \u00e0 une action en justice contre NiceRebate.com, un faux courtier en avis ciblant les clients britanniques. Dharmesh Mehta, responsable de l'\u00e9quipe charg\u00e9e de la confiance des clients chez Amazon, a d\u00e9clar\u00e9 : \"Nous luttons \u00e9nergiquement contre les courtiers en \u00e9valuations\" et a r\u00e9v\u00e9l\u00e9 qu'Amazon avait engag\u00e9 des poursuites contre 94 fraudeurs en \u00e9valuations dans le monde entier, notamment aux \u00c9tats-Unis, en Chine et en Europe. En 2022, Fakespot, un outil con\u00e7u pour d\u00e9tecter les faux avis, a analys\u00e9 720 millions d'avis et estim\u00e9 que<\/p>","protected":false},"author":2,"featured_media":1657,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[88],"tags":[141,142,143,144],"class_list":["post-1656","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ethics","tag-amazon","tag-content-moderation","tag-natural-language-processing","tag-nlp"],"yoast_head":"\nAmazon ramps up AI crackdown on fake reviews | DailyAI<\/title>\n<meta name=\"description\" content=\"Amazon has declared it's utilizing increasingly sophisticated AI tools to combat counterfeit reviews and non-authentic comments on its marketplace.\u00a0\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" 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