A Tempest in a Teacup? Analyzing Firestorms on Twitter. - Hemank Lamba; Momin M. Malik; Jürgen Pfeffer (ASONAM, 2015)

Visualizing the variational callgraph of the Linux kernel: an approach for reasoning about dependencies [poster]. - Momin M. Malik; Jürgen Pfeffer; Gabriel Ferreira; Christian Kästner (HotSoS, 2016)

Identifying Platform Effects in Social Media Data. - Momin M. Malik; Jürgen Pfeffer (ICWSM, 2016)

Do #ifdefs influence the occurrence of vulnerabilities? an empirical study of the linux kernel. - Gabriel Ferreira; Momin M. Malik; Christian Kästner; Jürgen Pfeffer; Sven Apel (SPLC, 2016)

Bias and beyond in digital trace data. - Momin M. Malik (2018)

Reports of the Workshops Held at the 2019 International AAAI Conference on Web and Social Media. - Diego Alburez-Gutierrez; Eshwar Chandrasekharan; Rumi Chunara; Sofia Gil-Clavel; Aniko Hannak; Roberto Interdonato; Kenneth Joseph; Kyriaki Kalimeri; Momin M. Malik; Katja Mayer; Yelena Mejova; Daniela Paolotti; et al. (AI Mag., 2019)

A Hierarchy of Limitations in Machine Learning. - Momin M. Malik (CoRR, 2020)

Can Smartphone Co-locations Detect Friendship? It Depends How You Model It. - Momin M. Malik; Afsaneh Doryab; Michael Merrill; Jürgen Pfeffer; Anind K. Dey (CoRR, 2020)

Media Cloud: Massive Open Source Collection of Global News on the Open Web. - Hal Roberts; Rahul Bhargava; Linas Valiukas; Dennis Jen; Momin M. Malik; Cindy Bishop; Emily Ndulue; Aashka Dave; Justin Clark; Bruce Etling; Robert Faris; Anushka Shah; et al. (ICWSM, 2021)

Critical Technical Awakenings. - Maya Malik; Momin M. Malik (J. Soc. Comput., 2021)

The role of individual-level socioeconomic status on bias of machine learning algorithm. - Euijung Ryu; Katherine S. King; Sunghwan Sohn; Chung-Il Wi; Momin M. Malik; Richard R. Sharp; John D. Halamka; Young J. Juhn (AMIA, 2022)

Glowing Experience or Bad Trip? A Quantitative Analysis of User Reported Drug Experiences on Erowid.org. - Angelina Mooseder; Momin M. Malik; Hemank Lamba; Earth Erowid; Sylvia Thyssen; Jürgen Pfeffer (ICWSM, 2022)

Assessing socioeconomic bias in machine learning algorithms in health care: a case study of the HOUSES index. - Young J. Juhn; Euijung Ryu; Chung-Il Wi; Katherine S. King; Momin M. Malik; Santiago Romero-Brufau; Chunhua Weng; Sunghwan Sohn; Richard R. Sharp; John D. Halamka (J. Am. Medical Informatics Assoc., 2022)

REFORMS: Reporting Standards for Machine Learning Based Science. - Sayash Kapoor; Emily Cantrell; Kenny Peng; Thanh Hien Pham; Christopher A. Bail; Odd Erik Gundersen; Jake M. Hofman; Jessica Hullman; Michael A. Lones; Momin M. Malik; Priyanka Nanayakkara; Russell A. Poldrack; et al. (CoRR, 2023)