78 citations · 95 across the 8 of their papers we have counts for
13 papers
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…
Combating Misinformation in Bangladesh: Roles and Responsibilities as Perceived by Journalists, Fact-checkers, and Users
Md Mahfuzul Haque, Mohammad Yousuf, Ahmed Shatil Alam +3
There has been a growing interest within CSCW community in understanding the characteristics of misinformation propagated through computational media, and the devising techniques t…
Towards Domain-Specific Characterization of Misinformation
Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1
The rapid dissemination of health misinformation poses an increasing risk to public health. To best understand the way of combating health misinformation, it is important to acknow…
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…
Automatically Assessing Quality of Online Health Articles
Fariha Afsana, Muhammad Ashad Kabir, Naeemul Hassan +1
The information ecosystem today is overwhelmed by an unprecedented quantity of data on versatile topics are with varied quality. However, the quality of information disseminated in…
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…