[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"doc-detail-85668-en":3,"doc-seo-85668-105":29,"detail-sidebar-cat-0-en-105":90},{"code":4,"msg":5,"data":6},0,"success",{"doc_id":7,"user_id":8,"nickname":9,"user_avatar":10,"doc_module":4,"category_id":11,"category_name":12,"doc_title":13,"doc_description":14,"doc_content":15,"file_id":16,"file_url":17,"file_type":18,"file_size":19,"view_count":4,"is_deleted":4,"is_public":20,"is_downloadable":20,"audit_status":20,"page_count":21,"language":22,"language_code":23,"site_id":24,"html_lang":23,"table_of_contents":25,"faqs":26,"seo_title":13,"seo_description":14,"update_tm":27,"read_time":28},85668,549758252649,"Ivy","https://ap-avatar.wpscdn.com/avatar/8000253669c5317157?_k=1778319167496531819",8,"Research & Report","Gender Gap Analysis in News and Talk Online Radio Broadcast","Radio broadcasting remains a dominant communication medium, with broad weekly reach among U.S. adults aged 12+. Because gender representation in radio news and talk stations can shape social and cultural perceptions, the study analyzes gender patterns in broadcasts. Using 74 U.S. news and talk stations (1,400+ hours) and the VANPY framework for diarization, gender classification, and topic analysis, the results quantify time-allocation disparities and topic-dependent participation gaps.","arXiv :2607 .09675v 1 [ cs .CY] 6 Jun 2026  \nGender Gap Analysis in News and Talk Online Radio Broadcast  \nGregory Koushnir∗1, Michael Fire†1, Dima Kagan‡1, and Galit Fuhrmann Alpert§1  \n1 Faculty of Computer and Information Science, Ben-Gurion University of the Negev, Israel  \nJuly 14, 2026  \nAbstract  \nRadio broadcasting remains a dominant medium of communication, reaching 82% of Americans, ages  \n12 and older, weekly. Given its massive media impact, gender representation on radio news and talk stations plays a substantial role in shaping social and cultural perceptions. In this study we explored patterns of gender representation in radio broadcasts. Specifically, we focused on gender-based differences in total speaker allotted duration, air-time allocation at different times of day, and biases in gender participation across different broadcast topics.  \nOur data set comprises filtered recordings from 74 US news and talk radio stations, collected over a period of 24 hours, yielding more than 1,400 hours of content. We applied on the data the VANPY analysis framework, an in-house comprehensive methodology that we developed to combine multi-channel radio recording with advanced AI processing for speaker diarization, gender classification, and topic analysis.  \nOur results revealed consistant gender differences in the allocated broadcast time, with male speakers dominating 77%(SD = 6.8%) of the total speaking time. This gender gap was even more prominent during peak broadcast times, with female representation remained approximately 7.5-9.5 minutes per hour during commute times, compared to approximately 30.6-32.9 minutes for male speakers. Gender differences were further demonstrated by topic analysis, using NLP-based classification of transcribed content. Female speaker representation was lowest in ”Talk Show Segments”, where women accounted for only 10 .8% of speaking time. Even within ”Entertainment News” broadcasts, where female representation was highest compared to all other topics, they were only allocated as 35 .8% of speaking time.  \nIn addition to the important insights revealed in this study on gender dynamics in broadcast media, our in-house developed VANPY framework is publicly available and provides a general and systematic applicable approach for the analysis of extensive audio data. VANPY could be used to explore speaker characteristics not only in radio broadcasts, but also in multiple other fields such as human-computer interaction, corporate communications, and security applications.  \n1 Introduction  \nRadio broadcasting has been a significant medium of communication for more than a century, serving as an approachable platform for the immediate consumption of news, music, and various forms of entertainment. Radio broadcasts provide a wealth of rich and dynamic content, reflecting a wide range of socio-cultural dynamics, news, entertainment, and advertising [1, 2] . As such, they play a critical role in the dissemination of information and shaping public opinion [3] . Recent data confirms that radio continues to be dominant in audio consumption. In the United States, radio accounted for 64% of daily ad-supported audio time in Q2 2025, compared with 19% for podcasts, and 14% for streaming audio services, and 3% for satellite radio [4] . In the United States alone, according to 2023 reporting, radio content reaches approximately 82% of adults weekly, having access to a variety of more than 15,400 stations [5] . A study from 2022 by Laor [6] reported that on-demand radio has successfully adapted to modern consumption patterns, with 76.5% of  \n∗ [koushgre@post.bgu.ac.il](koushgre@post.bgu.ac.il)[ ](koushgre@post.bgu.ac.il)†[mickyfi@post.bgu.ac.il](mickyfi@post.bgu.ac.il)[ ](mickyfi@post.bgu.ac.il)‡[kagandi@post.bgu.ac.il](kagandi@post.bgu.ac.il)  \n§ [fuhrmann@bgu.ac.il](fuhrmann@bgu.ac.il)  \nquestionnaire responders listen to online radio at least once weekly and about 60% consume radio content on demand, accessin","cbCaiq3rXsQtZ1zN","https://ap.wps.com/l/cbCaiq3rXsQtZ1zN","pdf",3789070,1,19,"English","en",105,"# Abstract\n# Introduction","[{\"question\":\"What gender-related aspects of radio broadcasts does the study examine?\",\"answer\":\"The study focuses on gender differences in total allotted speaking duration, air-time allocation across times of day, and biases in gender participation across broadcast topics.\"},{\"question\":\"What data and methodology are used to analyze the broadcasts?\",\"answer\":\"Filtered recordings from 74 U.S. news and talk radio stations are collected over 24 hours, totaling more than 1,400 hours. The VANPY framework is applied for speaker diarization, gender classification, and NLP-based topic analysis.\"},{\"question\":\"What are the main findings about gender gaps in speaking time?\",\"answer\":\"Male speakers dominate the total speaking time at 77% (SD = 6.8%), with the gap becoming more pronounced during peak commute times. Female representation is lowest in “Talk Show Segments” (10.8% of speaking time) and remains limited even in “Entertainment News” (35.8% speaking time).\"}]",1784205488,48,{"code":4,"msg":30,"data":31},"ok",{"site_id":24,"language":23,"slug":32,"title":13,"keywords":33,"description":14,"schema_data":34,"social_meta":85,"head_meta":87,"extra_data":89,"updated_unix":27},"gender-gap-analysis-in-news-and-talk-online-radio-broadcast","",{"@graph":35,"@context":84},[36,53,67],{"@type":37,"itemListElement":38},"BreadcrumbList",[39,43,47,50],{"item":40,"name":41,"@type":42,"position":20},"https://docshare.wps.com","Home","ListItem",{"item":44,"name":45,"@type":42,"position":46},"https://docshare.wps.com/document/","Document",2,{"item":48,"name":12,"@type":42,"position":49},"https://docshare.wps.com/document/research-report/",3,{"item":51,"name":13,"@type":42,"position":52},"https://docshare.wps.com/document/gender-gap-analysis-in-news-and-talk-online-radio-broadcast/85668/",4,{"url":51,"name":13,"@type":54,"author":55,"headline":13,"publisher":57,"fileFormat":60,"inLanguage":23,"description":14,"dateModified":61,"datePublished":61,"encodingFormat":60,"isAccessibleForFree":62,"interactionStatistic":63},"DigitalDocument",{"name":9,"@type":56},"Person",{"url":40,"name":58,"@type":59},"DocShare","Organization","application/pdf","2026-07-16",true,{"@type":64,"interactionType":65,"userInteractionCount":4},"InteractionCounter",{"@type":66},"ViewAction",{"@type":68,"mainEntity":69},"FAQPage",[70,76,80],{"name":71,"@type":72,"acceptedAnswer":73},"What gender-related aspects of radio broadcasts does the study examine?","Question",{"text":74,"@type":75},"The study focuses on gender differences in total allotted speaking duration, air-time allocation across times of day, and biases in gender participation across broadcast topics.","Answer",{"name":77,"@type":72,"acceptedAnswer":78},"What data and methodology are used to analyze the broadcasts?",{"text":79,"@type":75},"Filtered recordings from 74 U.S. news and talk radio stations are collected over 24 hours, totaling more than 1,400 hours. The VANPY framework is applied for speaker diarization, gender classification, and NLP-based topic analysis.",{"name":81,"@type":72,"acceptedAnswer":82},"What are the main findings about gender gaps in speaking time?",{"text":83,"@type":75},"Male speakers dominate the total speaking time at 77% (SD = 6.8%), with the gap becoming more pronounced during peak commute times. Female representation is lowest in “Talk Show Segments” (10.8% of speaking time) and remains limited even in “Entertainment News” (35.8% speaking time).","https://schema.org",{"og:url":51,"og:type":86,"og:title":13,"og:site_name":58,"og:description":14},"article",{"robots":88,"canonical":51},"index,follow",{"doc_id":7,"site_id":24},{"code":4,"msg":5,"data":91},[92,96,100,104,109,114,119,122,127,130,134],{"id":20,"doc_module":4,"doc_module_name":45,"category_name":93,"show_sort_weight":94,"slug":95},"Story & Novel",90,"story-novel",{"id":46,"doc_module":4,"doc_module_name":45,"category_name":97,"show_sort_weight":98,"slug":99},"Literature",80,"literature",{"id":52,"doc_module":4,"doc_module_name":45,"category_name":101,"show_sort_weight":102,"slug":103},"Exam",70,"exam",{"id":105,"doc_module":4,"doc_module_name":45,"category_name":106,"show_sort_weight":107,"slug":108},5,"Comic",60,"comic",{"id":110,"doc_module":4,"doc_module_name":45,"category_name":111,"show_sort_weight":112,"slug":113},6,"Technology",50,"technology",{"id":115,"doc_module":4,"doc_module_name":45,"category_name":116,"show_sort_weight":117,"slug":118},7,"Healthcare",40,"healthcare",{"id":11,"doc_module":4,"doc_module_name":45,"category_name":12,"show_sort_weight":120,"slug":121},30,"research-report",{"id":123,"doc_module":4,"doc_module_name":45,"category_name":124,"show_sort_weight":125,"slug":126},9,"Religion & Spirituality",20,"religion-spirituality",{"id":125,"doc_module":4,"doc_module_name":45,"category_name":128,"show_sort_weight":125,"slug":129},"World Cup","world-cup",{"id":131,"doc_module":4,"doc_module_name":45,"category_name":132,"show_sort_weight":131,"slug":133},10,"Lifestyle","lifestyle",{"id":21,"doc_module":4,"doc_module_name":45,"category_name":135,"show_sort_weight":105,"slug":136},"General","general"]