Detecting Non-Adversarial Collusion in Crowdsourcing. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (HCOMP, 2014)

Building Effective Query Classifiers: A Case Study in Self-harm Intent Detection. - Ashiqur R. KhudaBukhsh; Paul N. Bennett; Ryen W. White (CIKM, 2015)

Proactive Skill Posting in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (Australasian Conference on Artificial Intelligence, 2016)

Distributed Learning in Expert Referral Networks. - Ashiqur R. KhudaBukhsh; Peter J. Jansen; Jaime G. Carbonell (ECAI, 2016)

Proactive-DIEL in Evolving Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (EUMAS/AT, 2016)

Quantifying the Similarity of Algorithm Configurations. - Lin Xu; Ashiqur R. KhudaBukhsh; Holger H. Hoos; Kevin Leyton-Brown (LION, 2016)

SATenstein: Automatically building local search SAT solvers from components. - Ashiqur R. KhudaBukhsh; Lin Xu; Holger H. Hoos; Kevin Leyton-Brown (Artif. Intell., 2016)

Incentive Compatible Proactive Skill Posting in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (EUMAS/AT, 2017)

Endorsement in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (EUMAS, 2018)

Market-Aware Proactive Skill Posting. - Ashiqur R. KhudaBukhsh; Jong Woo Hong; Jaime G. Carbonell (ISMIS, 2018)

Robust learning in expert networks: a comparative analysis. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell; Peter J. Jansen (J. Intell. Inf. Syst., 2018)

Toward Reciprocity-Aware Distributed Learning in Referral Networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (PRICAI (2), 2019)

Expertise drift in referral networks. - Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (Auton. Agents Multi Agent Syst., 2019)

Kashmir: A Computational Analysis of the Voice of Peace. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (CoRR, 2019)

Voice for the Voiceless: Active Sampling to Detect Comments Supporting the Rohingyas. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (AAAI, 2020)

Annotation Efficient Language Identification from Weak Labels. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh (W-NUT@EMNLP, 2020)

The Non-native Speaker Aspect: Indian English in Social Media. - Rupak Sarkar; Sayantan Mahinder; Ashiqur R. KhudaBukhsh (W-NUT@EMNLP, 2020)

Hope Speech Detection: A Computational Analysis of the Voice of Peace. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (ECAI, 2020)

Mining Insights from Large-Scale Corpora Using Fine-Tuned Language Models. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (ECAI, 2020)

The Refugee Experience Online: Surfacing Positivity Amidst Hate. - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Jaime G. Carbonell (ECAI, 2020)

Social Media Attributions in the Context of Water Crisis. - Rupak Sarkar; Sayantan Mahinder; Hirak Sarkar; Ashiqur R. KhudaBukhsh (EMNLP (1), 2020)

Harnessing Code Switching to Transcend the Linguistic Barrier. - Ashiqur R. KhudaBukhsh; Shriphani Palakodety; Jaime G. Carbonell (IJCAI, 2020)

Discovering Bilingual Lexicons in Polyglot Word Embeddings. - Ashiqur R. KhudaBukhsh; Shriphani Palakodety; Tom M. Mitchell (CoRR, 2020)

Are Chess Discussions Racist? An Adversarial Hate Speech Data Set. - Rupak Sarkar; Ashiqur R. KhudaBukhsh (CoRR, 2020)

An Unfair Affinity Toward Fairness: Characterizing 70 Years of Social Biases in BHollywood (Student Abstract). - Kunal Khadilkar; Ashiqur R. KhudaBukhsh (AAAI, 2021)

We Don't Speak the Same Language: Interpreting Polarization through Machine Translation. - Ashiqur R. KhudaBukhsh; Rupak Sarkar; Mark S. Kamlet; Tom M. Mitchell (AAAI, 2021)

Are Chess Discussions Racist? An Adversarial Hate Speech Data Set (Student Abstract). - Rupak Sarkar; Ashiqur R. KhudaBukhsh (AAAI, 2021)

Gender Bias, Social Bias and Representation: 70 Years of B$^H$ollywood. - Kunal Khadilkar; Ashiqur R. KhudaBukhsh; Tom M. Mitchell (CoRR, 2021)

Exploring Polarization of Users Behavior on Twitter During the 2019 South American Protests. - Ramon Alfonso Villa Cox; Helen Shuxuan Zeng; Ashiqur R. KhudaBukhsh; Kathleen M. Carley (CoRR, 2021)

Empathy and Hope: Resource Transfer to Model Inter-country Social Media Dynamics. - Clay H. Yoo; Shriphani Palakodety; Rupak Sarkar; Ashiqur R. KhudaBukhsh (CoRR, 2021)

Low Resource Social Media Text Mining - Shriphani Palakodety; Ashiqur R. KhudaBukhsh; Guha Jayachandran (Springer, 2021)

'Beach' to 'Bitch': Inadvertent Unsafe Transcription of Kids' Content on YouTube. - Krithika Ramesh; Ashiqur R. KhudaBukhsh; Sumeet Kumar (AAAI, 2022)

US News and Social Media Framing Around Vaping. - Keyu Chen; Marzieh Babaeianjelodar; Yiwen Shi; Rohan Aanegola; Lam Yin Cheung; Preslav Ivanov Nakov; Shweta Yadav 001; Angus Bancroft; Ashiqur R. KhudaBukhsh; Munmun De Choudhury; Frederick L. Altice; Navin Kumar 004 (CSoNet, 2022)

A Murder and Protests, the Capitol Riot, and the Chauvin Trial: Estimating Disparate News Media Stance. - Sujan Dutta; Beibei Li; Daniel S. Nagin; Ashiqur R. KhudaBukhsh (IJCAI, 2022)

Conversational Inequality Through the Lens of Political Interruption. - Clay H. Yoo; Jiachen Wang; Yuxi Luo; Kunal Khadilkar; Ashiqur R. KhudaBukhsh (IJCAI, 2022)

How Is Vaping Framed on Online Knowledge Dissemination Platforms? - Keyu Chen; Yiwen Shi; Jun Luo; Joyce Jiang; Shweta Yadav 001; Munmun De Choudhury; Ashiqur R. KhudaBukhsh; Marzieh Babaeianjelodar; Frederick L. Altice; Navin Kumar 004 (SBP-BRiMS, 2022)

Linguistic and News-Sharing Polarization During the 2019 South American Protests. - Ramon Villa Cox; Helen Shuxuan Zeng; Ashiqur R. KhudaBukhsh; Kathleen M. Carley (SocInfo, 2022)

Harnessing Unsupervised Word Translation to Address Resource Inequality for Peace and Health. - Ashiqur R. KhudaBukhsh; Shriphani Palakodety; Tom M. Mitchell (SocInfo, 2022)

Fringe News Networks: Dynamics of US News Viewership following the 2020 Presidential Election. - Ashiqur R. KhudaBukhsh; Rupak Sarkar; Mark S. Kamlet; Tom M. Mitchell (WebSci, 2022)

Partisan US News Media Representations of Syrian Refugees. - Keyu Chen; Marzieh Babaeianjelodar; Yiwen Shi; Kamila Janmohamed; Rupak Sarkar; Ingmar Weber; Thomas Davidson; Munmun De Choudhury; Jonathan Huang; Shweta Yadav 001; Ashiqur R. KhudaBukhsh; Preslav Ivanov Nakov; et al. (CoRR, 2022)

Gender bias, social bias, and representation: 70 years of BHollywood. - Kunal Khadilkar; Ashiqur R. KhudaBukhsh; Tom M. Mitchell (Patterns, 2022)

Gender bias, social bias, and representation in Bollywood and Hollywood. - Kunal Khadilkar; Ashiqur R. KhudaBukhsh; Tom M. Mitchell (Patterns, 2022)

Auditing and Robustifying COVID-19 Misinformation Datasets via Anticontent Sampling. - Clay H. Yoo; Ashiqur R. KhudaBukhsh (AAAI, 2023)

Subjective Crowd Disagreements for Subjective Data: Uncovering Meaningful CrowdOpinion with Population-level Learning. - Tharindu Cyril Weerasooriya; Sarah Luger; Saloni Poddar; Ashiqur R. KhudaBukhsh; Christopher Homan (ACL (1), 2023)

Disagreement Matters: Preserving Label Diversity by Jointly Modeling Item and Annotator Label Distributions with DisCo. - Tharindu Cyril Weerasooriya; Alexander Ororbia; Raj Bhensadadia; Ashiqur R. KhudaBukhsh; Christopher Homan (ACL (Findings), 2023)

Quantifying the Transience of Social Web Datasets. - Mohammed Afaan Ansari; Jiten Sidhpura; Vivek Kumar Mandal; Ashiqur R. KhudaBukhsh (ASONAM, 2023)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers: Unifying Human and Machine Disagreement on What is Offensive. - Tharindu Cyril Weerasooriya; Sujan Dutta; Tharindu Ranasinghe; Marcos Zampieri; Christopher Homan; Ashiqur R. KhudaBukhsh (EMNLP, 2023)

Partisan US News Media Representations of Syrian Refugees. - Keyu Chen; Marzieh Babaeianjelodar; Yiwen Shi; Kamila Janmohamed; Rupak Sarkar; Ingmar Weber; Thomas Davidson; Munmun De Choudhury; Jonathan Huang; Shweta Yadav 001; Ashiqur R. KhudaBukhsh; Chris T. Bauch; et al. (ICWSM, 2023)

Disentangling Societal Inequality from Model Biases: Gender Inequality in Divorce Court Proceedings. - Sujan Dutta; Parth Srivastava; Vaishnavi Solunke; Swaprava Nath; Ashiqur R. KhudaBukhsh (IJCAI, 2023)

For Women, Life, Freedom: A Participatory AI-Based Social Web Analysis of a Watershed Moment in Iran's Gender Struggles. - Adel Khorramrouz; Sujan Dutta; Ashiqur R. KhudaBukhsh (IJCAI, 2023)

Vicarious Offense and Noise Audit of Offensive Speech Classifiers. - Tharindu Cyril Weerasooriya; Sujan Dutta; Tharindu Ranasinghe; Marcos Zampieri; Christopher M. Homan; Ashiqur R. KhudaBukhsh (CoRR, 2023)

Quantifying the Academic Quality of Children's Videos using Machine Comprehension. - Sumeet Kumar; Mallikarjuna T.; Ashiqur R. KhudaBukhsh (CoRR, 2023)

Down the Toxicity Rabbit Hole: Investigating PaLM 2 Guardrails. - Adel Khorramrouz; Sujan Dutta; Arka Dutta; Ashiqur R. KhudaBukhsh (CoRR, 2023)

Novax or Novak? Estimating Social Media Stance towards Celebrity Vaccine Hesitancy (Student Abstract). - Madhav Hota; Adel Khorramrouz; Ashiqur R. KhudaBukhsh (AAAI, 2024)

Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense. - Ashiqur R. KhudaBukhsh (AAAI, 2024)

Anonymous Dissent in the Digital Age: A YouTube Dislikes Dataset. - Sujan Dutta; Mallikarjuna T.; Sumeet Kumar; Ashiqur R. KhudaBukhsh (ASONAM (3), 2024)

You Must Be a Trump Supporter: Political Identity Projections on the Social Web. - Shubh Mittal; Tisha Chawla; Ashiqur R. KhudaBukhsh (ASONAM (1), 2024)

Rater Cohesion and Quality from a Vicarious Perspective. - Deepak Pandita; Tharindu Cyril Weerasooriya; Sujan Dutta; Sarah Luger; Tharindu Ranasinghe; Ashiqur R. KhudaBukhsh; Marcos Zampieri; Christopher Homan (EMNLP (Findings), 2024)

Community Needs and Assets: A Computational Analysis of Community Conversations. - Md Towhidul Absar Chowdhury; Naveen Sharma; Ashiqur R. KhudaBukhsh (ICWSM, 2024)

Down the Toxicity Rabbit Hole: A Framework to Bias Audit Large Language Models with Key Emphasis on Racism, Antisemitism, and Misogyny. - Arka Dutta; Adel Khorramrouz; Sujan Dutta; Ashiqur R. KhudaBukhsh (IJCAI, 2024)

A Survival Guide for Iranian Women Prescribed by Iranian Women: Participatory AI to Investigate Intimate Partner Physical Violence in Iran. - Adel Khorramrouz; Mahbeigom Fayyazi; Ashiqur R. KhudaBukhsh (IJCAI, 2024)

Infrastructure Ombudsman: Mining Future Failure Concerns from Structural Disaster Response. - Md Towhidul Absar Chowdhury; Soumyajit Datta; Naveen Sharma; Ashiqur R. KhudaBukhsh (WWW, 2024)

From Bollywood Son Preference to Moral Policing on Women in Iran - A 360° View of Gender Bias. - Ashiqur R. KhudaBukhsh (WWW (Companion Volume), 2024)

Deceptively simple: An outsider's perspective on natural language processing. - Ashiqur R. KhudaBukhsh (AI Mag., 2024)

Mapping Violence: Developing an Extensive Framework to Build a Bangla Sectarian Expression Dataset from Social Media Interactions. - Nazia Tasnim; Sujan Sen Gupta; Md. Istiak Hossain Shihab; Fatiha Islam Juee; Arunima Tahsin; Pritom Ghum; Kanij Fatema; Marshia Haque; Wasema Farzana; Prionti Nasir; Ashiqur R. KhudaBukhsh; Farig Sadeque; et al. (CoRR, 2024)

Gender Representation and Bias in Indian Civil Service Mock Interviews. - Somonnoy Banerjee; Sujan Dutta; Soumyajit Datta; Ashiqur R. KhudaBukhsh (CoRR, 2024)

All You Need Is S P A C E: When Jailbreaking Meets Bias Audit and Reveals What Lies Beneath the Guardrails (Student Abstract). - Arka Dutta; Aman Priyanshu; Ashiqur R. KhudaBukhsh (AAAI, 2025)

ARTICLE: Annotator Reliability Through In-Context Learning. - Sujan Dutta; Deepak Pandita; Tharindu Cyril Weerasooriya; Marcos Zampieri; Christopher M. Homan; Ashiqur R. KhudaBukhsh (AAAI, 2025)

ARTICLE: Annotator Reliability Through In-Context Learning (Student Abstract). - Sujan Dutta; Deepak Pandita; Tharindu Cyril Weerasooriya; Marcos Zampieri; Christopher M. Homan; Ashiqur R. KhudaBukhsh (AAAI, 2025)

Audience Engagement with Political Messaging on YouTube Shorts (Student Abstract). - Omkar Narkar; Aman Vohra; Ashiqur R. KhudaBukhsh (AAAI, 2025)

When Neutral Summaries Are Not That Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries (Student Abstract). - Supriti Vijay; Aman Priyanshu; Ashiqur R. KhudaBukhsh (AAAI, 2025)

Hope vs. Hate: Understanding User Interactions with LGBTQ+ News Content in Mainstream US News Media through the Lens of Hope Speech. - Jonathan Pofcher; Christopher M. Homan; Randall Sell; Ashiqur R. KhudaBukhsh (CoRR, 2025)

Datasets for Depression Modeling in Social Media: An Overview. - Ana-Maria Bucur; Andreea-Codrina Moldovan; Krutika Parvatikar; Marcos Zampieri; Ashiqur R. KhudaBukhsh; Liviu P. Dinu (CoRR, 2025)

Navigating the Rabbit Hole: Emergent Biases in LLM-Generated Attack Narratives Targeting Mental Health Groups. - Rijul Magu; Arka Dutta; Sean Kim; Ashiqur R. KhudaBukhsh; Munmun De Choudhury (CoRR, 2025)

On the State of NLP Approaches to Modeling Depression in Social Media: A Post-COVID-19 Outlook. - Ana-Maria Bucur; Andreea-Codrina Moldovan; Krutika Parvatikar; Marcos Zampieri; Ashiqur R. KhudaBukhsh; Liviu P. Dinu (IEEE J. Biomed. Health Informatics, 2025)