Browse State-of-the-Art › Clickbait Detection
Clickbait Detection
9 papers with code · 0 benchmarks · 0 datasets archive 2025-07-28
Clickbait detection is the task of identifying clickbait, a form of false advertisement, that uses hyperlink text or a thumbnail link that is designed to attract attention and to entice users to follow that link and read, view, or listen to the linked piece of online content, with a defining characteristic of being deceptive, typically sensationalized or misleading (Source: Adapted from Wikipedia)
Description from the archive archive 2025-07-28.
Benchmarks archive 2025-07-28
No benchmark for this task in the archive.
Libraries
Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.
Datasets archive 2025-07-28
No dataset record in the archive lists this task.
Subtasks archive 2025-07-28
No subtask under this task in the archive's task tree.
Most implemented papers archive 2025-07-28
9 shown of 9 papers with code (31 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.
-
20 Jun 2018 2 repositories listedOnline news media sometimes use misleading headlines to lure users to open the news article.
-
5 Dec 2016 2 repositories listedOnline content publishers often use catchy headlines for their articles in order to attract users to their websites.
-
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset10 Nov 2023 1 repository listedWe expect that this dataset and the detailed analysis and comparison of these clickbait detection models will provide a fundamental basis for future research into detecting clickbait titles in Bengali articles.
-
13 Oct 2023 1 repository listedThis study presents a large multi-modal Bangla YouTube clickbait dataset consisting of 253, 070 data points collected through an automated process using the YouTube API and Python web automation frameworks.
-
10 Oct 2023 1 repository listedDespite the importance of the task, to the best of our knowledge, there is no publicly available clickbait corpus for the Romanian language.
-
16 Jun 2023 1 repository listedClickbait, which aims to induce users with some surprising and even thrilling headlines for increasing click-through rates, permeates almost all online content publishers, such as news portals and social media.
-
23 Oct 2017 1 repository listedThe detector is based almost exclusively on text-based features taken from previous work on clickbait detection, our own work on fake post detection, and features we designed specifically for the challenge.
-
15 Oct 2017 1 repository listedClickbait detection in tweets remains an elusive challenge.
-
1 Sep 2017 1 repository listedAnd we have totally tested it, trust us!
Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections