Interrupted time series analysis of clickbait on worldwide news websites, 2016-2023
<|reference_start|>Interrupted time series analysis of clickbait on worldwide news websites, 2016-2023: Clickbait is deceptive text that can manipulate web browsing, creating an information gap between a link and target page that literally baits a user into clicking. Clickbait detection continues to be well studied, but analyses of clickbait overall on the web are limited. A dataset was built consisting of 451,033,388 clickbait scores produced by a clickbait detector which analyzed links and headings on primarily English news pages from the Common Crawl. On this data, 5 segmented regression models were fit on 5 major news events and averaged clickbait scores. COVID and the 2020 US Election appeared to influence clickbait levels.<|reference_end|>
@article{mccutcheon2024interrupted,
    title={Interrupted time series analysis of clickbait on worldwide news
  websites, 2016-2023},
    author={Austin McCutcheon, Chris Brogly},
    journal={arXiv preprint arXiv:2408.06376},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.06376},
    primaryClass={cs.SI}
}