BaitWatcher: A lightweight web interface for the detection of incongruent news headlines
In digital environments where substantial amounts of information are shared online, news headlines play essential roles in the selection and diffusion of news articles. Some news articles attract audience attention by showing exaggerated or misleading headlines. This study addresses the \textit{headline incongruity} problem, in which a news headline makes claims that are either unrelated or opposite to the contents of the corresponding article. We present \textit{BaitWatcher}, which is a lightweight web interface that guides readers in estimating the likelihood of incongruence in news articles before clicking on the headlines. BaitWatcher utilizes a hierarchical recurrent encoder that efficiently learns complex textual representations of a news headline and its associated body text. For training the model, we construct a million scale dataset of news articles, which we also release for broader research use. Based on the results of a focus group interview, we discuss the importance of developing an interpretable AI agent for the design of a better interface for mitigating the effects of online misinformation.
Code (0)
등록된 구현이 없습니다.
Tasks
AI AgentArticlesMisinformationSimilar Papers 제목 키워드 기반
Gated Recursive and Sequential Deep Hierarchical Encoding for Detecting Incongruent News Articles
With the increase in misinformation across digital platforms, incongruent news detection is becoming an important research problem. Earlier, researchers have exploited various feature engineering approaches and deep lea…
ArticlesFeature EngineeringMisinformationIncongruity Detection between Bangla News Headline and Body Content through Graph Neural Network
Incongruity between news headlines and the body content is a common method of deception used to attract readers. Profitable headlines pique readers' interest and encourage them to visit a specific website. This is usuall…
Graph Neural Networkincongruity detectionStance DetectionFake or Credible? Towards Designing Services to Support Users' Credibility Assessment of News Content
Fake news has become omnipresent in digitalized areas such as social media platforms. While being disseminated online, it also poses a threat to individuals and societies offline, for example, in the context of democrati…
Fake News DetectionPOSHAN: Cardinal POS Pattern Guided Attention for News Headline Incongruence
Automatic detection of click-bait and incongruent news headlines is crucial to maintaining the reliability of the Web and has raised much research attention. However, most existing methods perform poorly when news headli…
POSTAGWord EmbeddingsBeyond Novelty Detection: Incongruent Events, when General and Specific Classifiers Disagree
Unexpected stimuli are a challenge to any machine learning algorithm. Here we identify distinct types of unexpected events, focusing on 'incongruent events' - when 'general level' and 'specific level' classifiers give co…
Novelty DetectionObject Recognitionspeech-recognitionSpeech Recognition