{"id":1720,"date":"2026-04-14T14:48:42","date_gmt":"2026-04-14T06:48:42","guid":{"rendered":"https:\/\/cchsu.info\/wordpress\/deepfake-media-forensics-public\/"},"modified":"2026-04-15T23:02:10","modified_gmt":"2026-04-15T15:02:10","slug":"deepfake-media-forensics-public","status":"publish","type":"page","link":"https:\/\/cchsu.info\/wordpress\/deepfake-media-forensics-public\/","title":{"rendered":"DeepFake & Media Verification: Public Overview"},"content":{"rendered":"
\n
\n

For General Readers<\/p>\n

DeepFake, Verification, and AI Literacy<\/h1>\n

This public overview introduces how DeepFake verification appears in real incidents, and how ACVLab turns those incidents into accessible teaching materials, tools, and learning entry points.<\/p>\n

\n Open AI Literacy Hub<\/a>
\n Start Public Course<\/a>
\n View academic overview<\/a>\n <\/div>\n<\/section>\n
\n
\n

Public entry points<\/span><\/h2>\n<\/div>\n
\n <\/p>\n

General Public<\/h3>\n

Traditional Chinese course for adults, journalists, workshop participants, and the general public.<\/p>\n

<\/a>
\n <\/p>\n

Kids Deck<\/h3>\n

Story-based teaching slides for parents, teachers, and classroom use.<\/p>\n

<\/a>
\n <\/p>\n

Grades 3\u20134<\/h3>\n

Lower-threshold game route with simpler tasks and lighter wording.<\/p>\n

<\/a>
\n <\/p>\n

Grades 5\u20136<\/h3>\n

Higher-grade version with stronger emphasis on source tracing and tools.<\/p>\n

<\/a>
\n <\/p>\n

Detection Tool<\/h3>\n

Hands-on detector entry point for people who want to test suspicious media directly.<\/p>\n

<\/a>\n <\/div>\n<\/section>\n

\n
\n

Real Cases Used in Teaching<\/span><\/h2>\n<\/div>\n

The cards below do not use random stock visuals. Each image points back to the original report or article for that specific event.<\/p>\n

\n
\n
\"TFC<\/div>\n
\n
Example *1<\/div>\n

\u201cMeteor-like attack on Tel Aviv\u201d<\/h3>\n

A dramatic war clip can feel urgent and believable, which is exactly why it spreads fast before people check it.<\/p>\n

Read the TFC fact check<\/a>\n <\/div>\n<\/article>\n

\n
\"TFC<\/div>\n
\n
Example *2<\/div>\n

\u201c20 years ago Lai speech\u201d fake clip<\/h3>\n

Not every false video is fully AI-generated. Some are edited, reframed, and circulated as if they were real historical footage.<\/p>\n

Read the TFC fact check<\/a>\n <\/div>\n<\/article>\n

\n
\"TFC<\/div>\n
\n
Example *3<\/div>\n

\u201c90-year-old duet\u201d AI video<\/h3>\n

Warm and emotional clips are often shared without checking. That makes them useful teaching cases for public verification.<\/p>\n

Read the TFC fact check<\/a>\n <\/div>\n<\/article>\n

\n
\"Taiwan<\/div>\n
\n
Example *4<\/div>\n

Fake audio of Taiwan’s president<\/h3>\n

Verification is not only about faces. Audio rumors travel quickly too, especially once clips are reposted across platforms.<\/p>\n

Read the report<\/a>\n <\/div>\n<\/article>\n

\n
\"READr<\/div>\n
\n
Reference *5<\/div>\n

READr Deepfake event archive<\/h3>\n

Some people need one case; others need the wider pattern. This archive is useful for seeing how Deepfake events accumulate over time.<\/p>\n

Open the READr article<\/a>\n <\/div>\n<\/article>\n

\n
\n
Guide *6<\/div>\n

FactLink newsroom guideline<\/h3>\n

For people who want a practical reference rather than only a case story, this guideline explains how AI-generated image verification can be handled in a newsroom workflow.<\/p>\n

Open FactLink guide<\/a>\n <\/div>\n<\/article><\/div>\n<\/section>\n

\n
\n

Teaching Clips<\/span><\/h2>\n<\/div>\n
\n
\n
Verify.<\/strong> A short teaching clip showing how the child-friendly course introduces source checking and slow verification.<\/figcaption><\/figure>\n
\n