黄雅兰

• 1:暨南大学新闻与传播学院

摘要(Abstract)：

声音正在成为未来传播的主流介质,在这一背景下,不少新闻客户端推出了自动语音播报功能。本文对我国15个具有代表性的新闻资讯客户端进行检视后发现,大部分新闻客户端提供自动语音播报功能,播报声音的性别比重基本平衡,音色、音调也呈现出多元化的特征;但绝大多数新闻客户端仅提供一种性别的声音,用户没有自定义的权限;在今日头条中,声音的性别与报道题材表现出相关性:男声多用于对政治、经济、科技等硬新闻的报道,而女声被更高比例地用作文娱、社会等偏"软"新闻的报道。从新闻客户端音频节目的整体布局来看,仍然存在偏向男声的性别差异。

关键词(KeyWords)： 自动语音播报;合成声音;新闻客户端;性别;刻板印象

Abstract:

Keywords:

基金项目(Foundation): 教育部人文社会科学研究青年项目“自媒体中性别暴力的传播机制与协同治理研究”（20YJC860013）的阶段性成果

作者(Author): 黄雅兰

DOI: 10.16602/j.gmj.20210006

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• ① 财新客户端中的一些博客内容未提供自动语音播报，今日头条中也有部分报道或资讯未提供自动语音播报，编码时遇此情况就顺延至下一条，确保每天对每个客户端的20条语音播报进行编码。对自动播报声音的编码包括以下题项：(1）新闻标题____：（2）发布日期：_____（3）媒体机构：1．财新；2．腾讯新闻；3．今日头条（4）自动播报声音：1．男声；2．女声（5）记者性别：1．男性；2．女性；3．无法识别或机构；（在此项中，编码员通过网络搜索确定记者的性别，无法确定的选3；另外，在今日头条和腾讯新闻中，大量新闻只出现媒体机构而未标明记者，这种情况也选3)(6）新闻题材：1．政治；2．经济；3．文娱；4．科技；5．教育；6．卫生；7．体育；8．军事；9．宗教；10．环境；11．社会；12．其他由于本研究的编码表较为简单、编码条目并不多，所以正式研究中的编码由作者本人独自完成；但在编码实施的第一日请另一位编码员共同对60条（总样本的10%）新闻播报进行试编码，以Cohens Kappa指数测量编码员间信度，结果显示，除新闻议题的指数为0.95，变量的指数均为1，信度强。
• ② 在今日头条中，有些以视频形式呈现的“核心头条”未提供自动语音播报，而腾讯新闻会对所有的报道提供自动语音播报。
• ③ 可访问Q的官网https://www.genderlessvoice.com/,对比Q的声音与常见的男声和女声。