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Md Main Uddin Rony
Md Main Uddin Rony
PhD Candidate, College of Information Studies, University of Maryland, College Park
Verified email at umd.edu - Homepage
Title
Cited by
Cited by
Year
Diving deep into clickbaits: Who use them to what extents in which topics with what effects?
MMU Rony, N Hassan, M Yousuf
Proceedings of the 2017 IEEE/ACM international conference on advances in …, 2017
1372017
Does clickbait actually attract more clicks? Three clickbait studies you must read
M D. Molina, SS Sundar, MMU Rony, N Hassan, T Le, D Lee
Proceedings of the 2021 CHI conference on human factors in computing systems …, 2021
282021
Fact-checking initiatives in bangladesh, india, and nepal: a study of user engagement and challenges
MM Haque, M Yousuf, Z Arman, MMU Rony, AS Alam, KM Hasan, ...
arXiv preprint arXiv:1811.01806, 2018
142018
BaitBuster: a clickbait identification framework
MMU Rony, N Hassan, M Yousuf
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
142018
A large-scale study of social media sources in news articles
MMU Rony, M Yousuf, N Hassan
arXiv preprint arXiv:1810.13078, 2018
132018
Examining the role of clickbait headlines to engage readers with reliable health-related information
S Bhowmik, MMU Rony, MM Haque, KA Swain, N Hassan
arXiv preprint arXiv:1911.11214, 2019
102019
ClaimViz: Visual analytics for identifying and verifying factual claims
MMU Rony, E Hoque, N Hassan
2020 IEEE Visualization Conference (VIS), 246-250, 2020
92020
A large-scale analysis of health journalism by reliable and unreliable media
S Dhoju, MMU Rony, MA Kabir, N Hassan
MEDINFO 2019: Health and Wellbeing e-Networks for All, 93-97, 2019
82019
BaitBuster: Destined to Save You Some Clicks
MMU Rony, N Hassan, M Yousuf
Proceedings of Computation+ Journalism Symposium, 2017
62017
Boon or Bane for Political Engagement: A Large-Scale Study of Normalization of Facebook
M Yousuf, N Hassan, MMU Rony
68th Annual ICA Conference Paper, Prague, 2018
22018
Exploring the Potential of the Large Language Models (LLMs) in Identifying Misleading News Headlines
MMU Rony, MM Haque, M Ali, AS Alam, N Hassan
arXiv preprint arXiv:2405.03153, 2024
12024
Exploring the Tensions between the Owners and the Drivers of Uber Cars in Urban Bangladesh
SMT Haque, R Rashed, M Bin Morshed, MMU Rony, N Hassan, SI Ahmed
Proceedings of the ACM on Human-Computer Interaction 5 (CSCW1), 1-25, 2021
12021
Facilitating generation and presentation of advanced insights
MMU Rony, F Du, IA Burhanuddin, R Rossi, NH Chhaya, E Koh
US Patent App. 18/484,674, 2024
2024
Facilitating generation and presentation of advanced insights
MMU Rony, F Du, IA Burhanuddin, R Rossi, NH Chhaya, E Koh
US Patent 11,829,705, 2023
2023
Augmenting Visualizations with Predictive and Investigative Insights to Facilitate Decision Making
MMU Rony, F Du, R Rossi, J Hoffswell, N Chhaya, I Burhanuddin, E Koh
Companion Proceedings of the ACM Web Conference 2023, 77-81, 2023
2023
Exploring informativeness of Clickbait headlines: You won’t believe what we have found
MDMU RONY
2020
Towards Misleading Connection Mining
MMU Rony
2019
Differences between Health Related News Articles from Reliable and Unreliable Media
S Dhoju, MMU Rony, N Hassan
arXiv preprint arXiv:1811.01852, 2018
2018
Diving Deep into Clickbaits
MMU Rony, N Hassan, M Yousuf
Varying Amounts of Information in Health News Headlines Can Affect User Selection and Interactivity
R Yaros, M Haque, MMU Rony, N Hassan
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