78 citations · 119 across the 14 of their papers we have counts for
16 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…
Towards Automated Sexual Violence Report Tracking
Naeemul Hassan, Amrit Poudel, Jason Hale +4
Tracking sexual violence is a challenging task. In this paper, we present a supervised learning-based automated sexual violence report tracking model that is more scalable, and rel…
Can Women Break the Glass Ceiling?: An Analysis of #MeToo Hashtagged Posts on Twitter
Naeemul Hassan, Manash Kumar Mandal, Mansurul Bhuiyan +2
In October 2017, there happened the uprising of an unprecedented online movement on social media by women across the world who started publicly sharing their untold stories of bein…
Understanding the Silence of Sexual Harassment Victims Through the #WhyIDidntReport Movement
Abigail Garrett, Naeemul Hassan
Sexual violence is a serious problem across the globe. A lot of victims, particularly women, go through this experience. Unfortunately, not all of these violent incidents come to p…
Differences between Health Related News Articles from Reliable and Unreliable Media
Sameer Dhoju, Md Main Uddin Rony, Naeemul Hassan
In this study, we examine a collection of health-related news articles published by reliable and unreliable media outlets. Our analysis shows that there are structural, topical, an…
Fact-checking Initiatives in Bangladesh, India, and Nepal: A Study of User Engagement and Challenges
Md Mahfuzul Haque, Mohammad Yousuf, Zahedur Arman +5
Fake news and misinformation spread in developing countries as fast as they do in developed countries with increasing penetration of the internet and social media. However, fightin…
A Large-scale Study of Social Media Sources in News Articles
Md Main Uddin Rony, Mohammad Yousuf, Naeemul Hassan
In this study, we closely look at the use of social media contents as source or reference in the U.S. news media. Specifically, we examine about 60 thousand news articles published…
Diving Deep into Clickbaits: Who Use Them to What Extents in Which Topics with What Effects?
Md Main Uddin Rony, Naeemul Hassan, Mohammad Yousuf
The use of alluring headlines (clickbait) to tempt the readers has become a growing practice nowadays. For the sake of existence in the highly competitive media industry, most of t…
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…
Crowdsourcing Pareto-Optimal Object Finding by Pairwise Comparisons
Abolfazl Asudeh, Gensheng Zhang, Naeemul Hassan +2
This is the first study on crowdsourcing Pareto-optimal object finding, which has applications in public opinion collection, group decision making, and information exploration. Dep…
Incremental Discovery of Prominent Situational Facts
Afroza Sultana, Naeemul Hassan, Chengkai Li +2
We study the novel problem of finding new, prominent situational facts, which are emerging statements about objects that stand out within certain contexts. Many such facts are news…