Nitin Sawhney

Biographic Data

ID4448836
NAMENitin Sawhney
GIVEN NAMESNitin
FAMILY NAMESawhney
SIGNATURESAWHNEY N
AFFILIATIONSAalto University
ORCID0000-0002-8088-914X
VERIFIEDYes
TOTAL WORKS6
TOTAL CITATIONS5
WORKS AS AUTHOR6
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2015
LATEST PUBLICATION YEAR2026
H-INDEX2

  • From prejudice to marginalization

    Open AccessAli Unlu, Sophie Truong et al.ARTICLENew Media & Society2026Cited by: 1References: 93

    This study investigates online hate speech in Finland, particularly Twitter messages targeting people of Muslim faith and the LGBTQ+ community, using a mixed-methods approach that combines quantitative text classification with a BERT model and qualitative thematic analysis via BERTopic and examination of highly interacted posts from 2018 to 2023. The study shows increasing instances of hate speech occurring online, primarily against Muslims, with…

  • Tracing the dynamics of misinformation and vaccine stance in Finland amid Covid-19

    Open AccessAli Unlu, Sophie Truong et al.ARTICLEInformation Communication & Society2025

    This study analyzed 1,683,700 vaccine-related tweets in Finnish using FinBERT language model, Botometer, and BERTopic, from December 2019 to October 2022. A strong correlation was identified between Negative Stance towards Vaccines (NSV) and misinformation, with an upward trend over time and a significant role of malicious bot accounts. Topic modeling revealed persistent themes of vaccine skepticism and diverse misinformation themes adapting to d…

  • Unveiling the Veiled Threat

    Open AccessAli Unlu, Sophie Truong et al.ARTICLESocial Science Computer Review2024Cited by: 2References: 6

    This article presents the results of a comprehensive study examining the influence of bots on the dissemination of COVID-19 misinformation and negative vaccine stance on Twitter over a period of three years. The research employed a tripartite methodology: text classification, topic modeling, and network analysis to explore this phenomenon. Text classification, leveraging the Turku University FinBERT pre-trained embeddings model, differentiated be…

  • Setting the misinformation agenda

    Open AccessAli Unlu, Sophie Truong et al.ARTICLENew Media & Society2024Cited by: 2References: 5

    This research investigates the dynamics of COVID-19 misinformation spread on Twitter within the unique context of Finland. Employing cutting-edge methodologies including text classification, topic modeling, social network analysis, and correspondence analysis (CA), the study analyzes 1.6 million Finnish tweets from December 2019 to October 2022. Misinformation tweets are identified through text classification and grouped into topics using BERTopi…

  • Contestations in urban mobility

    Open AccessNitin SawhneyARTICLEAI & Society2023

    Cities today are dynamic urban ecosystems with evolving physical, socio-cultural, and technological infrastructures. Many contestations arise from the effects of inequitable access and intersecting crises currently faced by cities, which may be amplified by the algorithmic and data-centric infrastructures being introduced in urban contexts. In this article, I argue for a critical lens into how inter-related urban technologies, big data and polici…

  • Civic Engagement through DIY Urbanism and Collective Networked Action

    Nitin Sawhney, Christo de Klerk et al.ARTICLEPlanning Practice and Research2015

    In this paper, we examine do-it-yourself (DIY) urbanism through place-based and technology initiatives that support collective networked action to foster civic engagement in neighborhood contexts. The goal is to engage informal and ad-hoc networks of individual and collective actors in productively addressing critical conditions within their urban localities. Based on participatory research and co-design with residents and urban activist groups, …