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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).Worth its Weight in Likes: Towards Detecting Fake Likes on Instagram., , , , , and . WebSci, page 205-209. ACM, (2018)Empowering First Responders through Automated Multimodal Content Moderation., , , , and . ICCC, page 1-8. IEEE Computer Society, (2018)An Open Multilingual System for Scoring Readability of Wikipedia., , and . ACL (1), page 6296-6311. Association for Computational Linguistics, (2024)Depression at Work: Exploring Depression in Major US Companies from Online Reviews., , , , , , and . Proc. ACM Hum. Comput. Interact., 6 (CSCW2): 1-21 (2022)