Identify clickbait headlines
using AI
Below is a free classifier to identify clickbait headlines. Just input your text, and our AI will predict if it is clickbait - in just seconds.
API Access
import nyckel
credentials = nyckel.Credentials("YOUR_CLIENT_ID", "YOUR_CLIENT_SECRET")
nyckel.invoke("clickbait-identifier", "your_text_here", credentials)
fetch('https://www.nyckel.com/v1/functions/clickbait-identifier/invoke', {
method: 'POST',
headers: {
'Authorization': 'Bearer ' + 'YOUR_BEARER_TOKEN',
'Content-Type': 'application/json',
},
body: JSON.stringify(
{"data": "your_text_here"}
)
})
.then(response => response.json())
.then(data => console.log(data));
curl -X POST \
-H "Content-Type: application/json" \
-H "Authorization: Bearer YOUR_BEARER_TOKEN" \
-d '{"data": "your_text_here"}' \
https://www.nyckel.com/v1/functions/clickbait-identifier/invoke
How this classifier works
To start, input the text that you'd like analyzed. Our AI tool will then predict if it is clickbait.
This pretrained text model uses the clickbait_notclickbait_dataset dataset and has 2 labels, including Clickbait vs. Not Clickbait.
We'll also show a confidence score (the higher the number, the more confident the AI model is around if it is clickbait).
Whether you're just curious or building clickbait headlines detection into your application, we hope our classifier proves helpful.
Recommended Classifiers
Need to identify clickbait headlines at scale?
Get API or Zapier access to this classifier for free. It's perfect for:
- News Aggregators: Filter out clickbait headlines to maintain the quality of curated news content.
- Social Media: Improve user experience by reducing the prevalence of clickbait in feeds.
- Digital Ad Networks: Identify and filter out ad-ridden websites with clickbait titles.
- Content Creators: Evaluate headlines to balance audience engagement with journalistic integrity.
- Marketing Agencies: Assist clients in creating web content while avoiding clickbait strategies.
- Educational Institutions: Educate students in media literacy by highlighting and analyzing clickbait tactics.
- Browser Extension Developers: Develop extensions that alert users to clickbait links, creating a better browsing experience.