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Research

Papers, reports, datasets, and abstracts from Tattle's work on misinformation, online harms, and civic tech.

Featured
4 November, 2025

Make it Real : Mapping Safety Responses to AI-facilitated Gendered Harms

Report
deepfakes
online gender-based violence

A report we worked on with RATI foundation that examines how AI-generated content, popularly known as ‘deepfakes’, is impacting and reshaping online harassment. Drawing from cases reported to Rati's helpline Meri Trustline, the report reveals a concerning trend: while media & headlines often center on celebrities and politicians targeted through AI, a more personal crisis is also unfolding. Ordinary survivors are being targeted through images that are artificially generated but possess the capacity for real harm. The incidents are rarely revealed to close family circles, let alone feature in larger discourse.

16 June 2024

The Uli Dataset: An Exercise in Experience Led Annotation of oGBV

dataset
participatory approach
uli
online gender-based violence

Addressing the need for automated detection of online gender-based violence, this paper presents a dataset on gendered abuse in Hindi, Tamil, and Indian English, created through a participatory approach involving experts from the LGBTQIA community in South Asia. This paper was accepted at the Workshop on Online Harms and Abuse at NAACL 2024

8th December, 2023

Shared Task: Gendered Abuse Detection in Indic Languages

dataset
NLP
gender abuse

A shared task conducted at ICON 2023 based on the Uli Dataset to build NLP systems that detect online gender-based violence

5 September, 2023

To think of interdisciplinarity as intercurrence

interdisciplinarity
intercurrence
machine learning
gender-based violence
temporalities

Reflecting on the interdisciplinary collaboration of researchers and activists in developing Uli, this paper emphasizes the integration of qualitative methods and the concept of intercurrence (an occurrence within an occurrence) to navigate the complexities and unexpected outcomes in interdisciplinary research.

12 June, 2023

Visuais Para Tecnologia Emancipatória: Um Estudo de Caso Sobre a Cocriação de uma Linguagem Visual Para Combater a Violência de Género Online no Twitter Indiano Autores

Uli
Visual Design
Online Gender-based Violence

Highlighting the co-design efforts of a diverse team, this essay explores the visual design process for Uli, and the creation of an alternate visual culture to challenge dominant social media narratives.

February, 2023

Designing for Disagreements: A Machine Learning Tool to Detect Online Gender-based Violence.

ML
Uli
Development Journey

This essay discusses the development and challenges of the Uli tool, a user-facing browser plug-in using machine learning and participatory approaches to detect and mitigate online gender-based violence in Indian English, Hindi, and Tamil on Twitter.

22 November, 2022

Does Incentivization Promote Sharing “True” Content Online?

incentives
information-sharing
misinformation
social media
web monetization

To understand the impact of incentives on online information-sharing behavior, this study created a mock social media platform and found that both financial and social incentives increased the sharing of true information, with demographic factors such as age, education, and political ideology also playing a role.

30 July, 2021

Crowdsourcing Aid: A case study of the Information Chaos during India's Second Covid-19 Wave

Whatsapp
Covid-19
India
Report

Based on analysis of Covid-19 relief groups on WhatsApp, this report contends that the second wave in India showed a new facet of Information Disorder that challenged existing conceptions of misinformation response.

10 June, 2021

Check Mate: Prioritizing User Generated Multi-Media Content for Fact-Checking

Dataset
Multi-media
Claims-detection

This paper presents a novel dataset that can be used to prioritize check-worthy posts from multi-media content in Hindi. It is unique in its 1) focus on user generated content, 2) language and 3) accommodation of multi-modality in social media posts. This Dataset was accepted at ICWSM 2021.

7 June, 2021

A Contextual Inquiry of The International Fact-Checking Network and Factuality on Social Media

Factuality
IFCN
Abstract

ICWSM 2021 Workshop on Information Credibility & Alternative Realities in Troubled Democracies

24 March, 2021

Against Platform Universalism: A Case Study of Platform-Seeded Trends and Non/Algorithmic Paternalism from India

Indian Social Media
Paper
Talk

Presentation at the Annual Conference of Platform Governance Research Network

15 March, 2021

Ethical Approaches to Closed Messaging Research: Considerations in Democratic Contexts

Responsible Data Collection
Chat Apps
Paper

Report on responsible data collection from chat applications.

4 October, 2019

Considerations in Archiving Content from Encrypted Messaging Apps

Responsible Data Collection
Chat Apps
Paper

Abstract presentation at Workshop on Comparative Approaches to Disinformation, Berkman Klein Center, Harvard University

4 October, 2019

Data Collection and Management at Tattle

Tattle Process
Paper

Presentation at Conference for Truth and Trust Online

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