most citedModeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing

8 citations · 11 across the 2 of their papers we have counts for

collaborators

6 papers

cs.SI20193 cited

Classifying Relevant Social Media Posts During Disasters Using Ensemble of Domain-agnostic and Domain-specific Word Embeddings

Ganesh Nalluru, Rahul Pandey, Hemant Purohit

The use of social media as a means of communication has significantly increased over recent years. There is a plethora of information flow over the different topics of discussion,…

cs.SI20198 cited

Modeling Human Annotation Errors to Design Bias-Aware Systems for Social Stream Processing

Rahul Pandey, Carlos Castillo, Hemant Purohit

High-quality human annotations are necessary to create effective machine learning systems for social media. Low-quality human annotations indirectly contribute to the creation of i…

cs.SI2019

Relevancy Classification of Multimodal Social Media Streams for Emergency Services

Ganesh Nalluru, Rahul Pandey, Hemant Purohit

Social media has become an integral part of our daily lives. During time-critical events, the public shares a variety of posts on social media including reports for resource needs,…

cs.SI2018

AI for Trustworthiness! Credible User Identification on Social Web for Disaster Response Agencies

Rahul Pandey, Hemant Purohit, Jennifer Chan +1

Although social media provides a vibrant platform to discuss real-world events, the quantity of information generated can overwhelm decision making based on that information. By be…

cs.SI2018

Distributional Semantics Approach to Detect Intent in Twitter Conversations on Sexual Assaults

Rahul Pandey, Hemant Purohit, Bonnie Stabile +1

The recent surge in women reporting sexual assault and harassment (e.g., #metoo campaign) has highlighted a longstanding societal crisis. This injustice is partly due to a culture…

cs.SI2018

Ranking of Social Media Alerts with Workload Bounds in Emergency Operation Centers

Hemant Purohit, Carlos Castillo, Muhammad Imran +1

Extensive research on social media usage during emergencies has shown its value to provide life-saving information, if a mechanism is in place to filter and prioritize messages. Ex…