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The emergence of social media as news sources has led to the rise of clickbait posts attempting to attract users to click on article links without informing them on the actual article content. This paper presents our efforts to create a…

Social and Information Networks · Computer Science 2017-10-25 Olga Papadopoulou , Markos Zampoglou , Symeon Papadopoulos , Ioannis Kompatsiaris

Clickbait is the practice of engineering titles to incentivize readers to click through to articles. Such titles with sensationalized language reveal as little information as possible. Occasionally, clickbait will be intentionally…

Computation and Language · Computer Science 2023-06-28 Adhitya Thirumala , Elisa Ferracane

Clickbait headlines degrade the quality of online information and undermine user trust. We present a hybrid approach to clickbait detection that combines transformer-based text embeddings with linguistically motivated informativeness…

Computation and Language · Computer Science 2026-02-23 Wojciech Michaluk , Tymoteusz Urban , Mateusz Kubita , Soveatin Kuntur , Anna Wroblewska

With the growing shift towards news consumption primarily through social media sites like Twitter, most of the traditional as well as new-age media houses are promoting their news stories by tweeting about them. The competition for user…

Social and Information Networks · Computer Science 2017-09-12 Abhijnan Chakraborty , Rajdeep Sarkar , Ayushi Mrigen , Niloy Ganguly

We introduce and study the task of clickbait spoiling: generating a short text that satisfies the curiosity induced by a clickbait post. Clickbait links to a web page and advertises its contents by arousing curiosity instead of providing an…

Computation and Language · Computer Science 2022-03-22 Matthias Hagen , Maik Fröbe , Artur Jurk , Martin Potthast

Clickthrough data is a particularly inexpensive and plentiful resource to obtain implicit relevance feedback for improving and personalizing search engines. However, it is well known that the probability of a user clicking on a result is…

Information Retrieval · Computer Science 2007-05-23 Filip Radlinski , Thorsten Joachims

Clickbaits are surprising social posts or deceptive news headlines that attempt to lure users for more clicks, which have posted at unprecedented rates for more profit or commercial revenue. The spread of clickbait has significant negative…

Computation and Language · Computer Science 2024-04-18 Haoxiang Deng , Yi Zhu , Ye Wang , Jipeng Qiang , Yunhao Yuan , Yun Li , Runmei Zhang

Clickbaits are catchy headlines that are frequently used by social media outlets in order to allure its viewers into clicking them and thus leading them to dubious content. Such venal schemes thrive on exploiting the curiosity of naive…

Computation and Language · Computer Science 2018-11-06 Amrith Rajagopal Setlur

Online content publishers often use catchy headlines for their articles in order to attract users to their websites. These headlines, popularly known as clickbaits, exploit a user's curiosity gap and lure them to click on links that often…

Computation and Language · Computer Science 2019-10-18 Ankesh Anand , Tanmoy Chakraborty , Noseong Park

Clickbait is characterized by disproportionately high emotional intensity relative to informational content, often reinforced by specific structural patterns. However, current research considers clickbait as a static textual phenomenon…

Computation and Language · Computer Science 2026-05-01 Syed Mhamudul Hasan , Mohd. Farhan Israk Soumik , Abdur R. Shahid

Accuracy is one of the basic principles of journalism. However, it is increasingly hard to manage due to the diversity of news media. Some editors of online news tend to use catchy headlines which trick readers into clicking. These…

Computation and Language · Computer Science 2017-08-30 Wei Wei , Xiaojun Wan

Recommendation is a prevalent and critical service in information systems. To provide personalized suggestions to users, industry players embrace machine learning, more specifically, building predictive models based on the click behavior…

Information Retrieval · Computer Science 2021-05-25 Wenjie Wang , Fuli Feng , Xiangnan He , Hanwang Zhang , Tat-Seng Chua

Online news outlets operate predominantly on an advertising-based revenue model, compelling journalists to create headlines that are often scandalous, intriguing, and provocative -- commonly referred to as clickbait. Automatic detection of…

Computation and Language · Computer Science 2025-07-25 Marija Anđelić , Dominik Šipek , Laura Majer , Jan Šnajder

The proliferation of clickbait headlines poses significant challenges to the credibility of information and user trust in digital media. While recent advances in machine learning have improved the detection of manipulative content, the lack…

Computation and Language · Computer Science 2025-09-16 Lihi Nofar , Tomer Portal , Aviv Elbaz , Alexander Apartsin , Yehudit Aperstein

We revise the definition of clickbait, which lacks current consensus, and argue that the creation of a curiosity gap is the key concept that distinguishes clickbait from other related phenomena such as sensationalism and headlines that do…

Computation and Language · Computer Science 2025-07-15 Gabriel Mordecki , Guillermo Moncecchi , Javier Couto

This paper presents the results and conclusions of our participation in the Clickbait Challenge 2017 on automatic clickbait detection in social media. We first describe linguistically-infused neural network models and identify informative…

Machine Learning · Computer Science 2017-10-18 Maria Glenski , Ellyn Ayton , Dustin Arendt , Svitlana Volkova

Students are increasingly using online materials to learn new subjects or to supplement their learning process in educational institutions. Issues regarding gender bias have been raised in the context of formal education and some measures…

Information Retrieval · Computer Science 2022-06-22 Gizem Gezici , Yucel Saygin

Following the rising popularity of YouTube, there is an emerging problem on this platform called clickbait, which provokes users to click on videos using attractive titles and thumbnails. As a result, users ended up watching a video that…

Machine Learning · Computer Science 2025-05-26 Bhanuka Gamage , Adnan Labib , Aisha Joomun , Chern Hong Lim , KokSheik Wong

Fake news is risky since it has been created to manipulate the readers' opinions and beliefs. In this work, we compared the language of false news to the real one of real news from an emotional perspective, considering a set of false…

Computation and Language · Computer Science 2019-08-28 Bilal Ghanem , Paolo Rosso , Francisco Rangel

Click counts are related to the amount of money that online advertisers paid to news sites. Such business models forced some news sites to employ a dirty trick of click-baiting, i.e., using a hyperbolic and interesting words, sometimes…

Computation and Language · Computer Science 2021-02-03 Muhammad N. Fakhruzzaman , Saidah Z. Jannah , Ratih A. Ningrum , Indah Fahmiyah