mlsanityData to 7 Oct 2026

Is it a click bait? Let's predict using Machine Learning

arXiv 2106.07348 ↗First posted 1 Jun 2021cs.CL cs.IRcited by 0

Not on the map. Why?

Abstract (arXiv)

In this era of digitisation, news reader tend to read news online. This is because, online media instantly provides access to a wide variety of content. Thus, people don't have to wait for tomorrow's newspaper to know what's happening today. Along with these virtues, online news have some vices as well. One such vice is presence of social media posts (tweets) relating to news articles whose sole purpose is to draw attention of the users rather than directing them to read the actual content. Such posts are referred to as clickbaits. The objective of this project is to develop a system which would be capable of predicting how likely are the social media posts (tweets) relating to new articles tend to be clickbait.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 17 of its 28 references that are in the map. First posted on arXiv 1 Jun 2021.

Builds on

17 of 28 references.

References · 17

  1. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  2. 2014Adam: A Method for Stochastic Optimizationcited by 36,960
  3. 2016XGBoost: A Scalable Tree Boosting Systemcited by 5,120
  4. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462
  5. 2015Convolutional Neural Network Architectures for Matching Natural Language Sentencescited by 82
  6. 2016Stop Clickbait: Detecting and Preventing Clickbaits in Online News Mediacited by 39
  7. 2017Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?cited by 11
  8. 2016We used Neural Networks to Detect Clickbaits: You won't believe what happened Next!cited by 9
  9. 2017Tabloids in the Era of Social Media? Understanding the Production and Consumption of Clickbaits in Twittercited by 5
  10. 2017Clickbait Detection in Tweets Using Self-attentive Networkcited by 5
  11. 2018Using Neural Network for Identifying Clickbaits in Online News Mediacited by 5
  12. 2017Detecting Clickbait in Online Social Media: You Won't Believe How We Did Itcited by 4
5 more
  1. 2017Identifying Clickbait Posts on Social Media with an Ensemble of Linear Modelscited by 2
  2. 2017Machine Learning Based Detection of Clickbait Posts in Social Mediacited by 2
  3. 2017Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Modelscited by 2
  4. 2017Clickbait detection using word embeddingscited by 1
  5. 2017A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Featurescited by 1

Built on by

Not cited yet.