<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>社交媒体新闻 on 南京大学新闻创新实验室 · 论文速递</title><link>https://nju-journalism-lab.pages.dev/tags/%E7%A4%BE%E4%BA%A4%E5%AA%92%E4%BD%93%E6%96%B0%E9%97%BB/</link><description>Recent content in 社交媒体新闻 on 南京大学新闻创新实验室 · 论文速递</description><generator>Hugo</generator><language>zh-cn</language><lastBuildDate>Sun, 31 May 2026 16:18:25 +0000</lastBuildDate><atom:link href="https://nju-journalism-lab.pages.dev/tags/%E7%A4%BE%E4%BA%A4%E5%AA%92%E4%BD%93%E6%96%B0%E9%97%BB/index.xml" rel="self" type="application/rss+xml"/><item><title>TikTok上的“为你推荐”新闻：一项基于数字方法的研究</title><link>https://nju-journalism-lab.pages.dev/english-selected/2026/05/news-foryou-on-tiktok-a-digital-methods-based-study/</link><pubDate>Sun, 31 May 2026 16:18:25 +0000</pubDate><guid>https://nju-journalism-lab.pages.dev/english-selected/2026/05/news-foryou-on-tiktok-a-digital-methods-based-study/</guid><description>本研究采用数字方法分析了91家欧洲新闻媒体在TikTok上发布的26,473个视频，探究其如何适配平台的视觉、听觉和标签可供性。</description></item></channel></rss>