Topic · social
Social Media Fraud Prevention
3 posts
· 375 engagement
· first seen 31 May 2026
· last seen 8 Jul 2026
The article examines how deepfake scams targeting New Zealanders—using real people’s images including bank CEOs and politicians—have gone unchecked on Meta platforms, raising urgent concerns about platform accountability, fraud prevention, and the lack of protective measures in a
Stance breakdown
How the per-edge framings classify across 3 classified edges. Each framing is labelled by a small AI stance classifier; see the methodology page for details.
Supportive
1
Critical
1
Neutral / explainer
1
Sentiment breakdown
Whole-post emotional valence across 3 classified posts that reference this topic. Distinct from stance: a post can be supportive of the topic and still negative in tone (an angry supporter) — the two together capture the texture short-form posts compress into very few words.
Platform mix
Where the conversation is happening. Engagement is volume-weighted (likes + 2×shares + 3×replies); a small number of high-impact posts can outrank a high-volume but low-engagement platform.
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reddit
2 posts
· 375 engagement
375
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youtube
1 post
· 0 engagement
0
Top posts by engagement
The most-engaged posts referencing this topic. Engagement is likes + 2×shares + 3×replies; the order matches the digest ranking on /social.
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reddit
· u/Mental_Material_5613
· sentiment: negative
· ♥ 50
· ↻ 0
· 💬 69
· 257 engagement
8 Jul
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reddit
· u/Kiwi_Dutchman
· sentiment: negative
· ♥ 13
· ↻ 0
· 💬 35
· 118 engagement
31 May
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youtube
· @UCCAzgx6-OmlJ72ujSoX3J_g
· reply
· sentiment: negative
· ♥ 0
· ↻ 0
· 💬 0
· 0 engagement
30 Jun