18 citations · 44 across the 20 of their papers we have counts for
23 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…
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…
A Year of the DSA Transparency Database: What it (Does Not) Reveal About Platform Moderation During the 2024 European Parliament Election
Gautam Kishore Shahi, Benedetta Tessa, Amaury Trujillo +1
Social media platforms face heightened risks during major political events; yet, how platforms adapt their moderation practices in response remains unclear. The Digital Services Ac…
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…
Too Little, Too Late: Moderation of Misinformation around the Russo-Ukrainian Conflict
Gautam Kishore Shahi, Yelena Mejova
In this study, we examine the role of Twitter as a first line of defense against misinformation by tracking the public engagement with, and the platforms response to, 500 tweets co…
On the Effectiveness of Large Language Models in Automating Categorization of Scientific Texts
Gautam Kishore Shahi, Oliver Hummel
The rapid advancement of Large Language Models (LLMs) has led to a multitude of application opportunities. One traditional task for Information Retrieval systems is the summarizati…
Hate Speech Detection Using Cross-Platform Social Media Data In English and German Language
Gautam Kishore Shahi, Tim A. Majchrzak
Hate speech has grown into a pervasive phenomenon, intensifying during times of crisis, elections, and social unrest. Multiple approaches have been developed to detect hate speech…
Multi-Platform Framing Analysis: A Case Study of Kristiansand Quran Burning
Anna-Katharina Jung, Gautam Kishore Shahi, Jennifer Fromm +2
The framing of events in various media and discourse spaces is crucial in the era of misinformation and polarization. Many studies, however, are limited to specific media or networ…
Enhancing Research Information Systems with Identification of Domain Experts
Gautam Kishore Shahi, Oliver Hummel
Research organisations and their research outputs have been growing considerably in the past decades. This large body of knowledge attracts various stakeholders, e.g., for knowledg…
TweetInfo: An Interactive System to Mitigate Online Harm
Gautam Kishore Shahi
The increase in active users on social networking sites (SNSs) has also observed an increase in harmful content on social media sites. Harmful content is described as an inappropri…
FakeClaim: A Multiple Platform-driven Dataset for Identification of Fake News on 2023 Israel-Hamas War
Gautam Kishore Shahi, Amit Kumar Jaiswal, Thomas Mandl
We contribute the first publicly available dataset of factual claims from different platforms and fake YouTube videos on the 2023 Israel-Hamas war for automatic fake YouTube video…
Regret, Delete, (Do Not) Repeat: An Analysis of Self-Cleaning Practices on Twitter After the Outbreak of the COVID-19 Pandemic
Nicolás E. Díaz Ferreyra, Gautam Kishore Shahi, Catherine Tony +2
During the outbreak of the COVID-19 pandemic, many people shared their symptoms across Online Social Networks (OSNs) like Twitter, hoping for others' advice or moral support. Prior…
Towards a Better Understanding of Online Influence: Differences in Twitter CommunicationBetween Companies and Influencers
Diana C. Hernandez-Bocanegra, Angela Borchert, Felix Brünker +2
In the last decade, Social Media platforms such as Twitter have gained importance in the various marketing strategies of companies. This work aims to examine the presence of influe…
Overview of the HASOC Subtrack at FIRE 2021: Hate Speech and Offensive Content Identification in English and Indo-Aryan Languages
Thomas Mandl, Sandip Modha, Gautam Kishore Shahi +8
The widespread of offensive content online such as hate speech poses a growing societal problem. AI tools are necessary for supporting the moderation process at online platforms. F…
Overview of the CLEF--2021 CheckThat! Lab on Detecting Check-Worthy Claims, Previously Fact-Checked Claims, and Fake News
Preslav Nakov, Giovanni Da San Martino, Tamer Elsayed +16
We describe the fourth edition of the CheckThat! Lab, part of the 2021 Conference and Labs of the Evaluation Forum (CLEF). The lab evaluates technology supporting tasks related to…
Who shapes crisis communication on Twitter? An analysis of influential German-language accounts during the COVID-19 pandemic
Gautam Kishore Shahi, Sünje Clausen, Stefan Stieglitz
Twitter is becoming an increasingly important platform for disseminating information during crisis situations, such as the COVID-19 pandemic. Effective crisis communication on Twit…
Tiplines to Combat Misinformation on Encrypted Platforms: A Case Study of the 2019 Indian Election on WhatsApp
Ashkan Kazemi, Kiran Garimella, Gautam Kishore Shahi +2
There is currently no easy way to fact-check content on WhatsApp and other end-to-end encrypted platforms at scale. In this paper, we analyze the usefulness of a crowd-sourced "tip…
AMUSED: An Annotation Framework of Multi-modal Social Media Data
Gautam Kishore Shahi
In this paper, we present a semi-automated framework called AMUSED for gathering multi-modal annotated data from the multiple social media platforms. The framework is designed to m…
FakeCovid -- A Multilingual Cross-domain Fact Check News Dataset for COVID-19
Gautam Kishore Shahi, Durgesh Nandini
In this paper, we present a first multilingual cross-domain dataset of 5182 fact-checked news articles for COVID-19, collected from 04/01/2020 to 15/05/2020. We have collected the…
An Exploratory Study of COVID-19 Misinformation on Twitter
Gautam Kishore Shahi, Anne Dirkson, Tim A. Majchrzak
During the COVID-19 pandemic, social media has become a home ground for misinformation. To tackle this infodemic, scientific oversight, as well as a better understanding by practit…