Search Results for author: Ritam Dutt

Found 13 papers, 6 papers with code

When Fair Ranking Meets Uncertain Inference

1 code implementation5 May 2021 Avijit Ghosh, Ritam Dutt, Christo Wilson

Existing fair ranking systems, especially those designed to be demographically fair, assume that accurate demographic information about individuals is available to the ranking algorithm.

Fairness

RESPER: Computationally Modelling Resisting Strategies in Persuasive Conversations

1 code implementation EACL 2021 Ritam Dutt, Sayan Sinha, Rishabh Joshi, Surya Shekhar Chakraborty, Meredith Riggs, Xinru Yan, Haogang Bao, Carolyn Penstein Rosé

Our experiments reveal the asymmetry of power roles in non-collaborative goal-directed conversations and the benefits accrued from incorporating resisting strategies on the final conversation outcome.

Keeping Up Appearances: Computational Modeling of Face Acts in Persuasion Oriented Discussions

1 code implementation EMNLP 2020 Ritam Dutt, Rishabh Joshi, Carolyn Penstein Rose

The notion of face refers to the public self-image of an individual that emerges both from the individual's own actions as well as from the interaction with others.

Utilizing Microblogs for Assisting Post-Disaster Relief Operations via Matching Resource Needs and Availabilities

no code implementations18 Jul 2020 Ritam Dutt, Moumita Basu, Kripabandhu Ghosh, Saptarshi Ghosh

The few prior works that attempted matching only considered the resources, and no attempt has been made to understand other aspects of needs/availabilities that are essential for matching in practice.

NARMADA: Need and Available Resource Managing Assistant for Disasters and Adversities

1 code implementation WS 2020 Kaustubh Hiware, Ritam Dutt, Sayan Sinha, Sohan Patro, Kripabandhu Ghosh, Saptarshi Ghosh

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 -- identifying resource-needs and resource-availabilities in the disaster-affected region, coupled with their subsequent matching.

Information Retrieval

Improving Broad-Coverage Medical Entity Linking with Semantic Type Prediction and Large-Scale Datasets

1 code implementation1 May 2020 Shikhar Vashishth, Denis Newman-Griffis, Rishabh Joshi, Ritam Dutt, Carolyn Rose

To address the dearth of annotated training data for medical entity linking, we present WikiMed and PubMedDS, two large-scale medical entity linking datasets, and demonstrate that pre-training MedType on these datasets further improves entity linking performance.

Entity Disambiguation Entity Linking +2

Analysing the Extent of Misinformation in Cancer Related Tweets

no code implementations30 Mar 2020 Rakesh Bal, Sayan Sinha, Swastika Dutta, Rishabh Joshi, Sayan Ghosh, Ritam Dutt

This helps spread awareness regarding the various causes, cures and prevention methods of cancer.

Misinformation

Public Sphere 2.0: Targeted Commenting in Online News Media

no code implementations21 Feb 2019 Ankan Mullick, Sayan Ghosh, Ritam Dutt, Avijit Ghosh, Abhijnan Chakraborty

Because the readers lack the time to go over an entire article, most of the comments are relevant to only particular sections of an article.

Spread of hate speech in online social media

no code implementations4 Dec 2018 Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee

The present online social media platform is afflicted with several issues, with hate speech being on the predominant forefront.

Social and Information Networks

Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions

no code implementations17 Nov 2018 Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee

In particular, we observe that the choice to post the question as anonymous is dependent on the user's perception of anonymity and they often choose to speak about depression, anxiety, social ties and personal issues under the guise of anonymity.

'Senator, We Sell Ads': Analysis of the 2016 Russian Facebook Ads Campaign

no code implementations26 Sep 2018 Ritam Dutt, Ashok Deb, Emilio Ferrara

The 2016 US presidential election stands out due to suspected foreign influence before, during, and after the election.

Social and Information Networks

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