78 citations · 119 across the 14 of their papers we have counts for
4 papers · 1 filter
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
Md Main Uddin Rony, Md Mahfuzul Haque, Mohammad Ali +2
In the digital age, the prevalence of misleading news headlines poses a significant challenge to information integrity, necessitating robust detection mechanisms. This study explor…
A Benchmark Dataset of Check-worthy Factual Claims
Fatma Arslan, Naeemul Hassan, Chengkai Li +1
In this paper we present the ClaimBuster dataset of 23,533 statements extracted from all U.S. general election presidential debates and annotated by human coders. The ClaimBuster d…
Examining the Role of Clickbait Headlines to Engage Readers with Reliable Health-related Information
Sima Bhowmik, Md Main Uddin Rony, Md Mahfuzul Haque +2
Clickbait headlines are frequently used to attract readers to read articles. Although this headline type has turned out to be a technique to engage readers with misleading items, i…
Dis-S2V: Discourse Informed Sen2Vec
Tanay Kumar Saha, Shafiq Joty, Naeemul Hassan +1
Vector representation of sentences is important for many text processing tasks that involve clustering, classifying, or ranking sentences. Recently, distributed representation of s…