A recent look at what makes a song stick in listeners' heads combines a 2014 museum survey, lists generated by AI tools like ChatGPT, Gemini and Microsoft Copilot, and the perspectives of veteran New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. While the museum study ranked tracks like the Spice Girls' "Wannabe" as the most recognizable, AI models produced overlapping but varied selections. DJs emphasize beat tempo, crowd vibe, and social media trends such as TikTok as key drivers of catchiness. Together, these viewpoints illustrate that earworms are shaped by rhythm, cultural context, and evolving listener habits. Leia mais →

A recent look at what makes a song stick in listeners' heads combines a 2014 museum survey, lists generated by AI tools like ChatGPT, Gemini and Microsoft Copilot, and the perspectives of veteran New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. While the museum study ranked tracks like the Spice Girls' "Wannabe" as the most recognizable, AI models produced overlapping but varied selections. DJs emphasize beat tempo, crowd vibe, and social media trends such as TikTok as key drivers of catchiness. Together, these viewpoints illustrate that earworms are shaped by rhythm, cultural context, and evolving listener habits. Leia mais →

A recent look at what makes a song stick in listeners' heads combines a 2014 museum survey, lists generated by AI tools like ChatGPT, Gemini and Microsoft Copilot, and the perspectives of veteran New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. While the museum study ranked tracks like the Spice Girls' "Wannabe" as the most recognizable, AI models produced overlapping but varied selections. DJs emphasize beat tempo, crowd vibe, and social media trends such as TikTok as key drivers of catchiness. Together, these viewpoints illustrate that earworms are shaped by rhythm, cultural context, and evolving listener habits. Leia mais →

A recent look at what makes a song stick in listeners' heads combines a 2014 museum survey, lists generated by AI tools like ChatGPT, Gemini and Microsoft Copilot, and the perspectives of veteran New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. While the museum study ranked tracks like the Spice Girls' "Wannabe" as the most recognizable, AI models produced overlapping but varied selections. DJs emphasize beat tempo, crowd vibe, and social media trends such as TikTok as key drivers of catchiness. Together, these viewpoints illustrate that earworms are shaped by rhythm, cultural context, and evolving listener habits. Leia mais →

A recent look at what makes a song stick in listeners' heads combines a 2014 museum survey, lists generated by AI tools like ChatGPT, Gemini and Microsoft Copilot, and the perspectives of veteran New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. While the museum study ranked tracks like the Spice Girls' "Wannabe" as the most recognizable, AI models produced overlapping but varied selections. DJs emphasize beat tempo, crowd vibe, and social media trends such as TikTok as key drivers of catchiness. Together, these viewpoints illustrate that earworms are shaped by rhythm, cultural context, and evolving listener habits. Leia mais →

Multiple sources, including AI chatbots and veteran DJs, discuss the qualities that define a catchy song. AI‑generated lists from ChatGPT, Gemini, and Microsoft Copilot highlight tracks like "Wannabe" by the Spice Girls, "Uptown Funk," and "Shape of You." DJs Mark Pomeroy and Sloan Lee share their on‑the‑floor experience, noting the importance of beats per minute, emotional connection, and social‑media trends such as TikTok. Across both AI and human perspectives, the consensus points to simple hooks, strong rhythms, and cultural relevance as key ingredients of ear‑worms that keep audiences moving. Leia mais →