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Clickbait has grown to become a nuisance to social media users and social media operators alike.
Ousting Ivory Tower Research: Towards a Web Framework for Providing Experiments as a Service. In 35th International ACM Conference on Research and Development in Information Retrieval (SIGIR 2012) . ACM, 1125–1126
Tim Gollub, Benno Stein, and Steven Burrows. 2012 · 2012
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Improving the Reproducibility of PAN’s Shared Tasks: Plagiarism Detection, Author Identification, and Author Profiling. In Information Access Evaluation meets Multilinguality, Multimodality, and Visualization. 5th International Conference of the CLEF Initiative (CLEF 2014) . Springer, Berlin Heidelberg New York, 268–299
Martin Potthast, Tim Gollub, Francisco Rangel, Paolo Rosso, Efstathios Stamatatos, and Benno Stein. 2014 · 2014
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Clickbait detection using deep learning. In 2016 2nd International Conference on Next Generation Computing Technologies (NGCT) . 268–272
A. Agrawal. 2016 · 2016
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"8 Amazing Secrets for Getting More Clicks": Detecting Clickbaits in News Streams Using Article Informality. In Proc. of the Thirtieth AAAI Conference on Artificial Intelligence, February 12-17, 2016, Phoenix, Arizona, USA. 94–100
Prakhar Biyani, Kostas Tsioutsiouliklis, and John Blackmer. 2016 · 2016
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Stop Clickbait: Detecting and preventing clickbaits in online news media. In 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2016, San Francisco, CA, USA, August 18-21, 2016 . 9–16
Abhijnan Chakraborty, Bhargavi Paranjape, Sourya Kakarla, and Niloy Ganguly. 2016 · 2016
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Clickbait Detection. In Advances in Information Retrieval. 38th European Conference on IR Research (ECIR 2016) (Lecture Notes in Computer Science) , Vol. 9626. Springer, Berlin Heidelberg New York, 810–817
Martin Potthast, Sebastian Köpsel, Benno Stein, and Matthias Hagen. 2016 · 2016
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We Used Neural Networks to Detect Clickbaits: You Won’t Believe What Happened Next!. In Advances in Information Retrieval - 39th European Conference on IR Research, ECIR 2017, Aberdeen, UK, April 8-13, 2017, Proc. . 541–547
Ankesh Anand, Tanmoy Chakraborty, and Noseong Park. 2017 · 2017
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Machine Learning Based Detection of Clickbait Posts in Social Media
Xinyue Cao, Thai Le, and Jason Zhang. 2017 · 2017
Cited alongside, same era.
Detecting Clickbait in Online Social Media: You Won’t Believe How We Did It
Aviad Elyashar, Jorge Bendahan, and Rami Puzis. 2017 · 2017
Cited alongside, same era.
A Neural Clickbait Detection Engine
Siddhartha Gairola, Yash Kumar Lal, Vaibhav Kumar, and Dhruv Khattar. 2017 · 2017
Cited alongside, same era.
Fishing for Clickbaits in Social Images and Texts with Linguistically-Infused Neural Network Models
Maria Glenski, Ellyn Ayton, Dustin Arendt, and Svitlana Volkova. 2017 · 2017
Cited alongside, same era.
Identifying Clickbait Posts on Social Media with an Ensemble of Linear Models
Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?
Md Main Uddin Rony, Naeemul Hassan, and Mohammad Yousuf. 2017 · 2017
Later among the works it cites.
Clickbait Identification using Neural Networks
Philippe Thomas. 2017 · 2017
Later among the works it cites.
Clickbait Detection in Tweets Using Self-attentive Network
Yiwei Zhou. 2017 · 2017
Later among the works it cites.
Reproducible Web Corpora: Interactive Archiving with Automatic Quality Assessment
Johannes Kiesel, Florian Kneist, Milad Alshomary, Benno Stein, Matthias Hagen, and Martin Potthast. 2018 · 2018
Closest in time.
Using Neural Network for Identifying Clickbaits in Online News Media
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Alexey Grigorev. 2017 · 2017
Cited alongside, same era.
Clickbait detection using word embeddings
Vijayasaradhi Indurthi and Subba Reddy Oota. 2017 · 2017
Cited alongside, same era.
A Two-Level Classification Approach for Detecting Clickbait Posts using Text-Based Features
Olga Papadopoulou, Markos Zampoglou, Symeon Papadopoulos, and Ioannis Kompatsiaris. 2017 · 2017
Cited alongside, same era.
Amin Omidvar, Hui Jiang, and Aijun An. 2018 · 2018
Closest in time.
Crowdsourcing a Large Corpus of Clickbait on Twitter. In Proc. of the 27th International Conference on Computational Linguistics (COLING 2018) , 1498–1507
Martin Potthast, Tim Gollub, Kristof Komlossy, Sebastian Schuster, Matti Wiegmann, Erika Patricia Garces Fernandez, Matthias Hagen, and Benno Stein. 2018 · 2018
Closest in time.
Heuristic Feature Selection for Clickbait Detection
Matti Wiegmann, Michael Völske, Benno Stein, Matthias Hagen, and Martin Potthast. 2018 · 2018
Closest in time.