research-article

NivaDuck - A Scalable Pipeline to Build a Database of Political Twitter Handles for India and the United States

Authors:

A’ndre Gonawela,

Sreangsu Acharyya,

Dibyendu Mishra,

Mugdha Mohapatra,

Ramgopal Chandrasekaran,

Joyojeet PalAuthors Info & Claims

SMSociety'20: International Conference on Social Media and Society

Pages 200 - 209

https://doi.org/10.1145/3400806.3400830

Published: 22 July 2020 Publication History

Abstract

We present a scalable methodology to identify Twitter handles of politicians in a given region and test our framework in the context of Indian and US politics. The main contribution of our work is the list of the curated Twitter handles of 18500 Indian and 8000 US politicians. Our work leveraged machine learning-based classification and human verification to build a data set of Indian politicians on Twitter. We built NivaDuck, a highly precise, two-staged classification pipeline that leverages Twitter description text and tweet content to identify politicians. For India, we tested NivaDuck’s recall using Twitter handles of the members of the Indian parliament while for the US we used state and local level politicians in California state and San Diego county respectively. We found that while NivaDuck has lower recall scores, it produces large, diverse sets of politicians with precision exceeding 90 percent for the US dataset. We discuss the need for an ML-based, scalable method to compile such a dataset and its myriad use cases for the research community and its wide-ranging utilities for research in political communication on social media.

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SMSociety'20: International Conference on Social Media and Society

July 2020

317 pages

ISBN:9781450376884

DOI:10.1145/3400806

Editors:
Anatoliy Gruzd
Ryerson University in Canada
,
Philip Mai
Ryerson University in Canada
,
Raquel Recuero
Federal University of Pelotas and Federal University of Rio Grande do Sul in Brazil
,
Ángel Hernández-García
Universidad Politécnica de Madrid in Spain
,
Chei Sian Lee
Nanyang Technological University in Singapore
,
James Cook
University of Maine at Augusta in the United States
,
Jaigris Hodson
Royal Roads University in Canada
,
Bree McEwan
DePaul University in the United States
,
Jill Hopke
DePaul University in the United States

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https://doi.org/10.1371/journal.pone.0316626
Dash SMitra T(2024)Decoding The Playbook: Multi-Modal Characterization of Coordinated Influence Operations on Indian Social MediaACM Journal on Computing and Sustainable Societies10.1145/36757602:4(1-19)Online publication date: 28-Nov-2024
https://dl.acm.org/doi/10.1145/3675760
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https://dl.acm.org/doi/10.1145/3653709
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https://dl.acm.org/doi/10.1145/3530190.3534800
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