A blend of AI analysis, museum research and veteran DJs reveals why certain songs stick in listeners' heads. ChatGPT, Gemini and Copilot highlight hooks, simple melodies and tempo as key factors. A 2014 museum study ranks "Wannabe" and "Mambo No. 5" among the quickest‑recognised tracks. New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee stress emotional connection, beats‑per‑minute and social‑media trends. Together, these perspectives show that catchiness is a mix of musical structure, cultural moments and audience energy. Leer más →

A recent look at what makes a song stick in listeners’ heads pulls together a museum’s recognition study, the song lists of AI chatbots like ChatGPT, Gemini and Copilot, and the on‑the‑ground insights of New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. The museum survey ranked pop hits by how quickly people identified them, while AI models produced overlapping but varied top‑ten lists. DJs, seasoned in live events, stress emotional connection, beats per minute and TikTok trends as key drivers of catchiness. Together, these perspectives map a shifting but recognizable set of earworms that span decades and genres. Leer más →

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. Leer más →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Leer más →

A recent look at what makes a song stick in listeners’ heads pulls together a museum’s recognition study, the song lists of AI chatbots like ChatGPT, Gemini and Copilot, and the on‑the‑ground insights of New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. The museum survey ranked pop hits by how quickly people identified them, while AI models produced overlapping but varied top‑ten lists. DJs, seasoned in live events, stress emotional connection, beats per minute and TikTok trends as key drivers of catchiness. Together, these perspectives map a shifting but recognizable set of earworms that span decades and genres. Leer más →

A recent look at what makes a song stick in listeners’ heads pulls together a museum’s recognition study, the song lists of AI chatbots like ChatGPT, Gemini and Copilot, and the on‑the‑ground insights of New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. The museum survey ranked pop hits by how quickly people identified them, while AI models produced overlapping but varied top‑ten lists. DJs, seasoned in live events, stress emotional connection, beats per minute and TikTok trends as key drivers of catchiness. Together, these perspectives map a shifting but recognizable set of earworms that span decades and genres. Leer más →

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. Leer más →

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. Leer más →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Leer más →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Leer más →

A recent look at what makes a song stick in listeners’ heads pulls together a museum’s recognition study, the song lists of AI chatbots like ChatGPT, Gemini and Copilot, and the on‑the‑ground insights of New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. The museum survey ranked pop hits by how quickly people identified them, while AI models produced overlapping but varied top‑ten lists. DJs, seasoned in live events, stress emotional connection, beats per minute and TikTok trends as key drivers of catchiness. Together, these perspectives map a shifting but recognizable set of earworms that span decades and genres. Leer más →

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. Leer más →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Leer más →

A recent look at the factors that make a song stick in listeners' heads combines three perspectives: a 2014 museum survey that identified the most quickly recognized tracks, AI models such as ChatGPT, Gemini and Copilot that list their own "catchiest" songs and professional DJs from New Jersey and Atlanta who share real‑world criteria. The AI answers point to simple melodies, strong beats and tempos that match natural rhythms, while DJs emphasize emotional connection, beats per minute and cultural trends like TikTok. Together these sources reveal a shifting but recognizable set of constants behind ear‑worms. Leer más →

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. Leer más →

A recent look at what makes a song stick in listeners’ heads pulls together a museum’s recognition study, the song lists of AI chatbots like ChatGPT, Gemini and Copilot, and the on‑the‑ground insights of New Jersey DJ Mark Pomeroy and Atlanta DJ Sloan Lee. The museum survey ranked pop hits by how quickly people identified them, while AI models produced overlapping but varied top‑ten lists. DJs, seasoned in live events, stress emotional connection, beats per minute and TikTok trends as key drivers of catchiness. Together, these perspectives map a shifting but recognizable set of earworms that span decades and genres. Leer más →