Instruct: Given the title of a paper, retrieve paper titles that are cited by the given paper
Query: Machine Learning Based Detection of Clickbait Posts in Social Media
The Clickbait Challenge 2017: Towards a Regression Model for Clickbait Strength
Towards Crowdsourcing Clickbait Labels for YouTube Videos
Applying Clickstream Data Mining to Real-Time Web Crawler Detection and Containment Using ClickTips Platform
Online Expectation-Maximization for Click Models
From Clickbait to Fake News Detection: An Approach based on Detecting the Stance of Headlines to Articles.
Detecting Click Fraud in Pay-Per-Click Streams of Online Advertising Networks
Social Network and Click-through Prediction with Factorization Machines
News in an online world: the need for an automatic crap detector
Deep Character-Level Click-Through Rate Prediction for Sponsored Search
Suspicious News Detection Using Micro Blog Text
A Focused Crawler Based on Naive Bayes Classifier
Automatic Detection of Fake News on Social Media Platforms
Automatic Online Fake News Detection Combining Content and Social Signals
Improving Click Fraud Detection by Real Time Data Fusion
Learning relevance from click data via neural network based similarity models
TrollSpot: Detecting misbehavior in commenting platforms
Personalized news recommendation based on click behavior
A Non-Sequential Neural Click Model for Web Search
Enquiring Minds: Early Detection of Rumors in Social Media from Enquiry Posts
Detecting Satire in the News with Machine Learning
A State Space Framework for Automatic Forecasting Using Exponential Smoothing Methods
Accessing complex crop genomes with next-generation sequencing
Terrier : A High Performance and Scalable Information Retrieval Platform
Visualizing the knowledge domain of sustainable development research between 1987 and 2015: a bibliometric analysis
ElectriSense: single-point sensing using EMI for electrical event detection and classification in the home