#datadriveninsights — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #datadriveninsights, aggregated by home.social.
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RT @timsoulo: KI-Suche hat ein Spam-Problem. → ChatGPT hat letzten Monat 80 spamartige Websites zitiert. Raten Sie mal, wie viele spamartige Sites (ohne Suchverkehr) Google in den AI Overviews zitiert hat? Null! Und es ist nicht nur ChatGPT: ▪️ Perplexity zitierte 33 Spam-Sites. ▪️ Copilot, ganze 122. Diese Zahlen stammen aus einer aktuellen Analyse von Glen Allsopp (@ViperChill ), der @Ahrefs’ Brand Radar nutzte, um die 1.000 meistzitierten Websites jeder Plattform in den vergangenen sechs Monaten zu untersuchen. Nun, null Suchverkehr (laut @Ahrefs’ Daten) macht eine Site nicht automatisch zu Spam. Also überprüfte Glen manuell hunderte Domains und viele davon waren ziemlich schlecht: - Falsche Autoren oder keine Autoren überhaupt - Tausende KI-generierte Artikel ohne offensichtliches Thema - E-Commerce-Stores, die mit 100.000+ zufälligen Produkten überfüllt sind Mit anderen Worten: KI-Chatbots leiden unter dem Spam-Problem, das Google vor Jahren gelöst hat. Aber es liegt nicht daran, dass sie es nicht lösen könnten. ChatGPT scheint klare Fortschritte zu machen, da die Anzahl der qualitativ minderwertigen Sites in den Zitaten jeden Monat sinkt (siehe angehängtes Diagramm). Andere scheinen derzeit nicht auf dem richtigen Weg zu sein, aber ich bin sicher, dass sie es schaffen werden. ... Die wichtigste Erkenntnis für Marketeter ist ganz einfach: Welche Lücken heute funktionieren, um mit qualitativ minderwertigen Spam-Sites in der KI-Suche zitiert zu werden, werden sehr bald nicht mehr funktionieren. Ich bin mir nicht sicher, ob KI-Chatbots Strafen für diejenigen einführen werden, die versu…
mehr auf Arint.info
#AISearch #ChatGPT #DataDrivenInsights #KIMarketing #SEO #SpamProblem #arint_info
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RT @timsoulo: KI-Suche hat ein Spam-Problem. → ChatGPT hat letzten Monat 80 spamartige Websites zitiert. Raten Sie mal, wie viele spamartige Sites (ohne Suchverkehr) Google in den AI Overviews zitiert hat? Null! Und es ist nicht nur ChatGPT: ▪️ Perplexity zitierte 33 Spam-Sites. ▪️ Copilot, ganze 122. Diese Zahlen stammen aus einer aktuellen Analyse von Glen Allsopp (@ViperChill ), der @Ahrefs’ Brand Radar nutzte, um die 1.000 meistzitierten Websites jeder Plattform in den vergangenen sechs Monaten zu untersuchen. Nun, null Suchverkehr (laut @Ahrefs’ Daten) macht eine Site nicht automatisch zu Spam. Also überprüfte Glen manuell hunderte Domains und viele davon waren ziemlich schlecht: - Falsche Autoren oder keine Autoren überhaupt - Tausende KI-generierte Artikel ohne offensichtliches Thema - E-Commerce-Stores, die mit 100.000+ zufälligen Produkten überfüllt sind Mit anderen Worten: KI-Chatbots leiden unter dem Spam-Problem, das Google vor Jahren gelöst hat. Aber es liegt nicht daran, dass sie es nicht lösen könnten. ChatGPT scheint klare Fortschritte zu machen, da die Anzahl der qualitativ minderwertigen Sites in den Zitaten jeden Monat sinkt (siehe angehängtes Diagramm). Andere scheinen derzeit nicht auf dem richtigen Weg zu sein, aber ich bin sicher, dass sie es schaffen werden. ... Die wichtigste Erkenntnis für Marketeter ist ganz einfach: Welche Lücken heute funktionieren, um mit qualitativ minderwertigen Spam-Sites in der KI-Suche zitiert zu werden, werden sehr bald nicht mehr funktionieren. Ich bin mir nicht sicher, ob KI-Chatbots Strafen für diejenigen einführen werden, die versu…
mehr auf Arint.info
#AISearch #ChatGPT #DataDrivenInsights #KIMarketing #SEO #SpamProblem #arint_info
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What Data Can Do for Market Research in 2026 | TagX
Discover how data is revolutionizing market research in 2026. From predictive analytics to real-time insights, learn how TagX empowers businesses to uncover trends, understand consumer behavior, and make smarter, data-driven decisions for competitive growth.https://www.tagxdata.com/what-data-can-do-for-market-research-in-2026-
#MarketResearch #DataDrivenInsights #PredictiveAnalytics #DataAnalytics
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What Data Can Do for Market Research in 2026 | TagX
Discover how data is revolutionizing market research in 2026. From predictive analytics to real-time insights, learn how TagX empowers businesses to uncover trends, understand consumer behavior, and make smarter, data-driven decisions for competitive growth.https://www.tagxdata.com/what-data-can-do-for-market-research-in-2026-
#MarketResearch #DataDrivenInsights #PredictiveAnalytics #DataAnalytics
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🔍 What is the impact of bioinformatics databases and tools developed by SIB groups?
Researchers around the world use them to make sense of their data and develop concrete applications. For example, Bgee was used to determine the toxicity of safrole in feed for 🐈, 🐐 and 🐑.
#Bioinformatics #SIBResourceImpacts #AnimalFeedSafety #SafroleToxicity #ScientificResearch #DataDrivenInsights #VeterinaryScience #LivestockHealth #ResearchInnovation
#AnimalWelfare -
🔍 What is the impact of bioinformatics databases and tools developed by SIB groups?
Researchers around the world use them to make sense of their data and develop concrete applications. For example, Bgee was used to determine the toxicity of safrole in feed for 🐈, 🐐 and 🐑.
#Bioinformatics #SIBResourceImpacts #AnimalFeedSafety #SafroleToxicity #ScientificResearch #DataDrivenInsights #VeterinaryScience #LivestockHealth #ResearchInnovation
#AnimalWelfare -
🔍 What is the impact of bioinformatics databases and tools developed by SIB groups?
Researchers around the world use them to make sense of their data and develop concrete applications. For example, Bgee was used to determine the toxicity of safrole in feed for 🐈, 🐐 and 🐑.
#Bioinformatics #SIBResourceImpacts #AnimalFeedSafety #SafroleToxicity #ScientificResearch #DataDrivenInsights #VeterinaryScience #LivestockHealth #ResearchInnovation
#AnimalWelfare -
🔍 What is the impact of bioinformatics databases and tools developed by SIB groups?
Researchers around the world use them to make sense of their data and develop concrete applications. For example, Bgee was used to determine the toxicity of safrole in feed for 🐈, 🐐 and 🐑.
#Bioinformatics #SIBResourceImpacts #AnimalFeedSafety #SafroleToxicity #ScientificResearch #DataDrivenInsights #VeterinaryScience #LivestockHealth #ResearchInnovation
#AnimalWelfare -
Unlocking the power of data for women's safety in public spaces. Watch the webinar recording featuring Ankita Kapoor (Safetipin) and Vaibhavi Rani Maske (Red Dot Foundation-Safecity). Discover actionable insights and solutions, from evaluating city practices to empowering communities. Data-driven initiatives can create safer, inclusive, and equitable environments for all.
#DataDrivenInsights #SafetyInitiatives #WebinarRecording #Video #Power #PublicTransport #Safety
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Unlocking the power of data for women's safety in public spaces. Watch the webinar recording featuring Ankita Kapoor (Safetipin) and Vaibhavi Rani Maske (Red Dot Foundation-Safecity). Discover actionable insights and solutions, from evaluating city practices to empowering communities. Data-driven initiatives can create safer, inclusive, and equitable environments for all.
#DataDrivenInsights #SafetyInitiatives #WebinarRecording #Video #Power #PublicTransport #Safety
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Attractive People Make Better Music? How Gender and Perceived Attractiveness Affect the Evaluation of Electronic Dance Music Artists
A recent study conducted by researchers employed a cognitive sociological perspective to assess the impact of a DJ's perceived attractiveness on the evaluation of music fragments, specifically electronic dance music (EDM). Using a survey experiment based on randomized vignettes, a sample of 2710 individuals from the US population was evaluated.
The study found that there was a strong positive relationship between the DJ's perceived attractiveness and the evaluation of the music. However, while this was true for both male and female DJs, male artists slightly benefited more from their looks. These results provide further evidence for the notion that non-musical traits about artists play a role in the evaluation of music.
The study provides a new insight into the relationship between a DJ's physical appearance and the evaluation of their music, challenging previously held perceptions and adding to the understanding of the complex processes involved in music evaluations.
https://journals.sagepub.com/doi/pdf/10.1177/02762374221118526
#EDM #DJAttractiveness #MusicEvaluations #CognitiveSociology #ElectronicDanceMusic #NonMusicalTraits #PerceivedAttractiveness #GenderImpact #SurveyExperiment #MusicLovers #ChallengingPerceptions #InsightfulFindings #MusicEvaluationProcesses #EDMRevolution
#Music #DanceMusic #DJS #AppearanceMatters #SocietyAndMusic #MusicIndustry #MusicTrends #MusicCulture #MusicStudies #ResearchFindings #DataDrivenInsights #InnovativeStudy #Trendsetters #MusicLifestyle -
Attractive People Make Better Music? How Gender and Perceived Attractiveness Affect the Evaluation of Electronic Dance Music Artists
A recent study conducted by researchers employed a cognitive sociological perspective to assess the impact of a DJ's perceived attractiveness on the evaluation of music fragments, specifically electronic dance music (EDM). Using a survey experiment based on randomized vignettes, a sample of 2710 individuals from the US population was evaluated.
The study found that there was a strong positive relationship between the DJ's perceived attractiveness and the evaluation of the music. However, while this was true for both male and female DJs, male artists slightly benefited more from their looks. These results provide further evidence for the notion that non-musical traits about artists play a role in the evaluation of music.
The study provides a new insight into the relationship between a DJ's physical appearance and the evaluation of their music, challenging previously held perceptions and adding to the understanding of the complex processes involved in music evaluations.
https://journals.sagepub.com/doi/pdf/10.1177/02762374221118526
#EDM #DJAttractiveness #MusicEvaluations #CognitiveSociology #ElectronicDanceMusic #NonMusicalTraits #PerceivedAttractiveness #GenderImpact #SurveyExperiment #MusicLovers #ChallengingPerceptions #InsightfulFindings #MusicEvaluationProcesses #EDMRevolution
#Music #DanceMusic #DJS #AppearanceMatters #SocietyAndMusic #MusicIndustry #MusicTrends #MusicCulture #MusicStudies #ResearchFindings #DataDrivenInsights #InnovativeStudy #Trendsetters #MusicLifestyle -
Attractive People Make Better Music? How Gender and Perceived Attractiveness Affect the Evaluation of Electronic Dance Music Artists
A recent study conducted by researchers employed a cognitive sociological perspective to assess the impact of a DJ's perceived attractiveness on the evaluation of music fragments, specifically electronic dance music (EDM). Using a survey experiment based on randomized vignettes, a sample of 2710 individuals from the US population was evaluated.
The study found that there was a strong positive relationship between the DJ's perceived attractiveness and the evaluation of the music. However, while this was true for both male and female DJs, male artists slightly benefited more from their looks. These results provide further evidence for the notion that non-musical traits about artists play a role in the evaluation of music.
The study provides a new insight into the relationship between a DJ's physical appearance and the evaluation of their music, challenging previously held perceptions and adding to the understanding of the complex processes involved in music evaluations.
https://journals.sagepub.com/doi/pdf/10.1177/02762374221118526
#EDM #DJAttractiveness #MusicEvaluations #CognitiveSociology #ElectronicDanceMusic #NonMusicalTraits #PerceivedAttractiveness #GenderImpact #SurveyExperiment #MusicLovers #ChallengingPerceptions #InsightfulFindings #MusicEvaluationProcesses #EDMRevolution
#Music #DanceMusic #DJS #AppearanceMatters #SocietyAndMusic #MusicIndustry #MusicTrends #MusicCulture #MusicStudies #ResearchFindings #DataDrivenInsights #InnovativeStudy #Trendsetters #MusicLifestyle