ATProto Browser

{
  "text": "Machine learning study of 1,700 economic seminars finds female speakers are interrupted earlier and more frequently than their male counterparts \non.ft.com/3HfIFRS",
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        "alt": "In one study, for example, machine learning techniques were used to study the audio recordings of more than 1,700 economic seminars. The analysis found that female speakers were interrupted more frequently and earlier than male speakers and that the extra interruptions largely stemmed from female, rather than male, audience members. The study also found men were more likely to make comments rather than ask questions of female presenters.",
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  "createdAt": "2025-05-20T06:22:30.502Z"
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