AI 中文总结
研究广播新闻和脱口秀电台的性别差距，用VANPY框架分析74个电台超1400小时录音，发现男性在发言时间和主题参与上占主导，通勤时段性别差距明显，且VANPY可用于多音频领域，为分析大规模音频数据提供系统方法。
AI 中文摘要
广播仍是主要传播媒介，每周覆盖82%的12岁及以上美国人。鉴于其广泛影响，广播新闻和脱口秀电台中的性别呈现可能影响社会文化认知。本研究聚焦广播中性别呈现模式，考察总发言时间、全天播出时间分配及跨广播主题参与的性别差异。数据集含74个美国新闻和脱口秀电台的过滤录音，共超1400小时内容。用VANPY框架分析数据，该框架结合多通道录音与基于人工智能的说话人分离、性别分类、语音转文本转录及主题分析。结果显示播出时间分配存在性别差异，男性占总发言时间的77%。通勤时段差距明显，女性每小时约7.5 - 9.5分钟，男性约30.6 - 32.9分钟。主题分析表明男性在所有内容类别中占主导。“脱口秀片段”中女性占比最低，仅10.8%，“娱乐新闻”中最高，也仅35.8%。此外，VANPY公开可用，为分析大规模音频数据提供系统方法，可用于多种音频领域。
英文摘要
Radio broadcasting remains a dominant medium of communication, reaching 82% of Americans ages 12 and older weekly. Given its broad media impact, gender representation on radio news and talk stations may play an important role in shaping social and cultural perceptions. In this study, we examined patterns of gender representation in radio broadcasts, focusing on gender-based differences in total speaking time, air-time allocation across the day, and participation across broadcast topics. The dataset comprises filtered recordings from 74 US news and talk radio stations, collected over a 24-hour period and yielding more than 1,400 hours of content. We analyzed the data using VANPY, an in-house voice-analysis framework that combines multi-channel radio recording with AI-based speaker diarization, gender classification, speech-to-text transcription, and topic analysis. The results revealed consistent gender differences in allocated broadcast time, with male speakers accounting for 77% of total speaking time (SD = 6.8%). This gap remained evident during commute periods, when female speaking time was approximately 7.5-9.5 minutes per hour, compared with approximately 30.6-32.9 minutes for male speakers. Topic analysis further showed male dominance across all examined content categories. Female representation was lowest in "Talk Show Segments", where women accounted for only 10.8% of speaking time. Even in "Entertainment News", where female representation was highest, women accounted for only 35.8% of speaking time. Beyond these findings on gender dynamics in broadcast media, VANPY is publicly available and provides a systematic approach for analyzing large-scale audio data. It can be applied not only to radio broadcasts, but also to other audio domains such as human-computer interaction, corporate communication, and security applications.
