11 papers
Automating Categorization of Scientific Texts with In-Context Learning and Prompt-Chaining in Large Language Models
Gautam Kishore Shahi, Oliver Hummel
The relentless expansion of scientific literature presents significant challenges for navigation and knowledge discovery. Within Research Information Retrieval, established tasks s…
When Transparency Falls Short: Auditing Platform Moderation During a High-Stakes Election
Benedetta Tessa, Gautam Kishore Shahi, Amaury Trujillo +1
During major political events, social media platforms encounter increased systemic risks. However, it is still unclear if and how they adjust their moderation practices in response…
Defining, Understanding, and Detecting Online Toxicity: Challenges and Machine Learning Approaches
Gautam Kishore Shahi, Tim A. Majchrzak
Online toxic content has grown into a pervasive phenomenon, intensifying during times of crisis, elections, and social unrest. A significant amount of research has been focused on…
SemCAFE: When Named Entities make the Difference Assessing Web Source Reliability through Entity-level Analytics
Gautam Kishore Shahi, Oshani Seneviratne, Marc Spaniol
With the shift from traditional to digital media, the online landscape now hosts not only reliable news articles but also a significant amount of unreliable content. Digital media…
WhatsApp Tiplines and Multilingual Claims in the 2021 Indian Assembly Elections
Gautam Kishore Shahi, Scot A. Hale
WhatsApp tiplines, first launched in 2019 to combat misinformation, enable users to interact with fact-checkers to verify misleading content. This study analyzes 580 unique claims…
Multimodal Misinformation Detection Using Early Fusion of Linguistic, Visual, and Social Features
Gautam Kishore Shahi
Amid a tidal wave of misinformation flooding social media during elections and crises, extensive research has been conducted on misinformation detection, primarily focusing on text…