AI Affects Scam Detection Confidence
This is a U.S. news story, published by New York Post, that relates primarily to AI news.
U.S. news
For more U.S. news, you can click here:
more U.S. newsNews about Ai policy and regulations
For more Ai policy and regulations news, you can click here:
more Ai policy and regulations newsNew York Post news
For more news from New York Post, you can click here:
more news from New York PostAbout the Otherweb
Otherweb, Inc is a public benefit corporation, dedicated to improving the quality of news people consume. We are non-partisan, junk-free, and ad-free. We use artificial intelligence (AI) to remove junk from your news feed, and allow you to select the best tech news, business news, entertainment news, and much more. If you like this article about Ai policy and regulations, you might also like this article about
rampant scams. We are dedicated to bringing you the highest-quality news, junk-free and ad-free, about your favorite topics. Please come every day to read the latest potential scams news, potential scam news, news about Ai policy and regulations, and other high-quality news about any topic that interests you. We are working hard to create the best news aggregator on the web, and to put you in control of your news feed - whether you choose to read the latest news through our website, our news app, or our daily newsletter - all free!
scammersNew York Post
•Americans embracing AI despite scam fears: survey
73% Informative
A survey of 2,000 U.S. adults revealed that only 18% feel “very confident” in their ability to identify a scam before falling victim to it.
One in three even admit that it would be difficult for them to identify potential scam if the scammer was trying to impersonate someone they personally know.
Almost four in 10 participants ( 38% ) have a positive view of AI and many are reaping the benefits of it.
Survey of 2,000 general population Americans was commissioned by BOSS Revolution between June 5 and June 10, 2024 .
Survey methodology: This random double-opt-in survey was conducted by Talker Research , whose team members are members of the Market Research Society and the European Society for Opinion and Marketing Research ( ESOMAR ).
VR Score
72
Informative language
71
Neutral language
30
Article tone
informal
Language
English
Language complexity
59
Offensive language
not offensive
Hate speech
not hateful
Attention-grabbing headline
not detected
Known propaganda techniques
not detected
Time-value
medium-lived
External references
1
Source diversity
1
Affiliate links
no affiliate links