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Documenting Web Data for Social Research (#DocuWeb22): A participatory workshop for developing structured and reusable practices.

, , and . WebSci, page 478-479. ACM, (2022)

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On the Reliability and Validity of Detecting Approval of Political Actors in Tweets., , and . EMNLP (1), page 1413-1426. Association for Computational Linguistics, (2020)(Mis)Measuring People's Attitudes from Social Media.. CSCW Companion, page 159-164. ACM, (2020)A Twitter Corpus for Hindi-English Code Mixed POS Tagging., , and . SocialNLP@ACL, page 12-17. Association for Computational Linguistics, (2018)Ünsex me here": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples., , , , and . CoRR, (2020)People Make Better Edits: Measuring the Efficacy of LLM-Generated Counterfactually Augmented Data for Harmful Language Detection., , , , , and . EMNLP, page 10480-10504. Association for Computational Linguistics, (2023)Identifying, characterizing, and mitigating errors in the automated measurement of social constructs from text data. RWTH Aachen University, Germany, (2024)base-search.net (ftrwthaachenpubl:oai:publications.rwth-aachen.de:989926).A Total Error Framework for Digital Traces of Humans, , , , and . (2019)cite arxiv:1907.08228Comment: 18 pages, 2 figures, Working Paper. Updated title, removed figure 3, merged redundancies in background.Documenting Web Data for Social Research (#DocuWeb22): A participatory workshop for developing structured and reusable practices., , and . WebSci, page 478-479. ACM, (2022)How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?, , , , and . EMNLP (1), page 325-344. Association for Computational Linguistics, (2021)"Call me sexist, but..." : Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples., , , , and . ICWSM, page 573-584. AAAI Press, (2021)