The past 3 years of work in NLP have been characterized by the development and
deployment of ever larger language models, especially for English. BERT, its variants, GPT …

In this paper, we formulate the personalized news headline generation problem whose goal
is to output a user-specific title based on both a user's reading interests and a candidate …

In this overview paper, we report on the second PAN~ Clickbait Challenge hosted as Task~
5 at SemEval~ 2023. The challenge's focus is to better support social media users by …

Current summarization systems only produce plain, factual headlines, but do not meet the
practical needs of creating memorable titles to increase exposure. We propose a new task …

To explore how humans can best leverage LLMs for writing and how interacting with these
models affects feelings of ownership and trust in the writing process, we compared common …

Automatic headline generation enables users to comprehend ongoing news events
promptly and has recently become an important task in web mining and natural language …

We introduce and study the task of clickbait spoiling: generating a short text that satisfies the
curiosity induced by a clickbait post. Clickbait links to a web page and advertises its contents …

The potential choices for news article headlines are enormous, and finding the right balance
between conveying the essential message and capturing the reader's attention is key to …

Communicating science and technology is essential for the public to understand and
engage in a rapidly changing world. Tweetorials are an emerging phenomenon where …

Clickbait headlines are compelling and designed to lure readers to click on the linked article.
To understand their impact on the credibility of news items, we designed and conducted an …