147 citations · 293 across the 24 of their papers we have counts for
25 papers
What You Like: Generating Explainable Topical Recommendations for Twitter Using Social Annotations
Parantapa Bhattacharya, Saptarshi Ghosh, Muhammad Bilal Zafar +2
With over 500 million tweets posted per day, in Twitter, it is difficult for Twitter users to discover interesting content from the deluge of uninteresting posts. In this work, we…
Analyzing Regrettable Communications on Twitter: Characterizing Deleted Tweets and Their Authors
Parantapa Bhattacharya, Saptarshi Ghosh, Niloy Ganguly
Over 500 million tweets are posted in Twitter each day, out of which about 11% tweets are deleted by the users posting them. This phenomenon of widespread deletion of tweets leads…
CAVES: A Dataset to facilitate Explainable Classification and Summarization of Concerns towards COVID Vaccines
Soham Poddar, Azlaan Mustafa Samad, Rajdeep Mukherjee +2
Convincing people to get vaccinated against COVID-19 is a key societal challenge in the present times. As a first step towards this goal, many prior works have relied on social med…
FaiRIR: Mitigating Exposure Bias from Related Item Recommendations in Two-Sided Platforms
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh +2
Related Item Recommendations (RIRs) are ubiquitous in most online platforms today, including e-commerce and content streaming sites. These recommendations not only help users compa…
Alexa, in you, I trust! Fairness and Interpretability Issues in E-commerce Search through Smart Speakers
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh +2
In traditional (desktop) e-commerce search, a customer issues a specific query and the system returns a ranked list of products in order of relevance to the query. An increasingly…
Incorporating Domain Knowledge for Extractive Summarization of Legal Case Documents
Paheli Bhattacharya, Soham Poddar, Koustav Rudra +2
Automatic summarization of legal case documents is an important and practical challenge. Apart from many domain-independent text summarization algorithms that can be used for this…
When the Umpire is also a Player: Bias in Private Label Product Recommendations on E-commerce Marketplaces
Abhisek Dash, Abhijnan Chakraborty, Saptarshi Ghosh +2
Algorithmic recommendations mediate interactions between millions of customers and products (in turn, their producers and sellers) on large e-commerce marketplaces like Amazon. In…
Fairness for Whom? Understanding the Reader's Perception of Fairness in Text Summarization
Anurag Shandilya, Abhisek Dash, Abhijnan Chakraborty +2
With the surge in user-generated textual information, there has been a recent increase in the use of summarization algorithms for providing an overview of the extensive content. Tr…
An Unsupervised Normalization Algorithm for Noisy Text: A Case Study for Information Retrieval and Stance Detection
Anurag Roy, Shalmoli Ghosh, Kripabandhu Ghosh +1
A large fraction of textual data available today contains various types of 'noise', such as OCR noise in digitized documents, noise due to informal writing style of users on microb…
A Survey on Disaster: Understanding the After-effects of Super-cyclone Amphan and Helping Hand of Social Media
Soham Poddar, Mainack Mondal, Saptarshi Ghosh
The super-cyclonic storm "Amphan" hit Eastern India, specifically the state of West Bengal, Odisha and parts of Bangladesh in May 2020, and caused severe damage to the regions. In…
Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities
Ritam Dutt, Moumita Basu, Kripabandhu Ghosh +1
During a disaster event, two types of information that are especially useful for coordinating relief operations are needs and availabilities of resources (e.g., food, water, medici…
Stance Detection in Web and Social Media: A Comparative Study
Shalmoli Ghosh, Prajwal Singhania, Siddharth Singh +2
Online forums and social media platforms are increasingly being used to discuss topics of varying polarities where different people take different stances. Several methodologies fo…
Hier-SPCNet: A Legal Statute Hierarchy-based Heterogeneous Network for Computing Legal Case Document Similarity
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1
Computing similarity between two legal case documents is an important and challenging task in Legal IR, for which text-based and network-based measures have been proposed in litera…
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
Anurag Roy, Vinay Kumar Verma, Kripabandhu Ghosh +1
Most existing algorithms for cross-modal Information Retrieval are based on a supervised train-test setup, where a model learns to align the mode of the query (e.g., text) to the m…
NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities
Kaustubh Hiware, Ritam Dutt, Sayan Sinha +3
Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario…
Methods for Computing Legal Document Similarity: A Comparative Study
Paheli Bhattacharya, Kripabandhu Ghosh, Arindam Pal +1
Computing similarity between two legal documents is an important and challenging task in the domain of Legal Information Retrieval. Finding similar legal documents has many applica…
Identification of Rhetorical Roles of Sentences in Indian Legal Judgments
Paheli Bhattacharya, Shounak Paul, Kripabandhu Ghosh +2
Automatically understanding the rhetorical roles of sentences in a legal case judgement is an important problem to solve, since it can help in several downstream tasks like summari…
A Network-centric Framework for Auditing Recommendation Systems
Abhisek Dash, Animesh Mukherjee, Saptarshi Ghosh
To improve the experience of consumers, all social media, commerce and entertainment sites deploy Recommendation Systems (RSs) that aim to help users locate interesting content. Th…
Summarizing User-generated Textual Content: Motivation and Methods for Fairness in Algorithmic Summaries
Abhisek Dash, Anurag Shandilya, Arindam Biswas +3
As the amount of user-generated textual content grows rapidly, text summarization algorithms are increasingly being used to provide users a quick overview of the information conten…
Ensemble-based Overlapping Community Detection using Disjoint Community Structures
Tanmoy Chakraborty, Saptarshi Ghosh, Noseong Park
While there has been a plethora of approaches for detecting disjoint communities from real-world complex networks, some methods for detecting overlapping community structures have…
On Quantifying Knowledge Segregation in Society
Abhijnan Chakraborty, Muhammad Ali, Saptarshi Ghosh +2
With rapid increase in online information consumption, especially via social media sites, there have been concerns on whether people are getting selective exposure to a biased subs…
Microblog Retrieval for Post-Disaster Relief: Applying and Comparing Neural IR Models
Prannay Khosla, Moumita Basu, Kripabandhu Ghosh +1
Microblogging sites like Twitter and Weibo have emerged as important sourcesof real-time information on ongoing events, including socio-political events, emergency events, and so o…
Characterizing Information Diets of Social Media Users
Juhi Kulshrestha, Muhammad Bilal Zafar, Lisette Espin-Noboa +2
With the widespread adoption of social media sites like Twitter and Facebook, there has been a shift in the way information is produced and consumed. Earlier, the only producers of…
Quantifying Search Bias: Investigating Sources of Bias for Political Searches in Social Media
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias +4
Search systems in online social media sites are frequently used to find information about ongoing events and people. For topics with multiple competing perspectives, such as politi…