Anwitaman Datta
Biographic Data
| ID | 3925358 |
|---|---|
| NAME | Anwitaman Datta |
| GIVEN NAMES | Anwitaman |
| FAMILY NAME | Datta |
| SIGNATURE | DATTA A |
| AFFILIATIONS | Nanyang Technological University |
| ORCID | 0000-0002-4203-1572 |
| VERIFIED | Yes |
| TOTAL WORKS | 6 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 6 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2012 |
| LATEST PUBLICATION YEAR | 2024 |
| H-INDEX | 1 |
(Mis)leading the Covid-19 Vaccination Discourse on Twitter
In this work, we collect a moderate-sized representative corpus of tweets (over 200 000) pertaining to COVID-19 vaccination spanning for a period of seven months (September 2020–March 2021). Following a transfer learning approach, we utilize a pretrained transformer-based XLNet model to classify tweets as misleading or nonmisleading and manually validate the results with random subsets of samples. We leverage this to study and contrast the charac…
Amir
Misinformation has emerged as a major societal threat in the recent years in general; specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by fueling vaccine hesitancy. Cost-effective, scalable solutions for combating misinformation are the need of the hour. This work explored how existing information obtained from social media and augmented with more curated fact checked data repositories can be harnessed to …
Centrality informed embedding of networks for temporal feature extraction
An ego network analysis of sextortionists
We consider a particular instance of user interactions in the Bitcoin network, that of interactions among wallet addresses belonging to scammers. Aggregation of multiple inputs and change addresses are common heuristics used to establish relationships among addresses and analyze transaction amounts in the Bitcoin network. We propose a flow centric approach that complements such heuristics, by studying the branching, merger and propagation of Bitc…
Computational Trust Models
Mining latent relations in peer-production environments
An ego network analysis of sextortionists
We consider a particular instance of user interactions in the Bitcoin network, that of interactions among wallet addresses belonging to scammers. Aggregation of multiple inputs and change addresses are common heuristics used to establish relationships among addresses and analyze transaction amounts in the Bitcoin network. We propose a flow centric approach that complements such heuristics, by studying the branching, merger and propagation of Bitc…
Mining latent relations in peer-production environments
Mining latent relations in peer-production environments
Computational Trust Models
An ego network analysis of sextortionists
We consider a particular instance of user interactions in the Bitcoin network, that of interactions among wallet addresses belonging to scammers. Aggregation of multiple inputs and change addresses are common heuristics used to establish relationships among addresses and analyze transaction amounts in the Bitcoin network. We propose a flow centric approach that complements such heuristics, by studying the branching, merger and propagation of Bitc…
Centrality informed embedding of networks for temporal feature extraction
(Mis)leading the Covid-19 Vaccination Discourse on Twitter
In this work, we collect a moderate-sized representative corpus of tweets (over 200 000) pertaining to COVID-19 vaccination spanning for a period of seven months (September 2020–March 2021). Following a transfer learning approach, we utilize a pretrained transformer-based XLNet model to classify tweets as misleading or nonmisleading and manually validate the results with random subsets of samples. We leverage this to study and contrast the charac…
Amir
Misinformation has emerged as a major societal threat in the recent years in general; specifically in the context of the COVID-19 pandemic, it has wrecked havoc, for instance, by fueling vaccine hesitancy. Cost-effective, scalable solutions for combating misinformation are the need of the hour. This work explored how existing information obtained from social media and augmented with more curated fact checked data repositories can be harnessed to …
Computer Science (6 works) · Artificial Intelligence (3 works) · Computer security (3 works) · Complex Network Analysis Techniques (2 works) · Data science (2 works) · Misinformation (2 works) · Misinformation and Its Impacts (2 works) · Theoretical Computer Science (2 works) · Vaccine Coverage and Hesitancy (2 works) · 2019-20 coronavirus outbreak (1 work)