61 citations · 95 across the 4 of their papers we have counts for
3 papers · 1 filter
The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength
Martin Potthast, Tim Gollub, Matthias Hagen +1
Clickbait has grown to become a nuisance to social media users and social media operators alike. Malicious content publishers misuse social media to manipulate as many users as pos…
Heuristic Feature Selection for Clickbait Detection
Matti Wiegmann, Michael Völske, Benno Stein +2
We study feature selection as a means to optimize the baseline clickbait detector employed at the Clickbait Challenge 2017. The challenge's task is to score the "clickbaitiness" of…
A Stylometric Inquiry into Hyperpartisan and Fake News
Martin Potthast, Johannes Kiesel, Kevin Reinartz +2
This paper reports on a writing style analysis of hyperpartisan (i.e., extremely one-sided) news in connection to fake news. It presents a large corpus of 1,627 articles that were…