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The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength

The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength

Martin Potthast
Tim Gollub
Matthias Hagen
Benno Stein
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Papers citing "The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength"

18 / 18 papers shown
Title
How A/B testing changes the dynamics of information spreading on a social network
How A/B testing changes the dynamics of information spreading on a social network
Matteo Ottaviani
Stefan M Herzog
Pietro Leonardo Nickl
Philipp Lorenz-Spreen
35
0
0
02 May 2024
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
BanglaBait: Semi-Supervised Adversarial Approach for Clickbait Detection on Bangla Clickbait Dataset
Motahar Mahtab
Monirul Haque
Mehedi Hasan
Farig Sadeque
51
1
0
10 Nov 2023
Clickbait Spoiling via Question Answering and Passage Retrieval
Clickbait Spoiling via Question Answering and Passage Retrieval
Matthias Hagen
Maik Fröbe
Artur Jurk
Martin Potthast
92
35
0
19 Mar 2022
Clickbait Detection in YouTube Videos
Clickbait Detection in YouTube Videos
Ruchira Gothankar
Fabio Di Troia
Mark Stamp
44
13
0
26 Jul 2021
Clickbait in Hindi News Media : A Preliminary Study
Clickbait in Hindi News Media : A Preliminary Study
V. Kaushal
K. Vemuri
16
1
0
14 Dec 2020
Learning to Determine the Quality of News Headlines
Learning to Determine the Quality of News Headlines
Amin Omidvar
Hossein Pourmodheji
Aijun An
Gordon Edall
28
6
0
26 Nov 2019
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
Clickbait? Sensational Headline Generation with Auto-tuned Reinforcement Learning
Peng Xu
Chien-Sheng Wu
Andrea Madotto
Pascale Fung
96
36
0
09 Sep 2019
Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection
Semi-Supervised Confidence Network aided Gated Attention based Recurrent Neural Network for Clickbait Detection
Amrith Rajagopal Setlur
44
3
0
04 Nov 2018
Using Neural Network for Identifying Clickbaits in Online News Media
Using Neural Network for Identifying Clickbaits in Online News Media
Amin Omidvar
Hui Jiang
Aijun An
49
19
0
20 Jun 2018
Reinforced Co-Training
Reinforced Co-Training
Jiawei Wu
Lei Li
William Yang Wang
OffRL
92
51
0
17 Apr 2018
Heuristic Feature Selection for Clickbait Detection
Heuristic Feature Selection for Clickbait Detection
Matti Wiegmann
Michael Völske
Benno Stein
Matthias Hagen
Martin Potthast
37
6
0
04 Feb 2018
Clickbait Identification using Neural Networks
Clickbait Identification using Neural Networks
Philippe E. Thomas
39
17
0
24 Oct 2017
A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features
A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features
Olga Papadopoulou
M. Zampoglou
Symeon Papadopoulos
Y. Kompatsiaris
71
16
0
23 Oct 2017
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models
M. Glenski
Ellyn Ayton
Dustin L. Arendt
Svitlana Volkova
57
21
0
17 Oct 2017
Clickbait Detection in Tweets Using Self-attentive Network
Clickbait Detection in Tweets Using Self-attentive Network
Yiwei Zhou
70
53
0
15 Oct 2017
Clickbait detection using word embeddings
Clickbait detection using word embeddings
Vijayasaradhi Indurthi
Subba Reddy Oota
35
13
0
08 Oct 2017
Machine Learning Based Detection of Clickbait Posts in Social Media
Machine Learning Based Detection of Clickbait Posts in Social Media
Xinyue Cao
Thai Le
Jason
Jason Y. Zhang
38
33
0
05 Oct 2017
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
Identifying Clickbait: A Multi-Strategy Approach Using Neural Networks
Vaibhav Kumar
Dhruv Khattar
Siddhartha Gairola
Yash Kumar Lal
Vasudeva Varma
79
56
0
04 Oct 2017