activity
20202022
most citedMaking a Radical Misogynist: How online social engagement with the Manosphere influences traits of radicalization

32 citations · 36 across the 8 of their papers we have counts for

collaborators

9 papers

cs.CL2022

Style Matters! Investigating Linguistic Style in Online Communities

Osama Khalid, Padmini Srinivasan

Content has historically been the primary lens used to study language in online communities. This paper instead focuses on the linguistic style of communities. While we know that i…

cs.CL2022

Smells like Teen Spirit: An Exploration of Sensorial Style in Literary Genres

Osama Khalid, Padmini Srinivasan

It is well recognized that sensory perceptions and language have interconnections through numerous studies in psychology, neuroscience, and sensorial linguistics. Set in this rich…

cs.CL2022★ 1 cited

Don't sweat the small stuff, classify the rest: Sample Shielding to protect text classifiers against adversarial attacks

Jonathan Rusert, Padmini Srinivasan

Deep learning (DL) is being used extensively for text classification. However, researchers have demonstrated the vulnerability of such classifiers to adversarial attacks. Attackers…

cs.CL2022★ 1 cited

A Girl Has A Name, And It's ... Adversarial Authorship Attribution for Deobfuscation

Wanyue Zhai, Jonathan Rusert, Zubair Shafiq +1

Recent advances in natural language processing have enabled powerful privacy-invasive authorship attribution. To counter authorship attribution, researchers have proposed a variety…

cs.CL2022

Suum Cuique: Studying Bias in Taboo Detection with a Community Perspective

Osama Khalid, Jonathan Rusert, Padmini Srinivasan

Prior research has discussed and illustrated the need to consider linguistic norms at the community level when studying taboo (hateful/offensive/toxic etc.) language. However, a me…

cs.CL2022

On The Robustness of Offensive Language Classifiers

Jonathan Rusert, Zubair Shafiq, Padmini Srinivasan

Social media platforms are deploying machine learning based offensive language classification systems to combat hateful, racist, and other forms of offensive speech at scale. Howev…

cs.SI2022★ 32 cited

Making a Radical Misogynist: How online social engagement with the Manosphere influences traits of radicalization

Hussam Habib, Padmini Srinivasan, Rishab Nithyanand

The algorithms and the interactions facilitated by online platforms have been used by radical groups to recruit vulnerable individuals to their cause. This has resulted in the shar…

cs.LG2021★ 2 cited

Avengers Ensemble! Improving Transferability of Authorship Obfuscation

Muhammad Haroon, Fareed Zaffar, Padmini Srinivasan +1

Stylometric approaches have been shown to be quite effective for real-world authorship attribution. To mitigate the privacy threat posed by authorship attribution, researchers have…

cs.CL2020

A Girl Has A Name: Detecting Authorship Obfuscation

Asad Mahmood, Zubair Shafiq, Padmini Srinivasan

Authorship attribution aims to identify the author of a text based on the stylometric analysis. Authorship obfuscation, on the other hand, aims to protect against authorship attrib…