Enthusiasm and support: alternative sentiment classification for social movements on social media. - Shubhanshu Mishra; Sneha Agarwal; Jinlong Guo; Kirstin C. Phelps; Johna Picco; Jana Diesner (WebSci, 2014)

Sentiment Analysis with Incremental Human-in-the-Loop Learning and Lexical Resource Customization. - Shubhanshu Mishra; Jana Diesner; Jason Byrne; Elizabeth Surbeck (HT, 2015)

Semi-supervised Named Entity Recognition in noisy-text. - Shubhanshu Mishra; Jana Diesner (NUT@COLING, 2016)

Quantifying Conceptual Novelty in the Biomedical Literature. - Shubhanshu Mishra; Vetle I. Torvik (D Lib Mag., 2016)

Detecting the Correlation between Sentiment and User-level as well as Text-Level Meta-data from Benchmark Corpora. - Shubhanshu Mishra; Jana Diesner (HT, 2018)

Adversarial perturbations to manipulate the perception of power and influence in networks. - Mihai Valentin Avram; Shubhanshu Mishra; Nikolaus Nova Parulian; Jana Diesner (ASONAM, 2019)

3Idiots at HASOC 2019: Fine-tuning Transformer Neural Networks for Hate Speech Identification in Indo-European Languages. - Shubhanshu Mishra; Sudhanshu Mishra (FIRE (Working Notes), 2019)

Multi-dataset-multi-task Neural Sequence Tagging for Information Extraction from Tweets. - Shubhanshu Mishra (HT, 2019)

Capturing Signals of Enthusiasm and Support Towards Social Issues from Twitter. - Shubhanshu Mishra; Jana Diesner (SIdEWayS@HT, 2019)

Multilingual Joint Fine-tuning of Transformer models for identifying Trolling, Aggression and Cyberbullying at TRAC 2020. - Sudhanshu Mishra; Shivangi Prasad; Shubhanshu Mishra (TRAC@LREC, 2020)

WikiCSSH: Extracting Computer Science Subject Headings from Wikipedia. - Kanyao Han; Pingjing Yang; Shubhanshu Mishra; Jana Diesner (ADBIS/TPDL/EDA Workshops, 2020)

Non-neural Structured Prediction for Event Detection from News in Indian Languages. - Shubhanshu Mishra (FIRE (Working Notes), 2020)

Assessing Demographic Bias in Named Entity Recognition. - Shubhanshu Mishra; Sijun He; Luca Belli (CoRR, 2020)

A Framework for Generating Annotated Social Media Corpora with Demographics, Stance, Civility, and Topicality. - Shubhanshu Mishra; Daniel Collier (CoRR, 2020)

Effectiveness of the Execution and Prevention of Metric-Based Adversarial Attacks on Social Network Data †. - Nikolaus Nova Parulian; Tiffany Lu; Shubhanshu Mishra; Mihai Avram 001; Jana Diesner (Inf., 2020)

Information extraction from digital social trace data with applications to social media and scholarly communication data. - Shubhanshu Mishra (SIGIR Forum, 2020)

Information extraction from digital social trace data with applications to social media and scholarly communication data - Shubhanshu Mishra (2020)

Improved Multilingual Language Model Pretraining for Social Media Text via Translation Pair Prediction. - Shubhanshu Mishra; Aria Haghighi (W-NUT, 2021)

LMSOC: An Approach for Socially Sensitive Pretraining. - Vivek Kulkarni; Shubhanshu Mishra; Aria Haghighi (EMNLP (Findings), 2021)

WikiCSSH: Extracting and Evaluating Computer Science Subject Headings from Wikipedia. - Kanyao Han; Pingjing Yang; Shubhanshu Mishra; Jana Diesner (CoRR, 2021)

Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency. - Kyra Yee; Uthaipon Tantipongpipat; Shubhanshu Mishra (Proc. ACM Hum. Comput. Interact., 2021)

Exploring Multi-Task Multi-Lingual Learning of Transformer Models for Hate Speech and Offensive Speech Identification in Social Media. - Sudhanshu Mishra; Shivangi Prasad; Shubhanshu Mishra (SN Comput. Sci., 2021)

Information Extraction from Social Media: A Hands-on Tutorial on Tasks, Data, and Open Source Tools. - Shubhanshu Mishra; Rezvaneh Rezapour; Jana Diesner (CIKM, 2022)

Robust Candidate Generation for Entity Linking on Short Social Media Texts. - Liam Hebert; Raheleh Makki; Shubhanshu Mishra; Hamidreza Saghir; Anusha Kamath; Yuval Merhav (W-NUT@COLING, 2022)

NTULM: Enriching Social Media Text Representations with Non-Textual Units. - Jinning Li 001; Shubhanshu Mishra; Ahmed El-Kishky; Sneha Mehta; Vivek Kulkarni (W-NUT@COLING, 2022)

BigBio: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason A. Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Sunny Kang; Rosaline Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (NeurIPS, 2022)

TweetNERD - End to End Entity Linking Benchmark for Tweets. - Shubhanshu Mishra; Aman Saini; Raheleh Makki; Sneha Mehta; Aria Haghighi; Ali Mollahosseini (NeurIPS, 2022)

BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing. - Jason Alan Fries; Leon Weber; Natasha Seelam; Gabriel Altay; Debajyoti Datta; Samuele Garda; Myungsun Kang; Ruisi Su; Wojciech Kusa; Samuel Cahyawijaya; Fabio Barth; Simon Ott; et al. (CoRR, 2022)

PyTAIL: Interactive and Incremental Learning of NLP Models with Human in the Loop for Online Data. - Shubhanshu Mishra; Jana Diesner (CoRR, 2022)

Beyond Binary Gender Labels: Revealing Gender Biases in LLMs through Gender-Neutral Name Predictions. - Zhiwen You; Haejin Lee; Shubhanshu Mishra; Sullam Jeoung; Apratim Mishra; Jinseok Kim 001; Jana Diesner (CoRR, 2024)

Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards. - Haejin Lee; Shubhanshu Mishra; Apratim Mishra; Zhiwen You; Jinseok Kim 001; Jana Diesner (CoRR, 2025)