Adolescents, as active online searchers, have easy access to health information. Much
health information they encounter online is of poor quality and even contains potentially …

Baiting user engagement is pervasive on social media platforms, and new strategies and
tools have been developed to facilitate this engagement bait. However, the empirical effects …

Background While there is high-quality online health information, a lot of recent work has
unfortunately highlighted significant issues with the health content on social media platforms …

The proliferation of influencers on social-media platforms has drawn considerable research
attention, particularly in the field of marketing. Nevertheless, there is limited understanding …

Facebook originally had a single reaction feature, like, which was updated in 2016 with five
other options, and again in 2020 with a sixth. The intended meanings of these features …

Clickbait is a problem that exists throughout society. Due to the rising advancement, this
clickbait problem has harmed numerous societies. This clickbait is used on multiple online …

Clickbait headlines work through superlatives and intensifiers, creating information gaps to
increase the relevance of their associated links that direct users to time-wasting and …

Social media tends to use “catchy” headlines to intentionally get people to click news.
However, clickbait headlines can erode readers' trust and devalue news. To combat …

Interactive interfaces in tandem with Machine Learning (ML) models support user
understanding of model uncertainty, build confidence, improve predictive accuracy and …

This paper describes our participation in the Clickbait challenge at SemEval 2023. In this
work, we address the Clickbait classification task using transformers models in an ensemble …