✎ Nieman Reports 哈佛大學尼曼新聞基金會《尼曼報告》｜20260311

Empowering Airwaves: Women-Led Radio Stations Amplify Unheard Voices

賦權廣播：女性領導的電台放大未被聽見的聲音

Around the world, women broadcasters are creating radio programs that challenge discrimination, expose sexual abuse, and tackle taboo topics

✎ TechCrunch 資訊科技媒體《TechCrunch》｜20260310

YouTube expands AI deepfake detection to politicians, government officials, and journalists

YouTube將AI深偽影片偵測擴展至政治人物、政府官員和記者

YouTube is expanding its likeness detection technology, which identifies AI-generated deepfakes, to a pilot group of government officials, political candidates, and journalists, the company announced Tuesday. Members of the pilot group will gain access to a tool that detects unauthorized AI-generated content and lets them request its removal if they believe it violates YouTube policy.

✎ WAN-IFRA 世界新聞出版協會｜20260305

How The Hindu is embedding AI into its data journalism

印度媒體《Hindu》如何將人工智慧融入其資料新聞

LLMs are quietly reshaping data journalism workflows at The Hindu, helping reporters process vast document sets, write scripts and build interactive tools. The goal is not automated storytelling but expanding the scale and speed of investigations.

✎ The Guardian 英國《衛報》｜20260310

UK Society of Authors launches logo to identify books written by humans not AI

英國作家協會推出新標識　用來識別由人類而非人工智慧撰寫的書籍

The Society of Authors (SoA) has launched a scheme to help identify works written by humans in a market increasingly flooded by AI-generated books.

✎ Columbia Journalism Review 美國《哥倫比亞新聞評論》｜20260311

Are Prediction Markets Actually Good for Journalism?

預測市場真的對新聞業有益嗎？

Prediction markets are giving us probabilities of real-time events. That’s hard to do in the real world—and I definitely think it’s another way to get people to engage with the news. If people are trading on a prediction market, they’ll come to news media for more information about it. When you’re faced with declining readership and revenue from journalism, that’s good for the industry, right?

✎ Digiday 美國數位媒體《數位日報》｜20260311

AI surfacing is messy: Data shows publisher visibility and traffic often misalign

AI 的內容呈現很混亂：數據顯示，出版商的曝光度與流量經常不一致

Many analytics firms are attempting to answer a central question for publishers: which news outlets appear most often in AI chatbot responses? But the data is often inconsistent, and even at times contradictory.

✎ POYNTER 美國波因特學院｜20260312

Journalist-turned-news content creator Chris Vazquez on building a career in the creator economy

從記者轉型為新聞內容創作者的Chris Vazquez 談如何在創作者經濟中建立職業生涯

The MediaWise ambassador shares lessons on working with newsrooms, growing an audience and launching a creator career

整理：朱弘川、編譯：蔡宏杰